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公开(公告)号:US20240353806A1
公开(公告)日:2024-10-24
申请号:US18304040
申请日:2023-04-20
CPC分类号: G05B13/048 , G05B13/027
摘要: Embodiments of the disclosure provide for generating optimal model prediction for process simulation. Some embodiments receive input dataset associated with the operation of an industrial plant, generates one or more predictions based on the input dataset and using a hybrid process simulation model. The one or more predictions may include FP model-predicted data indicative of predicted value for each of one or more process variables and error prediction indicative of a discrepancy between the FP model-predicted data and ground-truth data for the one or more process variables. Optimal model-predicted data may be generated based on the FP model-predicted data and the error prediction the optimal model-predicted data may be indicative of optimal process simulation output. Performance of one or more prediction-based actions may be initiated based on the optimal model-predicted data.
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2.
公开(公告)号:US12124229B2
公开(公告)日:2024-10-22
申请号:US17293986
申请日:2019-11-15
CPC分类号: G05B13/029 , D01G21/00 , D01H13/32 , G05B13/024 , G05B13/027 , G05B13/042
摘要: A textile mill system and associated method include a plurality of spinning mills each having textile machines. A computer system determines adapted machine parameters for the textile machines and processes within the spinning mills. The computer system includes a receiving and transmitting section configured to receive operational information from the spinning mills and the textile machines, and a first database configured to store the received operational information. A processing section includes an optimizer section with a neural network, wherein the neural network uses the operational information stored in the first database with processes for or derived from supervised or unsupervised machine or deep learning to determine the adapted machine parameters.
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公开(公告)号:US12124168B2
公开(公告)日:2024-10-22
申请号:US17557146
申请日:2021-12-21
发明人: Jing Chang , Ching-Hai Yang , Wei-Hsiang Tseng
CPC分类号: G03F7/16 , G05B13/027 , G06T7/001 , G06T7/60 , H01L21/0273 , H01L22/20 , H04N23/90 , G06T2207/20081 , G06T2207/20084 , G06T2207/30148
摘要: A method for manufacturing a semiconductor device includes obtaining a first image of a fluid dispense nozzle using a first camera, the fluid dispense nozzle configured to dispense fluid on a semiconductor substrate, obtaining a second image of the fluid dispense nozzle using a second camera, the second image having a higher resolution than the first image, determining a width of the fluid dispense nozzle at multiple intervals along the fluid dispense nozzle and a width of a spray pattern of a fluid being dispensed from the fluid dispense nozzle at multiple intervals along the spray pattern, fitting a first straight line to a series of data points representing a plurality of widths of the intervals along the fluid dispense nozzle and a plurality of widths of the intervals along the spray pattern, determining a first slope of the first straight line, and determining a condition of the spray pattern and the fluid dispense nozzle based on the first slope.
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4.
公开(公告)号:US20240345551A1
公开(公告)日:2024-10-17
申请号:US18419464
申请日:2024-01-22
IPC分类号: G05B13/02 , G06F16/248 , G06N3/0895
CPC分类号: G05B13/027 , G06F16/248 , G06N3/0895
摘要: Systems and methods are disclosed relating to building management systems with language model-based data structure generation. For example, a method can include receiving a query to select, from a plurality of data sources of a building management system, a selected one or more data sources according to a characteristic indicated by the query in at least one of a natural language representation or a semantic representation. The method can further include applying the query as input to a machine learning model to cause the machine learning model to generate an output indicating the selected one or more data sources, the machine learning model configured using training data comprising sample data and metadata from the plurality of data sources. The method can further include presenting, using at least one of a display device or an audio output device, the output.
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公开(公告)号:US12117810B2
公开(公告)日:2024-10-15
申请号:US17443927
申请日:2021-07-28
发明人: Tim Lu , Peter Wang
IPC分类号: G05B19/418 , G05B13/02 , H01L21/67
CPC分类号: G05B19/41865 , G05B13/027 , H01L21/67276 , G05B2219/31053
摘要: A method of planning the manufacture of component carriers includes defining a set of final product parameters as a target for component carriers to be manufactured, ranking the process parameters concerning their impact on the final product parameters, selecting a subset of higher ranked process parameters, inputting the selected subset of process parameters for processing by an artificial intelligence module, and determining an action plan for the manufacturing based on an output of the artificial intelligence module, where the product parameters are influenceable by a set of process parameters settable during the manufacturing method.
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公开(公告)号:US12117195B2
公开(公告)日:2024-10-15
申请号:US17667008
申请日:2022-02-08
发明人: Tsutomu Ishida
CPC分类号: F24F11/63 , G05B13/027 , G05B13/041
摘要: A control method for causing a computer to perform a process includes: obtaining a trained model for each area of a plurality of areas; detecting a first radiation temperature for each of the areas; blowing blowout air to an area where temperature unevenness is predicted among the plurality of areas on a basis of the detected first radiation temperature for each of the areas and the trained model; detecting a second radiation temperature for the area after the blowout air is blown; and executing re-training of the trained model on a basis of a label related to temperature unevenness created on a basis of the second radiation temperature and the second radiation temperature.
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7.
公开(公告)号:US20240337993A1
公开(公告)日:2024-10-10
申请号:US18749958
申请日:2024-06-21
申请人: Imubit Israel Ltd.
发明人: CORRIE CLARK , JOSEPH VON EDWINS , ABISHEK MUKUND , ELHANAN ILANI , OFER SALHOV , JANELLE JAGNANAN , MATTHEW STEPHENS , KEVIN CLARKE , GILAD COHEN , NADAV COHEN
CPC分类号: G05B13/048 , G05B13/027
摘要: A predictive control system for automatic operation of a plant includes controllable equipment and a predictive controller. The predictive controller is configured to use a predictive model to predict values of controlled variables predicted to result from operating the controllable equipment in accordance with corresponding values of manipulated variables, use the values of the controlled variables predicted by the predictive model to evaluate an objective function that defines a control objective as a function of at least the controlled variables, perform a predictive optimization process to generate optimal values of the manipulated variables for a plurality of time steps in an optimization period using the predictive model and the objective function, and operate the controllable equipment by providing the controllable equipment with control signals based on the optimal values of the manipulated variables generated by performing the predictive optimization process.
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公开(公告)号:US12114469B2
公开(公告)日:2024-10-08
申请号:US17542736
申请日:2021-12-06
申请人: Nvidia Corporation
发明人: Ali Heydari
CPC分类号: H05K7/20836 , G05B13/027 , H05K7/20754 , H05K7/20763
摘要: Systems and methods for cooling a datacenter are disclosed. In at least one embodiment, a flow controller adapter of a cooling manifold is to interchangeably receive a flow controller of a plurality of flow controllers, wherein a flow controller adapter is associated with a rack-side flow controller and with a tube there between and is configured to be movable within cooling manifold to allow different positions for mating a flow controller with a server-side flow controller of server tray or box.
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公开(公告)号:US20240310819A1
公开(公告)日:2024-09-19
申请号:US18679298
申请日:2024-05-30
发明人: Ala Moradian , Elizabeth Neville , Umesh Madhav Kelkar , Mark R. Denome , Prashanth Kothnur , Karthik Ramanathan , Kartik Shah , Orlando Trejo , Sergey Meirovich
IPC分类号: G05B19/418 , G05B13/02 , H01L21/67
CPC分类号: G05B19/41885 , G05B13/027 , G05B2219/32335 , G05B2219/32359 , G05B2219/45031 , H01L21/67276
摘要: A first selection of a first fabrication process and/or first manufacturing equipment to perform manufacturing operations of the first fabrication process is received. The first selection is input into a digital replica of the first manufacturing equipment, where the digital replica outputs physical conditions of the first fabrication process. Environmental resource usage data indicative of a first environmental resource consumption of the first fabrication process run on the first manufacturing equipment based on the physical conditions of the first fabrication process is determined. A modification to the first fabrication process that reduces the environmental resource consumption of the first fabrication process run on the first manufacturing equipment is determined. Applying the modification to the first fabrication and/or providing the modification for display by a graphical user interface (GUI) is performed.
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公开(公告)号:US20240310796A1
公开(公告)日:2024-09-19
申请号:US18583658
申请日:2024-02-21
申请人: MD Elektronik GmbH
发明人: Josef OHNI , Martina OSSNER , Stefan GRANDL , Peter HOFINGER
IPC分类号: G05B13/02 , G06V10/25 , G06V10/764 , G06V10/82
CPC分类号: G05B13/027 , G06V10/25 , G06V10/764 , G06V10/82 , G06V2201/06
摘要: Embodiments herein relate to operating a cable processing device by processing at least one cable section by a cable processing unit from an initial configuration to an end configuration, capturing at least one image of the at least one end configuration, applying a trained neural network to the at least one captured image to determine at least one region of interest from the at least one captured image in a first step, and the same neural network being designed to, in a second step, perform a classification of the at least one determined region of interest with regard to the presence of at least one learned error pattern of the at least one end configuration and determining a result associated with the classification. Moreover, a control signal is generated depending on the determined region of interest or depending on the result of the classification.
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