PREDICTIVE MONITORING AND DIAGNOSTICS SYSTEMS AND METHODS

    公开(公告)号:US20200064789A1

    公开(公告)日:2020-02-27

    申请号:US16666011

    申请日:2019-10-28

    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.

    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.

    PREDICTIVE MONITORING AND DIAGNOSTICS SYSTEMS AND METHODS

    公开(公告)号:US20190004485A1

    公开(公告)日:2019-01-03

    申请号:US16123678

    申请日:2018-09-06

    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.

    Optimization based controller tuning systems and methods

    公开(公告)号:US10139809B2

    公开(公告)日:2018-11-27

    申请号:US14996008

    申请日:2016-01-14

    Abstract: One embodiment of the present disclosure describes an industrial system, which includes a control system that controls operation of an industrial process by instructing an automation component in the industrial system to implement a manipulated variable setpoint. The control system includes a process model that model operation of the industrial process, control optimization that determines the manipulated variable setpoint based at least in part on the process model, a control objective function, and constraints on the industrial process, in which the control objective function includes a tuning parameter that describes weighting between aspects of the industrial process affected by the manipulated variable setpoint; and tuning optimization circuitry that determines the tuning parameter based at least in part on a tuning objective function, in which the tuning objective function is determined based at least in part on a closed form solution to an augmented version of the control objective function, which includes the constraints as soft constraints.

    SECURE MODELS FOR MODEL-BASED CONTROL AND OPTIMIZATION
    45.
    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
    46.
    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
    47.
    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。

    Deterministic Optimization Based Control System and Method for Linear and Non-Linear Systems
    48.
    发明申请
    Deterministic Optimization Based Control System and Method for Linear and Non-Linear Systems 有权
    线性和非线性系统的确定性优化控制系统和方法

    公开(公告)号:US20140277601A1

    公开(公告)日:2014-09-18

    申请号:US13838315

    申请日:2013-03-15

    CPC classification number: G05B13/047

    Abstract: The embodiments described herein include one embodiment that provides a control method including determining a linear approximation of a pre-determined non-linear model of a process to be controlled, determining a convex approximation of the nonlinear constraint set, determining an initial stabilizing feasible control trajectory for a plurality of sample periods of a control trajectory, executing an optimization-based control algorithm to improve the initial stabilizing feasible control trajectory for a plurality of sample periods of a control trajectory, and controlling the controlled process by application.

    Abstract translation: 本文描述的实施例包括提供控制方法的一个实施例,包括确定待控制的过程的预定非线性模型的线性近似,确定非线性约束集的凸近似,确定初始稳定可行控制轨迹 对于控制轨迹的多个采样周期,执行基于优化的控制算法,以改善控制轨迹的多个采样周期的初始稳定可行控制轨迹,并通过应用控制受控过程。

    ONLINE INTEGRATION OF MODEL-BASED OPTIMIZATION AND MODEL-LESS CONTROL
    49.
    发明申请
    ONLINE INTEGRATION OF MODEL-BASED OPTIMIZATION AND MODEL-LESS CONTROL 有权
    基于模型优化和模型控制的在线整合

    公开(公告)号:US20140128998A1

    公开(公告)日:2014-05-08

    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。

    AUTOMATED MONITORING DIAGNOSTIC USING AUGMENTED STREAMING DECISION TREE

    公开(公告)号:US20250155855A1

    公开(公告)日:2025-05-15

    申请号:US19022600

    申请日:2025-01-15

    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 operational parameters for one or more automation devices, wherein the one or more automation devices are configured to implement control logic generated based on a decision tree. The operations also include receiving an output by the decision tree based on the operational parameters. Further, the operations include determining the output is an anomalous output based on a constraint associated with the decision tree. Further still, the operations include generating an updated decision tree based on the anomalous output. Even further, the operations include generating updated control logic for the one or more automation devices based on the updated decision tree. Even further, the operations include sending the updated control logic to the one or more automation devices.

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