A wireless power supply system for a superconducting offshore wind turbine is provided, relates to the technical field of offshore wind power generation, and includes a shell, and a vacuum Dewar flask, a superconducting motor and rotary flux-pump wireless power supply device which are arranged inside the shell. A refrigerating apparatus is rotatably arranged inside the vacuum Dewar flask. An outer rotor and an inner rotor of the rotary flux-pump wireless power supply device rotate differentially. Permanent magnets on the outer rotor induce a direct-current output voltage on high-temperature superconducting stator strips on the inner rotor, to input a direct current to the excitation windings of the superconducting motor, so as to form a magnetic field, and induce an output voltage at the armature winding of the superconducting motor.
F03D 9/25 - Mécanismes moteurs à vent caractérisés par l’appareil entrainé l’appareil étant un générateur électrique
F03D 15/10 - Transmission de l’énergie mécanique utilisant un engrenage non limité à un mouvement rotatif, p. ex. comportant des organes oscillants ou à mouvement alternatif
F03D 80/60 - Refroidissement ou chauffage des mécanismes moteurs à vent
H02K 7/18 - Association structurelle de génératrices électriques à des moteurs mécaniques d'entraînement, p. ex. à des turbines
H02K 55/04 - Machines dynamo-électriques comportant des enroulements qui fonctionnent à des températures cryogéniques du type synchrone avec des enroulements à champ tournant
2.
SHAPE-CUSTOMIZABLE PNEUMATIC SOFT ACTUATOR AND SOFT ROBOT
A shape-customizable pneumatic soft actuator and a soft robot. The pneumatic soft actuator comprises a pneumatic deformable member (1), an embedded rod structure and several shape customization members (4), wherein a cavity is formed in the pneumatic deformable member (1), and an external independent air source is in communication with the cavity in the pneumatic deformable member (1); the embedded rod structure is mounted at the bottom of the pneumatic deformable member (1), and comprises a base body (2) and a plurality of insertion rods (3), the base body (2) being provided with a plurality of first through holes, and the plurality of insertion rods (3) being respectively embedded into the plurality of first through holes in the base body (2); and the several shape customization members (4) are mounted on at least two insertion rods (3), so as to constrain the deformation of the pneumatic deformable member (1) and the base body (2), thereby completing different grasping or operating tasks. The shape of the pneumatic soft actuator is reconfigured by means of the shape customization members (4), such that the grabbing effect of a soft robot on different target objects can be improved; and by means of the coupling effect of a rigid-flexible structure, the load capacity of the soft robot can be improved.
A modular variable stiffness pneumatic soft actuator, comprising a gas-driven bending member (1), a connecting mechanism (3), a variable stiffness mechanism (4), and a deformation limiting member (2). A cavity is formed inside the gas-driven bending member, and an external independent gas source is communicated with the cavity in the gas-driven bending member. The deformation limiting member is located on one side of the gas-driven bending member, and the connecting mechanism is located on the other side of the deformation limiting member. The variable stiffness mechanism comprises a plurality of variable stiffness members, and one of the plurality of variable stiffness members is mounted on the other side of the connecting mechanism. Further provided is a soft robot. By selecting the variable stiffness mechanism having different equivalent densities, the soft actuator changes the stiffness of the gas-driven soft actuator, achieves a variable stiffness design of the soft robot, and thereby achieves flexible control of the stiffness of the soft robot.
Provided are a method and apparatus for single-pixel thermal imaging detection of surface and internal defects of a material. The laser module is configured to generate uniform laser light. The spatial light modulation module is configured to spatially encode and modulate received uniform laser light. The projection lens module is configured to project and amplify an encoded light field, and project the encoded light field onto a surface of an object under detection. The optical convergence coupling module is configured to capture and image thermal radiation of the object under detection, and integrate and sum thermal radiation intensities of a projection heating area to obtain a thermal radiation temperature. The thermal infrared single-pixel detector is configured to measure the thermal radiation temperature. The image reconstruction module is configured to sparsely reconstruct data, and finally reconstruct a defect detection result of the projection heating area.
H04N 23/11 - Caméras ou modules de caméras comprenant des capteurs d'images électroniquesLeur commande pour générer des signaux d'image à partir de différentes longueurs d'onde pour générer des signaux d'image à partir de longueurs d'onde de lumière visible et infrarouge
H04N 23/21 - Caméras ou modules de caméras comprenant des capteurs d'images électroniquesLeur commande pour générer des signaux d'image uniquement à partir d'un rayonnement infrarouge à partir du rayonnement infrarouge proche [NIR]
5.
Reactive power optimization method for power system based on distributed interval optimization, and computer medium
The provided is a reactive power optimization method for a power system based on distributed interval optimization, including following steps: S1. constructing a first model, where the first model includes an interval reactive power optimization model of a power system with a high renewable energy penetration rate, and the interval reactive power optimization model includes an objective function, a first constraint, and a constraint of an interval power flow equation; S2. obtaining a first state variable interval based on the constraint of interval power flow equation and a distributed interval power flow algorithm; S3. Converting the first model based on the first state variable interval and a security limit definition method, and obtaining a second model, where the second model includes a deterministic optimization model; and S4. obtaining a voltage and reactive power control strategy based on the second model and a primal-dual interior point method.
Disclosed in the present invention is a lightweight defect detection method based on hybrid multi-scale knowledge distillation. The method comprises: constructing a dataset; constructing a teacher network model and a lightweight student network model; using the dataset to train the teacher network model, and saving a weight file of the trained teacher network model; and loading into the teacher network model the saved weight file of the teacher network model, inputting defect images in the dataset into the teacher network model and the student network model to respectively obtain first multi-scale features and second multi-scale features, respectively inputting the first multi-scale features and the second multi-scale features into a cascaded knowledge blending module to obtain final deeply fused first multi-scale features and final deeply fused second multi-scale features, then calculating a hybrid multi-scale knowledge loss, and in combination with the prediction loss of the student network model, using a backpropagation algorithm to update network parameters, so as to obtain a trained lightweight student network model for implementing defect detection of intelligent manufacturing products. The cognitive ability and recognition performance for defects of different scales are improved.
The provided is a generalized energy storage control method and system. The method includes: Acquiring a pre-established energy storage control model, where the energy storage control model includes an scheduling objective expression and power system constraints corresponding to the objective scheduling expression; Determining control parameters of the energy storage aggregation system based on the power system constraints and the objective scheduling expression; Determining an aggregated output curve of the energy storage aggregation system according to the control parameters, where the aggregated output curve characterizes the power output variation along time; Decomposing the aggregated output curve to obtain a respective decomposed output curve for each individual energy storage system within the energy storage aggregation system; Operating each energy storage system in accordance with its respective decomposed output curve. This method improves the operational security and reliability of the power system.
A process for preparing valpromide of formula I and sodium valproate of formula II which comprises: cyanoacetate and 1-chloropropane are subjected to composite catalytic dipropylation in the presence of alkali to obtain 2-cyano-2-valproate of formula III; 2-cyano-2-valproate is hydrolyzed and deacidified to give propylvaleronitrile of formula V; propylvaleronitrile is alcoholized in the presence of acid to give valpromide of formula I and valproate ester of formula VI; and valproate ester is hydrolyzed in a sodium hydroxide solution to afford sodium valproate of formula II.
C07C 231/06 - Préparation d'amides d'acides carboxyliques à partir de nitriles par transformation de groupes cyano en groupes carboxamide
B01J 31/02 - Catalyseurs contenant des hydrures, des complexes de coordination ou des composés organiques contenant des composés organiques ou des hydrures métalliques
C07C 51/41 - Préparation de sels d'acides carboxyliques par conversion de ces acides ou de leurs sels en sels ayant la même partie acide carboxylique
9.
PHARMACEUTICAL HYPERSPECTRAL RECONSTRUCTION METHOD BASED ON CODED APERTURE SNAPSHOT SPECTRAL IMAGING SYSTEM
A pharmaceutical hyperspectral reconstruction method based on a coded aperture snapshot spectral imaging (CASSI) system includes: collecting and processing original pharmaceutical hyperspectral images to obtain augmented pharmaceutical hyperspectral images; performing simulated spatial encoding on the augmented pharmaceutical hyperspectral images to obtain encoded measurement images; performing spectral inverse shift on the encoded measurement images, then performing inverse encoding to obtain inversely encoded three-dimensional hyperspectral images, using the augmented pharmaceutical hyperspectral images as target images, and constructing a training set and a testing set according to the inversely encoded three-dimensional hyperspectral images and the target images; constructing a deep symmetric neural reconstruction network, and training and testing the deep symmetric neural reconstruction network; and deploying a tested deep symmetric neural reconstruction network onto the CASSI system, real-time collecting pharmaceutical measurement images using the snapshot coded imaging system, and performing computational reconstruction on the pharmaceutical measurement images to obtain reconstructed three-dimensional hyperspectral images.
GREATER BAY AREA INSTITUTE FOR INNOVATION, HUNAN UNIVERSITY (Chine)
Inventeur(s)
Shi, Junfeng
Zhang, Dingxiao
Li, Zenghui
Feng, Yuqing
Wang, Mingshui
Han, Hong
Abrégé
The present disclosure relates to a biochemical field, and provides a polypeptide, the polypeptide includes: (I), an amino acid sequence as shown in any one of SEQ ID No.1, SEQ ID No.4, and SEQ ID No.5; or (II), an amino acid sequence obtained by substituting, deleting, or adding one or more amino acids to the amino acid sequence of (I), and having a same function as the amino acid sequence of (I); or (III) an amino acid sequence with greater than 80% similarity to the amino acid sequence of (I) or (II); or (IV) a cell-penetrating polypeptide obtained by combining the polypeptide of (I), (II), or (III) with a cell-penetrating peptide; or (V) a stapled peptide obtained by stapling the polypeptide of (I), (II), or (IV). The polypeptide has a significant inhibitory effect on methylation and METTL3 expression. A preparation method and use of the polypeptide are further provided.
Disclosed in the present invention is a neural network-based defect detection method for gluing quality on aircraft skin. The method includes: data acquisition: taking photos of aircraft skin by using a camera to acquire image data; preprocessing the acquired image data; annotating the data by using annotation software to acquire a data set for network training; establishing a defect detection network model based on feature erasure and boundary refinement, where the defect detection network model includes a feature extraction network, a semantic-guided feature erasure module, a multi-scale feature fusion network, and a defect prediction network based on boundary refinement, which are sequentially connected, the data set is used for training the network model, and trained model parameters are saved; and detecting a directly collected skin gluing image by using the trained network model and outputting detection results.
B64F 5/60 - Test ou inspection des composants ou des systèmes d'aéronefs
G06V 10/74 - Appariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 10/77 - Traitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
12.
Fault tolerance method based on seabed medium-voltage direct-current converter and redundant topological structure
A fault tolerance method based on a seabed medium-voltage direct-current converter, and a redundant topological structure are provided. The method controls and adjusts working states of resonant conversion modules and switch states of redundant switching structures connected to the resonant conversion modules, to supply power to a load; and in the process of supplying power to the load, obtains fault diagnosis results for the resonant conversion modules. Based on the fault diagnosis results, that a faulty module exists in the resonant conversion modules, the faulty module is removed. After the faulty module is removed, a redundant resonant conversion module is determined, and the working state of the redundant resonant conversion module and the switch state of the redundant switching structure connected to the redundant resonant conversion module are adjusted, wherein the redundant resonant conversion module is configured to replace the faulty module.
H02M 1/32 - Moyens pour protéger les convertisseurs autrement que par mise hors circuit automatique
H02M 1/00 - Détails d'appareils pour transformation
H02M 1/36 - Moyens pour mettre en marche ou arrêter les convertisseurs
H02M 3/00 - Transformation d'une puissance d'entrée en courant continu en une puissance de sortie en courant continu
H02M 3/335 - Transformation d'une puissance d'entrée en courant continu en une puissance de sortie en courant continu avec transformation intermédiaire en courant alternatif par convertisseurs statiques utilisant des tubes à décharge avec électrode de commande ou des dispositifs à semi-conducteurs avec électrodes de commande pour produire le courant alternatif intermédiaire utilisant des dispositifs du type triode ou transistor exigeant l'application continue d'un signal de commande utilisant uniquement des dispositifs à semi-conducteurs
13.
NETWORKED MULTI-ROBOT DATA-DRIVEN FORMATION CONTROL METHOD UNDER PREVIEW MECHANISM
Disclosed in the present invention is a networked multi-robot data-driven formation control method under a preview mechanism. A leader-follower formation method is used, wherein a preview point is determined on a reference trajectory, and by means of a cross-track error between a current position and the preview point, a model-free adaptive control (MFAC) algorithm is used to control an angular velocity; each follower uses the coordinates of a leader as the preview point, and the angular velocity and a linear velocity are respectively controlled by means of the cross-track error and an along-track error between the current position and the preview point; and in the algorithm, the angular velocity is controlled by single-closed-loop MFAC, the linear velocity is controlled by dual-closed-loop MFAC, an error term is controlled by weighted collaborative errors of each robot, forward prediction is used to compensate for network communication constraints in control algorithms, and a velocity control quantity after predictive compensation is transmitted to an end-device robot by means of an edge-end network, thereby realizing stable specific-pattern coordinated formation of multiple mobile robots. The method has stronger scenario applicability, flexibility and scalability.
G05B 13/04 - Systèmes de commande adaptatifs, c.-à-d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques impliquant l'usage de modèles ou de simulateurs
14.
Open-circuit fault diagnosis method for Si/SiC hybrid H-bridge inverter power device applicable to grid-source-storage-vehichle energy management system
An open-circuit fault diagnosis method includes: S1, injecting a switching sequence into a second driving mode of the power device; S2, collecting inverter data and calculating a first output voltage residual; determining whether the first output voltage residual enters a voltage threshold region, and obtaining a first fault flag; if yes, proceeding to step S3; else proceeding to step S4; S3, injecting the switching sequence into an all-driving mode of the power device, collecting inverter data and calculating a second output voltage residual; determining whether the second output voltage residual enters the voltage threshold region, and obtaining a second fault flag; S4, collecting inverter data and calculating a first inductor current pulsation value; and determining whether the first inductor current pulsation value pulsates within an inductor current pulsation region, and obtaining a third fault flag; and S5, performing open-circuit fault diagnosis on the power device based on the fault flags.
G01R 19/165 - Indication de ce qu'un courant ou une tension est, soit supérieur ou inférieur à une valeur prédéterminée, soit à l'intérieur ou à l'extérieur d'une plage de valeurs prédéterminée
15.
Power supply quality improvement-oriented and fault control-oriented economically-integrated medium-voltage grid-connected device with sic module and adaptive control method therefor
An adaptive control method for a fault control-oriented economically-integrated medium-voltage grid-connected device with a silicon carbide (SiC) module, includes: calculating a three-phase bridge arm modulation wave and a fourth bridge arm modulation wave; obtaining a three-phase bridge arm neutral point clamped (NPC) circuit switching signal; obtaining a three-phase bridge arm NPC circuit output voltage; obtaining a fourth bridge arm NPC circuit switching signal; obtaining a fourth bridge arm NPC circuit output voltage; calculating a voltage-stabilizing active vector of each submodule of a cascaded H-bridge (CHB) circuit; obtaining a three-phase bridge arm CHB circuit switching signal; obtaining a fourth bridge arm CHB circuit switching signal based on the fourth bridge arm modulation wave, the fourth bridge arm NPC circuit output voltage, and the voltage-stabilizing active vector of each submodule of the CHB circuit; and performing adaptive control of a grid-connected device based on the CHB circuit switching signal.
H02J 3/00 - Circuits pour réseaux principaux ou de distribution, à courant alternatif
H02M 7/49 - Combinaison des formes de tension de sortie d'une pluralité de convertisseurs
H02M 7/5387 - Transformation d'une puissance d'entrée en courant continu en une puissance de sortie en courant alternatif sans possibilité de réversibilité par convertisseurs statiques utilisant des tubes à décharge avec électrode de commande ou des dispositifs à semi-conducteurs avec électrode de commande utilisant des dispositifs du type triode ou transistor exigeant l'application continue d'un signal de commande utilisant uniquement des dispositifs à semi-conducteurs, p. ex. onduleurs à impulsions à un seul commutateur dans une configuration en pont
16.
ELECTRON PROBE POSITIONING PATTERN, DISPLACEMENT MEASUREMENT METHOD, AND POSITIONING CONTROL METHOD
The present invention discloses an electron probe positioning pattern, displacement measurement method, and positioning control method. A marker region on the substrate comprises a first line set with multiple continuous first lines and a second line set with multiple discontinuous second lines. The first and second line sets are orthogonal, with the spacing of the first line set on the scanning line differing from the spacing of the second line set. This configuration allows the periodic signals of the spacing of both line sets to be separated from a secondary electron-based video signal obtained by scanning the pattern. This separation facilitates the calculation of the electron probe's displacement in two dimensions, enabling the elimination of displacement in subsequent real-time control.
G03F 7/00 - Production par voie photomécanique, p. ex. photolithographique, de surfaces texturées, p. ex. surfaces impriméesMatériaux à cet effet, p. ex. comportant des photoréservesAppareillages spécialement adaptés à cet effet
Disclosed in the present invention is a curved surface assembly constraint-based robot operating margin calculation method, comprising: obtaining assembled aircraft fuselage point clouds X and assembly-pending skin point clouds Y; extracting assembly-pending boundary sequence point clouds E on the basis of the assembled aircraft fuselage point clouds X; performing minimum margin matching on the assembly-pending boundary sequence point clouds E and the assembly-pending skin point clouds Y, searching for the nearest-neighbor matched pair, establishing an error optimization equation of a minimum margin variance constraint; establishing a skin micro-deformation equation on the basis of the fuselage point clouds X, and jointly optimizing a differentiable point cloud matching equation under a local deformation upper limit constraint; using a gradient equation of the differentiable matching equation and a Hessian matrix to calculate a rotation matrix and a translation vector of the next optimization direction; and calculating an optimized error, if the optimized error is less than a preset error threshold or the number of iterations is greater than a preset total number of iterations, outputting a result to obtain a currently matched boundary, and supplying said boundary to a milling operation robot to remove a machining margin to obtain a final assembly curved surface. The present invention improves assembly procedures, achieves efficient calculation, and has extremely high availability.
The present disclosure provides an event camera-based time-to-collision estimation method, an electronic device and a storage medium, which estimates the time-to-collision based on a stream of events acquired by an event camera, overcomes the problem of very large delays in the prior art, and improves the time-to-collision estimation accuracy rate and robustness in autonomous driving scenarios, while the feature of low energy consumption enables the method to be better adapted to embedded scenarios, reducing procurement and running costs, the TTC output frequency of the method of the embodiment can be up to 200 Hz, so the method has great application potential in real-time TTC tasks, and is more suitable for real-time TTC tasks with sudden change in relative speed.
G06V 10/26 - Segmentation de formes dans le champ d’imageDécoupage ou fusion d’éléments d’image visant à établir la région de motif, p. ex. techniques de regroupementDétection d’occlusion
G06V 20/58 - Reconnaissance d’objets en mouvement ou d’obstacles, p. ex. véhicules ou piétonsReconnaissance des objets de la circulation, p. ex. signalisation routière, feux de signalisation ou routes
G07C 5/04 - Enregistrement ou indication du temps de circulation, de fonctionnement, d'arrêt ou d'attente uniquement utilisant des moyens de comptage ou compteurs à horloge
H04N 25/47 - Capteurs d'images avec sortie d'adresse de pixelCapteurs d'images commandés par événementSélection des pixels à lire en fonction des données d'image
19.
HYPERSPECTRAL CALCULATION IMAGING METHOD AND SYSTEM BASED ON MULTI-DOMAIN FUSION OF SPATIAL, SPECTRAL AND FREQUENCY DOMAINS, AND MEDIUM
Disclosed in the present invention are a hyperspectral calculation imaging method and system based on multi-domain fusion of spatial, spectral and frequency domains, and a medium. The method of the present invention comprises: using a two-dimensional offline discrete cosine transform (DCT) to convert an RGB image Y into a frequency domain to obtain a frequency domain feature map Yfreq; extracting a frequency information image (I) from the frequency domain feature map Yfreq; using a two-dimensional offline inverse discrete cosine transform (IDCT) to transform the frequency information image (I) into a spatial domain to obtain a frequency information image Xfreqof the spatial domain; and fusing the frequency information image Xfreq of the spatial domain into the spatial-spectral domain features of the RGB image Y to generate a hyperspectral image (II). The present invention aims to solve the problems of poor detail information and low reconstruction accuracy of hyperspectral images in existing hyperspectral calculation imaging, and realizes high-fidelity reconstruction of a target spectrum.
refzzrefrefdd that is for the host vehicle and the target front vehicle at the current moment. Further provided are an electronic device and a storage medium, which are used for executing the time-to-collision estimation method based on an event camera.
GUANGDONG POWER GRID CO., LTD. POWER DISPATCH CONTROL CENTER (Chine)
SOUTHERN POWER GRID RESEARCH INSTITUTE CO., LTD (Chine)
ZHAOQING POWER SUPPLY BUREAU OF GUANGDONG POWER GRID CO., LTD (Chine)
HUNAN UNIVERSITY (Chine)
Inventeur(s)
Zhao, Ruifeng
Lu, Jiangang
Li, Ming
Wei, Chengzhi
Huang, Runhong
Chen, Yizhe
Gao, Yifan
Gan, Kai
Tu, Chunming
Abrégé
Disclosed in the present invention is a variable coefficient equivalent SISO model based stability analysis method for a grid-connected converter system, comprising the following steps: constructing a variable coefficient equivalent SISO model; obtaining a complex space vector open-loop transfer function on the basis of the variable coefficient equivalent SISO model; and obtaining Nyquist curves under different current loop parameters or phase-locked loop parameters on the basis of the complex space vector open-loop transfer function. If the Nyquist curves surround point (-1,0), the grid-connected converter system is stable; and if the Nyquist curves do not surround point (-1,0), the grid-connected converter system is unstable. The present invention performs small disturbance modeling on the grid-connected converter system, considers the influence of mutual coupling between the phase-locked loop and the inner current loop, and derives a variable coefficient SISO open-loop transfer function capable of characterizing an MIMO system. Compared with the technical solution in the prior art that actual working conditions are not considered, the method disclosed in the present invention can more accurately analyze the system stability of the system under variable working conditions and variable parameters.
G06N 3/0442 - Réseaux récurrents, p. ex. réseaux de Hopfield caractérisés par la présence de mémoire ou de portes, p. ex. mémoire longue à court terme [LSTM] ou unités récurrentes à porte [GRU]
Provided are a power electronic device degradation monitoring apparatus and method. The apparatus includes a power cycling test system, a heat sink, an acoustic emission sensor, a power electronic device under test, and a signal processing system. The acoustic emission sensor is configured to collect a stress wave signal released by the power electronic device under test at each turn-off time and transmitted by the heat sink. The signal processing system is configured to preprocess the stress wave signal collected by the acoustic emission sensor, extract feature components from a preprocessed stress wave signal, calculate key feature parameters of each feature component, and compare the calculated key feature parameters with key feature parameters of the power electronic device under test in a healthy status to obtain a degradation status of the power electronic device under test.
G01N 29/14 - Recherche ou analyse des matériaux par l'emploi d'ondes ultrasonores, sonores ou infrasonoresVisualisation de l'intérieur d'objets par transmission d'ondes ultrasonores ou sonores à travers l'objet utilisant des techniques d'émission acoustique
G01N 29/22 - Recherche ou analyse des matériaux par l'emploi d'ondes ultrasonores, sonores ou infrasonoresVisualisation de l'intérieur d'objets par transmission d'ondes ultrasonores ou sonores à travers l'objet Détails
24.
METHOD AND DEVICE FOR SHORELINE SEGMENTATION IN COMPLEX ENVIRONMENTS BASED ON THE PERSPECTIVE OF AN UNMANNED SURFACE VESSEL (USV)
A method for shoreline segmentation in complex environments based on the perspective of an unmanned surface vessel is provided. A visible light image, a thermal infrared image and a raw radar echo image of a shoreline are obtained. The visible light image and the thermal infrared image are subjected to fusion and feasible region segmentation to obtain an all-weather two-dimensional image information of the shoreline, and an echo image including tiny features is obtained based on the raw radar echo image. An extraction region is constrained and shoreline features are enhanced based on the all-weather two-dimensional image information and the echo image to obtain a multi-feature point cloud dataset for shoreline segmentation.
G06V 10/26 - Segmentation de formes dans le champ d’imageDécoupage ou fusion d’éléments d’image visant à établir la région de motif, p. ex. techniques de regroupementDétection d’occlusion
B63B 35/00 - Embarcations ou structures flottantes similaires spécialement adaptées à des finalités spécifiques et non prévues ailleurs
B63B 43/18 - Amélioration de la sécurité des navires, p. ex. contrôle des avaries, non prévue ailleurs par prévention des abordagesAmélioration de la sécurité des navires, p. ex. contrôle des avaries, non prévue ailleurs par réduction des dommages dus aux abordages
G01S 17/89 - Systèmes lidar, spécialement adaptés pour des applications spécifiques pour la cartographie ou l'imagerie
G06V 10/77 - Traitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source
G06V 10/80 - Fusion, c.-à-d. combinaison des données de diverses sources au niveau du capteur, du prétraitement, de l’extraction des caractéristiques ou de la classification
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06V 20/56 - Contexte ou environnement de l’image à l’extérieur d’un véhicule à partir de capteurs embarqués
25.
ANTI-SEISMIC COMPONENT AND BUFFER WITH DUAL FUNCTIONS OF ENERGY CONSUMPTION AND BEARING CAPACITY
Disclosed in the present invention are an anti-seismic component with dual functions of energy consumption and load bearing, and a buffer. The anti-seismic component includes a core shaft, wherein the core shaft is connected to a first support member and a second support member; an overhanging section of the first support member and an overhanging section of the second support member are respectively arranged on two sides of the core shaft; and an included angle between the first support member and the second support member is less than 180°. The component can be directly used as an inclined brace component of a building frame structure, and uses a circular tube torsional energy consumption mode to replace an axial tension and compression energy consumption mode of a traditional BRB component, thereby eliminating the problem of compressive buckling of a support component and simplifying the structure of a steel structure energy-consumption inclined brace; and there is no need for an external restrain component, thereby reducing steel consumption, avoiding filling with mortar, effectively shortening an installation period, improving the reliability of the component, and greatly reducing the manufacturing cost of the component. Therefore, the component has wide application prospects.
E04H 9/02 - Bâtiments, groupes de bâtiments ou abris conçus pour résister à des situations extérieures anormales, p. ex. à des bombardements, à des séismes ou à des climats extrêmes, ou pour se protéger de ces situations résistant aux séismes ou à l'effondrement du sol
26.
Method for improving uniformity of electromagnetic field inside static microwave resonant cavity
A method for improving uniformity of an electromagnetic field inside a static microwave resonant cavity is provided. The overlap between a nodal point in one mode and an antinodal point in another node inside a microwave resonant cavity is realized by using two different types of anisotropic media, thereby improving distribution uniformity of an electromagnetic field inside a static resonant cavity. The method can reduce the complexity of cavity mechanisms of a microwave oven having a turntable and a flat panel microwave having an electromagnetic stirrer and improve static microwave treatment uniformity, thereby promoting the application of high-temperature and high-power microwave treatment in the fields such as microwave sintering, microwave smelting, and microwave chemical industry.
ZHAOQING POWER SUPPLY BUREAU OF GUANGDONG POWER GRID CO., LTD (Chine)
GUANGDONG POWER GRID CO., LTD. POWER DISPATCH CONTROL CENTER (Chine)
SOUTHERN POWER GRID RESEARCH INSTITUTE CO., LTD (Chine)
HUNAN UNIVERSITY (Chine)
Inventeur(s)
Chen, Yizhe
Gao, Yifan
Gan, Kai
Zhao, Ruifeng
Lu, Jiangang
Li, Ming
Wei, Chengzhi
Huang, Runhong
Tu, Chunming
Xiao, Fan
Guo, Qi
Abrégé
A quantitative characterization method for AHO-VOC output characteristics. The method comprises: step S1, establishing dynamic equations of an AHO-VOC output voltage and a phase angle in a three-phase grid-connected mode, and accordingly determining an AHO-VOC reactive power-voltage nonlinear relationship and an active power-frequency linear relationship when a grid-connected system is in steady-state operation; step S2, decoupling the dynamic equation of the AHO-VOC output voltage, so as to derive an explicit expression of the AHO-VOC output voltage; step S3, analyzing the impact of changes in intrinsic and extrinsic parameters of an AHO-VOC controller on AHO-VOC grid-connected output characteristics, and determining a dominant parameter affecting a change in the output voltage; step S4, designing key parameters of the grid-connected system in consideration of AHO-VOC three-phase grid-connected adaptability; and step S5, on the basis of the key parameters, drawing a relationship curve between the dominant parameter and the output voltage, and determining relational expressions between the dominant parameter and the output voltage in different sections.
SOUTHERN POWER GRID RESEARCH INSTITUTE CO., LTD (Chine)
GUANGDONG POWER GRID CO., LTD. POWER DISPATCH CONTROL CENTER (Chine)
ZHAOQING POWER SUPPLY BUREAU OF GUANGDONG POWER GRID CO., LTD (Chine)
HUNAN UNIVERSITY (Chine)
Inventeur(s)
Li, Ming
Wei, Chengzhi
Huang, Runhong
Zhao, Ruifeng
Lu, Jiangang
Chen, Yizhe
Gao, Yifan
Gan, Kai
Tu, Chunming
Xiao, Fan
Guo, Qi
Abrégé
iimaxmaxthmaxththth. The present invention can simplify a solving process of a voltage sag domain, improve the convergence speed of an algorithm, and is widely applicable to a large complex power grid while ensuring the accuracy of calculation.
Disclosed in the present invention are a connection structure of a box-type UHPC chord member and steel web members, and a construction method therefor. The connection structure comprises a box-type UHPC chord member using a reinforced UHPC structure, a compression web member, and a tension web member; the box-type UHPC chord member, the compression web member, and the tension web member are connected to form a K-shaped gusset connection structure; the box-type UHPC chord member is provided with a gusset plate; a T-shaped perforated steel plate group connected to the gusset plate is provided inside the box-type UHPC chord member; T-shaped perforated steel plates in the T-shaped perforated steel plate group are combined with steel bars in the box-type UHPC chord member to form a PBL connector; the gusset plate is provided with a plurality of high-strength bolts; and the T-shaped perforated steel plate on the tension web member side is further provided with a plurality of first studs. The connection structure of the box-type UHPC chord member and the steel web members has excellent bearing capacity, shearing resistance and drawing resistance.
Disclosed in the present invention are a UHPC bridge deck and a construction method therefor. The UHPC bridge deck comprises a bridge deck body and several cavities, which are located inside the bridge deck body and are parallel to the direction of width of the bridge deck body and distributed spaced apart in the longitudinal direction of the bridge deck body, wherein sealing blocks used for sealing end openings are provided at two ends of each of the cavities; and the cavities comprise first cylindrical cavities in which external unbonded prestressing tendons are provided, and an anchoring block and an anchorage device which is used for anchoring an external unbonded prestressing tendon are provided at each end of each first cylindrical cavity. The construction method is used for constructing the UHPC bridge deck. In the present invention, the crack resistance of the UHPC bridge deck is improved by tensioning the external unbonded prestressing tendons in the first cylindrical cavities, and thus it is unnecessary to enhance the rigidity of the UHPC bridge deck by means of stiffening ribs or steel structures; the external unbonded prestressing tendons have a clear force-bearing mechanism and a simple structure, facilitating improvement in construction efficiency.
A data-driven bipartite-consensus control method for turning a large-sized workpiece by means of multi-robot collaboration. The method comprises the following steps: providing a multi-robot system; establishing a dynamic model for follower robots, discretizing the dynamic model, and constructing a lateral error on the basis of position information between the follower robots and a leader robot; constructing an unknown nonlinear function by using the lateral error and a control input as variables, and establishing a lateral-error data model for the follower robots by using a dynamic linearization technique; designing a bipartite-consensus error on the basis of a topological relationship of the multi-robot system and the lateral error, and in combination with the data model, substituting the bipartite-consensus error into a designed objective function to obtain a data-driven bipartite-consensus controller; designing a parameter estimation algorithm to estimate unknown parameters in the controller, wherein when a corresponding resetting algorithm is satisfied, calculated estimated values are involved in the update of the controller; and calculating a front-wheel steering-angle control signal on the basis of a data-driven bipartite-consensus control algorithm. The control method can ensure the precision and safety in the process in which multiple robots collaboratively move and turn a large-sized workpiece.
G05B 13/04 - Systèmes de commande adaptatifs, c.-à-d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques impliquant l'usage de modèles ou de simulateurs
G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu
G06F 17/11 - Opérations mathématiques complexes pour la résolution d'équations
G06F 119/14 - Analyse des forces ou optimisation des forces, p. ex. forces statiques ou dynamiques
32.
Data-driven bipartite consensus control method for multi-robot collaborative rotation of large workpiece
The provided is a data-driven bipartite consensus control method for multi-robot collaborative rotation of a large workpiece. The method includes: setting a multi-robot system; constructing and discretizing a dynamics model of a follower robot, and constructing a lateral error based on position information between the follower and leader robots; constructing an unknown nonlinear function with the lateral error and a control input as variables, and constructing a lateral error data model of the follower robot through a dynamic linearization technique; designing, based on a topological relationship of the multi-robot system and the lateral error, a bipartite consensus error; substituting the data model into a designed objective function to solve a data-driven bipartite consensus controller; designing a parameter estimation algorithm to estimate an unknown parameter in the controller; allowing an estimated value to participate in a controller update; and calculating a front wheel steering angle control signal.
SOUTHERN POWER GRID RESEARCH INSTITUTE CO., LTD (Chine)
GUANGDONG POWER GRID CO., LTD. POWER DISPATCH CONTROL CENTER (Chine)
ZHAOQING POWER SUPPLY BUREAU OF GUANGDONG POWER GRID CO., LTD (Chine)
HUNAN UNIVERSITY (Chine)
Inventeur(s)
Li, Ming
Wei, Chengzhi
Huang, Runhong
Zhao, Ruifeng
Lu, Jiangang
Chen, Yizhe
Gao, Yifan
Gan, Kai
Xiao, Fan
Guo, Qi
Xie, Weijie
Abrégé
Provided in the present invention is a method for constructing a safe operation domain of a grid-connected converter. The method comprises: firstly, setting an analysis range and analysis precision; determining the maximum quiescent current transmission limit of a grid-connected converter system; after obtaining a region in which a quiescent current injected into a power grid by a converter satisfies the constraint of an expression, determining whether an operating point is within a domain of definition, determining the stability of the system at the current operating point, and determining whether the operating point exceeds an analysis upper limit; and finally, determining an interval consisting of all the operating points with stable small signals, that is, a safe operating domain. The present invention takes the maximum transmission limit and dynamic characteristics of the system into comprehensive consideration, and proposes the use of a safe operation domain to describe the stability of a full operating interval of a converter. By using a safe operating domain, the transmission limit and dynamic characteristics of a converter can be comprehensively reflected, and the stability of a grid-connected converter in the full operating interval can be visually evaluated, thereby avoiding the limitation of traditional methods only being able to display the system stability at specific operating points.
Disclosed in the present invention is a neural network-based aircraft skin gluing quality defect detection method, comprising: data acquisition: using a camera to photograph an aircraft skin to acquire picture data; preprocessing the acquired picture data; annotating the data by means of annotation software to acquire a data set for network training; establishing a feature erasing and boundary refinement-based defect detection network model, wherein the defect detection network model comprises a feature extraction network, a semantically-guided feature erasing module, a multi-scale feature fusion network, and a boundary refinement-based defect prediction network which are connected in sequence; using the data set to train the network model, and storing parameters of the trained model; and using the trained network model to detect a directly acquired skin gluing image, and outputting the detection result. Nondestructive detection of aircraft skin gluing defects can be quickly and accurately achieved, thereby promoting high-quality intelligent manufacturing processes of skins.
The present invention provides a high-accuracy snake arm with large load and long-distance radiation resistance, which includes a driving base body and a snake shaped arm, where the snake shaped arm is composed of parallelly-connected joints connected in series, which includes a plurality of identical movable linkages connected in parallel, each of the parallelly-connected joints further includes platforms; when one of the platforms at the two ends of the plurality of identical movable linkages connected in parallel is fixed, the other platform performs translation motion along a circle relative to the fixed platform. The movable linkage includes at least a link; and a plurality of driving units are installed in the driving base body, each driving unit is respectively connected to each link in the parallelly-connected joint via a steel wire rope.
A fatigue crack propagation rate test device and method based on deep learning, comprises a dual scale Faster Region-based Convolutional Neural Network (Faster-RCNN) to accurately measure a crack length. The device can be used for tracking a crack propagation length of a non-standard test-piece having any geometric size. The method comprises: firstly, acquiring crack data sets of different scales by means of a camera; secondly, training the crack data sets by using the Faster-RCNN; then, constructing a global and local dual scale fast convolutional neural network, and predicting crack lengths under whole times of load cycle; and finally, fusing fracture mechanics to obtain a relationship between the fatigue crack propagation rate and a crack tip stress intensity factor.
Disclosed in the present invention is a UHPC-based wind turbine tower with ground anchor strands. The wind turbine tower comprises a plurality of layers of UHPC tower column sections, which are stacked one on top of another, wherein upper and lower adjacent UHPC tower column sections are connected to each other by means of a tower column transition section; each UHPC tower column section comprises a plurality of UHPC tower column units; the tower column transition section comprises a plurality of UHPC transition sections and a plurality of transverse linkage members; and upper and lower adjacent UHPC tower column units are connected by means of each UHPC transition section. The wind turbine tower further comprises a plurality of prestressed ground anchor strands. Further provided in the present invention is a construction method for the wind turbine tower with ground anchor strands. In a wind turbine tower structure in the present invention, under the action of the ground anchor strands, a UHPC tower column is in a relatively high pressure stress state, such that the advantage of high compressive strength of UHPC can be exploited to the full, thereby improving the performance of the UHPC tower column under stress. A frame-type tower column structure using the UHPC as a main body material has higher rigidity and wind-resistant stability, a low dead weight, a possibly greater height, and good fatigue resistance and durability.
A collaborative-manipulation robotic arm for kitchen waste and a working method thereof are provided. The robotic arm includes: a base, including a transverse first mounting seat and a second mounting seat connected to the first mounting seat and extending downward; a driving mechanism, disposed at an end of the first mounting seat away from the second mounting seat; a front guide claw, an upper end of the front guide claw being connected to the driving mechanism; a fixed blade, disposed on a side of the second mounting seat facing the front guide claw; and a retractable finger, disposed at a lower end on the side of the second mounting seat facing the front guide claw. The fixed blade, the retractable finger, and the second mounting seat form a rear cutting claw.
Disclosed in the present invention are a robotic arm for cooperatively manipulating kitchen waste and a working method thereof. The robotic arm comprises: a base, comprising a transverse first mounting seat and a second mounting seat which is connected to the first mounting seat and extends downwards; a driving mechanism, arranged at the end of the first mounting seat away from the second mounting seat; front guide claws, upper ends thereof being connected to the driving mechanism; a fixed blade, arranged on the side of the second mounting seat facing the front guide claws; and a telescopic finger, arranged at the lower end of the side of the second mounting seat facing the front guide claws. The fixed blade, the telescopic finger and the second mounting seat constitute a rear cutting claw; the front guide claws and the fixed blade can break the bag of bagged waste in cooperation with each other; the front guide claws and the fixed blade can further grab and sort elongated waste in cooperation with each other; in cooperation with each other, the front guide claws and the telescopic finger can fork and sort unburied or semi-buried garbage such as plastic waste and fibers. The present invention selects different execution modes on the basis of different kitchen waste categories, is highly reliable, and improves the sorting effect.
The present invention relates to the technical field of tumor biotherapy, and discloses a genetically engineered bacterium HCS1 of recombinant salmonella typhimurium, and a bacterial agent and the use thereof. The genetically engineered bacterium HCS1 is attenuated salmonella typhimurium lacking relA and spoT genes, and the attenuated salmonella typhimurium is salmonella typhimurium VNP20009. The genetically engineered bacterium HCS1 can not only grow normally, but also, upon infecting a tumor-bearing mouse, can target a tumor site so as to carry out proliferation, and the toxicity thereof with regard to the body is significantly reduced.
The present application discloses a lightweight method for a back frame of phased array radar antenna. The method includes: step 1: establishing a back frame lightweight reliability model; step 2: calculating a displacement constraint condition and reliability indicating that displacement amount maximum value of the back frame of antenna does not exceed a displacement threshold; and step 3: calculating a maximum probability failure point of a displacement constraint condition after a Lagrangian transformation under a preset condition, and calculating an optimal solution of the back frame lightweight reliability model, to determine a phased array radar antenna lightweight reliability parameter. Through technical solutions in the present application, the problem that it is difficult to obtain an accurate probability model of a phased array radar antenna back frame is resolved, thereby a calculation amount in a reliability optimization process is greatly reduced.
G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu
G06F 119/02 - Analyse de fiabilité ou optimisation de fiabilitéAnalyse de défaillance, p. ex. performance dans le pire scénario, analyse du mode de défaillance et de ses effets [FMEA]
G06F 119/14 - Analyse des forces ou optimisation des forces, p. ex. forces statiques ou dynamiques
42.
MEDICINE HYPERSPECTRAL RECONSTRUCTION METHOD BASED ON SNAPSHOT CODED IMAGING SYSTEM
Disclosed in the present invention is a medicine hyperspectral reconstruction method based on a snapshot coded imaging system, comprising: collecting and processing an original medicine hyperspectral image, to obtain an enhanced medicine hyperspectral image; performing analog space coding to obtain a coded measurement image; performing spectral reverse shift on the coded measurement image, and then performing reverse coding, to obtain a three-dimensional hyperspectral image having undergone reverse coding, using the enhanced medicine hyperspectral image as a target image, and constructing a training set and a test set according to the measurement image having undergone reverse coding and the target image; constructing a deep symmetric neural reconstruction network, and training and testing by means of the training set and the test set; and deploying the tested deep symmetric neural reconstruction network to a snapshot coded imaging system, performing collection in real time by using the snapshot coded imaging system to obtain a medicine measurement image, and performing computing reconstruction to obtain a reconstructed three-dimensional hyperspectral image. According to the method, high-quality medicine hyperspectral reconstruction of a snapshot imaging system can be realized.
A workpiece and cutter pose calibration method based on robotic edge milling error tracking, including: 1. generating an edge milling trajectory point cloud; 2. obtaining an actual edge milling three-dimensional point cloud; 3. generating an updated edge milling three-dimensional point cloud; 4. calculating an edge milling allowance error and a posture inclination error; 5. solving position errors of the workpiece and cutter; 6. solving posture errors of the workpiece and cutter; 7. updating pose parameters of the workpiece and cutter; 8. repeating steps 4 to 7 until pose error vectors of the workpiece and cutter are both not greater than corresponding preset thresholds. The disclosure performs error comparison, error modeling, and error tracking on the three-dimensional point cloud and edge milling trajectory point cloud, even if the cutter has system errors such as axis deviation, the disclosure can accurately identify pose errors of the workpiece and cutter during edge milling.
B23Q 17/22 - Agencements sur les machines-outils pour indiquer ou mesurer pour indiquer ou mesurer la position réelle ou désirée de l'outil ou de la pièce
B23C 3/12 - Ébavurage ou finition des arêtes, p. ex. ébarbage des angles soudés
44.
ONLINE DYNAMIC TEST METHOD AND SYSTEM FOR COATING QUALITY OF WORKPIECE
Disclosed in the present invention are an online dynamic test method and system for the coating quality of a workpiece. The method comprises: collecting image data of a workpiece to be tested and preprocessing same, selecting point cloud data of when the swing amplitude of said workpiece is at the maximum, obtaining a first target pose by means of a point cloud registration method, and controlling a mechanical arm to drive an end effector mechanism to arrive at the first target pose; collecting in real time distance information between the end effector mechanism and said workpiece by using a displacement sensor, constructing a real-time test plane coordinate system as a second target pose, and controlling the mechanical arm to drive the end effector mechanism to arrive at the second target pose in real time; and detecting an attachment state of the end effector mechanism and said workpiece by using an optical fiber sensor, after the end effector mechanism is attached to said workpiece, sucking air by means of a suction cup, so as to suction the end effector mechanism to the surface of said workpiece, and a coating quality test module on the end effector mechanism performing a coating quality test on said workpiece. The method can realize an online dynamic test for the coating quality of a workpiece.
0111 into a hyperspectral image frame X constituting a hyperspectral video stream. The present invention uses the RGB video stream and the filtered video stream which is obtained by means of the optical filter to perform video hyperspectral fusion imaging, and uses an advanced deep learning technology to fully mine the features among the RGB image frame, the filtered image frame and the hyperspectral image frame, and thus can achieve rapid imaging of hyperspectral video streams and can be used for realizing small-size video hyperspectral imaging devices having high spatial resolution.
Disclosed in the present invention are a transverse joint structure for UHPC combined box girders and a construction method. The transverse joint structure comprises a prefabricated first UHPC combined box girder, a prefabricated second UHPC combined box girder, and a transverse UHPC joint structure cast-in-place between the first UHPC combined box girder and the second UHPC combined box girder; the first UHPC combined box girder and the second UHPC combined box girder each comprise a UHPC box-shaped shell and a steel lining attached and fixed to the inner wall of the UHPC box-shaped shell; the UHPC box-shaped shell comprises a top plate; the steel lining comprises an exposed supporting plate; the supporting plate of the first UHPC combined box girder is fitted to the supporting plate of the second UHPC combined box girder; the supporting plate of the first UHPC combined box girder, the supporting plate of the second UHPC combined box girder, the top plate of the first UHPC combined box girder, and the top plate of the second UHPC combined box girder define a recessed pouring space having an upper opening; and the transverse UHPC joint structure is cast-in-place molded in the recessed pouring space. The transverse joint structure for UHPC combined box girders has the advantages of being convenient to construct and having low cracking risk at the joints of box girders.
The present invention relates to the technical field of building materials, and disclosed are a full-tailing-based 3D printing additive and the use thereof. The full-tailing-based 3D printing additive disclosed in the present invention is composed of the following raw materials in parts by weight: 100 parts of a full-tailing base material, 1-10 parts of a plasticity and hardening performance regulator, and 3-30 parts of water, wherein the full-tailing base material is prepared by ball-milling 600-850 parts of full tailings, 100-300 parts of cement and 50-200 parts of colored sand; and the plasticity and hardening performance regulator is composed of 100 parts of a plastic surfactant, 0.1-2 parts of sodium fluoroaluminate, 1-5 parts of potassium fluoride and 1-10 parts of a compactness regulator. The full-tailing-based 3D printing additive provided in the present invention can realize the regulation and control of plasticity and hardening forming performance without the need for heating, has a high forming hardness, good weather resistance and durability, is environmentally friendly and pollution-free, odorless, and has a high mechanical strength; the printing conditions are mild, operation is easy, and the material can be used for printing industrial products, cultural and creative products, buildings and other large objects.
A mine tailing-derived self-forming material and the use thereof. The mine tailing-derived self-forming material comprises a full-tailing modified micro powder and a formulating agent, wherein the full-tailing modified micro powder is prepared by mixing and grinding full tailing, a metal smelting slag and a modifier, the modifier comprising calcium citrate, organic fluorine-based calcium sulfonate and water; and the formulating agent is composed of 60 wt% of an aqueous isopentenol polyoxyethylene ether solution, a mixture of a biomass-derived fiber and a thickener, and a K12/saponin composite air-entraining agent. Furthermore, the mine tailing-derived self-forming material can be used for preparing a full-tailing-based forming material and concrete.
A water-based, zero VOCs, micro/nano, environmentally friendly finishing mortar, and a preparation method therefor and a use thereof. The mortar comprises the following components: cement, unclassified tailings and/or ultrafine tailings powder of 350 mesh or above, a colored sand colorant, a regulator, and an appropriate amount of water. The regulator comprises methylallyl alcohol polyoxyethylene ether, a sulfate salt, glycerol polyoxyethylene ether, sasanquasaponin, and water. Unclassified tailings or tailings micro-powder of 350 mesh or above is used for preparation, thereby achieving full utilization of ore dressing tailings, and meeting requirements for comprehensive consumption of ore tailings; the mortar has excellent mechanical strength, adhesion, weather resistance and durability and can be applied to outer surfaces of various materials; no organic resins and VOCs are used in the raw materials of the finishing mortar, and thus, the mortar is environmentally friendly and eco-friendly.
A metal smelting waste residue-derived material, a preparation method therefor and an application thereof, which relate to the technical field of harmless treatment of metal smelting waste residue. The phase composition of the derivative material comprises: the content of calcium carbonate whiskers is no less than 0.5%, and the aspect ratio of the whiskers is 200-1500. A harmless treatment process for iron and steel smelting waste residue: during a process of crushing metal smelting waste residue, adding a calcium silicate salt seed crystal colloid comprising a complexing aid; during a ball milling process, adding a reaction linking agent and a structural control additive; next, introducing CO2 for simultaneous mineralization; and then introducing a smelting waste gas to finally obtain a metal smelting waste residue-derived material. The derived material can be used as an auxiliary material to completely replace slag powder used in cementitious materials, which can reduce the usage amount of cement and improve the performance of the cementitious materials.
The present invention relates to the technical field of mine underground filling. Disclosed are a low-carbon underground filling material and a preparation method therefor. The underground filling material comprises the following raw material components in parts by weight: 20-100 parts of commercial cement or cementing powder, 20-100 parts of a metal smelting slag derived material, 500-5000 parts of beneficiation tailings, and a proper amount of water. According to the low-carbon underground filling material provided by the present invention, the cement consumption can be reduced by 40% or above, and the contribution to carbon emission reduction is great; a large amount of smelting slag and beneficiation tailings can be consumed; the volumetric shrinkage is reduced to 3% or below; the compressive strength of the filling material is improved by 20% or above, and the filling material achieves self-leveling and has good water retention properties (the bleeding rate being 3% or below). The filling material has extremely high application value for mine restoration and comprehensive recycling of tailings.
A sunlight redirection system having light-guiding and heat-insulating prisms, comprising an optical film. The optical film comprises an optical substrate (2) and a prism structure arranged on one surface of the optical substrate (2). The prism structure comprises a plurality of prisms which are periodically arranged and have the same shape. Each prism in the prism structure comprises a first plane (11), a third plane (13), and a second plane (12) respectively connected to the first plane (11) and the third plane (13); the range of the included angle between the first plane (11) and a reference plane (20) of the optical substrate (2) is configured to be from 8 degrees to 12 degrees; the range of the included angle between the third plane (13) and the reference plane (20) of the optical substrate (2) is configured to be from 30 degrees to 35 degrees; the included angle between the third plane (13) and the second plane (12) is configured to be an obtuse angle. The present optical film enables upward redirection of a large amount of incident light, has better heat insulation performance, and is easy to produce.
ADVANCED SEMICONDUCTOR MANUFACTURING INNOVATION CENTER , WUXI XISHAN DISTRICT (Chine)
HUNAN UNIVERSITY (Chine)
Inventeur(s)
Yin, Shaohui
Shu, Chengsong
Guo, Xipeng
Abrégé
Disclosed are a silica glass compression molding apparatus, and a method. The silica glass compression molding apparatus comprises: a mold, a stamping part, a heating part, a cooling part and an actuating part; the heating part comprises a heating chamber, an electromagnetic heating unit and an infrared heating unit. By means of forming a composite heating system with the electromagnetic heating unit and the infrared heating unit, the present apparatus can quickly raise the temperature in the heating chamber to over 1500°C within 10 minutes under the action of the composite heating system, and the heating temperature is more uniform. Compared with existing compression molding devices, this solves the molding condition of current glass compression molding devices not being able to heat to a high temperature of 1500°C, and heating efficiency is high.
sstesmax00smaxtmaxsmax0000-x') of the surface of the ultra-high-performance concrete flexural member. The present invention can provide reference for structural design and crack width calculation of ultra-high-performance concrete flexural members, and has high engineering application value.
GREATER BAY AREA INSTITUTE FOR INNOVATION, HUNAN UNIVERSITY (Chine)
Inventeur(s)
Shi, Junfeng
Zhang, Dingxiao
Li, Zenghui
Feng, Yuqing
Wang, Mingshui
Han, Hong
Abrégé
Provided is a polypeptide, which has: (I) an amino acid sequence set forth in any one of SEQ ID No. 1, SEQ ID No. 4, and SEQ ID No. 5; or (II), an amino acid sequence obtained by substitution, deletion, or addition of one or more amino acids based on the amino acid sequence described in (I) and having the same function as the amino acid sequence described in (I); or (III) an amino acid sequence having a similarity of 80% or more to the amino acid sequence described in (I) or (II); or (IV), a cell-penetrating polypeptide obtained by combining the polypeptide set forth in (I), (II), or (III) with a cell-penetrating peptide; or (V), a stapled peptide obtained by stapling the polypeptide set forth in (I), (II), or (IV). The polypeptide has significant inhibition effect on methylation and METTL3 expression. Further provided are a preparation method for the polypeptide and use of the polypeptide.
The present application discloses a vehicle-mounted heterogeneous network collaborative task unloading method, which comprises the following steps: calculating a communication delay when a vehicle requests a cache from a smart lamp post for a vehicle terminal; taking the maximum communication delay in all the caches as the communication delay between the vehicle and the smart lamp post network, and determining whether the communication delay is less than the time when the vehicle sends a request to a cloud center, if so, unloading a task to the smart lamp post network, otherwise, unloading a task to the cloud center; taking profit of a single smart lamp post itself as an index for the smart lamp post terminal, dividing the smart lamp post network into a plurality of coalitions, taking the profit maximization of the coalition as an optimization objective, optimizing a smart lamp post combination in the coalition.
H04L 67/12 - Protocoles spécialement adaptés aux environnements propriétaires ou de mise en réseau pour un usage spécial, p. ex. les réseaux médicaux, les réseaux de capteurs, les réseaux dans les véhicules ou les réseaux de mesure à distance
H04L 67/568 - Stockage temporaire des données à un stade intermédiaire, p. ex. par mise en antémémoire
57.
Method for assessing short-term voltage stability of power grid based on synchronous spatio-temporal information learning
A method for assessing short-term voltage stability of a power grid based on synchronous spatio-temporal information learning includes: performing a time-domain simulation for each transient fault of a power grid under each operating mode, and extracting temporal response trajectories of each monitoring bus and stability status information of the power grid to obtain a transient sample set; constructing a spatial adjacency matrix and a temporal adjacency matrix separately, and integrating the spatial adjacency matrix and the temporal adjacency matrix into a spatio-temporal adjacency matrix; performing synchronous spatio-temporal information learning by using a graph convolutional neural network algorithm, and performing training to obtain a short-term voltage stability assessment model driven by spatio-temporal information synchronization; and inputting a transient temporal responsive trajectory obtained into the short-term voltage stability assessment model, to obtain an assessment result of short-term voltage stability of the power grid.
000 of the hyperspectral image H, iteratively solving the hyperspectral image H, the iterative solving being completed by a deep convolutional neural network formed by cascaded spectral reconstruction modules, and each spectral reconstruction module being composed of a spectral segment attention module SAM and a spectral response curve correction module SCM. The present invention allows for fusing high-spatial-resolution RGB images obtained from various sensors so as to obtain a high-spatial-resolution hyperspectral image, and the method has the advantages of high imaging precision, high resolution, high fusion imaging speed and low cost.
Disclosed in the present invention is a workpiece and cutter pose calibration method based on robotic edge milling error tracking, comprising: 1, generating an edge milling trajectory point cloud; 2, obtaining an actual edge milling three-dimensional point cloud; 3, generating an updated edge milling three-dimensional point cloud; 4, calculating an edge milling allowance error and a pose inclination error; 5, solving a workpiece position error and a cutter position error; 6, solving a workpiece pose error and a cutter pose error; 7, updating a workpiece pose parameter and a cutter pose parameter; and 8, repeating steps 4 to 7 until a workpiece pose error vector and a cutter pose error vector are both not greater than corresponding preset thresholds. According to the present invention, error comparison, error modeling and error tracking are performed on the three-dimensional point cloud and the edge milling trajectory point cloud, even if system errors such as cutter axis deviation occurs to the cutter, pose errors of the workpiece and the cutter in edge milling processes can be accurately identified, and the calibration accuracy problem caused by the diversity and complexity of edge milling system errors can be well solved.
G05B 19/402 - Commande numérique [CN], c.-à-d. machines fonctionnant automatiquement, en particulier machines-outils, p. ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'un programme sous forme numérique caractérisée par des dispositions de commande pour le positionnement, p. ex. centrage d'un outil par rapport à un trou dans la pièce à usiner, moyens de détection additionnels pour corriger la position
60.
FATIGUE CRACK PROPAGATION RATE TEST METHOD AND DEVICE BASED ON DEEP LEARNING
The present invention provides a fatigue crack propagation rate test device and method based on deep learning, comprising a dual-scale Faster Region-based Convolutional Neural Network (Faster-RCNN) to accurately measure a crack length, so that the defect that a conventional flexibility method and a potential method are difficult to adapt to non-standard samples is overcome, and the present invention can be used for tracking a crack propagation length of a non-standard test member having any geometric size. The method comprises: firstly, collecting crack data sets of different scales by means of a camera; secondly, training the crack data sets by using the Faster-RCNN; then, constructing a global and local dual-scale fast convolutional neural network, and predicting crack lengths under whole times of load cycle; and finally, fusing fracture mechanics to obtain a relationship between the fatigue crack propagation rate and a crack tip stress intensity factor. According to the present invention, the crack length measurement and the propagation rate test of the non-standard test member having any geometric size can be achieved, the crack length in a fatigue crack propagation test process can be automatically measured in real time, and the crack propagation rate can be tested.
G01N 3/32 - Recherche des propriétés mécaniques des matériaux solides par application d'une contrainte mécanique en appliquant des efforts répétés ou pulsatoires
G01N 21/88 - Recherche de la présence de criques, de défauts ou de souillures
61.
METHOD FOR DETECTING RECOMBINATION BETWEEN SARS-COV-2 LINEAGES ON THE BASIS OF INFORMATION THEORY
Provided in the present invention is a method for detecting the recombination between SARS-CoV-2 lineages on the basis of information theory, comprising: constructing a consensus sequence from lineage sequences to be queried, and marking the base with the largest content at each site and the corresponding proportion; merging the queried lineage sequences with other reference lineage sequences, and then performing multiple sequence alignment to obtain an alignment sequence file; selecting whether to retain gap sites in the alignment sequence file or not, and extracting polymorphic sites; calculating the recombination contribution value provided by each reference lineage sequence for the queried lineage sequences at each polymorphic site; calculating the average recombination contribution value provided by each reference lineage sequence at the sites in the sliding window, and detecting recombination fragments from potential parents; splicing the contiguous and non-contiguous recombinant fragments on the potential parents into recombinant regions, and determining whether the recombinant regions are false positive or not; and with reference to the polymorphic sites and recombination contribution values in the reference lineage sequences, searching potential recombination breakpoints at the boundaries of recombinant regions.
Disclosed in the present invention are a high-resolution hyperspectral video imaging method and apparatus based on intelligent spatial-spectral fusion, and a medium. The high-resolution hyperspectral video imaging method based on intelligent spatial-spectral fusion in the present invention comprises: 1) respectively performing down-sampling on a low-resolution hyperspectral image frame and a high-resolution RGB image frame; and 2) inputting the hyperspectral image frame and the RGB image frame, which have been subjected to down-sampling, into a pre-trained fusion network, so as to obtain a high-resolution hyperspectral image frame. By means of the high-resolution hyperspectral video imaging method based on intelligent spatial-spectral fusion in the present invention, a high-resolution hyperspectral image frame can be obtained on the basis of a low-resolution hyperspectral image frame and a high-resolution RGB image frame and by means of a pre-trained fusion network, such that the existing problem of realizing a hyperspectral spatial resolution directly by means of an imaging sensor being extremely difficult and taking great costs can be effectively solved, thereby effectively reducing the costs for acquiring a hyperspectral image frame.
The present invention relates to the field of computer vision, in particular to a medical image semantic segmentation method and apparatus. The method comprises: S1, constructing a medical image semantic segmentation model; S2, coding an input image by means of a coder, and outputting coding results of different stages, the coding results output by the coder in the stages having different scales; S3, performing feature fusion on the coding result of each stage in a multiplication mode by means of a DMC module, and outputting a feature map of each stage; S4, processing the feature map of each stage by means of an LPA module to obtain an attention map of each stage; and S5, by means of a decoder, fusing the attention maps output by the LPA module in all the stages, so as to obtain a segmentation result having the same size as the input image. The present invention can improve the medical image segmentation precision.
G06V 10/26 - Segmentation de formes dans le champ d’imageDécoupage ou fusion d’éléments d’image visant à établir la région de motif, p. ex. techniques de regroupementDétection d’occlusion
G06V 10/80 - Fusion, c.-à-d. combinaison des données de diverses sources au niveau du capteur, du prétraitement, de l’extraction des caractéristiques ou de la classification
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
A determination method for steel bar stress of an axial tension member and a reinforcement method for an axial tension member. The determination method for steel bar stress of an axial tension member comprises the following steps: obtaining axial force borne by an axial tension member; obtaining axial tensile strength of ultra-high performance concrete; determining the cross-sectional area of a tension steel bar and the effective reinforcement ratio of the tension steel bar according to the axial force borne by the axial tension member and the axial tensile strength of the ultra-high performance concrete; and determining the stress of the tension steel bar according to the axial force borne by the axial tension member, the cross-sectional area of the tension steel bar, the effective reinforcement ratio of the tension steel bar, and the axial tensile strength of the ultra-high performance concrete. The tensile effect of the ultra-high performance concrete is fully considered, and wider applicability and higher reliability are achieved. Compared with traditional calculation methods, a prediction result is better matched with an actual measurement result, the influence of the ultra-high performance concrete on steel bar stress can be fully reflected, and the present application is easy to use in engineering practice, can provide reference for structural design of axial tension members of ultra-high performance concrete, and has important engineering application value.
Disclosed in the present invention is a curved surface skinning three-dimensional data merging method, comprising the following steps: 1, constructing actually-measured three-dimensional data of a workpiece and three-dimensional data of a workpiece design model; 2, calculating the normal vector, neighborhood radius, and sphere center position of each point in the three-dimensional data of the design model; 3, searching for the closest point of all points in the actually-measured three-dimensional data to the three-dimensional data of the design model; 4, calculating the static closest distance and the dynamic closest distance of the closest point of all the points in the actually-measured three-dimensional data to the three-dimensional data of the design model; 5, constructing a target function of a curved surface adaptability distance; 6, minimizing the target function, and calculating a differential motion spinor; and 7, updating the actually-measured three-dimensional data to realize data merging. According to the present invention, the influence of a curved surface neighborhood feature change on the distance calculation precision is considered, such that the precision distance measurement and merging method for curved surface adaptability is defined, and accurate merging results can be obtained regardless of a flat or strongly twisted complex curved surface.
G06F 111/20 - CAO de configuration, p. ex. conception par assemblage ou positionnement de modules sélectionnés à partir de bibliothèques de modules préconçus
66.
Method for merging surface skin three-dimensional data
A method for merging surface skin three-dimensional (3D) data includes the following steps: 1. constructing actually-measured 3D data of a workpiece and 3D data of a design model of the workpiece; 2. calculating a normal vector, a neighborhood radius, and a position of a sphere center of each point in the design model 3D data; 3. finding closest points to the design model 3D data for all points in the actually-measured 3D data; 4. calculating a static closest distance and a dynamic closest distance from each point in the actually-measured 3D data to the closest point in the design model 3D data; 5. constructing an objective function of a surface adaptive distance; 6. minimizing the objective function and calculating a differential motion screw; and 7. updating the actually-measured 3D data and achieving data merging.
Provided is a method for preparing valproamide represented by chemical structural formula I and sodium valproate represented by formula II. The method is characterized in that cyanoacetate and 1-chloropropane are subjected to composite catalytic dipropylation under the action of alkali to obtain 2-cyano-2-valproate represented by formula III; the 2-cyano-2-valproate is hydrolyzed and deacidified to obtain propylvaleronitrile represented by formula V; the propylvaleronitrile is subjected to alcoholysis under acid catalysis to obtain the valproamide represented by formula I and valproate represented by formula VI; and the valproate is hydrolyzed in a sodium hydroxide solution to obtain the sodium valproate represented by formula II.
C07C 253/30 - Préparation de nitriles d'acides carboxyliques par des réactions n'impliquant pas la formation de groupes cyano
C07C 255/18 - Nitriles d'acides carboxyliques ayant des groupes cyano liés à des atomes de carbone acycliques contenant des groupes cyano liés à des atomes de carbone de groupes carboxyle
C07C 51/09 - Préparation d'acides carboxyliques, de leurs sels, halogénures ou anhydrides à partir de lactones ou d'esters d'acides carboxyliques
C07C 51/41 - Préparation de sels d'acides carboxyliques par conversion de ces acides ou de leurs sels en sels ayant la même partie acide carboxylique
C07C 53/128 - Acides contenant au moins cinq atomes de carbone le groupe carboxyle étant lié à un atome de carbone lié lui-même à plusieurs autres atomes de carbone, p. ex. néo-acides
C07C 231/06 - Préparation d'amides d'acides carboxyliques à partir de nitriles par transformation de groupes cyano en groupes carboxamide
C07C 233/05 - Amides d'acides carboxyliques ayant des atomes de carbone de groupes carboxamide liés à des atomes d'hydrogène ou à des atomes de carbone acycliques ayant les atomes d'azote des groupes carboxamide liés à des atomes d'hydrogène ou à des atomes de carbone de radicaux hydrocarbonés non substitués avec des atomes de carbone de groupes carboxamide liés à des atomes de carbone d'un squelette carboné saturé acyclique ayant les atomes d'azote des groupes carboxamide liés à des atomes d'hydrogène ou à des atomes de carbone acycliques
C07C 67/22 - Préparation d'esters d'acides carboxyliques par conversion d'un groupe contenant de l'azote dans un groupe ester à partir de nitriles
C07C 69/22 - Esters d'acides acycliques monocarboxyliques saturés dont le groupe carboxyle est lié à un atome de carbone acyclique ou à l'hydrogène avec au moins trois atomes de carbone dans la partie acide
B01J 31/02 - Catalyseurs contenant des hydrures, des complexes de coordination ou des composés organiques contenant des composés organiques ou des hydrures métalliques
68.
COMPOSITE CAPPING BEAM WITH STEEL BEAM AND ULTRA-HIGH-PERFORMANCE CONCRETE PLATE AND CONSTRUCTION METHOD THEREFOR
Disclosed is a composite capping beam with a steel beam and an ultra-high-performance concrete plate. The composite capping beam includes a steel beam and an ultra-high-performance concrete (UHPC) plate, where the steel beam includes a bottom plate and web plates, the web plates are arranged at two sides of the bottom plate in a longitudinal bridge direction, bottoms of the web plates extend downwards to be provided with lower extension sections, and the UHPC plate is clamped in a cavity defined by the lower extension sections and the bottom plate. The present disclosure further provides a construction method for the composite capping beam with a steel beam and an ultra-high-performance concrete plate. The composite capping beam with a steel beam and an ultra-high-performance concrete plate according to the present disclosure is small in hoisting weight and economical.
Disclosed are a composite box girder structure and a construction method therefor. The composite box girder structure includes a box enclosure and an inner core, where the inner core includes a thin-walled steel shell, shear connectors, and diaphragms, and the thin-walled steel shell is attached and fixed to an interior of the box enclosure by means of the shear connectors. In the present disclosure, the inner core and the box enclosure of the composite box girder structure jointly load force, such that effectiveness of the structure in resisting a use load can be improved. The inner core is directly used as an internal template of UHPC, such that rapid bridge construction can be achieved. Further, not only defects of conventional pouring can be overcome, but problems of excessive lateral local stress, overall stability, cross-section distortion and shear bearing capacity of web plates can be solved.
Disclosed are a method and a device for manufacturing liquid hydrogen by offshore off-grid superconducting wind turbine. The method comprises the following steps: electrolyzing seawater to obtain hydrogen based on electric energy output by an offshore off-grid superconducting wind turbine generator, liquefying the hydrogen into prepared liquid hydrogen, and outputting a part of the liquid hydrogen as the refrigerant of the offshore off-grid superconducting wind turbine generator. The device comprises a liquid preparation platform, an offshore off-grid superconducting wind turbine generator, a seawater electrolysis unit, a hydrogen liquefaction unit and a liquid hydrogen storage unit, wherein the power ends of the seawater electrolysis unit and the hydrogen liquefaction unit are connected with the output end of the offshore off-grid superconducting wind turbine generator, and the hydrogen liquefaction unit is connected with the coolant input end of the offshore off-grid superconducting wind turbine generator.
F25J 1/00 - Procédés ou appareils de liquéfaction ou de solidification des gaz ou des mélanges gazeux
F25J 1/02 - Procédés ou appareils de liquéfaction ou de solidification des gaz ou des mélanges gazeux nécessitant l'emploi d'une réfrigération, p. ex. de l'hélium, de l'hydrogène
H02J 9/04 - Circuits pour alimentation de puissance de secours ou de réserve, p. ex. pour éclairage de secours dans lesquels le système de distribution est déconnecté de la source normale et connecté à une source de réserve
71.
AUTOMATIC DATA AUGMENTATION-BASED MEDICAL IMAGE SEGMENTATION METHOD
Disclosed is an automatic data augmentation-based medical image segmentation method, comprising: S1, randomly dividing an original training set into a training set and a verification set according to a set proportion; S2, building a data augmentation search space to obtain a sampling sub-strategy; S3, training the sampling sub-strategy on the training set, in each iteration, updating a network weight by means of stochastic gradient descent, using the updated network weight to calculate verification set loss, updating a strategy parameter by means of proximal iteration, and when the verification set loss is the minimum, obtaining data augmentation sub-strategies; and S4, in a re-training stage, applying the data augmentation sub-strategy to the original training set for data augmentation, performing training on the augmented training set to obtain an optimal network weight, and using the network weight for reasoning to obtain a target area. The algorithm used in the present invention achieves advanced performance under a basic network architecture, and the efficiency of the search strategy of the algorithm is at least improved by one order of magnitude.
Disclosed a method for improving microwave treatment uniformity by using electromagnetic metamaterials, comprising: firstly, selecting a variety of electromagnetic metamaterials which generate outgoing waves having phase differences after the same electromagnetic waves are incident thereon; then, splicing the different electromagnetic metamaterials; next, placing a combined electromagnetic metamaterial in a microwave cavity and moving the combined electromagnetic metamaterial, recording a change rule of electromagnetic power density distribution in the microwave cavity, and selecting a position point of the combined electromagnetic metamaterial having good electromagnetic power density space distribution complementarity; and finally, designing the movement velocity and residence time of the combined electromagnetic metamaterial according to the intensity distribution of the electromagnetic power density in the cavity corresponding to the selected position point. Therefore, the average electromagnetic power space distribution uniformity in the cavity is significantly improved, and the average microwave power absorbed by all parts of the treated material is roughly equal, thereby achieving the purpose of improving the microwave treatment uniformity.
A61L 2/12 - Procédés ou appareils de désinfection ou de stérilisation de matériaux ou d'objets autres que les denrées alimentaires ou les lentilles de contactAccessoires à cet effet utilisant des phénomènes physiques des radiations des micro-ondes
Disclosed in the present invention is a method for improving the uniformity of electromagnetic fields inside a static microwave resonant cavity. The overlap between a nodal point in one mode and an antinodal point in another mode inside a microwave resonant cavity is realized by using two different types of anisotropic media, thereby improving the distribution uniformity of electromagnetic fields inside a static resonant cavity. The present invention can reduce the complexity of cavity mechanisms of a microwave oven having a turnable and a flatbed microwave oven having an electromagnetic stirrer, and can improve the static microwave treatment uniformity, thereby promoting the application of high-temperature and high-power microwave treatment in the fields such as microwave sintering, microwave smelting and the microwave chemical industry.
−2; adding a hydrogen source such that the solution has a proton concentration of 0.1 M to 28 M; turning on an electrochemical treatment unit, and conducting constant-current or constant-potential electrolysis such that the acetylene gas is continuously and efficiently converted into ethylene gas after the electrolysis is stably conducted. The method has simple operations, low energy consumption, and quick response.
A combined box girder structure (1) and a construction method therefor. The combined box girder structure (1) comprises a box-shaped outer housing (12) and an inner core (11); the inner core (11) comprises a thin-wall steel shell (21), shearing force connecting members (22), and transverse partition plates (23); and the thin-wall steel shell (21) is attached and fixed to the interior of the box-shaped outer housing (12) by means of the shearing force connecting members (22). The inner core (11) and the box-shaped outer housing (12) of the combined box girder structure (1) are jointly stressed, the thickness of a plate member can be further reduced, the self weight of the structure is reduced, the effectiveness of the structure for resisting a service load is improved, and the spanning capacity of a box girder bridge is increased; moreover, the inner core (11) is directly used as an internal formwork of the box-shaped outer housing (12), rapid construction of bridge construction is achieved, the defects of conventional pouring are avoided, the problems of overlarge transverse local stress, overall stability, section distortion, web shear bearing capacity, and the like can be solved, and good durability and wide application prospects are achieved.
Disclosed is a steel beam-ultra- high performance concrete (UHPC) slab combined bent cap, comprising a steel beam and a UHPC slab. The steel beam comprises a bottom plate and a web plate. The web plate is disposed towards two sides of a longitudinal bridge of the bottom plate, and the bottom of the web plate extends downwards and has a lower extension section. The UHPC slab is clamped in a cavity defined by the lower extension section and the bottom plate. The present invention also provides a construction method for the described steel beam-ultra-high performance concrete slab combined bent cap. The steel beam-ultra-high performance concrete slab combined bent cap of the present invention has the advantages of a light hoisting weight, excellent economical efficiency, beam height being easily controlled, bearing capacity being guaranteed, rigidity meeting requirements, assembly and construction being rapid and reliable, etc.
Disclosed are a composite deck structure for a bridge, and a bridge structure and a construction method thereof. The composite deck structure includes a top plate (1), longitudinal ribs (2), and transverse ribs (3), where the longitudinal ribs (2) are fixedly connected to the transverse ribs (3), and are connected to the diaphragms (4) by means of the transverse ribs (3), and the transverse ribs (3) are not provided with cutouts for accommodating the longitudinal ribs (2). According to the composite deck structure, no cutout is provided on the diaphragms (4), and stress generated by the cutouts is reduced; hot-rolled section steel is used for longitudinal ribs (2) and transverse ribs (3) instead of welded steel plates, such that welding seams are reduced and fatigue resistance of the composite deck structure is improved.
A main beam unit having an ultra-high performance concrete (UHPC) shuttering structure, the main beam unit comprising a main beam body (100). At least one longitudinal bridge end portion of the main beam body (100) is provided with a UHPC shuttering structure, and the UHPC shuttering structure comprises a vertical plate (8) located at an end portion of the main beam body (100). A longitudinal bridge epitaxial plate (3) is extendably arranged on a side edge and bottom edge of the vertical plate (8) in a direction away from the main beam body (100). Further provided are a main beam structure and a construction method for the main beam structure. An end portion of the main beam body is provided with a UHPC shuttering structure, which provides a ready-made formwork for the construction of a cast-in-place joints at the top of a pier, so that a formwork for the construction of joints does not need to be erected at a construction site, and UHPC can be cast directly at the joints, which is convenient for construction and is beneficial for the rapid construction of a bridge structure.
A method for electricity-related security awareness of distributed power supply systems considering spatio-temporal distribution of rainstorms, including: establishing a multi-dimensional parallel parasitic capacitance calculation model of the distributed photovoltaic-energy storage power supply system considering accumulated water depth and micro-terrain environment; performing multi-source spatio-temporal hierarchical correlation analysis between rainstorm spatio-temporal distribution characteristics (including rainfall peak position, cloud movement, rainfall intensity and rainfall duration) and an operating state of the distributed power supply system; constructing a leakage current probability prediction model considering unevenness and randomness of the rainstorm spatio-temporal distribution; and establishing an electricity-related security awareness model based on deep meta-learning.
G01R 31/52 - Test pour déceler la présence de courts-circuits, de fuites de courant ou de défauts à la terre
G01R 27/26 - Mesure de l'inductance ou de la capacitanceMesure du facteur de qualité, p. ex. en utilisant la méthode par résonanceMesure de facteur de pertesMesure des constantes diélectriques
H02J 3/38 - Dispositions pour l’alimentation en parallèle d’un seul réseau, par plusieurs générateurs, convertisseurs ou transformateurs
G06Q 10/04 - Prévision ou optimisation spécialement adaptées à des fins administratives ou de gestion, p. ex. programmation linéaire ou "problème d’optimisation des stocks"
H02S 50/10 - Tests de dispositifs PV, p. ex. de modules PV ou de cellules PV individuelles
80.
ANTI-SEISMIC COMPONENT WITH DUAL FUNCTIONS OF ENERGY CONSUMPTION AND LOAD BEARING, AND BUFFER
CHINA CONSTRUCTION FIFTH ENGINEERING BUREAU CO., LTD. (Chine)
Inventeur(s)
Chen, Zhengqing
Hua, Xugang
Yang, Ou
Zhou, Shuai
Li, Shuisheng
Abrégé
Disclosed in the present invention are an anti-seismic component with dual functions of energy consumption and load bearing, and a buffer. The anti-seismic component includes a core shaft, wherein the core shaft is connected to a first support member and a second support member; an overhanging section of the first support member and an overhanging section of the second support member are respectively arranged on two sides of the core shaft; and an included angle between the first support member and the second support member is less than 180°. The component can be directly used as an inclined brace component of a building frame structure, and uses a circular tube torsional energy consumption mode to replace an axial tension and compression energy consumption mode of a traditional BRB component, thereby eliminating the problem of compressive buckling of a support component and simplifying the structure of a steel structure energy-consumption inclined brace; and there is no need for an external restrain component, thereby reducing steel consumption, avoiding filling with mortar, effectively shortening an installation period, improving the reliability of the component, and greatly reducing the manufacturing cost of the component. Therefore, the component has wide application prospects.
E04B 1/98 - Protection contre d'autres agents indésirables ou dangers contre les vibrations ou les chocsProtection contre d'autres agents indésirables ou dangers contre les destructions mécaniques, p. ex. par les raids aériens
E04H 9/02 - Bâtiments, groupes de bâtiments ou abris conçus pour résister à des situations extérieures anormales, p. ex. à des bombardements, à des séismes ou à des climats extrêmes, ou pour se protéger de ces situations résistant aux séismes ou à l'effondrement du sol
Disclosed is a conduction-cooled magnetic flux pump, comprising a refrigerator, a cooling capacity conducting part, a cooling capacity conducting plate, a high-temperature superconducting coil, a high-temperature superconducting tape, an L-shaped machined part, a dynamic sealing device, a motor, a rotating shaft, a bow-shaped epoxy resin machined part, a permanent magnet rotor disk, and a permanent magnet. The cooling capacity conducting plate is connected to the refrigerator, the high-temperature superconducting coil is installed on the cooling capacity conducting plate, the high-temperature superconducting tape is fixed to the cooling capacity conducting plate by the L-shaped machined part. An output end of the motor is connected to one end of the rotating shaft through the dynamic sealing device, the other end of the rotating shaft is rotationally connected to the bow-shaped epoxy resin machined part. The permanent magnet rotor disk is installed on the rotating shaft and rotates along with the rotating shaft.
H02K 1/27 - Noyaux rotoriques à aimants permanents
H02K 3/02 - Enroulements caractérisés par le matériau constituant le conducteur
H02K 7/00 - Dispositions pour la mise en œuvre d'énergie mécanique associées structurellement aux machines dynamo-électriques, p. ex. association structurelle avec des moteurs mécaniques d'entraînement ou des machines dynamo-électriques auxiliaires
H02K 9/19 - Dispositions de refroidissement ou de ventilation pour machines avec enveloppe fermée et circuit fermé de refroidissement utilisant un agent de refroidissement liquide, p. ex. de l'huile
H02K 55/00 - Machines dynamo-électriques comportant des enroulements qui fonctionnent à des températures cryogéniques
82.
Method for flexible coordinated operation of urban distribution network and watershed network
A method for flexible coordinated operation of an urban distribution network and a watershed network, including: constructing a watershed network dynamic operation model; constructing a river water storage model a lake water storage model based on the watershed network dynamic operation model; constructing a distribution network linear alternating-current (AC) power flow model and an operating power-flow rate operation model of the pump stations to obtain a coordinated operation model of the urban distribution network and the watershed network; constructing a watershed-electricity composite sensitivity matrix; quantifying a time-varying adjustable power domain of each pump station through a pump station flexibility assessment method based on the watershed-electricity composite sensitivity matrix; constructing a power flow optimization model of the urban distribution network and a hydraulic energy flow optimization model of the watershed network; and performing electricity-water energy flow interactive optimization involving a flexible resource of the pump stations.
H02J 13/00 - Circuits pour pourvoir à l'indication à distance des conditions d'un réseau, p. ex. un enregistrement instantané des conditions d'ouverture ou de fermeture de chaque sectionneur du réseauCircuits pour pourvoir à la commande à distance des moyens de commutation dans un réseau de distribution d'énergie, p. ex. mise en ou hors circuit de consommateurs de courant par l'utilisation de signaux d'impulsion codés transmis par le réseau
G05B 19/04 - Commande à programme autre que la commande numérique, c.-à-d. dans des automatismes à séquence ou dans des automates à logique
G05B 19/042 - Commande à programme autre que la commande numérique, c.-à-d. dans des automatismes à séquence ou dans des automates à logique utilisant des processeurs numériques
H02J 3/38 - Dispositions pour l’alimentation en parallèle d’un seul réseau, par plusieurs générateurs, convertisseurs ou transformateurs
83.
SELF-ADAPTIVE HEAVY CONCRETE WALL DISMANTLING DEVICE CAPABLE OF ACHIEVING STABLE DRY GRINDING
Provided is a self-adaptive heavy concrete wall dismantling device capable of achieving stable dry grinding, comprising a crawler belt moving device (1), a numerical control device (2), a lifting platform device (3), a milling and grinding device (4), a roller follow-up device (5), a gas recovery device (6) and a material conveying system (7); the crawler belt moving device (1) is used for ensuring movement of the self-adaptive heavy concrete wall dismantling device; the numerical control detection device (2) is used for a worker to achieve an interactive operation of the self-adaptive heavy concrete wall dismantling device; the lifting platform device (3) is used for lifting and lowering a hydraulic lifting platform, so as to drive the milling and grinding device to ascend and descend; the milling and grinding device (4) is used for milling and grinding a heavy concrete wall. A dry grinding new process is used, a milling cutter head and a grinding cutter head are cooled according to the principle that graphite and carbon dioxide undergo a heat absorption reaction at high temperature, so that green cutting is achieved, use of a cooling lubricating liquid is avoided, and pollution to the environment is reduced.
A nuclear decommissioning small pipeline in-pipe cutter having a vibration-damping apparatus, the cutter comprising: a flexible shaft, a transmission shaft (1), a supporting vibration-damping apparatus (2), a cutting tool (3), a bearing (4), mounting bosses (5), a housing (6) and a gripping air bag (7). The mounting bosses (5) are symmetrically disposed at the outside of the housing (6), the gripping air bag (7) used for supporting the apparatus is disposed at the outside of the housing (6), the gripping air bag (7) is connected to hydraulic rods (2.1) of the supporting vibration-damping apparatus (2), and the supporting vibration-damping apparatus (2) receives a pulling force from the gripping air bag (7) above and receives pressure from the mounting boss (5) below, thus positioning the supporting vibration-damping apparatus (2).
Disclosed in the present invention is a hyperspectral traditional Chinese medicine identification method based on an adaptive random block convolutional kernel network. The method comprises: on the basis of an optimal clustering framework, obtaining optimal waveband subsets of hyperspectral traditional Chinese medicine images, and then effectively selecting optimal feature wavebands from the optimal waveband subsets by using a cluster sorting method; next, taking, as convolutional kernels and by using a random projection method, random blocks that are extracted from the hyperspectral traditional Chinese medicine images; then modifying the convolutional kernels by using an adaptive pixel method; performing feature extraction on the basis of feature waveband images of a traditional Chinese medicine; then extracting features of the traditional Chinese medicine by using a hierarchical network; constructing a hyperspectral traditional Chinese medicine training set and a hyperspectral traditional Chinese medicine test set in view of hyperspectral optimal-waveband image data of the traditional Chinese medicine; and finally performing training by means of the training set and by using an SVM, so as to obtain a classification prediction model, and then performing prediction on the traditional Chinese medicine test set on the basis of the model. Therefore, the identification and classification precision of a traditional Chinese medicine is greatly improved, and the traditional Chinese medicine identification problem caused by the diversified types and complex components of traditional Chinese medicines is solved. The method is applicable to rapid nondestructive identification of various types of traditional Chinese medicines.
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p. ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersectionsAnalyse de connectivité, p. ex. de composantes connectées
G06V 10/762 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant le regroupement, p. ex. de visages similaires sur les réseaux sociaux
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
Disclosed are a high-temperature superconducting suspension type wireless power transmission device and an assembly method thereof. The device comprises an alternating current power supply, wherein the alternating current power supply is electrically connected with a transmitting coil, and the transmitting coil is made of high-temperature superconducting materials; a suspended matter is mounted above the transmitting coil, the suspended matter is electrically connected with a receiving coil corresponding to the transmitting coil, and a plurality of permanent magnets fixedly connected with the suspended matter are uniformly mounted along the periphery of the receiving coil; and the transmitting coil is located in a low-temperature container to maintain a superconducting state. In combination with the superconducting magnetic suspension technology and the superconducting wireless charging technology, power is stored without the need of a complex energy storage device.
H02J 50/00 - Circuits ou systèmes pour l'alimentation ou la distribution sans fil d'énergie électrique
H01F 6/06 - Bobines, p. ex. dispositions pour l'enroulement, l'isolation, les enveloppes ou les bornes des bobines
H02J 50/12 - Circuits ou systèmes pour l'alimentation ou la distribution sans fil d'énergie électrique utilisant un couplage inductif du type couplage à résonance
87.
Non-destructive testing system and device for photovoltaic cells
A non-destructive testing system for photovoltaic cells includes a non-contact electromagnetic induction device, a short-wave infrared (SWIR) camera or/and a visible-light camera, a thermal imaging device, and an image processing device. The non-contact electromagnetic induction device is configured for generating an external electric field acting on the photovoltaic cell without being in contact with the photovoltaic cell. A direction of the external electric field is parallel to that of an internal electric field of the photovoltaic cell. The SWIR camera or/and the visible-light camera is/are configured for obtaining an optical radiation distribution map within the photovoltaic cell. The thermal imaging device is configured for obtaining a thermal radiation distribution map in the photovoltaic cell. The image processing device is configured for storing and processing the optical and thermal radiation distribution maps. Non-destructive testing equipment including the above system is further provided.
H02S 50/15 - Tests de dispositifs PV, p. ex. de modules PV ou de cellules PV individuelles utilisant des moyens optiques, e.g. utilisant l'électroluminescence
G01J 5/00 - Pyrométrie des radiations, p. ex. thermométrie infrarouge ou optique
G01J 5/48 - ThermographieTechniques utilisant des moyens entièrement visuels
88.
OMNI-DIRECTIONAL OBSERVATION APPARATUS FOR INTERIOR OF HOT CELL
The present invention relates to the technical field of nuclear fuel post-treatment and hot cell observation in nuclear industry, and specifically relates to an omni-directional observation apparatus for an interior of a hot cell, comprising a radiation-resistant flexible mechanism, a bellows replacement mechanism, a lead box door opening and closing mechanism, and a lead box, wherein a camera is arranged at the front end of the radiation-resistant flexible mechanism, and a tail moving mechanism connected to a wheel sliding groove in the bottom surface in the lead box is arranged at the tail of the radiation-resistant flexible mechanism; the stretching and retracting of air cylinders is controlled by means of an angle control mechanism of the radiation-resistant flexible mechanism so as to control the camera to rotate; the front end surface of the lead box is provided with the lead box door opening and closing mechanism capable of being opened and closed; the outer side surface of the front end of the lead box is connected to the bellows replacement mechanism; and a plurality of bellows replacement pieces vertically arranged and used for protecting the camera from being irradiated are arranged in the bellows replacement mechanism. According to the present invention, the camera can omni-directionally observe the interior of the hot cell to obtain the high-quality images of all regions of the hot cell, and the lead box door opening and closing mechanism can protect the camera from being polluted by the radiation environment in the hot cell, thereby improving the service life of the camera.
F16M 11/38 - Infrastructure avec ou sans roues à hauteur ou longueur modifiables des pieds, avec utilisation possible pour le transport également par pliage
A negative-pressure suction system used for residues at the bottom of a container and having a movable suction head, the negative-pressure suction system at least comprising a dust suction and collection device (1), a dust suction pipeline (2), a movement device (3) and a moving suction head device (5), wherein first pulleys (509) are provided below a housing of the moving suction head device (5); second pulleys (510) are provided above an upper platform (551) of an in-parallel mechanism (55), and upper end universal joints (552) are provided below the upper platform (551); the upper end universal joints (552) are rotationally connected to lower end universal joints (554) by means of connecting rods (553), and the lower end universal joints (554) are arranged above a lower platform (555); a suction head (517) is mounted below the lower platform (555), and the suction head (517) is connected to the dust suction pipeline (2); one end of a steel wire rope (512) is connected to a boss, and the other end of the steel wire rope (512) passes through the first pulleys (509), the second pulleys (510) and the housing in sequence, and is then connected to the movement device; and the steel wire rope (512) is stretched or retracted by means of the movement device, so that the in-parallel mechanism (55) drives the suction head (517) to move in a horizontal plane. The negative-pressure suction system achieves a three-degrees-of-freedom motion of the moving suction head device, thereby solving the problem of it not being possible for a suction range to cover the whole area of the bottom of a container.
China Construction 5th Engineering Bureau Co., Ltd. (Chine)
Hunan University (Chine)
Inventeur(s)
Zhou, Shuai
Hua, Xugang
Chen, Zhengqing
Chen, Wen
Fang, Cong
Huang, Zhiwen
Abrégé
A vortex vibration wind tunnel test model system for a long-span bridge and a test method thereof is disclosed. In the test model system, the base is provided with a plurality of adjustment members, each of the adjustment members is provided with a cantilever rod, and all of the cantilever rods are cantilevered in the same direction; a beam body model is provided on a cantilevered end of all of the cantilever rods; a displacement measuring member is provided below the cantilever rod, and the horizontal distance between the displacement measuring member and the beam body model exceeds 2 times a width value of the beam body model, the displacement measuring member being away from the surface of the beam body model and the position of directly below the beam body model. Therefore, the state response data of the position of the cantilever rod can be collected in real time. By calculating the state response data of the cantilever end of the cantilever beam, the state response data of the beam body model is obtained, which effectively reduces the damping of the model system and improves the accuracy of the model technical parameters. The test method is simple and reliable, which improves the real reliability of the wind tunnel test data, and can effectively meet the requirements of the high-order vortex vibration wind tunnel test for the long-span bridge.
The disclosure relates to a fault-tolerant method and apparatus for a network device system, a computer device, and a storage medium. The method includes: when the link state changes, the source switch acquires and transmits link state change information to the master controller, randomly selects a switch from the first switch unit or the second switch unit, and transmits a copy of the link state change information to the selected switch; such that the master controller forwards the link state change information to the second switch unit, the auxiliary controller receives the copy of the link state change information transmitted by the switch selected by the source switch and transmits it to the second switch unit; after the second switch unit updates the local routing table according to the acquired information, the master controller transmits confirmation information to the source switch.
H04L 41/0663 - Gestion des fautes, des événements, des alarmes ou des notifications en utilisant la reprise sur incident de réseau en réalisant des actions prédéfinies par la planification du basculement, p. ex. en passant à des éléments de réseau de secours
H04L 45/02 - Mise à jour ou découverte de topologie
92.
Method for detecting thicknesses of coating layers of nuclear fuel particles
A method for detecting the thicknesses of coating layers of nuclear fuel particles, comprising: collecting a surface image of a sample to be tested under a first amplification factor (S310); determining a testable particle in the surface image (S320); collecting a cross section image of the testable particle under a second amplification factor, wherein the second amplification factor is greater than the first amplification factor (S330); and determining the center of the testable particle in the cross section image and profile lines of all coating layers, and determining the thickness of each coating layer according to the center and the profile lines of each coating layer (S340). Also provided is a device for detecting the thicknesses of coating layers of the nuclear fuel particles.
G21C 17/06 - Dispositifs ou dispositions pour la surveillance ou le test du combustible ou des éléments combustibles en dehors du cœur du réacteur, p. ex. pour la consommation ou pour la contamination
G01B 11/06 - Dispositions pour la mesure caractérisées par l'utilisation de techniques optiques pour mesurer la longueur, la largeur ou l'épaisseur pour mesurer l'épaisseur
A large-load long-distance radiation-resistant high-precision snakelike arm, comprising a driving base body (1) and a snakelike arm body (2). One end of the snakelike arm body is connected to the driving base body; the snakelike arm body is composed of parallel-connection parallel joints being connected in series; each parallel-connection parallel joint comprises a plurality of identical movable link mechanisms (24) connected in parallel; each parallel-connection parallel joint further comprises platforms respectively connected to the two ends of each of the plurality of identical movable link mechanisms connected in parallel; when the platform at one end of the two ends of each of the plurality of identical movable link mechanisms connected in parallel is fixed, the platform at the other end conducts spherical translational motion relative to the platform, and every two adjacent platforms are always kept parallel; each movable link mechanism at least comprises a link (242); a plurality of driving units are mounted in the driving base body, each driving unit is connected to the corresponding link in the parallel-connection parallel joints by means of a steel wire rope, each steel wire rope is connected to the corresponding link, and motors distributed in a centralized mode are used for driving the steel wire ropes to drive the parallel-connection parallel joints to achieve the motion of the snakelike arm body. The large-load long-distance radiation-resistant high-precision snakelike arm can reduce the complexity of joint motion control and improve the motion precision of a snakelike arm robot. A working method of the large-load long-distance radiation-resistant high-precision snakelike arm is further comprised.
A method for predicting a multiaxial fatigue life. The method includes: obtaining a first temperature rise value of a to-be-tested material in a first cycle; determining first inherent dissipation energy of the to-be-tested material in the first cycle according to the first temperature rise value and a time constant; and determining the multiaxial fatigue life of the to-be-tested material according to a first proportional value, the first inherent dissipated energy, axial fatigue test parameters and torsional fatigue test parameters; the first proportional value is a ratio of an axial strain amplitude to a torsional strain amplitude of a multiaxial fatigue test, the axial fatigue test parameters are configured to represent an axial fatigue resistance of the to-be-tested material, and the torsional fatigue test parameters are configured to represent a torsional fatigue resistance of the to-be-tested material.
G01N 3/32 - Recherche des propriétés mécaniques des matériaux solides par application d'une contrainte mécanique en appliquant des efforts répétés ou pulsatoires
95.
METHOD FOR IMPLEMENTING HYPERSPECTRAL MEDICAL COMPONENT ANALYSIS BY USING GRAPH CONVOLUTIONAL NEURAL NETWORK
Disclosed in the present invention is a method for implementing hyperspectral medical component analysis by using a graph convolutional neural network. On the one hand, medical hyperspectral image data is processed into graph data, such that the number of pixels is greatly reduced, and the amount of data is effectively reduced; on the other hand, a graph convolutional neural network model is used to extract the feature information of a drug, such that the spatial relationship between a visual feature in a drug hyperspectral image and a drug component is effectively learned, the representation capability of a drug component classification feature is improved, the component and attribute precision of a drug under test is improved, and the non-destructive and rapid detection and analysis of drug component and quality can be realized.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
96.
LIGHTWEIGHT METHOD FOR BACK FRAME OF PHASED ARRAY RADAR ANTENNA
The present application discloses a lightweight method for a back frame of a phased array radar antenna, the method comprising: step 1, on the basis of actual measurement parameters of a back frame of a phased array radar antenna, and by using an interval-probability uncertainty measurement model, establishing a back frame lightweight reliability model; step 2, on the basis of an equivalent model principle, and according to a displacement function of the back frame of the antenna in the back frame lightweight reliability model, calculating reliability and displacement constraint conditions when the maximum value of the displacement of the back frame of the antenna does not exceed a displacement threshold; and step 3, by using an iterative operation, calculating a maximum probability failure point of a displacement constraint condition after a Lagrange change under a preset condition, and calculating an optimal solution of the back frame lightweight reliability model according to the maximum probability failure point, so as to determine a lightweight reliability parameter of the phased array radar antenna. In the technical solution in the present application, the problem that a precise probability model of a back frame of a phased array radar antenna is difficult to obtain is solved, and the amount of calculation in a reliability optimization process is greatly reduced.
G06F 119/02 - Analyse de fiabilité ou optimisation de fiabilitéAnalyse de défaillance, p. ex. performance dans le pire scénario, analyse du mode de défaillance et de ses effets [FMEA]
97.
Double-layer sealed box having activated carbon circulation sealing device
The invention discloses a double-layer sealed box having an activated carbon circulation sealing device, comprising an outer layer box, an inner layer box, and an activated carbon input device. The inner layer box is wrapped in the outer layer box, a first activated carbon transport chamber is formed at the top of the inner layer box, between the outer layer box and the inner layer box, and a second activated carbon transport chamber is formed at least one side of the inner layer box, between the outer layer box and the inner layer box.
B01D 53/83 - Procédés en phase solide avec des réactifs en mouvement
B01D 53/38 - Élimination des composants de structure non définie
B01D 53/46 - Élimination des composants de structure définie
B01J 20/20 - Compositions absorbantes ou adsorbantes solides ou compositions facilitant la filtrationAbsorbants ou adsorbants pour la chromatographieProcédés pour leur préparation, régénération ou réactivation contenant une substance inorganique contenant du carbone libreCompositions absorbantes ou adsorbantes solides ou compositions facilitant la filtrationAbsorbants ou adsorbants pour la chromatographieProcédés pour leur préparation, régénération ou réactivation contenant une substance inorganique contenant du carbone obtenu par des procédés de carbonisation
B01J 20/28 - Compositions absorbantes ou adsorbantes solides ou compositions facilitant la filtrationAbsorbants ou adsorbants pour la chromatographieProcédés pour leur préparation, régénération ou réactivation caractérisées par leur forme ou leurs propriétés physiques
B65D 90/08 - Liaisons des éléments de paroisJoints d'étanchéité pour ces éléments
98.
NEURAL NETWORK-BASED METHOD FOR SOLVING MULTI-SUB-BAND BOLTZMANN TRANSPORT EQUATION
The present invention belongs to the field of electronic design automation, and disclosed is a neural network-based method for solving a multi-sub-band Boltzmann transport equation. In the present invention, a Boltzmann-Schrödinger-Poisson system is firstly established with regard to a nanoscale transistor electron transport problem; meshing is performed in time and position space and wave vector space on a simulation device; a training dataset is generated by self-consistently solving the multi-sub-band Boltzmann transport equation by means of a deterministic method; the Boltzmann transport equation is rewritten into a neural partial differential equation to embed a neural network therein, and form a neural Boltzmann equation; the difference between an equilibrium electron distribution function and a current electron distribution function is used as an input of the neural network, and same is inputted as a part to be approximated of a scattering term on a right end of the neural Boltzmann equation; and the neural network is trained on the basis of a time series modeling policy. The trained neural network can enable a solution of the neural Boltzmann transport equation to be used as an accurate approximate solution of electron distribution, greatly improving computational efficiency while guaranteeing accuracy.
The disclosure discloses a method for detecting an intrusion in parallel based on an unbalanced data Deep Belief Network, which reads an unbalanced data set DS; under-samples the unbalanced data set using the improved NCR algorithm to reduce the ratio of the majority type samples and make the data distribution of the data set balanced; the improved differential evolution algorithm is used on the distributed memory computing platform Spark to optimize the parameters of the deep belief network model to obtain the optimal model parameters; extract the feature of data of the data set, and then classify the intrusion detection by the weighted nuclear extreme learning machine, and finally train multiple weighted nuclear extreme learning machines of different structures in parallel by multithreading as the base classifier, and establish a multi-classifier intrusion detection model based on adaptive weighted voting for detecting the intrusion in parallel.
G06F 21/56 - Détection ou gestion de programmes malveillants, p. ex. dispositions anti-virus
G06F 18/23213 - Techniques non hiérarchiques en utilisant les statistiques ou l'optimisation des fonctions, p. ex. modélisation des fonctions de densité de probabilité avec un nombre fixe de partitions, p. ex. K-moyennes
0 into a pre-trained deep convolutional neural network guided by an imaging model, and conducting iteration computation to obtain a hyperspectral image X. The present invention can effectively achieve reconstruction of the RGB image to the high-resolution hyperspectral image and has the advantages of high reconstruction precision, high computational efficiency, little memory consumption and strong generalization ability.
G06T 3/4053 - Changement d'échelle d’images complètes ou de parties d’image, p. ex. agrandissement ou rétrécissement basé sur la super-résolution, c.-à-d. où la résolution de l’image obtenue est plus élevée que la résolution du capteur
G06T 3/4046 - Changement d'échelle d’images complètes ou de parties d’image, p. ex. agrandissement ou rétrécissement utilisant des réseaux neuronaux