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1. 发明授权

EP3171239B1 PREDICTIVE MONITORING AND DIAGNOSTICS SYSTEM AND METHOD 有权
公开(公告)号：EP3171239B1
公开(公告)日：2019-10-16
申请号：EP16199319.1
申请日：2016-11-17
申请人： Rockwell Automation Technologies, Inc.
发明人： SAYYARRODSARI, Bijan , LIANO, Kadir , SMITH, Alexander Barton , SAMUDRA, Apurva Prakash
IPC分类号： G05B23/02

2. 发明公开

EP3193218A2 OPTIMIZATION-BASED CONTROL WITH OPEN MODELING ARCHITECTURE SYSTEMS AND METHODS 审中-公开
公开(公告)号：EP3193218A2
公开(公告)日：2017-07-19
申请号：EP17150266.9
申请日：2017-01-04
申请人： Rockwell Automation Technologies, Inc.
发明人： SAYYARRODSARI, Bijan , AXELRUD, Celso , LIANO, Kadir
IPC分类号： G05B13/04
CPC分类号： G05B19/41885 , G05B13/048 , G05B2219/32291 , G05B2219/39159 , G06F8/30 , G06F8/31 , 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.

3. 发明公开

EP3193218A3 OPTIMIZATION-BASED CONTROL WITH OPEN MODELING ARCHITECTURE SYSTEMS AND METHODS 审中-公开
标题翻译：基于优化的控制与开放建模系统和方法
公开(公告)号：EP3193218A3
公开(公告)日：2017-12-27
申请号：EP17150266.9
申请日：2017-01-04
申请人： Rockwell Automation Technologies, Inc.
发明人： SAYYARRODSARI, Bijan , AXELRUD, Celso , LIANO, Kadir
IPC分类号： G05B13/04
CPC分类号： G05B19/41885 , G05B13/048 , G05B2219/32291 , G05B2219/39159 , G06F8/30 , G06F8/31 , 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.
摘要翻译：在一个实施例中，用于工业过程的模型预测控制系统包括处理器，用于执行优化模块以基于使用具有优化过程模型的目标函数执行的模拟来确定控制时域上的过程的操纵变量并且控制过程使用操纵变量来执行模型模块，包括过程的响应或参数的数学表示。优化模块隐藏了模型模块的实现细节并且无法访问它们。处理器执行统一访问模块（UAM）。第一UAM在模型模块的第一子集与优化模块之间进行接口并且适配用于优化模块的第一子集的输出，以及第二UAM在模型模块的第二子集与第一子集之间进行接口并且适配第一子集的第二子集。

4. 发明公开

EP3171239A1 PREDICTIVE MONITORING AND DIAGNOSTICS SYSTEMS AND METHODS 有权
标题翻译：预测监测和诊断系统和方法
公开(公告)号：EP3171239A1
公开(公告)日：2017-05-24
申请号：EP16199319.1
申请日：2016-11-17
申请人： Rockwell Automation Technologies, Inc.
发明人： SAYYARRODSARI, Bijan , LIANO, Kadir , SMITH, Alexander Barton , SAMUDRA, Apurva Prakash
IPC分类号： G05B23/02
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.
摘要翻译：用于改进工业自动化系统的操作的系统和方法，其包括控制工业自动化过程的操作的控制系统。控制系统包括特征提取块，其通过至少部分地基于特征提取参数对在工业自动化过程的操作期间确定的过程数据进行变换来确定提取的特征; 特征选择块，其通过至少部分基于特征选择参数选择所提取特征的子集来确定所选特征，其中所选特征被预期为代表工业自动化过程的操作; 以及聚类块，其通过至少部分基于特征选择参数将所选特征映射到特征空间中来确定工业自动化系统的第一预期操作状态。

5. 发明公开

EP3633467A1 SYSTEMS AND METHODS FOR LOCALLY MODELING A TARGET VARIABLE 审中-公开
公开(公告)号：EP3633467A1
公开(公告)日：2020-04-08
申请号：EP19199158.7
申请日：2019-09-24
申请人： Rockwell Automation Technologies, Inc.
发明人： SAYYARRODSARI, Bijan , SMITH, Alexander B. , LIANO, Kadir , DAI, Wei , PURANIK, Yash P.
IPC分类号： G05B17/02 , G05B13/04
摘要： 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.

6. 发明公开

EP3462268A1 CLASSIFICATION MODELING FOR MONITORING, DIAGNOSTICS OPTIMIZATION AND CONTROL 有权
公开(公告)号：EP3462268A1
公开(公告)日：2019-04-03
申请号：EP18197610.1
申请日：2018-09-28
申请人： Rockwell Automation Technologies, Inc.
发明人： SAYYARRODSARI, Bijan , SMITH, Alexander Barton , LIANO, Kadir , DAI, Wei , PURANIK, Yash P.
IPC分类号： G05B23/02
摘要： 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.

7. 发明公开

EP3193219A1 OPTIMIZATION BASED CONTROLLER TUNING SYSTEMS AND METHODS 有权
标题翻译：基于优化的控制器调节系统和方法
公开(公告)号：EP3193219A1
公开(公告)日：2017-07-19
申请号：EP17150326.1
申请日：2017-01-05
申请人： Rockwell Automation Technologies, Inc.
发明人： SAYYARRODSARI, Bijan , LIANO, Kadir , DAI, Wei
IPC分类号： G05B13/04
CPC分类号： G05B19/4155 , G05B13/048 , G05B2219/31368 , G05B2219/40149
摘要： 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.
摘要翻译：本公开的一个实施例描述了一种工业系统，该工业系统包括控制系统，该控制系统通过指示工业系统中的自动化组件实施操纵变量设定点来控制工业过程的操作。控制系统包括模拟工业过程操作的过程模型; 至少部分地基于过程模型，控制目标函数和工业过程的约束来确定操纵变量设定点的控制优化，其中控制目标函数包括描述受影响的工业过程的各方面之间的加权的调整参数通过操纵变量设定点; 以及至少部分基于调谐目标函数来确定调谐参数的调谐优化电路，其中调谐目标函数至少部分地基于对控制目标函数的增强版本的封闭形式解决方案来确定，该解决方案包括作为软约束的约束。

8. 发明公开

EP3629543A1 SYSTEMS AND METHODS FOR ENCRYPTING DATA BETWEEN MODULES OF A CONTROL SYSTEM 审中-公开
公开(公告)号：EP3629543A1
公开(公告)日：2020-04-01
申请号：EP19199344.3
申请日：2019-09-24
申请人： Rockwell Automation Technologies, Inc.
发明人： SAYYARRODSARI, Bijan , SMITH, Alexander B. , LIANO, Kadir , DAI, Wei , PURANIK, Yash P.
IPC分类号： H04L29/06 , G05B19/418 , G06K9/62 , H04L9/08
摘要： An industrial automation system may include an automation device and a control system. The control system may be communicatively coupled to the automation device and may include a first module that may receive a request for information regarding the automation device. The first module may then determine information related to the request for information based on one or more datasets locally available to the first module, alter the information based on a signal configured to obscure the information, and send encrypted information to a second module of the plurality of modules.

9. 发明授权

EP3193219B1 OPTIMIZATION BASED CONTROLLER TUNING SYSTEMS AND METHODS 有权
公开(公告)号：EP3193219B1
公开(公告)日：2018-08-15
申请号：EP17150326.1
申请日：2017-01-05
申请人： Rockwell Automation Technologies, Inc.
发明人： SAYYARRODSARI, Bijan , LIANO, Kadir , DAI, Wei
IPC分类号： G05B13/04
CPC分类号： G05B19/4155 , G05B13/048 , G05B2219/31368 , G05B2219/40149
摘要： 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.

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