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    Predictive monitoring and diagnostics systems and methods
    12.
    发明授权
    Predictive monitoring and diagnostics systems and methods 有权

    公开(公告)号：US10073421B2

    公开(公告)日：2018-09-11

    申请号：US14943621

    申请日：2015-11-17

    Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.

    Inventor： Bijan Sayyarrodsari ,  Kadir Liano ,  Alexander Barton Smith ,  Apurva Prakash Samudra

    IPC: G05B13/04

    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.

    Stabilized deteministic optimization based control system and method
    13.
    发明授权
    Stabilized deteministic optimization based control system and method 有权
    基于稳定的主观优化控制系统和方法

    公开(公告)号：US09400491B2

    公开(公告)日：2016-07-26

    申请号：US13837297

    申请日：2013-03-15

    Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.

    Inventor： Jan Kolinsky ,  Jiri Hanzlik ,  Petr Horacek ,  Bijan Sayyarrodsari

    IPC: G05B13/02 ,  G05B13/04 ,  G05B5/01

    CPC classification number: G05B13/04 ,  G05B5/01 ,  G05B13/042

    Abstract: 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.

    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。

    Secure models for model-based control and optimization
    14.
    发明授权
    Secure models for model-based control and optimization 有权
    用于基于模型的控制和优化的安全模型

    公开(公告)号：US09292012B2

    公开(公告)日：2016-03-22

    申请号：US13669165

    申请日：2012-11-05

    Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.

    Inventor： Bijan Sayyarrodsari ,  Kadir Liano ,  Alexander B. Smith

    IPC: G05B17/02

    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。

    Dynamically reconfigurable data collection agent for fracking pump asset
    18.
    发明授权
    Dynamically reconfigurable data collection agent for fracking pump asset 有权

    公开(公告)号：US11327473B2

    公开(公告)日：2022-05-10

    申请号：US15646689

    申请日：2017-07-11

    Applicant: Rockwell Automation Technologies, Inc.

    Inventor： Bijan Sayyarrodsari ,  Francisco P. Maturana

    IPC: G05B19/418 ,  G06Q10/08 ,  G06Q10/06 ,  G06Q10/10 ,  G06Q10/00

    Abstract: 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.

    PROGRESSIVE CONTEXTUALIZATION AND ANALYTICS OF INDUSTRIAL DATA
    19.
    发明申请
    PROGRESSIVE CONTEXTUALIZATION AND ANALYTICS OF INDUSTRIAL DATA 有权

    公开(公告)号：US20210097456A1

    公开(公告)日：2021-04-01

    申请号：US16588118

    申请日：2019-09-30

    Applicant: Rockwell Automation Technologies, Inc.

    Inventor： Bijan Sayyarrodsari ,  Michael Pantaleano ,  Ka H Lin ,  Juergen K Weinhofer ,  Andrew J Ellis ,  Kyle Crum ,  Sujeet Chand ,  David Vasko ,  Subbian Govindaraj

    IPC: G06Q10/06 ,  G06N20/00 ,  G06F17/16

    Abstract: A smart gateway platform leverages pre-defined industrial expertise to identify limited subsets of available industrial data deemed relevant to a desired business objective, and to collect and model this relevant data to apply useful constraints on subsequent artificial intelligence or machine learning analytics applied to the data. This approach can reduce the data space to which AI analytics are applied and assist data analytic systems to more quickly derive valuable insights and business outcomes. In some embodiments, the smart gateway platform can operate within the context of a multi-level industrial analytic system, feeding pre-modeled data to one or more AI or machine learning systems executing on one or more different levels of an industrial enterprise. The multi-level industrial analytic system can also further refine modeled industrial data as the data moves upward through the system (e.g., from the device level to higher levels).

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