Data modeling studio
    1.
    发明授权

    公开(公告)号:US10296668B2

    公开(公告)日:2019-05-21

    申请号:US14216774

    申请日:2014-03-17

    摘要: A data modeling studio provides a structured environment for graphically creating and executing models which may be configured for diagnosis, prognosis, analysis, identifying relationships, etc., within a process plant. The data modeling studio includes a configuration engine for generating user interface elements to facilitate graphical construction of a model and a runtime engine for executing data models in, for example, an offline or an on-line environment. The configuration engine includes an interface routine that generates user interface elements, a plurality of templates stored in memory that serve as the building blocks of the model and a model compiler that converts the graphical model into a data format executable by the run-time engine. The run time engine executes the model to produce the desired output and may include a retrieval routine for retrieving data corresponding to the templates from memory and a modeling routine for executing the executable model.

    Commissioning field devices in a process control system supported by big data
    2.
    发明授权
    Commissioning field devices in a process control system supported by big data 有权
    在大数据支持的过程控制系统中调试现场设备

    公开(公告)号:US09588514B2

    公开(公告)日:2017-03-07

    申请号:US14605304

    申请日:2015-01-26

    IPC分类号: H01L21/00 G05B19/418

    摘要: Techniques for determining device-specific information such as commissioning data, location information, images, and other data descriptive of a process device installed in a plant include obtaining the device-specific information at a local device during the process device's commissioning. Based on this information, the local device determines the relative order of the process device within a process flow, and may determine a process element alignment map indicating the activation order of a plurality of process elements within the flow. A user may modify the map at the local device. The map is transmitted to a process control big data network for use in discovery and learning analytics. The device-specific information and/or the map may be utilized to generate, at the local device, representations/views of the process flow, which may include real-time operational data. A user may zoom in or out on these views for more or less detail.

    摘要翻译: 用于确定诸如调试数据,位置信息,图像和描述安装在工厂中的过程装置的其它数据的设备特定信息的技术包括在处理设备调试期间在本地设备处获取设备特定信息。 基于该信息,本地设备确定处理流程内的处理设备的相对顺序,并且可以确定指示流内的多个处理元件的激活顺序的过程元素对齐图。 用户可以在本地设备上修改地图。 地图被传输到过程控制大数据网络,用于发现和学习分析。 可以利用设备特定信息和/或地图在本地设备处生成可包括实时操作数据的过程流的表示/视图。 用户可以放大或缩小这些视图或多或少的细节。

    COLLECTING AND DELIVERING DATA TO A BIG DATA MACHINE IN A PROCESS CONTROL SYSTEM
    3.
    发明申请
    COLLECTING AND DELIVERING DATA TO A BIG DATA MACHINE IN A PROCESS CONTROL SYSTEM 审中-公开
    收集和传送数据到过程控制系统中的大数据机器

    公开(公告)号:US20140277656A1

    公开(公告)日:2014-09-18

    申请号:US14174413

    申请日:2014-02-06

    IPC分类号: G05B19/418 G06F15/173

    摘要: A device supporting big data in a process plant includes an interface to a communications network, a cache configured to store data observed by the device, and a multi-processing element processor to cause the data to be cached and transmitted (e.g., streamed) for historization at a unitary, logical centralized data storage area. The data storage area stores multiple types of process control or plant data using a common format. The device time-stamps the cached data, and, in some cases, all data that is generated or created by or received at the device may be cached and/or streamed. The device may be a field device, a controller, an input/output device, a network management device, a user interface device, or a historian device, and the device may be a node of a network supporting big data in the process plant. Multiple devices in the network may support layered or leveled caching of data.

    摘要翻译: 在过程工厂中支持大数据的设备包括到通信网络的接口,被配置为存储由设备观察到的数据的高速缓存以及用于使数据被高速缓存和发送(例如,流传输)的多处理元件处理器, 历史化在一个统一的逻辑集中式数据存储区域。 数据存储区域使用通用格式存储多种类型的过程控制或工厂数据。 该设备对缓存的数据进行时间标记,并且在某些情况下,可能会缓存和/或流式传输由设备生成或接收的所有数据。 该设备可以是现场设备,控制器,输入/输出设备,网络管理设备,用户接口设备或历史设备,并且设备可以是支持处理设备中的大数据的网络的节点。 网络中的多个设备可能支持数据的分层或级别缓存。

    Commissioning field devices in a process control system supported by big data

    公开(公告)号:US10545489B2

    公开(公告)日:2020-01-28

    申请号:US15431341

    申请日:2017-02-13

    IPC分类号: G05B19/418 G06N20/00

    摘要: Techniques for determining device-specific information such as commissioning data, location information, images, and other data descriptive of a process device installed in a plant include obtaining the device-specific information at a local device during the process device's commissioning. Based on this information, the local device determines the relative order of the process device within a process flow, and may determine a process element alignment map indicating the activation order of a plurality of process elements within the flow. A user may modify the map at the local device. The map is transmitted to a process control big data network for use in discovery and learning analytics. The device-specific information and/or the map may be utilized to generate, at the local device, representations/views of the process flow, which may include real-time operational data. A user may zoom in or out on these views for more or less detail.

    Big data in process control systems
    5.
    发明授权
    Big data in process control systems 有权
    过程控制系统中的大数据

    公开(公告)号:US09558220B2

    公开(公告)日:2017-01-31

    申请号:US13784041

    申请日:2013-03-04

    摘要: A big data network or system for a process control system or plant includes a big data apparatus including a data storage area configured to store, using a common data schema, multiple types of process data and/or plant data (such as configuration and real-time data) that is used in, generated by or received by the process control system, and one or more data receiver computing devices to receive the data from multiple nodes or devices. The data may be cached and time-stamped at the nodes and streamed to the big data apparatus for storage. The process control system big data system provides services and/or data analyzes to automatically or manually discover prescriptive and/or predictive knowledge, and to determine, based on the discovered knowledge, changes and/or additions to the process control system and to the set of services and/or analyzes to optimize the process control system or plant.

    摘要翻译: 用于过程控制系统或工厂的大数据网络或系统包括大数据设备,其包括数据存储区域,其被配置为使用公共数据模式来存储多种类型的过程数据和/或工厂数据(诸如配置和实时数据 时间数据),以及用于从多个节点或设备接收数据的一个或多个数据接收机计算设备。 数据可以在节点处被高速缓存和时间戳,并且被流式传输到大数据设备以进行存储。 过程控制系统大数据系统提供服务和/或数据分析以自动或手动地发现规定性和/或预测知识,并且基于所发现的知识来确定过程控制系统和集合的变化和/或添加 的服务和/或分析,以优化过程控制系统或工厂。

    Data modeling studio
    6.
    发明授权

    公开(公告)号:US09740802B2

    公开(公告)日:2017-08-22

    申请号:US14216823

    申请日:2014-03-17

    摘要: A data modeling studio provides a structured environment for graphically creating and executing models which may be configured for diagnosis, prognosis, analysis, identifying relationships, etc., within a process plant. The data modeling studio includes a configuration engine for generating user interface elements to facilitate graphical construction of a model and a runtime engine for executing data models in, for example, an offline or an on-line environment. The configuration engine includes an interface routine that generates user interface elements, a plurality of templates stored in memory that serve as the building blocks of the model and a model compiler that converts the graphical model into a data format executable by the run-time engine. The run time engine executes the model to produce the desired output and may include a retrieval routine for retrieving data corresponding to the templates from memory and a modeling routine for executing the executable model.

    COMMISSIONING FIELD DEVICES IN A PROCESS CONTROL SYSTEM SUPPORTED BY BIG DATA
    7.
    发明申请
    COMMISSIONING FIELD DEVICES IN A PROCESS CONTROL SYSTEM SUPPORTED BY BIG DATA 有权
    由大数据支持的过程控制系统中的调试现场设备

    公开(公告)号:US20160216706A1

    公开(公告)日:2016-07-28

    申请号:US14605304

    申请日:2015-01-26

    IPC分类号: G05B19/418

    摘要: Techniques for determining device-specific information such as commissioning data, location information, images, and other data descriptive of a process device installed in a plant include obtaining the device-specific information at a local device during the process device's commissioning. Based on this information, the local device determines the relative order of the process device within a process flow, and may determine a process element alignment map indicating the activation order of a plurality of process elements within the flow. A user may modify the map at the local device. The map is transmitted to a process control big data network for use in discovery and learning analytics. The device-specific information and/or the map may be utilized to generate, at the local device, representations/views of the process flow, which may include real-time operational data. A user may zoom in or out on these views for more or less detail.

    摘要翻译: 用于确定设备特定信息的技术,例如调试数据,位置信息,图像和描述安装在工厂中的过程设备的其他数据包括在处理设备的调试期间在本地设备处获取设备特定信息。 基于该信息,本地设备确定处理流程内的处理设备的相对顺序,并且可以确定指示流内的多个处理元件的激活顺序的过程元素对齐图。 用户可以在本地设备上修改地图。 地图被传输到过程控制大数据网络,用于发现和学习分析。 可以利用设备特定信息和/或地图在本地设备处生成可包括实时操作数据的过程流的表示/视图。 用户可以放大或缩小这些视图或多或少的细节。

    Collecting and delivering data to a big data machine in a process control system

    公开(公告)号:US10223327B2

    公开(公告)日:2019-03-05

    申请号:US14174413

    申请日:2014-02-06

    摘要: A device supporting big data in a process plant includes an interface to a communications network, a cache configured to store data observed by the device, and a multi-processing element processor to cause the data to be cached and transmitted (e.g., streamed) for historization at a unitary, logical centralized data storage area. The data storage area stores multiple types of process control or plant data using a common format. The device time-stamps the cached data, and, in some cases, all data that is generated or created by or received at the device may be cached and/or streamed. The device may be a field device, a controller, an input/output device, a network management device, a user interface device, or a historian device, and the device may be a node of a network supporting big data in the process plant. Multiple devices in the network may support layered or leveled caching of data.

    BIG DATA IN PROCESS CONTROL SYSTEMS
    10.
    发明申请
    BIG DATA IN PROCESS CONTROL SYSTEMS 有权
    过程控制系统中的大数据

    公开(公告)号:US20140250153A1

    公开(公告)日:2014-09-04

    申请号:US13784041

    申请日:2013-03-04

    IPC分类号: G06F17/30

    摘要: A big data network or system for a process control system or plant includes a big data apparatus including a data storage area configured to store, using a common data schema, multiple types of process data and/or plant data (such as configuration and real-time data) that is used in, generated by or received by the process control system, and one or more data receiver computing devices to receive the data from multiple nodes or devices. The data may be cached and time-stamped at the nodes and streamed to the big data apparatus for storage. The process control system big data system provides services and/or data analyses to automatically or manually discover prescriptive and/or predictive knowledge, and to determine, based on the discovered knowledge, changes and/or additions to the process control system and to the set of services and/or analyses to optimize the process control system or plant.

    摘要翻译: 用于过程控制系统或工厂的大数据网络或系统包括大数据设备,其包括数据存储区域,其被配置为使用公共数据模式来存储多种类型的过程数据和/或工厂数据(诸如配置和实时数据 时间数据),以及用于从多个节点或设备接收数据的一个或多个数据接收机计算设备。 数据可以在节点处被高速缓存和时间戳,并且被流式传输到大数据设备以进行存储。 过程控制系统大数据系统提供服务和/或数据分析以自动或手动地发现规定性和/或预测知识,并且基于所发现的知识来确定过程控制系统和集合的变化和/或添加 的服务和/或分析,以优化过程控制系统或工厂。