Aspects of the present invention provide methods, systems, and/or the like for: (1) receiving first imaging data from a first imaging device, the first imaging data comprising infrared imaging data for at least a first portion of an article of manufacture during a manufacturing process; (2) deriving moisture profile data from the infrared imaging data the infrared imaging data; and (3) providing the moisture profile data to a quality control system for use in cross-direction and machine-direction control. In some aspects, the first imaging device may be placed in any suitable location along a papermaking or other manufacturing process to provide real-time, full-width moisture profiles of a paper web at any location in the process. They system may be utilized at papermaking startup and implemented to optimize paper machine dewatering on a component-by-component basis.
Aspects of the present invention provide methods, systems, and/or the like for: (1) determining temperature data for at least part of an article of manufacture in a manufacturing process; (2) analyzing the temperature data to identify a first portion of the article of manufacture having a temperature that deviates from a surrounding portion of the first portion, the first portion comprising: at least one hot spot, at least one hot streak, at least one cold spot, or at least one cold streak on the article of manufacture; (3) determining, for the first portion of the article of manufacture, a set of properties related to the temperature: (4) processing the set of properties using at least one of a rules-based model, a machine-learning model, or a classification model to produce a defect classification; and (5) providing an indication of the defect classification for display on a computing device.
Aspects of the present invention provide methods, systems, and/or the like for: (1) receiving first imaging data from a first imaging device, the first imaging data comprising imaging data for at least a first portion of an article of manufacture during a manufacturing process; (2) receiving second imaging data from a second imaging device, the second imaging data comprising imaging data for at least the first portion of an article of manufacture during a manufacturing process; (3) receiving event data associated with a manufacturing event associated with the article of manufacture during the manufacturing process; (4) processing, to produce a first data analysis result, the first imaging data, the second imaging data, and the event data using a machine-learning model trained with historical imaging data and historical manufacturing event data; (5) determining based on the first data analysis result, an origin of the manufacturing event.
Aspects of the present invention provide methods, systems, and/or the like for: (1) receiving current thermal imaging data for a portion of a paper web in the paper manufacturing process; (2) determining force data for the portion of the paper web; (3) processing, to produce a first data analysis result, current thermal imaging data, the force data, and paper profile data using a machine-learning model trained with respective historical thermal imaging data, respective historical force data, and respective paper profile data for each respective prior paper breakage event in a set of prior paper breakage events; (4) generating, based on the first data analysis result, a prediction as to an occurrence of the paper break on the portion of the paper web; (5) identifying a preventative action based on the prediction; and (6) facilitating performance of the preventative action.
Aspects of the present invention provide methods, systems, and/or the like for: (1) receiving current thermal imaging data for a portion of a paper web in the paper manufacturing process; (2) determining force data for the portion of the paper web; (3) processing, to produce a first data analysis result, current thermal imaging data, the force data, and paper profile data using a machine-learning model trained with respective historical thermal imaging data, respective historical force data, and respective paper profile data for each respective prior paper breakage event in a set of prior paper breakage events; (4) generating, based on the first data analysis result, a prediction as to an occurrence of the paper break on the portion of the paper web; (5) identifying a preventative action based on the prediction; and (6) facilitating performance of the preventative action.
Aspects of the present invention provide methods, systems, and/or the like for: (1) receiving current thermal imaging data for a portion of a paper web in the paper manufacturing process; (2) determining force data for the portion of the paper web; (3) processing, to produce a first data analysis result, current thermal imaging data, the force data, and paper profile data using a machine-learning model trained with respective historical thermal imaging data, respective historical force data, and respective paper profile data for each respective prior paper breakage event in a set of prior paper breakage events; (4) generating, based on the first data analysis result, a prediction as to an occurrence of the paper break on the portion of the paper web; (5) identifying a preventative action based on the prediction; and (6) facilitating performance of the preventative action.
Various embodiments include methods, apparatuses, systems, and computing devices that are configured to: (1) receive media of a processing region of an industrial process, where the processing region comprises at least one object, the media comprises a plurality of media elements, and each of the media elements comprises a field of view of the at least one object; (2) identify based on an area of interest, a set of pixels, wherein the field of view comprises the area of interest; (3) for each media element of the plurality of media elements: (a) extract an attribute value from each pixel of the set of pixels found in the media element, and (b) construct a respective array comprising each attribute value; (4) combine each of the respective arrays in a data structure; and (5) analyze the data structure to provide data on a processing parameter associated with the industrial process.
Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for monitoring and/or controlling processing parameters for an industrial process. In various embodiments, a method is provided that comprises: receiving media of a processing region of an industrial process that comprises an object, wherein the media comprises media elements, and each media element comprises a field of view of the object; identifying a set of pixels found in the area of interest; and for each media element: extracting an attribute value from each pixel found in the media element; constructing an attribute profile comprising the attribute value for each pixel; mapping the attribute profile to a mapped profile that comprises at least one property value that correlates to at least one attribute value; and providing the mapped profile to a control system to use in controlling processing parameters of the industrial process.
G05B 19/4155 - Commande numérique [CN], c.-à-d. machines fonctionnant automatiquement, en particulier machines-outils, p. ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'un programme sous forme numérique caractérisée par le déroulement du programme, c.-à-d. le déroulement d'un programme de pièce ou le déroulement d'une fonction machine, p. ex. choix d'un programme
G06V 10/60 - Extraction de caractéristiques d’images ou de vidéos relative aux propriétés luminescentes, p. ex. utilisant un modèle de réflectance ou d’éclairage
G06V 10/75 - Organisation de procédés de l’appariement, p. ex. comparaisons simultanées ou séquentielles des caractéristiques d’images ou de vidéosApproches-approximative-fine, p. ex. approches multi-échellesAppariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexteSélection des dictionnaires
9.
Systems and methods for monitoring and controlling industrial processes
Various embodiments include methods, apparatuses, systems, and computing devices that are configured to: (1) receive media of a processing region of an industrial process, where the processing region comprises at least one object, the media comprises a plurality of media elements, and each of the media elements comprises a field of view of the at least one object; (2) identify based on an area of interest, a set of pixels, wherein the field of view comprises the area of interest; (3) for each media element of the plurality of media elements: (a) extract an attribute value from each pixel of the set of pixels found in the media element, and (b) construct a respective array comprising each attribute value; (4) combine each of the respective arrays in a data structure; and (5) analyze the data structure to provide data on a processing parameter associated with the industrial process.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
G05B 19/418 - Commande totale d'usine, c.-à-d. commande centralisée de plusieurs machines, p. ex. commande numérique directe ou distribuée [DNC], systèmes d'ateliers flexibles [FMS], systèmes de fabrication intégrés [IMS], productique [CIM]
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