A cycloidal gear machining method based on a worm grinding wheel gear grinding machine. A cycloidal gear is machined in a worm grinding wheel grinding manner, achieving continuous and stable gear grinding machining. A dresser (4) and a workpiece rotary table (5) are integrated on a large rotary table (2), so that a machine tool can quickly switch between two working states, i.e., gear grinding and grinding wheel dressing, improving the working efficiency of the worm grinding wheel gear grinding machine. A workpiece pressing frame (12) is used for fixing a workpiece or disassembling the workpiece, improving the efficiency of clamping and disassembling the workpiece. A three-degree-of-freedom diagonal gear grinding scheme and a machining process grading method are combined, improving an axial traverse method of a grinding wheel: using a grinding wheel tooth surface used in a finish machining stage to perform rough machining on a gear machined next time, improving the utilization rate of the grinding wheel, and reducing the dressing frequency of the grinding wheel. A machining error is adjusted by adjusting machining parameters of the machine tool, achieving the adjustability of the error.
B23F 5/04 - Making straight gear teeth involving moving a tool relatively to a workpiece with a rolling-off or an enveloping motion with respect to the gear teeth to be made by grinding the tool being a grinding worm
Embodiments of the present application relate to the technical field of data mining, and provide an information processing method and apparatus, and an electronic device and a computer readable storage medium. The method comprises: acquiring object information of a plurality of objects associated with a target field; determining reference relationships between the plurality of objects on the basis of the object information; constructing a heterogeneous network on the basis of the reference relationships, and extracting a backbone structure of the heterogeneous network; and performing visualized display on the backbone structure so as to determine an analysis result for the target field on the basis of the visualized backbone structure. According to the embodiments of the present application, the heterogeneous network is constructed and the backbone structure of the heterogeneous network is extracted, so as to implement accurate analysis for the target field, improve the accuracy of the data analysis result, and improve the accuracy of prediction of the industrial future development trend.
A high-power large-aperture fundamental mode vortex optical waveguide coherent VCSEL array is provided, and the coherent VCSEL array is a large-aperture array light-emitting structure, including an N electrode layer, an N-type DBR, an active region, an P-type DBR and a P electrode layer; micro/nanostructures pores with hexagonal lattice arrangement are etched on the surface of light output aperture on the each light-emitting unit mesa of the coherent VCSEL array, the micro/nanostructures pores are filled with highly doped semiconductor transparent materials to form a vortex optical waveguide structure. The provided combines the vortex optical waveguide structure and the P electrode layer in the traditional VCSEL array laser to realize the transverse and longitudinal regulation of the optical waveguide, the transverse and longitudinal injection of the current and the transverse and longitudinal conduction of the heat, and finally realizes the large-aperture high-power and high-coherence fundamental mode VCSEL array.
H01S 5/183 - Surface-emitting [SE] lasers, e.g. having both horizontal and vertical cavities having only vertical cavities, e.g. vertical cavity surface-emitting lasers [VCSEL]
H01S 5/026 - Monolithically integrated components, e.g. waveguides, monitoring photo-detectors or drivers
The present invention relates to the field of computer storage system structures. Disclosed is a heterogeneous multi-core system memory access management method for a deep neural network (DNN). According to the present invention, a CPU-GPU heterogeneous multi-core system is used to accelerate training of a DNN model, and a memory access controller is designed on the basis of the memory access characteristics of the CPU-GPU heterogeneous multi-core system; the last level cache shared by multiple cores is unloaded, prefetched, and released in the DNN training process; the data transmission process is fine-grained; and the utilization rate of the last level cache is significantly increased. In addition, a latency hiding mechanism is also designed for the memory access controller, and the access process and the calculation process of a large amount of intermediate data of a feature extraction layer are overlapped, so that the calculation performance loss caused by the last level cache miss and waiting of a DRAM memory access response in the model calculation process is reduced, improving the training efficiency.
Provided in the present invention is a multi-purpose modular operation optimization system for a municipal solid waste incineration process. The system comprises a multi-modal historical data synchronous driving module, an MSWI-process virtual control object module, an MSWI-process loop control module, an MSWI-process monitoring module, an operation parameter assisted decision-making module, a data-acquisition forward isolation module, an operation parameter reverse transmission module, an MSWI-process single-objective/multi-objective operation optimization module, a difficult-to-measure procedure parameter soft-measurement module, a multi-modal data driven procedure parameter prediction module, a vision-driven combustion state identification module, a flame combustion line quantification module and a multi-modal data acquisition module. The multi-purpose modular operation optimization system for a municipal solid waste incineration process provided in the present invention can achieve functions such as laboratory operation-optimization algorithm verification, laboratory procedure-parameter-modeling algorithm simulation and real-time verification, industrial field data acquisition and procedure parameter modeling, and industrial field assisted decision-making and operation optimization, and the system is convenient to use.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/56 - Extraction of image or video features relating to colour
G06V 10/54 - Extraction of image or video features relating to texture
6.
SYSTEM AND METHOD FOR TAIL GAS EMISSION MODELING ANALYSIS OF MUNICIPAL SOLID WASTE INCINERATION PROCESS
The present invention provides a system and method for tail gas emission modeling analysis of a municipal solid waste incineration process. The system comprises a reference working condition multi-software coupling full-process numerical simulation model construction module, a multi-operation working condition simulation mechanism data acquisition module, a MIMO-LRDT-based tail gas emission model construction module and a single/double-factor-based tail gas emission analysis module. The reference working condition multi-software coupling full-process numerical simulation model construction module is connected to the multi-operation working condition simulation mechanism data acquisition module. The multi-operation working condition simulation mechanism data acquisition module is connected to the MIMO-LRDT-based tail gas emission model construction module. The MIMO-LRDT-based tail gas emission model construction module is connected to the single/double-factor-based tail gas emission analysis module. The system and method for tail gas emission modeling analysis of a municipal solid waste incineration process provided by the present invention can achieve tail gas emission modeling analysis of the municipal solid waste incineration process.
G06F 30/20 - Design optimisation, verification or simulation
G06F 18/27 - Regression, e.g. linear or logistic regression
7.
DEVICE AND METHOD FOR REALIZING ADVANCED NITROGEN REMOVAL OF DOMESTIC SEWAGE VIA TWO STAGE PARTICAL NITRIFICATION-ANAMMOX COUPLED WITH SULFER ANTOTROPHIC DENITRIFICATION
A biological treatment of sewage device and method for realizing advanced nitrogen removal of domestic sewage by half partical nitrification-anammox coupled with sulfur autotrophic denitrification. The device includes a raw water tank, a half partical nitrification reactor, a regulating water tank and an anammox coupled denitrification reactor. The domestic sewage enters the half partical nitrification reactor, a mass concentration ratio of NO2−—N to NH4+—N in effluent water is 1-1.32 through real-time control, and then the effluent water enters the intermediate water tank. After it enters the upflow anammox coupled with autotrophic denitrification granular sludge reactor, the synergistic reaction of anammox and sulfur autotrophic denitrification in the reactor achieves the nitrogen removal. The device and the method improve denitrification efficiency by making full use of the synergistic effect between microorganisms, thereby realizing high-efficiency and energy-saving advanced nitrogen removal of municipal sewage.
A method for identifying waste household appliances based on multi-source data fusion is applied to a waste household appliance dismantling plant. To accurately identify the class of waste household appliances and achieve effective dismantling, the patented technology of the invention utilizes a generative adversarial network model to obtain multi-source data, constructs a hierarchical multi-source data interaction model for multi-source data feature interaction, and establishes a multi-source data fusion model based on complementary networks. The method achieves complementary learning of multi-source data features and obtains discriminative features. The method achieves high-precision identification of waste household appliances in the process of waste household appliance recycling under different lighting conditions.
G06V 10/80 - Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
G06V 10/12 - Details of acquisition arrangementsConstructional details thereof
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
Disclosed in the present invention are a graphene-like ultrathin nitrogen-doped carbon nanosheet, and a preparation method therefor, and the use thereof. The graphene-like ultrathin nitrogen-doped carbon nanosheet is prepared by means of high-temperature pyrolysis by using waste as a carbon source and urea as a nitrogen source, the waste comprising any one of glucose, fructose, cellulose, lignin, 5-hydroxymethylfurfural and straws. In addition, in the present invention, the prepared graphene-like ultrathin nitrogen-doped carbon nanosheet is applied to an electrocatalytic reaction to catalyze conversion of 5-hydroxymethylfurfural into 2,5-furandicarboxylic acid, achieving a good electrocatalytic conversion effect. Compared with the prior art, the preparation of the graphene-like ultrathin nitrogen-doped carbon nanosheet in the present invention involves a simple and convenient process, requires preparation raw materials that are widely available and inexpensive, and achieves environmental friendliness and allows for large-scale production, and in addition, the graphene-like ultrathin nitrogen-doped carbon nanosheet prepared in the present invention has small thickness, good electrocatalytic conversion effect and high economic benefits, thus having wide application prospects and great market potential.
C25B 11/091 - Electrodes formed of electrocatalysts on a substrate or carrier characterised by the electrocatalysts material consisting of at least one catalytic element and at least one catalytic compoundElectrodes formed of electrocatalysts on a substrate or carrier characterised by the electrocatalysts material consisting of two or more catalytic elements or catalytic compounds
The present invention relates to the technical field of nondestructive testing. Disclosed is a water spraying type piezoelectric ultrasonic sensor capable of filtering second harmonic interference of a system, which is particularly suitable for harmonic nonlinear detection of early-stage structural damage. In the present invention, a water spraying ultrasonic excitation/receiving sensor and an orientation adjusting component thereof are mainly comprised, wherein the water spraying ultrasonic excitation sensor comprises a superlattice structure. By designing parameters of the superlattice structure, a band gap thereof is matched with a second harmonic frequency band of nonlinear ultrasonic detection, achieving the objective of filtering second harmonic interference generated in a detection system. Moreover, a deflection angle and a spatial position of the water spraying ultrasonic excitation/receiving sensor can be adjusted according to different testing test members and damage types. In addition, a water spraying coupling mode can well ensure the consistency of a contact state between the sensor and the test members. The sensor can powerfully push engineering application of harmonic nonlinear ultrasonic detection technology.
G01N 29/28 - Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic wavesVisualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object Details providing acoustic coupling
G01N 29/22 - Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic wavesVisualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object Details
The provided is a Soft-sensing method for dioxin emissions of MSWI process based on ensemble T-S fuzzy regression tree. The highly toxic pollutant dioxins (DXN) generated in the municipal solid waste incineration (MSWI) process based on a grate furnace is a key environment index for realizing operation optimization control of the process. The method comprises the following steps: firstly, constructing a dioxin emission TSFRT model based on a screening layer and a fuzzy reasoning layer; then, a plurality of parameter updating learning algorithms aiming at the fuzzy reasoning antecedent part and the fuzzy reasoning consequent part are provided, and five dioxin emission TSFRT models including TSFRT-I, TSFRT-II, TSFRT-III, TSFRT-IV and TSFRT-V are obtained; finally, by taking the dioxin emission TSFRT-III model as an example, constructing an integrated TSFRT (EnTSFRT) model taking the TSFRT-III as a base learner so as to realize high-precision modeling of the dioxin emission concentration.
A broadband laser system enhanced in the later part of mid infrared spectrum is provided, which can obtain a high power and wide spectrum laser output enhanced in the later part of mid infrared spectrum, and has the advantages of full fiber, compact structure and high ratio of power in the later part of mid infrared spectrum. It includes a mode-locked fiber laser, a pre amplifier, an optical fiber stretcher, an amplifier, a main amplifier, a first nonlinear optical fiber, a mid infrared amplifier and a second nonlinear optical fiber, which are connected in sequence, and each of them adopts a water cooling device or a thermo electric cooler, and is connected by optical fiber fusion.
H01S 3/108 - Controlling the intensity, frequency, phase, polarisation or direction of the emitted radiation, e.g. switching, gating, modulating or demodulating by controlling devices placed within the cavity using non-linear optical devices, e.g. exhibiting Brillouin or Raman scattering
H01S 3/08 - Construction or shape of optical resonators or components thereof
H01S 3/0941 - Processes or apparatus for excitation, e.g. pumping using optical pumping by coherent light of a semiconductor laser, e.g. of a laser diode
H01S 3/1115 - Passive mode locking using intracavity saturable absorbers
A method for constructing episodic memory model based on rat brain visual pathway and entorhinal-hippocampal structure mainly applied to environment cognition and navigation of an intelligent mobile robot to complete tasks of environment cognition map construction and target-oriented navigation is provided. The image information of the environment, the head-direction angle and speed of the robot are collected, and then the head-direction angle and speed of the robot are input into the entorhinal-hippocampal CA3 neural computational model to obtain the robot's precise position. The visual information is input into the computational model of the visual pathway to obtain the scene information in the current vision of the robot. The above two kinds of information are fused and stored in a cognitive node with the topological relationship. Utilizing scenario information to correct the path integration errors during the exploration process of the robot, thereby constructing the episodic cognitive map representing the environment.
G05D 1/243 - Means capturing signals occurring naturally from the environment, e.g. ambient optical, acoustic, gravitational or magnetic signals
G05D 1/222 - Remote-control arrangements operated by humans
G05D 101/15 - Details of software or hardware architectures used for the control of position using artificial intelligence [AI] techniques using machine learning, e.g. neural networks
G05D 105/80 - Specific applications of the controlled vehicles for information gathering, e.g. for academic research
G06T 7/70 - Determining position or orientation of objects or cameras
14.
METHOD FOR MEASURING MICRO-VISCOSITY OF FRICTION CONTACT REGION OF POLYMER COATING
Provided are a method for measuring the micro-viscosity of a friction contact region of a polymer coating. The method comprises: using a molecular rotor fluorescent probe to dye a polymer coating before and after the mixing of different lubricants; and performing a quantitative test on a contact region in terms of the micro-viscosity, thereby revealing, from the perspective of the micro-viscosity, the interface response mechanism of the lubricants at the moment of being mixed, and establishing a relationship between the micro-viscosity and a friction coefficient jump. With regard to the technical problem of it being difficult to apply an existing mechanical viscosity measurement method to the measurement of the viscosity of a friction contact region of a polymer coating, in the measurement method, by means of introducing a molecular rotor fluorescent probe and using a fluorescent lifetime as a micro-viscosity evaluation indicator, and in view of a fluorescent lifetime-viscosity relation curve measured in an experiment, a quantitative measurement of the viscosity of the friction contact region of the polymer coating is implemented, thereby revealing, from the perspective of the micro-viscosity, a microscopic response mechanism of a friction interface under the action of different lubricants.
The present disclosure relates to an application of hydrogen molecules in the preparation of a product for promoting stem cell activation. Various hydrogen intervention means and generation means may be adopted when hydrogen molecules are applied, promoting the activation of autologous stem cells such as epidermal stem cells, basal stem cells, hair follicle stem cells, bone marrow-derived stem cells, mesenchymal stem cells, spermatocytes and neural stem cells. The related content may be applied to various fields such as wound healing, tissue/organ repair, tumor treatment, nervous system disease treatment, infertility treatment and aesthetic medicine.
A61P 17/14 - Drugs for dermatological disorders for baldness or alopecia
A61P 17/02 - Drugs for dermatological disorders for treating wounds, ulcers, burns, scars, keloids, or the like
A61P 15/08 - Drugs for genital or sexual disordersContraceptives for gonadal disorders or for enhancing fertility, e.g. inducers of ovulation or of spermatogenesis
An application of hydrogen molecules in the preparation of a product for promoting extracellular matrix accumulation. One or more hydrogen molecule intervention means may be used in combination, to increase extracellular matrix accumulation, promote wound healing, or improve skin condition. Hydrogen molecules are used as safe and effective gas molecules, and may be applied to multiple fields such as tissue/organ repair, wound healing and skin care.
Provided are an in-situ mechanical micro-electro-mechanical device and system, as well as a double-tilt sample holder. A first displacement member is arranged in a first hollow-out cavity of a base through a first mechanical measurement assembly, extends to a third hollow-out cavity of the base, and is provided with a first sample carrying portion at an extending end thereof. A second displacement member is arranged in a second hollow-out cavity of the base through a second mechanical measurement assembly, extends to the third hollow-out cavity, and is provided with a second sample carrying portion at an extending end thereof. The second sample carrying portion is nested with the first sample carrying portion. One of the first displacement member and the second displacement member is fixedly arranged, and the other of the first displacement member and the second displacement member is connected to a driving component.
Provided is an intelligent operational optimization method in the municipal solid waste incineration process, which belongs to both the field of municipal solid waste treatment and the field of intelligent optimization. The method includes: constructing a sample data set by collecting historical data in the municipal solid waste incineration process; with optimization objectives of nitrogen oxide emissions and combustion efficiency, establishing an SORBF neural network-based indicator model to characterize the mapping relationship between operational variables and optimization objectives in the municipal solid waste incineration process; and setting the established indicator model as evaluation functions of a multi-objective optimization algorithm, and obtaining optimal setting values of the operational variables by the multi-objective particle swarm optimization algorithm, so as to improve combustion efficiency while reducing concentrations of nitrogen oxide emissions.
The present invention belongs to the field of municipal solid waste management, and also belongs to the field of intelligent optimization. Provided is an intelligent operation optimization method for a municipal solid waste incineration process. The method comprises: collecting historical data in a municipal solid waste incineration process to construct a sample data set; using nitrogen oxide emissions and combustion efficiency as optimization objectives to establish an index model based on a self-organizing radial basis function neural network, so as to characterize a mapping relationship between operation variables and the optimization objectives in the municipal solid waste incineration process; and using the established index model as an evaluation function of a multi-objective optimization algorithm, and using a multi-objective particle swarm optimization algorithm to obtain optimal set values of the operation variables, so as to improve the combustion efficiency while reducing nitrogen oxide emission concentration. In the present invention, an intelligent operation optimization method for a municipal solid waste incineration process is established, such that the combustion efficiency and denitrification efficiency can be synergistically improved, and technical support can be provided for efficient and environment-friendly operation of the municipal solid waste incineration process.
A time signal processing circuit based on a multiplication-type interpolation circuit, comprising three parts, i.e., a time signal processing circuit, a calibration circuit, and a digital logic circuit, and implementing a time input signal-digital output signal conversion process. An input time signal is quantized by the time signal processing circuit to obtain a series of digital codes and the digital codes are output; feedback compensation is performed on the time signal processing circuit by means of the calibration circuit; and finally, final digital output is completed by the digital logic circuit. The time signal processing circuit based on a multiplication-type interpolation circuit quantizes a time input signal and outputs the quantized signal as a digital signal. The time signal processing circuit uses a pipeline operation system, so that the conversion speed is significantly increased, and the limitation relationship between the conversion speed and resolution is alleviated; the conversion precision of a time domain circuit is improved due to the assistance of the calibration circuit; and digital codes in different periods are integrated into synchronous digital output by the digital logic circuit, thus implementing a high-performance time signal processing circuit.
A cooperative transmission method based on adaptive terminal aggregation includes arranging a base station, several mobile terminals and several cooperative nodes, and further includes the following steps: S1, judging an aggregation form by a judgment node according to the quality of the first link and the quality of the second link; S2, based on a control signaling received from the base station, transmitting business data to the base station by a mobile terminal at the first-time point and within a specific resource; and S3, if the aggregation form is the cooperative node transmission, monitoring the business data transmitted via the mobile terminal at the first-time point in S2 by one or several cooperative nodes and decoding the business data. By dynamically adjusting the values of the first regulatory factor and the second regulatory factor, the adaptive terminal aggregation form with the lower energy-delay product for each user is selected.
22 and NOx pollutant emission index models; then, using single-neuron adaptive PID to establish a multi-input multi-output loop controller for key controlled variables, so as to realize stable control over a combustion process; and finally, in view of expert knowledge in the field, realizing adaptive solving of a key controlled variable optimization set value based on a multi-objective particle swarm optimization algorithm. Multi-objective optimization control over an MSWI process can be realized, existing running factories are guided, the pollutant emission concentration can be reduced, and the efficiency of combustion is improved.
G05B 13/04 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
23.
Gain optical fiber with double-clad fluoride and its preparation method
An optical fiber with a double-clad fluoride with low loss and high pump absorption efficiency, and its preparation method are provided. The gain optical fiber with the double-clad fluoride includes a fiber core, a D-shaped inner cladding, an outer cladding, and a polymer coating, wherein the fiber core, the inner cladding, and the outer cladding are all fluoride glass materials, and the polymer coating is a fluorinated ethylene propylene copolymer. The fiber core and inner cladding structure are prepared by a suction injection method, and the inner cladding is polished into a D-shaped structure, and the outer cladding is prepared by a core insertion casting method to form an optical fiber preform with D-shaped double-clad fluoride and draw an optical fiber.
The invention relates to an optimization method for mobile edge cache based on federated learning, and belongs to the field of Internet of things and artificial intelligence. According to the method, the situation that the user mobility and the content popularity change continuously in the range of a single base station is considered, and the cache hit rate is increased by predicting the content popularity and placing the request content in an edge cache in advance. The method specifically comprises the steps of obtaining a user moment trajectory table to simulate a moving path of a user by using an RWP random path point model, selecting the user participating in FL local training in a clustering, and threshold value combination mode in consideration of local training consumption, performing global model aggregation by using an attention mechanism to control model weight, and performing global prediction according to an obtained global prediction model. The predicted request content is cached to the server in advance to improve the cache hit rate. According to the method, a federated learning method is utilized; user selection and weight aggregation are optimized; and the effective federated learning method is implemented, so that the local training consumption is reduced, and the cache hit rate is increased.
A data-knowledge driven multi-objective optimal control method for municipal wastewater treatment process belongs to the field of wastewater treatment. To balance the energy consumption and effluent quality, a data driven multi-objective optimization model, including energy consumption model and effluent quality model are established to obtain the nonlinear relationship along energy consumption, effluent quality and manipulated variables. Meanwhile, a multi-objective particle swarm optimization algorithm, based on evolutionary knowledge, is proposed to optimize the set-points of nitrate nitrogen and dissolved oxygen. Moreover, the proportional integral differential (PID) controller is designed to track the set-points. Then the effluent quality can be improved and the energy consumption can be reduced.
A time signal processor based on multiplying phase interpolation circuit is provided. The time signal processor includes a time signal processing circuit, a calibration circuit and a digital logic circuit, and realizes a time input signal-digital output signal conversion process. The time signal processing circuit quantizes an input time signal to obtain a series of digital code output; feedback compensation is carried out on the time signal processing circuit through the calibration circuit; and finally, the digital logic circuit completes final digital output.
H03M 1/38 - Analogue value compared with reference values sequentially only, e.g. successive approximation type
G04F 10/00 - Apparatus for measuring unknown time intervals by electric means
H03K 5/13 - Arrangements having a single output and transforming input signals into pulses delivered at desired time intervals
H03K 19/20 - Logic circuits, i.e. having at least two inputs acting on one outputInverting circuits characterised by logic function, e.g. AND, OR, NOR, NOT circuits
27.
A Soft Measurement Method For Dioxin Emission Of Grate Furnace MSWI Process Based On Simplified Deep Forest Regression Of Residual Fitting Mechanism
The invention provides a soft measurement method for dioxin emission of grate furnace MSWI process based on simplified deep forest regression of residual fitting mechanism. The highly toxic pollutant dioxin (DXN) generated in the solid waste incineration process is a key environmental index which must be subjected to control. The rapid and accurate soft measurement of the DXN emission concentration is an urgent affair for reducing the emission control of the pollutants. The method comprises the following steps: firstly, carrying out feature selection on a high-dimensional process variable by adopting mutual information and significance test; then, constructing a simplified deep forest regression (SDFR) algorithm to learn a nonlinear relationship between the selected process variable and the DXN emission concentration; and finally, designing a gradient enhancement strategy based on a residual error fitting (REF) mechanism to improve the generalization performance of a layer-by-layer learning process. The method is superior to other methods in the aspects of prediction precision and time consumption.
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
An evaluation method for ecological performance of an asphalt-related material is provided. Firstly, working condition parameters are determined for evaluating the ecological performance of the asphalt-related material; secondly, based on the working condition parameters, a simulation test is performed on emission of asphalt-related pollutants during a preparation stage of the asphalt-related material; finally, based on a result of the simulation test, a quantitative evaluation of the ecological performance of the asphalt-related material is performed under different environmental impacts. The evaluation method is a laboratory scale simulation method based on measured pollutant emissions and various environmental impact factors, ultimately achieving laboratory scale ecological performance evaluation of the asphalt-related material, which has important reference value for green material selection of asphalt pavement.
An oscillating laser welding with filler wires for jointing aluminum alloy sheets with a large gap therebetween, including the following steps: providing two aluminum alloy sheets first, and reserving a gap (2) and keeping the gap with a constant width between opposite surfaces of the two aluminum alloy sheets to be jointed; providing a laser welding head (1), a wire feeding nozzle (3), and a protective gas nozzle (4) above the gap; presetting a welding start guiding plate (5) at a welding starting end of the gap, forming a molten pool on the welding start guiding plate by a laser beam, and guiding the molten pool to the welding starting end of the gap; and enabling the wire feeding nozzle and the laser welding head to correspond to the gap and travel in the same direction. The aluminum alloy welding wires fill the whole gap after being heated and molten by the laser beam, and the welding of the two aluminum alloy sheets is completed. The melting amount of the aluminum alloy sheets by the laser beam can be reduced as much as possible, so that a dilution rate of a welding joint and generation of a metallurgical reaction brittle phase can be reduced, and the porosity of the joint can further be reduced. Welding of conventional aluminum alloys, aluminum matrix composite materials, and additive-manufactured aluminum alloy sheets can be realized.
B23K 26/211 - Bonding by welding with interposition of special material to facilitate connection of the parts
B23K 26/10 - Devices involving relative movement between laser beam and workpiece using a fixed support
B23K 26/14 - Working by laser beam, e.g. welding, cutting or boring using a fluid stream, e.g. a jet of gas, in conjunction with the laser beamNozzles therefor
A motor and speed reducer integrated variable-rigidity joint driver, comprising: a torque motor (1), wherein the torque motor (1) comprises a housing (11), stators (12), a rotor (13), gear pins (14), and pin gear sleeves (15), a feedback sensor (111) is fixed on the housing (11), a coil (121) is wound on each stator (12), the rotor (13) is provided with a flange (131), permanent magnets (132) are embedded on the flange (131), and a magnetic element (133) is embedded on a shaft end of the rotor (13); and a speed reducer core (2), wherein the speed reducer core (2) comprises two completely identical cycloidal gears (21) arranged in a 180-degree phase difference, an eccentric shaft (22), and a planetary carrier (23), the web of each cycloidal gear (21) is provided with round holes (211) and special-shaped holes (212), and the planetary carrier (23) is provided with round pins (231) and special-shaped pins (232).
The present disclosure provides a method, a system, a device and a medium for measuring gear tooth profile roughness. The method includes: obtaining design parameters of a target gear pair and test parameters of each tooth profile working point; fitting a measured surface profile and a theoretical tooth profile curve to obtain a surface structure curve; calculating a Hertzian contact width according to the design parameters and the test parameters for each tooth profile working point on the theoretical tooth profile curve, and determining an evaluation length of surface roughness according to the Hertzian contact width; filtering the surface structure curve by means of a filter with a set wavelength to obtain a surface roughness profile; and determining surface roughness parameters of each tooth profile working point in a working area according to the surface roughness profile for each evaluation length.
The present invention discloses a method for in-situ detection of the state of charge (SOC) of pouch-type lithium-ion batteries using ultrasonic guided waves. The invention involves attaching two circular piezoelectric patches symmetrically at a fixed distance from each other on the surface of the lithium-ion battery using a coupling agent. A function generator is controlled to produce a Hanning-window-modulated five-cycle sine signal to excite the circular piezoelectric patch located on the left side of the battery, generating ultrasonic guided waves within the battery. These waves are then received by the circular piezoelectric patch located on the right side of the battery. The received guided wave signal is processed to extract the time-domain characteristic parameters of the wave (transit time). Based on the correspondence between the guided wave characteristic parameters (transit time) and the state of charge, the method enables the detection of the SOC of the pouch-type lithium-ion battery. The invention employs a pair of circular piezoelectric patches in a one-actuation, one-reception manner for the detection of lithium-ion batteries, achieving in-situ detection of the SOC of pouch-type lithium-ion batteries without the need to record external parameters such as current and voltage.
Disclosed in the present invention is an earth pressure balance model shield machine capable of realizing an earth pressure monitoring function of a cutterhead, an earth pressure chamber, a spiral earth discharging device, and a shield machine shell. The model shield machine comprises a shield framework, a cutting system, a jacking system, an earth discharging system, and an earth pressure monitoring system. The shield framework comprises the shield machine shell, an earth pressure chamber panel, and a chest plate, and is used for fixing devices in the cutting system, the jacking system, and the earth discharging system. By means of the cutting, jacking and earth discharging systems, the model shield machine can truly simulate the construction processes of shield machine soil excavation, forward jacking, and soil residue discharging in engineering. Three pressure sensors are mounted on a cutterhead panel, and earth pressure distribution monitoring on the cutterhead is achieved by means of a wireless pressure monitoring system; three pressure sensors are arranged on the earth pressure chamber panel, three pressure monitoring sections are arranged on the shield machine shell, and monitoring of the earth pressure of the upper position, the lower position, the left position and the right position of each monitoring section of the shield machine shell is achieved; and five pressure sensors are arranged at the bottom of a spiral earth discharging device shell, so that the monitoring of an earth pressure gradient in the spiral earth discharging device is achieved.
E21D 9/087 - Making by using a driving shield with additional boring or cutting means with a rotary drilling-head cutting simultaneously the whole cross-section, i.e. full-face machines
34.
STRATOSPHERIC AIRSHIP TRAJECTORY TRACKING METHOD BASED ON REINFORCEMENT LEARNING OPTIMAL CONTROL
A stratospheric airship trajectory tracking method based on reinforcement learning optimal control. The method comprises the following specific steps: establishing a six-degree-of-freedom kinematics and dynamics model of a stratospheric airship, and representing the model in the form of a state space equation; according to a given expected trajectory, calculating an error between an expected position and the current position, so as to obtain an unconstrained position tracking error dynamics model; estimating an optimal performance function and an optimal control quantity by using a critic network, and obtaining an optimal control input quantity by means of using the minimization of an estimation error as an objective; designing an interference observer on the basis of cascade filtering, so as to obtain an estimation compensation quantity of an uncertain item in the tracking error dynamics model, and obtaining a robustness optimal control law on the basis of the optimal control input quantity and the estimation compensation quantity; and performing control calculation on a resultant force and a resultant moment on the basis of the layout of a power system, so as to obtain a rotation speed of a propeller, such that the stratospheric airship autonomously tracks the expected trajectory. By means of an estimator based on cascade filtering, the effects of an unknown modeling error and external interference on a system are effectively suppressed, such that a controller has higher robustness.
2/MOF/NFC composite material. The present invention effectively degrades low-concentration formaldehyde in indoor environments or in air. Loading MOF on an aminated ceramic and doping alkali metal significantly improve the formaldehyde enrichment and degradation performance of the composite material, which is beneficial to the thorough removal of low-concentration formaldehyde in indoor environments or in air.
The present disclosure provides a method and system for predicting effluent ammonia nitrogen (NH4—N) and an electronic device. The method includes: obtaining data to be tested; and inputting the data to be tested into a trained deep echo state network, to obtain predicted NH4—N concentration. A method for establishing the deep echo state network includes: establishing an original network, where the original network includes a plurality of input variables and reservoirs, and a principal component analysis (PCA) mapping layer is added between adjacent ones of the reservoirs; initializing the original network to obtain an initialized network; performing parameter optimization on the initialized network by a matrix generation method of singular value decomposition and a competitive swarm optimizer (CSO) algorithm, to obtain an optimized network; and training and testing the optimized network, to obtain the trained deep echo state network.
A broad hybrid forest regression (BHFR)-based soft sensor method for DXN emission in a municipal solid waste incineration (MSWI) process, including: based on a broad learning system (BLS) framework, constructing a BHFR soft sensor model for small sample high-dimensional data by replacing a neuron with a non-differential base learner, where the BHFR soft sensor model includes a feature mapping layer, a latent feature extraction layer, a feature incremental layer and an incremental learning layer, and the method includes: mapping a high-dimensional feature; extracting a latent feature from a feature space of a fully connected hybrid matrix, and reducing model complexity and computation consumption based on an information measurement criterion; enhancing a feature representation capacity by training the feature incremental layer based on an extracted latent feature; and constructing the incremental learning layer based on an incremental learning strategy, obtaining a weight matrix with a Moore-Penrose pseudo-inverse, and implementing high-precision modeling.
BAOLI XINLIAN BLASTING ENGINEERING GROUP LIMITED (China)
Inventor
Yu, Hongbing
He, Tiezhu
Li, Jie
Zhou, Jianmin
Wang, Guangbing
Wang, Jiyu
Abstract
The present invention relates to the technical field of open pit construction, and in particular to an open pit mine blasting charging device and method. The blasting charging device comprises a charging bag (1) and a separation layer (2), wherein the charging bag (1) has a cylindrical structure, the separation layer (2) is fixedly connected to an inner side wall of the charging bag (1), and an emulsion explosive in the charging bag (1) is filled by means of a charging pipe on an explosive mixing and charging truck. The blasting charging device is composed of the charging bag (1) and the separation layer (2), a circular hole is provided in the center of the separation layer (2), and the separation layer (2) is integrally arranged in a hopper shape, such that the integrity of the emulsion explosive in the charging bag can be ensured while the separation layer (2) separates the emulsion explosive in the charging bag (1), thereby preventing the emulsion explosive in the charging bag (1) from being layered, and ensuring a final blasting effect.
BAOLI XINLIAN BLASTING ENGINEERING GROUP LIMITED (China)
Inventor
Yu, Hongbing
He, Tiezhu
Li, Jie
Zhou, Jianmin
Wang, Guangbing
Wang, Jiyu
Abstract
The present invention relates to the technical field of open-pit mine construction, in particular to a blasting charging structure for an open-pit mine. The blasting charging structure comprises an explosive mixing and charging vehicle body, a mixing drum (1), a mounting shaft (2) and a self-cleaning assembly (3). The mixing drum (1) is rotatably mounted on the explosive mixing and charging vehicle body. The mounting shaft (2) is fixedly mounted on the explosive mixing and charging vehicle body, is rotatably connected to the mixing drum (1), and is provided with an air cavity (4), an end port of the air cavity (4) being connected to an air supply device by means of an air pipe. The self-cleaning assembly (3) is mounted on the mounting shaft (2). By the provision of the blasting charging structure consisting of the explosive mixing and charging vehicle body, the mixing drum (1), the mounting shaft (2) and the self-cleaning assembly (3), and by means of the configuration that the self-cleaning assembly (3) consists of piston cavities (5), pistons (6), piston rods (7), a mounting plate (8), a cleaning plate (9), reset springs (10) and positioning members (11), the cleaning plate achieves a cleaning effect on the inner wall of the mixing drum, thereby preventing residual materials from coagulating on the inner side wall of the mixing drum.
The present invention discloses a method for characterizing the State of Charge (SOC) of lithium-ion batteries using an ultrasonic reflection coefficient, which employs a water immersion ultrasonic detection method for measuring the reflection coefficient angular spectrum of lithium-ion batteries. This invention pertains to the field of non-destructive testing technology. A pouch-type lithium-ion battery can be regarded as a laminated structure composed of multiple materials, and when the State of Charge (SOC) of the lithium-ion battery varies, its reflection coefficient changes accordingly. The invention acquires the reflection coefficient angular spectrum of lithium-ion batteries at different SOCs through ultrasonic water immersion detection, establishes a mapping relationship between the angular spectrum and the SOC of the lithium-ion battery, and uses the distance between the two peak values of the angular spectrum to characterize the SOC of the lithium-ion battery. The invention enables non-destructive characterization of the SOC of lithium-ion batteries and allows for localized SOC measurement of the batteries.
G01R 31/387 - Determining ampere-hour charge capacity or SoC
G01R 31/367 - Software therefor, e.g. for battery testing using modelling or look-up tables
G01R 31/378 - Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
41.
HOT-DEFORMED MAGNET AND PREPARATION METHOD THEREFOR
The present application relates to the technical field of magnetic materials, and in particular to a hot-deformed magnet and a preparation method therefor. The preparation method comprises: after amorphous or nanocrystalline magnetic powder is hot-pressed into a precursor, carrying out steel sleeve packaging and vacuumizing treatment on the precursor, carrying out heat preservation treatment at a temperature of 600-1000℃, and then carrying out hot rolling, wherein the size of crystal grains inside the precursor is less than 100 nanometers. The preparation method of the present application has dual advantages of being beneficial to large-scale efficient production and easy to control the overall dimension of the magnet. The manufacturing process is not limited by the vacuum degree and multi-step heating any more, the process is simple, the energy consumption can be reduced, the costs are reduced, the energy consumption and the costs are both lower than those of a hot pressing-hot deformation method, and the production efficiency is improved. The prepared magnet has the characteristics of high magnetic energy product and high coercivity, and has a wide application range and high application value.
H01F 41/02 - Apparatus or processes specially adapted for manufacturing or assembling magnets, inductances or transformersApparatus or processes specially adapted for manufacturing materials characterised by their magnetic properties for manufacturing cores, coils or magnets
42.
DEVICE AND METHOD FOR MAINTAINING STABILITY OF ANAEROBIC AMMONIUM OXIDATION (ANAMMOX) BY USING COMBINED ZEOLITE FILLER TO RESIST WATER QUALITY FLUCTUATIONS
A device and a method for maintaining the stability of anaerobic ammonium oxidation (anammox) by using a combined zeolite filler to resist water quality fluctuations are provided.
A device and a method for maintaining the stability of anaerobic ammonium oxidation (anammox) by using a combined zeolite filler to resist water quality fluctuations are provided.
The device includes a water inlet tank, an anammox reactor, and a water outlet tank, where the anammox reactor is filled with the combined zeolite filler maintained in a state of suspension, domestic sewage enters the anammox reactor through a water inlet pump, and effluent water enters the water outlet tank through an overflow port. The device combines the physical characteristics of zeolite adsorption of ammonium with the anammox process: when the concentration of ammonium in the influent water is too high, the zeolites will temporarily store the excess ammonium adsorbed; when the concentration of nitrite in the influent water is too high, the zeolites are capable to release the stored ammonium into a liquid phase through balanced adsorption desorption.
Provided in the present invention is a dioxin emission concentration soft measurement method based on an improved generative adversarial network, comprising: inputting MSWI process data into a missing data partitioning module for partitioning, so as to obtain an input feature and a target feature; inputting the input feature and the target feature into an adversarial generative data filling module for data filling, so as to obtain filling data; inputting the filling data and dioxin emission concentration experiment data into an input-output data matching module for data matching, so as to obtain modeling data; and inputting the modeling data into an improved deep forest regression module for modeling and prediction, so as to obtain a concentration predicted value. The present invention can improve the diversity and accuracy of dioxin emission concentration soft measurement.
An apparatus and method for maintaining anaerobic ammonium oxidation stability by resisting a water quality fluctuation using a combined zeolite filler. The present apparatus comprises three parts, i.e., an inlet water tank (1), an anaerobic ammonia oxidation reactor (2), and an outlet water tank (3); the anaerobic ammonia oxidation reactor (2) is filled with a combined zeolite filler (2.2), which is maintained in a suspended state; domestic wastewater enters the anaerobic ammonia oxidation reactor (2) by means of a peristaltic pump (1.2); and outlet water enters the outlet water tank (3) through an overflow port (2.6).
The preparation of a polyrotaxane-based polymer electrolyte and the use thereof, which belong to the technical field of lithium-ion batteries. A polyrotaxane-based polymer is composed of a linear polymer, a cyclic molecule and an end-capping molecule. The polyrotaxane-based polymer electrolyte is composed of the polyrotaxane-based polymer, a conductive lithium salt and a porous support material. The polymer electrolyte has a simple preparation process, has no byproducts and has good electrochemical performance. The room-temperature ionic conductivity can be greater than 10-3S cm-1, and the electrochemical window can be greater than 5 V (vs. Li+/Li); the polymer electrolyte has good compatibility with an electrode, and a lithium metal battery assembled from the polymer electrolyte has good cycling performance at room temperature. The present invention can significantly improve the interfacial compatibility of the polymer electrolyte and the electrode, such that the electrochemical performance and safety performance of a battery are improved.
Preparation and the use of a polymer-based composite solid-state electrolyte having a high ionic conductivity, belonging to the technical field of lithium ion battery electrolytes. The present invention uses a carbonate-based polymer, a conductive lithium salt, a porous support material, a functionalized silane coupling agent and an inorganic ion conductor material for composite preparation of an organic-inorganic composite solid-state electrolyte. The polycarbonate-based polymer electrolyte has a high ionic conductivity, a wide electrochemical window, and a high ionic transference number. The functionalized silane coupling agent can form chemical bonds and interactions with the polymer and the inorganic material to have a bridge effect between the polymer and the inorganic filler, so as to improve the ionic conductivity of the polymer electrolyte, expand the electrochemical window of the polymer electrolyte, and improve the interfacial contact between the solid-state electrolyte and the positive and negative electrodes, thus enhancing the charge-discharge performance of the lithium ion battery. The present application is suitable for the lithium ion solid-state batteries having high-voltage positive electrode materials.
A method for treating middle and mature landfill leachate by endogenous denitrification combined autotrophic nitrogen removal process, which belongs to a field of biological treatment of high-ammonia-nitrogen wastewater. The middle and mature landfill leachate firstly enters a PN/ED-SBR reactor to perform in an A/O (anaerobic/aerobic) mode, microorganisms in an anaerobic stage absorb an external carbon source and store the external carbon source as an intracellular carbon source, partial nitrification is performed in the aerobic stage, and the ammonia nitrogen in inlet water is completely oxidized into nitrite nitrogen; after the reaction is finished, an effluent containing nitrite nitrogen and middle and mature landfill leachate are mixed and then enter an AMOX-UASB reactor to perform anammox reaction, the effluent of the reactor is pumped into the PN/ED-SBR reactor again to perform in the anoxic mode, and oxidized nitrogen is removed through endogenous denitrification.
Provided in the present invention is an online soft measurement method for a dioxin (DXN) emission concentration during an MSWI process. The method comprises: determining process data according to a historical process data set of MSWI; performing principal component analysis according to the process data, so as to obtain a drift index control limit; constructing an FTBL-based offline model, and inputting the process data, and historical DXN true value data of MSWI into the offline model for prediction calculation; performing principal component analysis according to acquired online data, determining whether the online data is drift data or normal data according to the drift index control limit, and if the online data is normal data, skipping to the step of "constructing an FTBL-based offline model"; if the online data is drift data, constructing an FTBL-based online model, and inputting the process data of a typical sample pool, the drift data, and output data of an incremental layer of the offline model into the online model for prediction calculation; and determining a predicted DXN emission concentration value according to an offline calculation result and an online calculation result. The present invention can effectively improve the accuracy of the predicted DXN emission concentration value.
A joint expression coding system based on static and dynamic expression images is disclosed, including an image preprocessing module, a dynamic expression image generation module, a dynamic weight image generation module, and a joint expression coding image generation module. A joint expression coding method based on the joint expression coding system is also disclosed. A static expression image and a dynamic expression image are combined into one image according to the coding method by adopting the joint expression coding system and method based on the static and dynamic expression images, whereby static expression information and dynamic expression information can be represented at the same time, thus improving the emotion recognition capability based on facial expressions.
A soil body medium-based calibration system capable of simultaneously calibrating a plurality of soil pressure sensors, the system consisting of components such as a box body (1), an air compressor (2), a control cabinet (3), a calibration box (4), a hub (9), and an air pressure sensor (19). The components such as the air compressor (2), the control cabinet (3), the calibration box (4), the hub (9) and the air pressure sensor (19) are mounted in the box body (1). The box body (1) is divided into two spaces which are respectively equipped with two doors. The control cabinet (3) is mounted together with the components such as the air compressor (2), the air pressure sensor (19) and the hub (9), and is a control center of the whole calibration cabinet. The box body (1) is divided into two parts, namely a calibration chamber (21) and a control chamber (22), the two parts communicating with each other by means of an air inlet hole (13) and a connection hole (16). The air compressor (2) and the control cabinet (3) are mounted in the control chamber (22), and the air compressor (2) conveys air to the calibration chamber (21) via the air inlet hole (13). The calibration system can calibrate soil pressure sensors (17) on the basis of a soil body (20), and can simultaneously calibrate the plurality of soil pressure sensors (17), thereby automatically controlling a calibration pressure, and automatically performing calibration of a series of different pressure values.
2222222222/MOF/NFC composite material. The present invention effectively degrades low-concentration formaldehyde in indoor environments or in air. Loading MOF on an aminated ceramic and doping alkali metal significantly improve the formaldehyde enrichment and degradation performance of the composite material, which is beneficial to the thorough removal of low-concentration formaldehyde in indoor environments or in air.
B01D 53/00 - Separation of gases or vapoursRecovering vapours of volatile solvents from gasesChemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases or aerosols
52.
FRACTURE REDUCTION MECHANISM FOR PELVIC FRACTURE MINIMALLY INVASIVE SURGERY
THE FIRST MEDICAL CENTER, CHINESE PLA GENERAL HOSPITAL (China)
BEIJING UNIVERSITY OF TECHNOLOGY (China)
Inventor
Tang, Peifu
Li, Jianfeng
Zhao, Jingxin
Dong, Mingjie
Chen, Hua
Lun, Qinglong
Abstract
A fracture reduction mechanism for pelvic fracture minimally invasive surgery, comprising a support assembly, a driving assembly, a spin-clamp assembly, and unaffected-side fixing assemblies. The driving assembly comprises a synchronous rotation module (21), a first lead screw module (22), a second lead screw module (23), a third lead screw module (24), and an arc-shaped guide rail module (33); the mechanism is connected to a surgical bed (1) by means of bed-side guide rails (2) on two sides of the surgical bed (1) to form a frame closure structure; the support assembly and the unaffected-side fixing assemblies are slidably connected to the bed-side guide rails (2). By manually adjusting the linear movement distance and the fixed-axis rotation angle of the mechanism, six-degree-of-freedom translation and rotation of a pelvic fracture fragment can be achieved. The mechanism has high stiffness, a high load capacity, good portability, simple assembly and operation, and high motion precision, the motion center of the mechanism is a space virtual point, and the position can be adjusted according to the position of a patient and the type of fracture, thereby providing convenience for surgery.
A multi-view human action recognition method based on hypergraph learning, comprising acquiring video data from P views, and further comprising the following steps: pre-processing the video data; constructing spatial hypergraphs based on joint information; constructing temporal hypergraphs based on the joint information; performing feature learning of the spatial hypergraphs and the temporal hypergraphs using hypergraph neural networks; and extracting higher order information represented by the hypergraphs, and performing action recognition of human actions. The present invention constructs spatial hypergraphs using human joints in different views at the same moment to capture spatial dependency among multiple human joints; constructs temporal hypergraphs using human joints in different frames of the same view to capture temporal correlations among features of a particular joint in different views, so as to carry out learning based on features constructed by the spatial hypergraphs and the temporal hypergraphs using spatial-temporal hypergraph neural networks.
G06V 40/20 - Movements or behaviour, e.g. gesture recognition
G06V 10/77 - Processing image or video features in feature spacesArrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]Blind source separation
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06V 20/40 - ScenesScene-specific elements in video content
54.
Ultra-Tough Hydrogel via Hierarchical Energy Associative Dissipation
An ultra-tough physical hydrogel based on hierarchical energy associative dissipation network is provided, which the field of polymeric materials. The stock solution of a hydrogen donor is prepared by dissolving the hydrogen donor in deionized water; the stock solution is mixed with a hydrogen acceptor, deionized water and a 10 wt % ammonium persulfate (APS) solution; the mixture is cured in a closed container; after reactants with specific functional groups and appropriate spatial structures are mixed, a hierarchical heterogeneous structure with a dynamic recovery capability can be spontaneously formed in polymerization reaction, and the mechanical properties of the hydrogel are kept stable through several energy associative dissipation paths.
Provided in the present invention is a method for preferentially recovering manganese from a waste lithium-rich manganese-based positive electrode material. The method comprises: step 1) roasting and leaching: mixing a waste lithium-rich manganese-based positive electrode material with ammonium sulfate, then roasting same at a low temperature, leaching a roasting product with water, and then performing solid-liquid separation to obtain a roasted leachate; 2) complexation and manganese separation: adding ammonium sulfite to the roasted leachate obtained in step 1), and subjecting same to a complexation reaction to obtain manganese-rich slag; 3) oxidizing leaching: adding an oxidizing agent to the manganese-rich slag obtained in step 2) for oxidizing leaching, and adjusting the pH of the solution to obtain an oxidized leachate; and 4) extraction and reverse extraction: subjecting the oxidized leachate obtained in step 3) to multi-stage extraction of manganese to obtain a manganese-loaded organic phase and a raffinate, and subjecting the manganese-loaded organic phase to reverse extraction to obtain a manganese sulfate solution. The present invention can effectively reduce the negative influence of lithium, nickel and cobalt on manganese extraction during the extraction process, and improve the manganese-to-impurity ratio in the leachate and the overall recovery efficiency of manganese.
C22B 7/00 - Working-up raw materials other than ores, e.g. scrap, to produce non-ferrous metals or compounds thereof
C22B 3/38 - Treatment or purification of solutions, e.g. obtained by leaching by liquid-liquid extraction using organic compounds containing phosphorus
H01M 10/54 - Reclaiming serviceable parts of waste accumulators
56.
METHOD AND DEVICE FOR IN-SITU ENRICHING ANAMMOX BACTERIA BY CONVENTIONAL ACTIVATED SLUDGE
A method and device for in-situ enriching Anammox bacteria by conventional activated sludge, which belongs to a biological wastewater treatment technology. The device comprises a raw water tank, an anammox reactor and a water outlet tank. The method comprises the following steps: (1) taking traditional activated sludge from a municipal wastewater plant as inoculation sludge without special requirements on form of reactor and water quality of inflow; the mainstream anammox in-situ enrichment being realized mainly in three stages; (2) carbon and phosphorus removal stage, wherein carbon and phosphorus removal sludge is domesticated through joint control of aerobiotic time and sludge retention time; (3) partial nitrification stage, wherein the stage is realized through gradually extending the aerobiotic time; (4) anammox bacteria in-situ enrichment stage, wherein good culture retention conditions are provided through the artificial regulation strategies: (5) the method of the present invention only needs to construct or utilize the existing traditional activated sludge wastewater biological treatment devices and equipment without adding agents, which is conducive to the application of practical engineering.
A liver-targeted fluorescence/photoacoustic dual-modal probe for the early detection of drug-induced hepatic inflammation and autoimmune hepatitis is disclosed. The chemical makeup of the probe hCy-Tf-CA is shown in Equation 1. The fluorescence and photoacoustic signal of probe-only solution is very weak, the dual-modal signal was significantly increased after selectively reacting with O2·−. The probe has the advantages of early preparation, live-targeting ability, high selectivity and sensitivity and dual-modal imaging. The probe can in situ visualization of O2·− in early hepatic inflammation with fluorescent/photoacoustic dual-modal imaging, providing a potential strategy in biomedical field with broad application prospects.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using optical sensors, e.g. spectral photometrical oximeters
58.
Method for preferentially recovering manganese from waste lithium-rich manganese-based cathode material
The present invention provides a method for preferentially recovering manganese from waste lithium-rich manganese-based cathode material, the method comprising: step 1) calcination and leaching: mixing the waste lithium-rich manganese-based cathode material with ammonium sulfate and then performing low-temperature calcination, leaching the calcination product with water, and then performing solid-solution separation to obtain a leaching solution; step 2) complexing and manganese separating: adding ammonium sulfite to the leaching solution obtained in step 1) for a complex reaction to obtain manganese-rich residue; step 3) oxidation leaching: adding an oxidant to the manganese-rich residue obtained in step 2) to perform oxidation leaching, and adjusting the pH of the solution to obtain a manganese-rich solution; and step 4) extracting and stripping. The method realizes the preferential and productive recovering of manganese from waste lithium-rich manganese-based cathode materials, avoids the negative impact of polymetals in the conventional recovery process, and has economic and environmental benefits.
A method for constructing episodic memory model based on rat brain visual pathway and entorhinal-hippocampal structure mainly applied to environment cognition and navigation of an intelligent mobile robot to complete tasks of environment cognition map construction and target-oriented navigation is provided. The image information of the environment, the head-direction angle and speed of the robot are collected, and then the head-direction angle and speed of the robot are input into the entorhinal-hippocampal CA3 neural computational model to obtain the robot's precise position. The visual information is input into the computational model of the visual pathway to obtain the scene information in the current vision of the robot. The above two kinds of information are fused and stored in a cognitive node with the topological relationship. Utilizing scenario information to correct the path integration errors during the exploration process of the robot, thereby constructing the episodic cognitive map representing the environment.
A simulation analysis system for dioxin concentration in furnace of municipal solid waste incineration process includes an area division module, the area division module is connected with a numerical simulation module, the numerical simulation module is connected with a single-factor analysis module, the single-factor analysis module includes an orthogonal test analysis module, and the orthogonal test analysis module is connected with a control module; the area division module is used for dividing areas in the incinerator, the numerical simulation module is used for conducting modeling simulation on the divided areas, the single-factor analysis module is used for conducting single-factor analysis according to the output of the numerical simulation module, and the orthogonal test analysis module is used for conducting orthogonal test analysis according to the output of the numerical simulation module.
A telescopic device for laying cables along a steel arch for a tunnel, and a method of use. The device comprises a telescopic support, wherein an upper portion of the telescopic support is in rolling fit with two sides of a lower flange plate of a steel arch (11) by means of a sliding wheel assembly; a first cable support assembly and a second cable support assembly are symmetrically arranged at the top of the telescopic support, and are symmetrically positioned at two sides of a web plate of the steel arch; one end of the first cable support assembly and one end of the second cable support assembly are both hinged to the top face of the telescopic support, and the other end of the first cable support assembly and the other end of the second cable support assembly are both detachably connected to several cables (12); and a lower portion of the telescopic support is detachably connected to a traction rope.
H02G 1/06 - Methods or apparatus specially adapted for installing, maintaining, repairing, or dismantling electric cables or lines for laying cables, e.g. laying apparatus on vehicle
62.
Method and device for realizing advanced nitrogen removal of mature landfill leachate and sludge reduction by using sludge fermentation products as carbon source
Disclosed are a method and device for realizing advanced nitrogen removal of mature landfill leachate and sludge reduction by using sludge fermentation products as carbon source, belonging to the field of biological treatment of sludge of high ammonia nitrogen wastewater. The mature landfill leachate first enters a PNA-SBR, the reactor operates in an anoxic/anaerobic/oxic (A/A/O) mode, denitrification is performed at an anoxic state; then anaerobic ammonia oxidation is performed at an anaerobic stage to remove part of ammonia nitrogen and nitrite nitrogen; partial nitrification is performed at an oxic stage to remove the ammonia nitrogen; discharged water is pumped into a DN-SBR, meanwhile, an excess sludge fermentation mixture is added, the reactor operates in an anoxic/anaerobic/oxic (A/A/O) mode, organic matters in the sludge fermentation mixture are used for denitrification at an anoxic stage, and meanwhile, microorganisms store an inner carbon source; ammonia nitrogen brought by the fermentation mixture is removed at an anaerobic stage; and denitrification is performed through the inner carbon source at an oxic stage. The remarkable sludge reduction effect is achieved while a removal rate of TN achieves 96.0%, and the method and the device are suitable for advanced removal of the high ammonia nitrogen wastewater.
A dynamic modular neural network (DMNN) for NOx emission prediction in MSWI process is provided. First, the input variables are smoothed and normalized. Then, a feature extraction method based on principal component analysis (PCA) was designed to realize the dynamic division of complex conditions, and the prediction task to be processed was decomposed into sub-tasks under different conditions. In addition, aiming each sub-tasks, a long short-term memory (LSTM)-based sub-network is constructed to achieve accurate prediction of NOx emissions under various working conditions. Finally, a cooperative strategy is used to integrate the output of the sub-networks, further improving the accuracy of prediction model. Finally, merits of the proposed DMNN are confirmed on a benchmark and real industrial data of a municipal solid waste incineration (MSWI) process. The problem that the NOx emission of MSWI process is difficult to be accurately predicted due to the sensor limitation is effectively solved.
The invention discloses a method for preparing lead smelting slag glass-ceramics based on the oxidation of silicon-rich silicon smelting slag and composition adjustment, and belongs to the technical field of resource utilization of smelting slag rich in monatomic silicon. The method comprises the steps: mixing the silicon slag rich in monatomic silicon with an oxidant, a fluxing agent and a clarifying agent according to a formula ratio, ball-milling and screening to obtain a tempering raw material with uniform size, and performing high-temperature oxidation melting on the tempering raw material to form an oxidation-state molten tempering material; and carrying out further mixed melting on the molten tempering material and hot lead slag, carrying out water quenching to obtain basic glass, and carrying out heat treatment system on the obtained basic glass to form the glass ceramics. According to the method, the smelting slag rich in monatomic silicon is subjected to oxidation tempering and mixed melting with the hot lead slag to prepare the basic glass, and the glass ceramics are obtained by regulating and controlling the heat treatment system of the basic glass. The method is simple in technological process, high in production efficiency and low in cost, achieves the collaborative high-value conversion target of the silicon-rich silicon slag and the lead slag, and is easy to industrially popularize and apply.
C03C 1/00 - Ingredients generally applicable to manufacture of glasses, glazes or vitreous enamels
C03C 10/00 - Devitrified glass ceramics, i.e. glass ceramics having a crystalline phase dispersed in a glassy phase and constituting at least 50% by weight of the total composition
65.
Device and method for enhancing nitrogen and phosphorus removal based on multistage AO partial denitrification coupled with anammox in combination with sludge hydrolytic acidification
A device and method for enhancing nitrogen and phosphorus removal based on a multistage AO partial denitrification coupled with Anammox process in combination with a sludge hydrolytic acidification mixture belong to the technical field of active sludge method wastewater treatment. A system includes a water tank, a water pump, a biochemical reaction zone, a hydrolytic acidification tank and other devices. A multistage AO step-feed pipeline is used to inject raw water into the reaction zone in a segmented manner, guaranteeing efficient utilization of organic matter in the raw water; biofilm carriers are added into an anaerobic zone and anoxic zones to enrich anammox bacteria, and nitrite nitrogen produced by partial denitrification provides a substrate for the anammox bacteria to realize autotrophic nitrogen removal; a nitrification and phosphorus accumulating bacteria aerobic phosphorus uptake are performed in aerobic zones; and part of excess sludge in a secondary sedimentation tank enters the hydrolytic acidification tank to convert macromolecular organic matter into low molecular weight organic matter, a hydrolytic acidification mixture and the excess sludge in the secondary sedimentation tank synchronously flow back to the anaerobic zone, and as a high-quality carbon source, the low molecular weight organic matter can promote partial denitrification. The system provides a novel method for efficient and energy-saving treatment of municipal wastewater.
A method and system for calculating emotional indicators based on pupil-wave are provided. The operation of calculating emotional indicators based on a pupil-wave may include the following operations. A pupil-wave is collected when a subject is in a calm state and set as a standard pupil-wave; Obtaining emotional indicators and corresponding emotions used to measure a mental state. The pupil-wave of the subject in each emotional state is collected and set as an emotional pupil-wave; According to the standard pupil-wave, a bandwidth and differential pupil-wave corresponding to each emotion are calculated; The standard, emotional, bandwidth and differential pupil-wave are input into a pre-trained deep convolutional neural network to obtain index values of emotional indicators.
A method for preparing an ecological foamed ceramic from lepidolite filter mud whole waste belongs to the field of environmental protection and resource reuse. The ecological foamed ceramic with excellent properties can be prepared by using lepidolite filter mud as the main raw materials, including ball milling, homogenization, drying, material distribution, and heat treatment. The amount of lepidolite filter mud in the present invention accounts for more than 90%, which is a whole waste utilization and can achieve high-value utilization of bulk lepidolite filter mud. The present invention uses a composite foaming agent combined with a foaming technology and has the advantages of rapid foaming and controllable pore size compared with a single foaming agent. The ecological foamed ceramic prepared by the present invention meets the industrial standard of CJ/T 299-2008 “Artificial ceramic filter material for water treatment” and has potential application value in domestic sewage treatment.
C04B 38/00 - Porous mortars, concrete, artificial stone or ceramic warePreparation thereof
C04B 35/00 - Shaped ceramic products characterised by their compositionCeramic compositionsProcessing powders of inorganic compounds preparatory to the manufacturing of ceramic products
C04B 35/19 - Alkali metal aluminosilicates, e.g. spodumene
C04B 35/34 - Shaped ceramic products characterised by their compositionCeramic compositionsProcessing powders of inorganic compounds preparatory to the manufacturing of ceramic products based on oxides based on ferrites with cobalt oxide as the principal oxide with zinc oxide
C04B 35/622 - Forming processesProcessing powders of inorganic compounds preparatory to the manufacturing of ceramic products
C04B 35/626 - Preparing or treating the powders individually or as batches
C04B 38/10 - Porous mortars, concrete, artificial stone or ceramic warePreparation thereof by using foaming agents
C04B 41/00 - After-treatment of mortars, concrete, artificial stone or ceramicsTreatment of natural stone
68.
Method for checking or testing the profile of the path of contact of involute helical cylindrical gears
A method for checking or testing the profile of the path of contact of involute helical cylindrical gears is disclosed. The crossed helical gear transmits motion through the profile of the path of contact, and checking or testing the profile of the path of contact can reflect the transmission quality and working stability of the gear and the actual motion condition. In the gear hobbing, the grinding, the shaving and other generating machining, the movement of tools and gears is achieved based on the profile of the path of contact, and controlling the profile of the path of contact has unique advantages in controlling the quality of gear processing.
DEVICE AND METHOD FOR MEASURING CORRELATION BETWEEN FATIGUE PERFORMANCE AND MICROSTRUCTURE OF ONE-DIMENSIONAL (1D) NANOMATERIAL IN SITU IN TRANSMISSION ELECTRON MICROSCOPE (TEM)
The present disclosure provides a device and method for measuring a correlation between fatigue performance and a microstructure of a one-dimensional (1D) nanomaterial in situ in a transmission electron microscope (TEM), belongs to the technical field of in-situ testing and characterization of microstructures of nanomaterials. The device includes a chip part, a supporting part, and a control circuit. The supporting part is a bracket and a cable disposed on a transmission sample holder, and the circuit part consists of cables connected to the chip and a power supply capable of applying different waveforms, variable voltages, and variable frequencies. This design breaks through a traditional mechanical stress-driven fatigue performance test method, and achieves controllable adjustment of different amplitudes and cycles by using an electric field formed by a voltage and adjusting a voltage size and frequency, such that the 1D nanomaterial vibrates in the electric field to achieve fatigue performance testing.
G01N 23/06 - Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups , or by transmitting the radiation through the material and measuring the absorption
H01J 37/26 - Electron or ion microscopesElectron- or ion-diffraction tubes
70.
STACKING FAULT CONSTRUCTION AND ANIONIC ACTIVITY INDUCTION METHOD FOR LITHIUM-RICH MANGANESE-BASED LAYERED OXIDE
H01M 4/36 - Selection of substances as active materials, active masses, active liquids
H01M 4/505 - Selection of substances as active materials, active masses, active liquids of inorganic oxides or hydroxides of manganese of mixed oxides or hydroxides containing manganese for inserting or intercalating light metals, e.g. LiMn2O4 or LiMn2OxFy
C01G 45/12 - Complex oxides containing manganese and at least one other metal element
Beijing Precision Machinery & Engineering Research Co., Ltd. (China)
Beijing University Of Technology (China)
Inventor
Dai, Yuhong
Niu, Nana
Huang, Zuguang
Xing, Junyan
Zhu, Xiaofeng
Ren, Huiling
Liu, Heqiang
Wang, Dequan
Hou, Yaru
Hao, Xiaoqin
Abstract
The present invention discloses a method for constructing a surface stress distribution cloud map based on critical refraction longitudinal wave detection. The method comprises: firstly, meshing a surface of a detected article; secondly, The mean transverse stress on different grid lines and the mean longitudinal stress on different grid lines were obtained by the critical refraction longitudinal wave detection method; next, calculating the equivalent stress of each mesh node according to the mean transverse stress on different mesh transverse lines and the mean longitudinal stress on different mesh longitudinal lines on the surface of the detected article; and finally, drawing a stress distribution cloud map of the surface of the detected article according to the equivalent stress. The present invention can obtain the stress situations at different points on the surface of the detected article.
The invention belongs to the field of bromine recovery from waste circuit board, and particularly relates to a method for recovering high-purity sodium bromide from bromine-containing crude salt. The invention mainly includes the steps of acidification oxidation, multi-stage extraction, and cooperative back extraction. Compared with traditional chlorine oxidation and single urea back extraction technology, the acidification oxidation process can be effectively controlled by reasonable adjustment of the added amount of hydrochloric acid and sodium chlorate, and the tail gas can be absorbed and reused to avoid secondary pollution and resource waste. At the same time, urea is used with sodium carbonate for cooperative back extraction to achieve a high back extraction rate which greatly reduces the amount of urea, and obtains high-purity sodium bromide crystals. The efficient recovery of bromine resources in bromine-containing crude salt is realised. The benefits of the invention are: high product purity, simple operation, environmental friendliness.
A synergistic extraction method for selectively separating lithium and transition metals from waste batteries by using a hydrophobic deep eutectic solvent, relating to the technical field of hydrometallurgy. Provided is a synergistic extraction method having a good separation and extraction effect. Specifically disclosed are a hydrophobic deep eutectic solvent and tributyl phosphate (TBP) synergistic extractant and a method for separating lithium and transition metals from a waste lithium battery leachate. The hydrophobic deep eutectic solvent provided in the present application comprises n-decanoic acid (a hydrogen bond donor) and lidocaine (a hydrogen bond acceptor). The method comprises the following steps: (1) preparation of a hydrophobic deep eutectic solvent; (2) preparation of an organic phase for extraction; (3) co-extraction of nickel, cobalt and manganese; (4) stripping of nickel, cobalt and manganese; and (5) lithium precipitation. According to the present invention, the extraction effect on transition metals: nickel, cobalt and manganese, is good, the purity of lithium in the remaining water phase is high, efficient recovery of valuable metals in a waste lithium battery positive electrode material leachate is implemented, and the used deep eutectic solvent is a "novel green" solvent that is small in pollution, simple and convenient to synthesize, and low in price.
C22B 3/38 - Treatment or purification of solutions, e.g. obtained by leaching by liquid-liquid extraction using organic compounds containing phosphorus
74.
SYSTEM AND METHOD FOR SIMULATED ANALYSIS OF DIOXIN CONCENTRATION IN FURNACE IN SOLID WASTE INCINERATION PROCESS
The present invention provides a system and method for simulated analysis of dioxin concentration in a furnace in the solid waste incineration process. The system comprises an area division module connected to a numerical simulation module, wherein the numerical simulation module is connected to a single-factor analysis module, the single-factor analysis module comprises an orthogonal test analysis module, the area division module is used for dividing a furnace area of an incinerator, the numerical simulation module is used for performing modeling simulation on each divided area, the single-factor analysis module is used for performing single-factor analysis according to the output of the numerical simulation module, and the orthogonal test analysis module is used for performing orthogonal test analysis according to the output of the numerical simulation module. According to the system and method for simulated analysis of dioxin concentration in a furnace in the solid waste incineration process provided by the present invention, mechanisms such as DXN generation, combustion and re-generation in the MSWI process incinerator can be effectively analyzed and simulated, and reference is provided for reducing the DXN concentration at an outlet of a waste heat boiler.
The present invention provides a method for soft measurement of dioxin emission in the MSWI process based on an integrated T-S fuzzy regression tree. Toxic pollutant dioxin (DXN) generated in the municipal solid waste incineration (MSWI) process based on a grate furnace is a key environmental index for realizing operation optimization control of the process. First, a dioxin emission TSFRT model based on a screening layer and a fuzzy reasoning layer is constructed; then a plurality of parameter update learning algorithms for the fuzzy reasoning antecedent and consequence are proposed to obtain five dioxin emission TSFRT models, namely, TSFRT-I, TSFRT-II, TSFRT-III, TSFRT-IV and TSFRT-V; and finally, taking the dioxin emission TSFRT-III model as an example, an integrated TSFRT (EnTSFRT) model using TSFRT-III as a base learner is constructed to realize high-precision modeling of dioxin emission concentration. Experimental results on a real DXN data set indicate the effectiveness and reasonability of the proposed method.
H of the asphalt according to the following formula:
H of the asphalt. This method is based on the evolution law of the average stored pseudo strain energy required to compensate the damage-healing to explore the damage-healing characteristics of asphalt. As a characteristic index of materials, this energy evaluation index has nothing to do with the damage state and the rest periods, but only depends on the strain load, which improves the testing efficiency.
A coherent array laser structure and a preparation method. The coherent array laser structure comprises an array light source, a first resonant cavity and a second resonant cavity, wherein a high-reflection area and a low-reflection area are arranged on two sides of an active area of the array light source; the high-reflection area, the active area and the low-reflection area form the first resonant cavity; a passive dielectric layer (6), a mode selection layer (8) and a reflection layer (9) are sequentially arranged on a light-emergent side of the low-reflection area; the first resonant cavity, the passive dielectric layer (6), the mode selection layer (8) and the reflection layer (9) form the second resonant cavity; and the mode selection layer (8) is used for realizing parallel coherence and forming coherent laser light by means of the second resonant cavity. The length of the structure of the passive dielectric layer (6) and the structure of a micro-nano pattern in the structure of the mode selection layer (8) are regulated and controlled, such that the mode distribution of array laser light is changed, and thus mode locking in the same phase is realized; and composite oscillation is generated by means of the second resonant cavity, thereby achieving efficient self-injection feedback.
H01S 3/08 - Construction or shape of optical resonators or components thereof
H01S 3/105 - Controlling the intensity, frequency, phase, polarisation or direction of the emitted radiation, e.g. switching, gating, modulating or demodulating by controlling the mutual position or the reflecting properties of the reflectors of the cavity
The present invention provides a dioxin (DXN) emission risk early warning model construction method based on FNN adversarial generation. The method comprises: firstly, by means of a random forest algorithm, adaptively selecting input features that have a high correlation with DXN emission; next, generating candidate virtual samples of corresponding risk levels by means of FNN adversarial generation, so as to solve the problems of a small number of samples and uncertainty; then, constructing a multi-constraint selection mechanism by means of a discrimination probability, the maximum mean value difference and the nearest neighbor category, so as to ensure the quality of selected virtual samples; and finally, constructing an MSWI-process DXN emission risk early warning model on the basis of mixed samples. By means of the present invention, the problems of a high modeling data dimensionality, strong uncertainty, a small number of samples, etc. regarding a DXN risk early warning model are solved, an MSWI-process DXN emission risk early warning model with high effectiveness and superiority is constructed, and thus the accuracy of dioxin emission risk early warning is improved.
A method for preparing an ecological foamed ceramic from lepidolite tail mud full waste, which method belongs to the field of environmental protection and resource reutilization. The ecological foamed ceramic having a good performance is prepared by taking lepidolite beneficiation tail mud (lepidolite tail mud for short) as the main raw material, and the method mainly comprises the processes of ball milling, homogenizing, drying, material distribution, heat treatment, etc. The adding amount of the lepidolite tail mud in the present invention accounts for 90% or more, which realizes full waste utilization, and can realize large-scale high-value utilization of lepidolite tail mud. Compared with a single foaming agent, a composite foaming agent combined foaming technology is used in the present invention, and has the advantages of rapid foaming, a controllable pore diameter, etc. The ecological foamed ceramic prepared in the present invention satisifies the industrial standard of CJ/T 299-2008 Artificial Ceramic Filter Material for Water Treatment, and has a potential application value in terms of domestic sewage treatment.
The disclosure relates to a method for measuring parameters of roadway low-position lighting fixtures, comprising: selecting a plurality of sets of low-position lighting fixtures with preset color temperatures and color rendering indexes, or a set of low-position lighting fixtures configurable with multiple pairs of preset color temperature and color rendering index; for each set of the plurality of sets of low-position lighting fixtures or each pair of preset color temperature and color rendering index in the set of low-position lighting fixtures, dynamically recognizing a target under different predetermined luminance levels at different predetermined operating speeds; using obtained samples to fit a relationship model between recognition distance and luminance; and based on the fitted relationship model, determining at least one set of said plurality of sets of low-position lighting fixtures or determining at least one pair of preset color temperature and color rendering index for said set of low-position lighting fixtures. The disclosure also relates to an installation method of roadway low-position lighting fixtures and a road on which the lighting fixtures are installed. The invention overcomes the problems in the existing lighting fixture design in terms of the characteristic indicators of light source, installation height and light distribution.
The invention relates to the field of soil process analysis, in particular to a microcosmic culture device and its application in quantitative analysis of soil carbon diffusion and microbial utilization process. The microcosmic culture device comprises a closed container, an incubator and a dialysis tube in the closed container; The incubator comprises a soil layer; The dialysis tube is connected with the incubator, and part of the tube extends through the side wall of the incubator into the soil layer along the length direction. The dialysis tube is equipped with a carbon source, and the dialysis tube can make the carbon source spread to the soil layer, and always maintain the same water potential inside and outside the dialysis tube. The invention provides a quantitative analysis method for soil carbon diffusion and microbial utilization process based on the microcosmic culture device, through which the relationship between the efficiency of microbial utilization of exogenous carbon source and space can be explored, and the influence of the distance of carbon diffusion on the efficiency of microbial utilization of exogenous carbon can be further quantitatively analyzed.
Provided is a built-in laced-type lattice column double steel plate shear wall having a wall-beam joint region (12), belonging to the field of structural engineering. The double steel plate shear wall is made up of two outside steel plates (5), two built-in laced-type lattice column edge columns, n intermediate built-in steel pipe columns (6) and 4(n +1) pieces of horizontal connecting channel steel (10). The shear wall and a steel beam can be connected by means of a bolt or a cover plate; and the combination of the columns, the channel steel (10), angle steel (11), and the steel plates (5) greatly improves the lateral stiffness of the shear wall. The present invention solves the problems in the prior art where connection joints between steel plate shear walls and steel beam need to be treated for appearance, and the installation processes are complex; also, effective force transmission between the shear wall and the steel beam is ensured, internal reinforcement is achieved, and an energy dissipation capacity is also improved. The present invention utilizes a standardized process, and a new approach is provided in the development of assembled steel structures.
E04B 2/60 - Walls of framework or pillarworkWalls incorporating load-bearing elongated members with elongated members of metal characterised by special cross-section of the elongated members
E04B 2/56 - Walls of framework or pillarworkWalls incorporating load-bearing elongated members
83.
METHOD AND APPARATUS FOR SETTING FATIGUE AROUSAL SECTION IN TUNNEL, AND ROAD TUNNEL
Disclosed in the present invention are a method and apparatus for setting a fatigue arousal section in a tunnel, and a road tunnel. The method for setting a fatigue arousal section in a tunnel comprises: determining a plurality of colors and brightness levels of a fatigue arousal section; generating, on the basis of a plurality of samples, a plurality of arousal duration models of drivers' arousal durations changing along with stimulus amounts at a plurality of different vehicle speeds, wherein the samples comprise arousal durations of different drivers at different stimulus amounts under the plurality of colors and brightness levels; determining, by means of a corresponding arousal duration model according to a specified vehicle speed in a tunnel, a length of and a distance between fatigue arousal sections to be set; and setting one or more fatigue arousal sections in the tunnel on the basis of the determined length of and distance between fatigue arousal sections. According to the present invention, support can be provided for setting effective fatigue arousal sections in extra-long highway tunnels, and thus, physiological and psychological needs of drivers for safe and comfortable driving in extra-long tunnels can be met.
A61M 21/00 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
E02D 29/045 - Underground structures, e.g. tunnels or galleries, built in the open air or by methods involving disturbance of the ground surface all along the location lineMethods of making them
B60W 40/08 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to drivers or passengers
84.
Method for enhancing denitrification of sewage with low carbon-to-nitrogen ratio by using electrode biocarrier
The disclosure discloses a method for enhancing denitrification of sewage with a low carbon-to-nitrogen ratio by using an electrode biocarrier, and relates to the field of sewage treatment. The disclosure uses a conductive material as a microbial carrier and a potentiostat to induce a micro-electric field for directional acclimation and enrichment of electroactive denitrification microorganisms, and realizes a high-efficiency denitrification of the sewage with a low carbon-to-nitrogen ratio. The disclosure aims to provide a technical method for solving the problem of deep denitrification of municipal sewage with a low carbon-to-nitrogen ratio.
System and method for realizing partial anammox advanced nitrogen and phosphorus removal through mainstream and sidestream biofilm cyclic alternating for municipal wastewater treatment plant
The present application provides a system and method for realizing partial anammox advanced nitrogen and phosphorus removal through mainstream and sidestream biofilm cyclic alternating for a municipal wastewater treatment plant. The system includes three main component units: a mainstream zone (a), an advanced treatment zone (b) and a side stream zone (c). Advanced nitrogen and phosphorus removal of the entire system is realized through cyclic alternating of biofilms. In the mainstream zone (a), the main function of an anaerobic/anoxic zone is to perform heterotrophic denitrification nitrogen removal, and partial denitrification/anammox autotrophic nitrogen removal, and the main function of an oxic zone is to remove organic matter, perform aerobic phosphorus uptake, and complete a nitrification reaction. In a denitrification fluidized bed (8) in the advanced treatment zone (b), advanced treatment is performed for a mixed solution of effluent and raw water in the mainstream zone to achieve heterotrophic denitrification, and partial denitrification/anammox autotrophic nitrogen removal. A high-ammonia nitrogen anammox nitrogen removal zone (7) in the sidestream zone (c) enriches anammox bacteria based on biofilms, realizing autotrophic nitrogen removal of sidestream high-ammonia nitrogen wastewater.
A method for the batch preparation of an organic polymer microfiber laser (2.2). The batch preparation method comprises: dissolving a laser gain medium, an organic polymer and a surfactant in a solvent to prepare a solution; filling an injector (1.1) with the solution, fixing the injector (1.1) on a displacement platform (1.2) that is capable of horizontally moving, and placing a metal drum wheel (1.4) that is capable of rotating below the displacement platform (1.2); and extruding the solution in the injector (1.1) by using a micro-injection pump, gathering same at the tip of the injector (1.1), forming an organic polymer microfiber laser (2.2) between the tip of the injector (1.1) and the metal drum wheel (1.4) under the action of gravity and solution viscosity, rotatably collecting same by using the metal drum wheel (1.4), and performing batch preparation. When external light is pumped, a laser gain medium in the organic polymer microfiber laser (2.2) absorbs the energy of the pump light, emitted fluorescence is totally reflected on the inner boundary of microfibers multiple times to form gain, and laser output is therefore obtained.
An acoustic field diffusion type electromagnetic acoustic transducer with improved periodic permanent magnets is provided, which includes periodic permanent magnets, a transducer framework, improved racetrack shaped coils and a transducer connector.
A landform rotating electromagnetic field generating device, comprising metal electrodes (2), signal transmitters (3), a landform conductive medium (4) and wires (5). The landform rotating electromagnetic field generating device is arranged according to two specific modes: circular staggered epipolar arrangement and circular adjacent arrangement. The wires (5) and the metal electrodes (2) are weldedly connected. The metal electrodes (2) are embedded into the landform conductive medium (4) and are uniformly distributed on the edge of a detection region. Each wire (5) communicates with a corresponding signal transmitter (3) to emit sine waves or square waves with different phase sequences at the same frequency, thereby generating a rotating electromagnetic field having an adjustable magnetic field intensity shape.
G01V 3/08 - Electric or magnetic prospecting or detectingMeasuring magnetic field characteristics of the earth, e.g. declination or deviation operating with magnetic or electric fields produced or modified by objects or geological structures or by detecting devices
89.
Hardware-in-loop simulation experiment platform of multiple input and multiple output loop control for MSWI process
A hardware-in-loop simulation experiment platform of multiple input and multiple output loop control for MSWI process includes a real equipment layer and a virtual object layer, where in the real equipment layer and the virtual object layer realize communication through hard wirings and data acquisition cards, the real equipment layer and virtual object layer realize communication in OPC mode through Ethernet; the real equipment layer comprises monitoring equipment and control equipment, and the virtual object layer comprises an MSWI actuator model, an MSWI instrument device model and an MSWI process object model which are respectively operated in different industrial personal computers. The hardware-in-loop simulation experiment platform of multiple input and multiple output loop control for MSWI process provided by the invention is used for providing a reliable engineering verification environment for MSWI process control.
A device and a method for controlling a size of a molten pool in a wire and arc additive manufacturing process are provided. The device includes additive manufacturing equipment, a connecting device, bilateral gas flow devices and a CCD camera. By adjusting the connecting device, the bilateral gas flow devices and a welding gun have proper relative positions. The CCD camera is clamped on a rear side of the welding gun and matched with a proper optical filter to detect size information of the molten pool. In the additive manufacturing process, the bilateral gas flow devices and the welding gun keep moving synchronously, welding wires are conveyed to a designed position of a deposited layer by a wire feeding device, and bilateral gas flows can directly and synchronously act on a melting region. A flow controller is adjusted in real time according to the size of the molten pool.
B22F 12/00 - Apparatus or devices specially adapted for additive manufacturingAuxiliary means for additive manufacturingCombinations of additive manufacturing apparatus or devices with other processing apparatus or devices
B22F 12/90 - Means for process control, e.g. cameras or sensors
91.
MOBILE EDGE CACHE OPTIMIZATION METHOD BASED ON FEDERATED LEARNING
The present invention relates to a mobile edge cache optimization method based on effective federated learning, and belongs to the fields of the Internet of Things and artificial intelligence. In the method, the situation where the user mobility and content popularity continuously change within a single base station range is taken into consideration, and a cache hit rate is improved by means of predicting the content popularity and placing requested content at an edge cache in advance. Specifically, a user moment trajectory table is obtained by using a random waypoint (RWP) model, a manner of movement of a user is simulated, a local training consumption is taken into consideration, a user participating in FL local training is selected by combining clustering with a threshold value, a model weight is controlled by using an attention mechanism, so as to perform global model aggregation, and according to an obtained global prediction model, predicted requested content is cached in a server in advance, so as to improve a cache hit rate. In the method, client selection and weight aggregation are optimized by using a federated learning method, such that an effective federated learning method is realized, thereby reducing a local training consumption, and improving a cache hit rate.
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
92.
Method for separating and extracting rare-earth and regenerating rare-earth polishing powder from rare-earth polishing powder waste
The invention relates to a method of separating and extracting rare-earths from rare-earth polishing powder waste and regenerating rare-earth polishing powder, which is characterized by: firstly, process the waste powder with first acid leaching, alkali roasting, and second acid leaching to separate and extract rare-earths from rare-earth polishing powder waste to obtain the leaching solution of rare-earth chloride; secondly, precipitate from the leaching solution with ammonia to remove impurities and hydrochloric acid solution to obtain the purified solution of rare-earth chloride; thirdly, co-precipitate from the solution acquired in the second step with hydrofluoric acid, ammonium bicarbonate, and dispersant to obtain the lanthanum cerium fluoro-carbonate; and finally, after drying, two-stage high-temperature calcination, and ball milling, the regenerated rare-earth polishing powder with decent polishing performance can be obtained. The total leaching efficiency of rare-earths in the rare-earth polishing powder waste of the present invention reaches more than 95%, and the total recovery efficiency of rare-earths reaches more than 93%, which realizes the efficient separation, extraction, and regeneration of rare-earths in the rare-earth polishing powder waste.
C01F 17/241 - Compounds containing only rare earth metals as the metal element oxide or hydroxide being the only anion containing two or more rare earth metals, e.g. NdPrO3 or LaNdPrO3
Provided in the present invention is a residual fitting mechanism-based simplified deep forest regression soft measurement method for furnace grate furnace MSWI process dioxin emission. Toxic pollutant dioxin (DXN) generated in a solid waste incineration process is a key environment index which must be minimized and controlled. Carrying out rapid and accurate soft measurement on the DXN emission concentration is the to priority to reduce the discharge of this type of pollutants. The method comprises: firstly, performing feature selection on a high-dimensional process variable by using mutual information and a significance test; then, constructing a simplified deep forest regression (SDFR) algorithm to learn a nonlinear relationship between the selected process variable and the DXN emission concentration; finally, designing a gradient enhancement strategy on the basis of a residual fitting (REF) mechanism to improve the generalization performance of the layer-by-layer learning process. Compared with other methods, the present method is better in prediction precision and time consumption.
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
94.
COMPOSITE SEWAGE DENITRIFICATION PROCESS DEVICE AND OPERATION PARAMETER OPTIMIZATION METHOD
Disclosed are a composite sewage denitrification process device and an operation parameter optimization method. In the composite sewage denitrification process device having a built-in electrode biological carrier, a Box-Behnken model is used to design an orthogonal experiment, the carbon-nitrogen ratio, the hydraulic retention time, and the sludge volume fraction are selected as influence factors, the nitrate nitrogen removal rate, the COD removal efficiency, and the electrode carrier area denitrification contribution ratio are selected as response variables, an orthogonal experiment result is analyzed by using the response surface methodology, and a mathematical model between the influence factors and the response variables is established. According to the present invention, an optimization and control scheme for a process operation condition is obtained by using the response surface methodology, the efficiency of a process under different operation conditions can be predicted, and the present invention has the advantages of reducing the experimental workload and shortening the process operation time.
A rapid DLP 3D printing control parameter optimization method combining continuous and layered molding includes the following steps: confirming the maximum printable distance of each slice by analyzing the printable area of the model slice. The liquid-liquid interface printing scene was further established, and the flow behavior of the resin between the printed object and the fluorinated oil after printing a layer of slices was simulated and recorded. Next, determine the printing mode of the current slice by slicing the maximum printable distance and numerical simulation model. Then, based on Poiseuille flow, Jacobs working curve and Lambert-Beer law, the resin curing time of continuous and layered printing, the maximum filling distance of continuous printing, the best lifting distance of layered printing, and the corresponding printing platform lifting of the two methods are expressed speed. Finally, camera monitoring is used to determine the print origin before printing starts. This method can achieve fast printing of any model by obtaining the optimal control parameters, while being portable and printable.
B29C 64/124 - Processes of additive manufacturing using only liquids or viscous materials, e.g. depositing a continuous bead of viscous material using layers of liquid which are selectively solidified
96.
method for recovering rare-earth in cerium-based rare-earth polishing powder waste by two-step acid leaching gradient separation
The invention relates to a method of recovering rare-earth in cerium-based rare-earth polishing powder waste by two-step acid leaching gradient separation, characterized by: firstly, using a one-step acid leaching treatment on cerium-based rare-earth polishing powder waste to obtain a rare-earth leaching liquor which is rich in La; secondly, the leaching residue is then processed through alkali activation and transformation process, water washing and impurity removal process, secondary acid leaching process, filtration, and recovery to obtain high purity CeO2 products; thirdly, the acid leaching liquor obtained through first acid leaching and second acid leaching process is finally precipitated by oxalic acid, filtered and calcined at high temperature to obtain rare-earth oxide mixed products, which achieves the gradient separation and recovery of rare-earths from cerium-based rare-earth polishing powder waste. The total recovery efficiency of rare-earth of this invention reaches 97% or higher, with high efficiency of rare-earth recovery, wide process applicability, and low environmental pollution.
A dynamic multi-objective particle swarm optimization based optimal control method is provided to realize the control of dissolved oxygen (SO) and the nitrate nitrogen (SNO) in wastewater treatment process. In this method, dynamic multi-objective particle swarm optimization was used to optimize the operation objectives of WWTP, and the optimal solutions of SO and SNO can be calculated. Then PID controller was introduced to trace the dynamic optimal solutions of SO and SNO. The results demonstrated that the proposed optimal control strategy can address the dynamic optimal control problem, and guarantee the efficient and stable operation. In addition, this proposed optimal control method in this present invention can guarantee the effluent qualities and reduce the energy consumption.
G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
G05B 13/04 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
98.
DEVICE AND METHOD FOR SYNCHRONOUSLY TREATING HIGH-AMMONIA-NITROGEN WASTEWATER AND EXCESS SLUDGE
A device and a method for synchronously treating high-ammonia-nitrogen wastewater and excess sludge, which device and method belong to the field of excess-sludge biochemical treatment and sewage treatment. The involved device comprises: a primary water tank, a first SBR, an intermediate water tank, a sludge storage tank, and a second SBR. High-ammonia-nitrogen wastewater enters the first SBR, undergoes a short-cut nitrification coupling anaerobic ammonia oxidation, wherein some ammonia nitrogen is converted into nitrite nitrogen by means of short-cut nitrification, and residual ammonia nitrogen and the nitrite nitrogen are subjected to anaerobic ammonia oxidation to generate nitrogen and some nitrate nitrogen. The water output of the first SBR and the excess sludge in the sludge storage tank are synchronously pumped into the second SBR. In the second SBR, denitrifying bacteria reduce nitrate nitrogen into nitrogen by using organic matters generated by fermentation of the excess sludge as a carbon source, thereby achieving excess-sludge recycling and denitrification deep nitrogen removal. In the present invention, after a new autotrophic biological nitrogen removal process is used for the high-ammonia-nitrogen wastewater, the anaerobic fermentation of the sludge is then synchronized, thereby truly achieving the deep nitrogen removal of sewage and recycling treatment of excess sludge, and saving costs for nitrogen removal.
The invention provides a retractable friction stir welding spindle, aims at the deficiencies and defects of the existing friction stir welding spindle technology, that is, when the welding is finished, the stirring needle leaves a keyhole at the end of the weld seam, which affects the forming performance of the workpiece, the overall structure design of the spindle is complicated with many transmission chains and low reliability which is difficult to realize modularization. The retractable friction stir welding spindle includes an electric spindle system and a retracting mechanism. The electric spindle system includes stirring shaft shoulder, hilt, front end cover, hollow spindle, motorized spindle shell, motor rotor, motor stator, tail end cover, etc. The retracting mechanism includes stirring needle, connecting ball head and electric cylinder. The invention has the advantages of simple structure and can be mainly divided into two modules to improve reliability and integrity. The invention can also avoid the generation of friction stir welding keyhole.
B23K 20/00 - Non-electric welding by applying impact or other pressure, with or without the application of heat, e.g. cladding or plating
B23K 20/12 - Non-electric welding by applying impact or other pressure, with or without the application of heat, e.g. cladding or plating the heat being generated by frictionFriction welding
100.
SOFT-SENSING METHOD FOR DIOXIN EMISSION DURING MSWI PROCESS AND BASED ON BROAD HYBRID FOREST REGRESSION
A soft-sensing method for dioxin emission during an MSWI process and based on broad hybrid forest regression (BHFR). On the basis of a BLS framework, a BHFR soft-sensing model for small-sample and high-dimensional data is constructed by means of replacing neurons with a non-differential base learner, and the BHFR soft-sensing model comprises the construction of a feature mapping layer, a potential feature extraction layer, a feature enhancement layer and an incremental learning layer. The method comprises: firstly, constructing a hybrid forest group composed of a random forest and a completely random forest to perform high-dimensional feature mapping; secondly, performing potential feature extraction on a feature space of a fully connected hybrid matrix according to a contribution rate, and reducing model complexity and computing consumption by using an information measurement criterion; then, training a feature enhancement layer on the basis of the extracted potential information, so as to enhance a feature representation capability; and finally, constructing an incremental learning layer by means of an incremental learning strategy, and obtaining a weight matrix by using the Moore-Penrose pseudo-inverse, so as to realize high-precision modeling. The effectiveness and rationality of the proposed method are verified on a high-dimensional reference data set and an industrial process DXN data set.
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
G06K 9/62 - Methods or arrangements for recognition using electronic means
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