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公开(公告)号：US20230161935A1
公开(公告)日：2023-05-25
申请号：US17989747
申请日：2022-11-18
发明人： Hanwen YUAN , Sanhong ZHANG , Grant BREWER , Mengkai XU
CPC分类号： G06F30/27 , G05B23/0254 , G06F2119/08
摘要： A method of generating a digital twin of an environment includes generating one or more mathematical-based variables based on a mathematical model of the environment and sensor data from one or more sensors of the environment, generating one or more machine learning-based variables based on a machine learning-based model of the environment and the sensor data, and stacking the one or more mathematical-based variables and the one or more machine learning-based variables based on a meta-learning model to generate a machine learning input for predicting a performance characteristic of the environment.
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2.发明申请公开(公告)号：US20220026881A1
公开(公告)日：2022-01-27
申请号：US17443595
申请日：2021-07-27
发明人： Jacob LINDLEY , Miranda PIZZELLA , Jeremy QUANDT , Philip SCHMIDT , John BERGEN , Hanwen YUAN , Daniel GANDER
IPC分类号： G05B19/4155
摘要： A method of controlling a thermal system of an industrial process includes monitoring intermediate data, associating the intermediate data with correlation data, wherein the correlation data includes an internal process control input, an external heater control input, the output control, or a combination thereof. The method further includes generating a model that defines a relationship between the intermediate data and the correlation data, identifying a state of the heater system based on the model, and selectively performing a corrective action based on the identified state of the heater system.
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