SECURE MODELS FOR MODEL-BASED CONTROL AND OPTIMIZATION
    21.
    发明申请
    SECURE MODELS FOR MODEL-BASED CONTROL AND OPTIMIZATION 有权
    基于模型控制和优化的安全模型

    公开(公告)号:US20140128996A1

    公开(公告)日:2014-05-08

    申请号:US13669165

    申请日:2012-11-05

    CPC classification number: G05B19/41885 G05B17/02 G05B2219/42155

    Abstract: 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.

    Abstract translation: 在某些实施例中,控制/优化系统包括存储在模型服务器上的存储器中的实例化模型对象。 模型对象包括被控制的工厂或过程的模型。 模型对象包括通过接口排除专有信息传输的接口。 控制/优化系统还包括存储在决策支持服务器上的存储器中的决策引擎软件模块。 决策引擎软件模块被配置为经由通信协议通过通信网络从模型对象请求信息,该通信协议排除专有信息的传输,并且经由通信协议通过通信网络从模型对象接收所请求的信息。

    Automated Monitoring Using Image Analysis

    公开(公告)号:US20250095131A1

    公开(公告)日:2025-03-20

    申请号:US18961848

    申请日:2024-11-27

    Abstract: A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, are configured to cause a processor to perform operations that include receiving image data after an operation is performed by an industrial automation device on a product; analyzing the image data based an object-based image analysis (OBIA) model to classify the product as one of a plurality of conditions related to manufacturing quality and the OBIA model includes property layers associated with features related to a manufacturing of the product; determining whether the one of the conditions indicates an anomaly being present in the product; sending a notification indicative of the one of the plurality of conditions is presently associated with the product; identifying a property layer associated with classifying the one of the plurality of conditions; and updating the OBIA model based on the property layer and the input indicative of the anomaly being incorrectly associated with the product.

    Systems and methods for retraining a model a target variable in a tiered framework

    公开(公告)号:US12174624B2

    公开(公告)日:2024-12-24

    申请号:US17932113

    申请日:2022-09-14

    Abstract: A method for operating an industrial automation system may involve receiving, via a first module of a plurality of modules in a control system, an indication that an error between a measurement associated with a target variable that corresponds with at least a portion of the industrial automation system and a modeled value for the target variable. The method may then involve determining, via the first module, whether the error is within a first range of values and retraining a model used to generate the modeled value for the target variable based on a portion of a plurality of sets of data points acquired via a plurality of sensors disposed in the industrial automation system in response to the error being within the first range of values.

    DEVICE CONTROL USING PROCESSED SENSOR DATA CORRESPONDING TO UNEXPECTED OPERATIONS

    公开(公告)号:US20240019847A1

    公开(公告)日:2024-01-18

    申请号:US18366426

    申请日:2023-08-07

    CPC classification number: G05B19/4155 G05B2219/31368

    Abstract: A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, cause a processor to perform operations including receiving a first dataset from a first automation component, the first dataset corresponds to raw data acquired by a first sensor; receiving a second dataset from a second automation component, the second dataset corresponds to raw data acquired by a second sensor; receiving data indicating an expected operation related to operations of an industrial automation system including the first and second automation components; determining a signature based on the first and second datasets and the data indicating the expected operation, wherein the signature indicates an unexpected operation as compared to the expected operation; performing a root cause analysis using the signature to determine a relationship indicating a first set of changes of the first dataset corresponding to a second set of changes in the data indicating the expected operation.

    SYSTEMS AND METHODS FOR CONTROLLING INDUSTRIAL DEVICES BASED ON MODELED TARGET VARIABLES

    公开(公告)号:US20200103878A1

    公开(公告)日:2020-04-02

    申请号:US16146664

    申请日:2018-09-28

    Abstract: An industrial automation system may include an automation device and a control system communicatively coupled to the automation device. The control system may include a first module of a number of modules, such that the first module may receive an indication of a target variable associated with the industrial automation device. The first module may then receive parameters associated with the target variable, identify a portion of data points associated with controlling the target variable with respect to the parameters, generate a model of each data point of the portion over time with respect to the parameters based on the data points, determine functions associated with the model. The functions represent one or more relationships between the each data point of the portion with respect to controlling the target variable. The first module may then adjust one or more operations of the automation device based on the functions.

    SECURE MODELS FOR MODEL-BASED CONTROL AND OPTIMIZATION

    公开(公告)号:US20190302749A1

    公开(公告)日:2019-10-03

    申请号:US16447659

    申请日:2019-06-20

    Abstract: 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.

    PREDICTIVE MONITORING AND DIAGNOSTICS SYSTEMS AND METHODS

    公开(公告)号:US20170139382A1

    公开(公告)日:2017-05-18

    申请号:US14943621

    申请日:2015-11-17

    CPC classification number: G05B13/048 G05B23/024

    Abstract: 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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