SYSTEMS AND METHODS FOR LOCALLY MODELING A TARGET VARIABLE

    公开(公告)号:US20220171381A1

    公开(公告)日:2022-06-02

    申请号:US17650995

    申请日:2022-02-14

    Abstract: A method for operating an industrial automation system may include receiving, via a first module of a plurality of modules in a control system, a plurality of datasets via at least a portion of the plurality of modules. The plurality datasets may include raw values without context regarding the plurality datasets. The method may then include identifying a subset of the plurality of datasets that influences a value of a target variable by analyzing the data without regard to the context, modeling a behavior of the target variable over time based on the subset of the plurality of datasets, and adjusting one or more operations of an automation device based on the model.

    Systems and methods for locally modeling a target variable

    公开(公告)号:US11249469B2

    公开(公告)日:2022-02-15

    申请号:US16146647

    申请日:2018-09-28

    Abstract: A method for operating an industrial automation system may include receiving, via a first module of a plurality of modules in a control system, a plurality of datasets via at least a portion of the plurality of modules. The plurality datasets may include raw values without context regarding the plurality datasets. The method may then include identifying a subset of the plurality of datasets that influences a value of a target variable by analyzing the data without regard to the context, modeling a behavior of the target variable over time based on the subset of the plurality of datasets, and adjusting one or more operations of an automation device based on the model.

    INDUSTRIAL CONTROL SYSTEM WITH PREDICTIVE MACHINE LEARNING MODULE

    公开(公告)号:US20210072738A1

    公开(公告)日:2021-03-11

    申请号:US16989590

    申请日:2020-08-10

    Abstract: An industrial controller within an industrial automation environment is provided. The industrial controller includes a programming logic controller, configured to control an industrial device, and a predictive module, coupled with the programming logic controller. The predictive module is configured to receive configuration data from the programming logic controller, create a user-defined controller tag, and transfer the user-defined controller tag to the programming logic controller. The predictive module is also configured to receive operational data from the programming logic controller, and calculate operation monitoring data and value estimation data based on the operational data. The predictive module is further configured to write the operation monitoring data and value estimation data to the user-defined controller tag.

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

    公开(公告)号:US20210011467A1

    公开(公告)日:2021-01-14

    申请号:US17039347

    申请日:2020-09-30

    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.

    CLASSIFICATION MODELING FOR MONITORING, DIAGNOSTICS OPTIMIZATION AND CONTROL

    公开(公告)号:US20190102657A1

    公开(公告)日:2019-04-04

    申请号:US15720692

    申请日:2017-09-29

    Abstract: A modular analysis engine provided classification of variables and data in an industrial automation environment. The module may be instantiated upon receipt of an input data structure, such as containing annotated data for any desired variables related to the machine or process monitored and/or controlled. The data may be provided in a batch or the engine may operate on streaming data. The output of the module may be a data structure that can be used by other modules, such as for modeling, optimization, and control. The classification may allow for insightful analysis, such as for textual classification of alarms provided in the automation setting.

    SECURE MODELS FOR MODEL-BASED CONTROL AND OPTIMIZATION
    38.
    发明申请
    SECURE MODELS FOR MODEL-BASED CONTROL AND OPTIMIZATION 审中-公开
    基于模型控制和优化的安全模型

    公开(公告)号:US20160170408A1

    公开(公告)日:2016-06-16

    申请号:US15051372

    申请日:2016-02-23

    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。

    Online integration of model-based optimization and model-less control
    39.
    发明授权
    Online integration of model-based optimization and model-less control 有权
    在线整合基于模型的优化和无模型控制

    公开(公告)号:US09292010B2

    公开(公告)日:2016-03-22

    申请号:US13669135

    申请日:2012-11-05

    CPC classification number: G05B19/045 G05B13/042 G05B17/02 G05B2219/25273

    Abstract: In certain embodiments, a control system includes a model-less controller configured to control operation of a plant or process. The control system also includes an automation controller operatively connected for access to a model of the plant or process being controlled by the model-less controller. The automation controller is configured to modify parameters of the model-less controller via an explicit optimization procedure.

    Abstract translation: 在某些实施例中,控制系统包括被配置为控制设备或过程的操作的无模型控制器。 控制系统还包括可操作地连接的用于访问由无模型控制器控制的工厂或过程的模型的自动化控制器。 自动化控制器被配置为通过显式优化过程来修改无模型控制器的参数。

    CONTROL SYSTEM DATABASE SYSTEMS AND METHODS
    40.
    发明申请
    CONTROL SYSTEM DATABASE SYSTEMS AND METHODS 审中-公开
    控制系统数据库系统和方法

    公开(公告)号:US20150134647A1

    公开(公告)日:2015-05-14

    申请号:US14077006

    申请日:2013-11-11

    CPC classification number: G05B13/048 G06F16/9024

    Abstract: 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.

    Abstract translation: 本文描述的实施例包括提供控制方法的一个实施例,其包括将第一控制器连接到控制系统; 从数据库接收控制系统配置数据,其中所述配置数据包括所述控制系统中的第二控制器的整体状态数据; 以及至少部分地基于所接收的配置数据来配置所述第一控制器的操作。

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