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公开(公告)号：US20220277212A1
公开(公告)日：2022-09-01
申请号：US17744980
申请日：2022-05-16
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：US20220100156A1
公开(公告)日：2022-03-31
申请号：US17549093
申请日：2021-12-13
IPC分类号： G05B13/04 , 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：US20210389738A1
公开(公告)日：2021-12-16
申请号：US17462084
申请日：2021-08-31
IPC分类号： G05B13/04 , 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：US20210096551A1
公开(公告)日：2021-04-01
申请号：US16587187
申请日：2019-09-30
发明人： Bijan Sayyarrodsari , Michael Pantaleano , Ka H. Lin , Juergen K. Weinhofer , Andrew J. Ellis , Kyle Crum , Sujeet Chand , David Vasko , Subbian Govindaraj
IPC分类号： G05B19/418
摘要： An industrial data broker system receives contextualized industrial data from one or more industrial devices that support data modeling at the device level. The received industrial data is augmented with contextualization metadata that defines correlations between the data relevant to an analytical objective, and labels specifying analytic topics to which each data item is relevant. The broker system allows external systems, such as analytic systems, to subscribe to topics of interest, and streams a subset of contextualized device data relevant to the topic of interest to the external system for analysis.
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公开(公告)号：US20190302749A1
公开(公告)日：2019-10-03
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：US20190018394A1
公开(公告)日：2019-01-17
申请号：US15646689
申请日：2017-07-11
IPC分类号： G05B19/418
摘要： A scalable industrial asset management system dynamically negotiates allocation of mobile industrial assets to industrial operation sites. The asset management system tracks and models the capabilities and availabilities of a pool of mobile industrial assets (e.g., truck-mounted assets or other such assets). Based on a defined demand of a scheduled industrial operation requiring mobile industrial assets (e.g., a fracking operation, a mining operation, etc.) the system selects a subset of the mobile industrial assets that are both available during the scheduled operation and are collectively capable of satisfying the demands of the industrial operation. Moreover, based on the asset models for the subset of mobile industrial assets, the system configures an on-premise cloud agent device to collect telemetry data from the mobile assets during the operation and to migrate the collected data to a cloud-based collection and analytics system.
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公开(公告)号：US20170139382A1
公开(公告)日：2017-05-18
申请号：US14943621
申请日：2015-11-17
IPC分类号： G05B13/04
CPC分类号： G05B13/048 , G05B23/024
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：US20160132028A1
公开(公告)日：2016-05-12
申请号：US14995989
申请日：2016-01-14
IPC分类号： G05B13/04
CPC分类号： G05B13/048 , G06F16/9024
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：US20140277600A1
公开(公告)日：2014-09-18
申请号：US13837297
申请日：2013-03-15
发明人： Jan Kolinsky , Jiri Hanzlik , Petr Horacek , Bijan Sayyarrodsari
IPC分类号： G05B13/04
CPC分类号： G05B13/04 , G05B5/01 , G05B13/042
摘要： The embodiments described herein include one embodiment that provides a control method, including determining a first stabilizing feasible control trajectory of a plurality of variables of a controlled process, determining a second stabilizing feasible control trajectory for the plurality of variables for a second time step subsequent to the first time step, determining a first cost of applying the first feasible control trajectory at the second time step, determining a second cost of applying the second feasible control trajectory at the second time step, comparing the first and second costs, selecting the first feasible control trajectory or the second feasible control trajectory based upon the comparison in a predetermined time frame, and controlling the controlled process by application of the selected control trajectory.
摘要翻译： 本文描述的实施例包括提供控制方法的一个实施例，包括确定受控过程的多个变量的第一稳定可行控制轨迹，确定多个变量之后的第二时间步长的第二稳定可行控制轨迹， 第一时间步骤，确定在第二时间步骤应用第一可行控制轨迹的第一成本，确定在第二时间步骤应用第二可行控制轨迹的第二成本，比较第一和第二成本，选择第一可行控制轨迹 控制轨迹或第二可行控制轨迹，并且通过应用所选择的控制轨迹来控制受控过程。
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公开(公告)号：US11900277B2
公开(公告)日：2024-02-13
申请号：US17744980
申请日：2022-05-16
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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