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    • 12. 发明申请
    • Non-Intrusive Data Analytics in a Process Control System
    • 过程控制系统中的非侵入性数据分析
    • US20150005903A1
    • 2015-01-01
    • US13931341
    • 2013-06-28
    • Christopher J. WorekTerrence L. BlevinsRobert B. HavekostDirk Thiele
    • Christopher J. WorekTerrence L. BlevinsRobert B. HavekostDirk Thiele
    • G05B13/04
    • G05B19/41885G05B2219/31357G05B2219/31472Y02P90/14Y02P90/22Y02P90/26
    • An on-line data analytics device can be installed in a process control system as a standalone device that operates in parallel with, but non-intrusively with respect to, the on-line control system to perform on-line analytics for a process without requiring the process control system to be reconfigured or recertified. The data analytics device includes a data analytics engine coupled to a logic engine that receives process data collected from the process control system in a non-intrusive manner. The logic engine operates to determine further process variable values not generated within the process control system and provides the collected process variable data and the further process variable values to the data analytics engine. The data analytics engine executes statistically based process models, such as batch models, stage models, and phase models, to produce a predicted process variable, such as an end of stage or end of batch quality variable for use in analyzing the operation of the on-line process.
    • 在线数据分析设备可以作为独立设备安装在过程控制系统中,该设备与在线控制系统并行运行,但是非侵入式地在线控制系统上进行流程的在线分析,而不需要 要重新配置或重新认证的过程控制系统。 数据分析设备包括耦合到逻辑引擎的数据分析引擎,其以非侵入方式接收从过程控制系统收集的过程数据。 逻辑引擎操作以确定在过程控制系统内未生成的另外的过程变量值,并将收集的过程变量数据和进一步的过程变量值提供给数据分析引擎。 数据分析引擎执行基于统计的过程模型,例如批量模型,阶段模型和阶段模型,以产生预测的过程变量,例如用于分析操作的批次质量变量的阶段或结束的结束 线程过程