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    Automatic signal processing-based learning in a process plant
    3.
    发明授权
    Automatic signal processing-based learning in a process plant 有权

    公开(公告)号：US10282676B2

    公开(公告)日：2019-05-07

    申请号：US14507252

    申请日：2014-10-06

    Applicant: FISHER-ROSEMOUNT SYSTEMS, INC.

    Inventor： Mark J. Nixon ,  Peter Zornio ,  Wilhelm K. Wojsznis ,  J. Michael Lucas ,  Paul R. Muston ,  Eric D. Rotvold ,  Terrence L. Blevins

    IPC: G05B13/02 ,  G06N99/00

    Abstract: Techniques for automatically or autonomously performing signal processing-based learning in a process plant are disclosed. Generally, said techniques automatically or autonomously perform signal processing on a real-time signal that is generated based on the process plant controlling a process. Typically, the signal corresponds to a parameter value that varies over time, and the signal is processed as it is generated in real-time during on-line plant operations. Results of the signal processing may indicate characteristics of the signal, and one or more analytics functions may determine the sources of the characteristics, which may include a process element or device, a piece of equipment, and/or an asset of the process plant that is upstream, within the process, of the source of the signal. An autonomous signal processor may be integrated with or included in a process control device and/or a big data node of the process plant.

    ARCHITECTURE-INDEPENDENT PROCESS CONTROL
    4.
    发明申请
    ARCHITECTURE-INDEPENDENT PROCESS CONTROL 审中-公开

    公开(公告)号：US20180017952A1

    公开(公告)日：2018-01-18

    申请号：US15211846

    申请日：2016-07-15

    Applicant: FISHER-ROSEMOUNT SYSTEMS, INC.

    Inventor： Larry Oscar Jundt ,  Gary Law ,  Edward McDevitt ,  Matt Stoner ,  Godfrey R. Sherriff ,  David R. Denison ,  Mark J. Nixon ,  James R. Balentine ,  J. Michael Lucas ,  Stephen Gilbert

    IPC: G05B19/042 ,  G05B15/02

    Abstract: Process control systems for operating process plants are disclosed herein. The process control systems include control modules that are decoupled from the I/O architecture of the process plants using signal objects or generic shadow blocks. This decoupling is effected by using the signal objects or generic shadow blocks to manage at least part of the communication between the control modules and the field devices. Signal objects may convert between protocols used by control modules and field devices, thus decoupling the control modules from the I/O architecture. Generic shadow blocks may be automatically configured to mimic the operation of field devices within a controller executing the control modules, thus partially decoupling the control modules from the I/O architecture by using the shadow blocks to manage communication between the control modules and the field devices.

    Method and apparatus for managing process control configuration
    5.
    发明授权
    Method and apparatus for managing process control configuration 有权
    用于管理过程控制配置的方法和装置

    公开(公告)号：US09501208B2

    公开(公告)日：2016-11-22

    申请号：US14048496

    申请日：2013-10-08

    Applicant: Fisher-Rosemount Systems, Inc.

    Inventor： Larry O. Jundt ,  J. Michael Lucas ,  Marty James Lewis

    IPC: G05B11/01 ,  G06F3/0484 ,  G05B15/02 ,  G05B19/418

    CPC classification number: G06F3/0484 ,  G05B15/02 ,  G05B19/4188 ,  G05B2219/25067 ,  G05B2219/31418 ,  G05B2219/31467 ,  G05B2219/31472 ,  G05B2219/32128 ,  Y02P90/16 ,  Y02P90/18 ,  Y02P90/22 ,  Y02P90/24

    Abstract: Flexible configuration of process control systems or plants allows draft changes or modifications to be made to parent process objects, e.g., in a configuration environment, without automatically triggering corresponding instantiations and/or downloads of the parent process objects and/or their derived children objects into a run-time system. Parent objects to which draft changes are allowed may include class objects, instance objects, and/or library objects. One or more modifications to a process object may be saved as a draft, and multiple drafts for a same process object may be saved as different versions. Children objects may indicate the particular version of a parent object draft from which they are derived. A user may indicate that a particular draft or version is to be published or approved. Unpublished or unapproved drafts are prevented from being instantiated in the run-time system, whereas published or approved drafts are allowed to be instantiated.

    Abstract translation: 过程控制系统或工厂的灵活配置允许对父进程对象进行草案更改或修改，例如在配置环境中，而不会自动触发父进程对象和/或其派生的子对象的相应实例和/或下载 一个运行时系统。 允许草案更改的父对象可能包括类对象，实例对象和/或库对象。 对过程对象的一个​​或多个修改可以保存为草稿，并且可以将相同过程对象的多个草案另存为不同的版本。 子对象可以指示从其导出的父对象草案的特定版本。 用户可能会指出特定的草稿或版本将被发布或批准。 未发布或未经批准的草案在运行时系统中被阻止实例化，而已发布或已批准的草案可以被实例化。

    REGIONAL BIG DATA IN PROCESS CONTROL SYSTEMS
    6.
    发明申请
    REGIONAL BIG DATA IN PROCESS CONTROL SYSTEMS 有权
    过程控制系统中的区域大数据

    公开(公告)号：US20160098021A1

    公开(公告)日：2016-04-07

    申请号：US14507188

    申请日：2014-10-06

    Applicant: FISHER-ROSEMOUNT SYSTEMS, INC.

    Inventor： Peter Zornio ,  Mark J. Nixon ,  Wilhelm K. Wojsznis ,  J. Michael Lucas ,  Eric D. Rotvold ,  Terrence L. Blevins ,  Paul Richard Muston ,  Gary K. Law

    IPC: G05B13/02 ,  G06N99/00

    CPC classification number: G05B13/0265 ,  G06F17/30 ,  G06N5/022 ,  G06N99/005

    Abstract: A regional big data node oversees or services, during real-time operations of a process plant or process control system, a respective region of a plurality of regions of the plant/system, where at least some of the regions each includes one or more process control devices that operate to control a process executed in the plant/system. The regional big data node is configured to receive and store, as big data, streamed data and learned knowledge that is generated, received, or observed by its respective region, and to perform one or more learning analyses on at least some of the stored data. As a result of the learning analyses, the regional big data node creates new learned knowledge which the regional big data node may use to modify operations in its respective region, and/or which the regional big data node may transmit to other big data nodes of the plant/system.

    Abstract translation: 区域大数据节点在过程工厂或过程控制系统的实时操作期间监督或服务工厂/系统的多个区域的相应区域，其中至少一些区域各自包括一个或多个过程 用于控制在工厂/系统中执行的过程的控制装置。 区域大数据节点被配置为接收和存储作为大数据的流数据和由其相应区域生成，接收或观察的知识，并且对至少一些所存储的数据执行一个或多个学习分析 。 作为学习分析的结果，区域大数据节点创建新的学习知识，区域大数据节点可以使用该知识来修改其各自区域中的操作，和/或区域大数据节点可以向其他大数据节点传送其他大数据节点 工厂/系统。

    AUTOMATIC SIGNAL PROCESSING-BASED LEARNING IN A PROCESS PLANT
    9.
    发明申请
    AUTOMATIC SIGNAL PROCESSING-BASED LEARNING IN A PROCESS PLANT 审中-公开
    一个过程工厂中基于自动信号处理的学习

    公开(公告)号：US20160098647A1

    公开(公告)日：2016-04-07

    申请号：US14507252

    申请日：2014-10-06

    Applicant: FISHER-ROSEMOUNT SYSTEMS, INC.

    Inventor： Mark J. Nixon ,  Peter Zornio ,  Wilhelm K. Wojsznis ,  J. Michael Lucas ,  Paul R. Muston ,  Eric D. Rotvold ,  Terrence L. Blevins

    IPC: G06N99/00 ,  G05B13/02

    CPC classification number: G06N99/005 ,  G05B13/0265

    Abstract: Techniques for automatically or autonomously performing signal processing-based learning in a process plant are disclosed. Generally, said techniques automatically or autonomously perform signal processing on a real-time signal that is generated based on the process plant controlling a process. Typically, the signal corresponds to a parameter value that varies over time, and the signal is processed as it is generated in real-time during on-line plant operations. Results of the signal processing may indicate characteristics of the signal, and one or more analytics functions may determine the sources of the characteristics, which may include a process element or device, a piece of equipment, and/or an asset of the process plant that is upstream, within the process, of the source of the signal. An autonomous signal processor may be integrated with or included in a process control device and/or a big data node of the process plant.

    Abstract translation: 公开了在过程工厂中自动或自主执行基于信号处理的学习的技术。 通常，所述技术自动或自主地对基于控制过程的处理设备生成的实时信号执行信号处理。 通常，信号对应于随时间而变化的参数值，并且在在线工厂操作期间实时地生成信号。 信号处理的结果可以指示信号的特征，并且一个或多个分析功能可以确定特征的源，其可以包括过程元件或设备，设备的一部分和/或过程工厂的资产， 在信号源的上游，在过程中。 自主信号处理器可以与处理工厂的过程控制设备和/或大数据节点集成或包括在其中。

    STREAMING DATA FOR ANALYTICS IN PROCESS CONTROL SYSTEMS
    10.
    发明申请
    STREAMING DATA FOR ANALYTICS IN PROCESS CONTROL SYSTEMS 审中-公开
    流程控制系统分析数据流

    公开(公告)号：US20160098388A1

    公开(公告)日：2016-04-07

    申请号：US14506863

    申请日：2014-10-06

    Applicant: FISHER-ROSEMOUNT SYSTEMS, INC.

    Inventor： Terrence L. Blevins ,  Mark J. Nixon ,  Ken J. Beoughter ,  Daniel D. Christensen ,  J. Michael Lucas ,  Paul R. Muston

    IPC: G06F17/27 ,  G06F17/30

    CPC classification number: G06F16/258 ,  G05B19/4185 ,  G06F16/254 ,  Y02P90/14 ,  Y02P90/18

    Abstract: Techniques for streaming big data in a process plant are disclosed. Generally, these techniques facilitate storage or communication of process control data, including alarms, parameters, events, and the like, in near real-time. Receivers of big data, such as big data historians or devices requesting specific data, are configured via an initial set of metadata, and thereafter receive updated metadata upon requesting it from the transmitting device, such as when the receiving device encounters an identifier in the data, which identifier was not defined in the metadata previously received.

    Abstract translation: 公开了用于在过程工厂中流式传输大数据的技术。 通常，这些技术近似实时地促进过程控制数据的存储或通信，包括报警，参数，事件等。 诸如大数据历史学家或者请求特定数据的设备的大数据的接收者通过一组初始元数据配置，然后在从发送设备请求它时接收更新的元数据，例如当接收设备在数据中遇到标识符时 ，哪个标识符未在先前接收到的元数据中定义。

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