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公开(公告)号：US11604442B2
公开(公告)日：2023-03-14
申请号：US17358389
申请日：2021-06-25
摘要： System and method for improving operation of an industrial automation system, which includes a control system that controls operation of an industrial automation process. The control system includes a feature extraction block that determines extracted features by transforming process data determined during operation of an industrial automation process based at least in part on feature extraction parameters; a feature selection block that determines selected features by selecting a subset of the extracted features based at least in part on feature selection parameters, in which the selected features are expected to be representative of the operation of the industrial automation process; and a clustering block that determines a first expected operational state of the industrial automation system by mapping the selected features into a feature space based at least in part on feature selection parameters.
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公开(公告)号：US20210390160A1
公开(公告)日：2021-12-16
申请号：US17462102
申请日：2021-08-31
摘要： An analytics engine is provided for industrial automation applications. The engine may be modular, and may be instantiated upon receipt of a data structure, such as containing annotated data from or relating to a monitored and/or controlled machine or process. The module may be data-driven so that it is instantiated only as needed, upon receipt of the input data structure. The module then carries out analysis on the data, and outputs a data structure that can be used for further analysis, or directly by other modules for modeling, classification, optimization and/or control.
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公开(公告)号：US10528038B2
公开(公告)日：2020-01-07
申请号：US14995977
申请日：2016-01-14
发明人： Bijan Sayyarrodsari , Celso Axelrud , Kadir Liano
IPC分类号： G05B19/00 , G05B19/418 , G05B13/04 , G06F8/30 , G06F17/13
摘要： In one embodiment, a model predictive control system for an industrial process includes a processor to execute an optimization module to determine manipulated variables for the process over a control horizon based on simulations performed using an objective function with an optimized process model and to control the process using the manipulated variables, to execute model modules including mathematical representations of a response or parameters of the process. The implementation details of the model modules are hidden from and inaccessible to the optimization module. The processor executes unified access modules (UAM). A first UAM interfaces between a first subset of the model modules and the optimization module and adapts output of the first subset for the optimization module, and a second UAM interfaces between a second subset of the model modules and the first subset and adapts output of the second subset for the first subset.
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公开(公告)号：US11726459B2
公开(公告)日：2023-08-15
申请号：US16905130
申请日：2020-06-18
发明人： Bijan Sayyarrodsari , Subbian Govindaraj , David A. Vasko , Juergen Weinhofer , Andrew J Ellis , Ka-Hing Lin , Michael Pantaleano , Sujeet Chand , Kyle A. Crum
IPC分类号： G05B19/418
CPC分类号： G05B19/41835 , G05B2219/34329
摘要： An industrial control programming development platform simplifies generation of an industrial control program and associated tag definitions by generating at least a portion of the control program and tag definitions based on analysis of digital engineering drawings of an automation system to be monitored and controlled. This drawing-based program generation includes creation and configuration of smart data tags that model and contextualize controller data at the device level for processing by higher level analytic systems. This device-level contextualization can be based in part on inferences drawn from the digital engineering drawings.
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公开(公告)号：US20210318662A1
公开(公告)日：2021-10-14
申请号：US17358389
申请日：2021-06-25
摘要： System and method for improving operation of an industrial automation system, which includes a control system that controls operation of an industrial automation process. The control system includes a feature extraction block that determines extracted features by transforming process data determined during operation of an industrial automation process based at least in part on feature extraction parameters; a feature selection block that determines selected features by selecting a subset of the extracted features based at least in part on feature selection parameters, in which the selected features are expected to be representative of the operation of the industrial automation process; and a clustering block that determines a first expected operational state of the industrial automation system by mapping the selected features into a feature space based at least in part on feature selection parameters.
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公开(公告)号：US11119455B2
公开(公告)日：2021-09-14
申请号：US14995989
申请日：2016-01-14
IPC分类号： G05B13/04 , G06F16/90 , G06F16/901
摘要： The embodiments described herein include one embodiment that provides a control method that includes connecting a first controller to a control system; receiving control system configuration data from a database, in which the configuration data comprises holistic state data of a second controller in the control system; and configuring operation of the first controller based at least in part on the configuration data received.
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公开(公告)号：US20210103257A1
公开(公告)日：2021-04-08
申请号：US17125452
申请日：2020-12-17
发明人： Jan Kolinsky , Jiri Hanzlik , Petr Horacek , Bijan Sayyarrodsari
IPC分类号： G05B13/04 , G06F16/903 , G06F17/11
摘要： The embodiments described herein include one embodiment that a control method including executing an infeasible search algorithm during a first portion of a predetermined sample period to search for a feasible control trajectory of a plurality of variables of a controlled process, executing a feasible search algorithm during a second portion of the predetermined sample period to determine the feasible control trajectory if the infeasible search algorithm does not determine a feasible control trajectory, and controlling the controlled process by application of the feasible control trajectory.
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公开(公告)号：US10852716B2
公开(公告)日：2020-12-01
申请号：US16447659
申请日：2019-06-20
IPC分类号： G05B19/418 , G05B17/02
摘要： In certain embodiments, a control/optimization system includes an instantiated model object stored in memory on a model server. The model object includes a model of a plant or process being controlled. The model object comprises an interface that precludes the transmission of proprietary information via the interface. The control/optimization system also includes a decision engine software module stored in memory on a decision support server. The decision engine software module is configured to request information from the model object through a communication network via a communication protocol that precludes the transmission of proprietary information, and to receive the requested information from the model object through the communication network via the communication protocol.
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公开(公告)号：US20200265329A1
公开(公告)日：2020-08-20
申请号：US16276108
申请日：2019-02-14
摘要： Industrial smart data tags conforming to structured data types serve as the basis for creating a digital twin of an industrial asset. The digital twin can comprise an automation model and a mechanical model or other type of non-automation model, both of which reference the smart tags in connection with digitally modeling the industrial asset. The structured data topology offered by the smart tags allows the digital twin to be readily interfaced with artificial intelligence (AI) systems. AI analysis can leverage the smart tags to discover new relationships between key performance indicators and other variables of the asset and encode these relationships in the smart tags themselves. These enhanced smart tags can also be leveraged to perform AI-based validation the digital twin. Additional contextualization provided by the enhanced smart tags can simplify AI analysis and assist in quickly converging on desired analytic results.
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公开(公告)号：US20190250570A1
公开(公告)日：2019-08-15
申请号：US16394756
申请日：2019-04-25
发明人： Jan Kolinsky , Jiri Hanzlik , Petr Horacek , Bijan Sayyarrodsari
IPC分类号： G05B13/04 , G06F17/11 , G06F16/903
CPC分类号： G05B13/047 , G06F16/90335 , G06F17/11
摘要： The embodiments described herein include one embodiment that a control method including executing an infeasible search algorithm during a first portion of a predetermined sample period to search for a feasible control trajectory of a plurality of variables of a controlled process, executing a feasible search algorithm during a second portion of the predetermined sample period to determine the feasible control trajectory if the infeasible search algorithm does not determine a feasible control trajectory, and controlling the controlled process by application of the feasible control trajectory.
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