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    • 71. 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
    • 79. 发明授权
    • Recursive on-line wavelet data compression technique for use in data storage and communications
    • 递归在线小波数据压缩技术用于数据存储和通信
    • US06215907B1
    • 2001-04-10
    • US09105950
    • 1998-06-26
    • Shailesh KumarManish MisraS. Joe QinTerrence L. BlevinsRichard C. Seemann
    • Shailesh KumarManish MisraS. Joe QinTerrence L. BlevinsRichard C. Seemann
    • G06K936
    • H03M7/30H04N19/124H04N19/63H04N19/96
    • A recursive on-line wavelet data compression technique which may be used in, for example, a process control network, compresses a stream of data points on-line or in real-time (e.g., as the data arrives or is generated) without requiring the storage of a large amount of uncompressed data. The data compression system includes a data receiver that receives the data points in a sequential manner and a compression tree computation device that determines approximation coefficients and detail coefficients of a multi-layer wavelet compression tree from the received data points. The compression tree computation device determines all of the coefficients of the higher level layers of the compression tree that can be determined after the data receiver receives each of the data points to thereby perform on-line or real-time data compression. A memory stores the determined approximation coefficients of the compression tree, a comparator compares the determined detail coefficient magnitudes or other error measurements to one or more thresholds to determine if construction of the compression tree should be halted and a compression data generator selects a subset of the determined coefficients to create a set of compressed data corresponding to the received data points when the comparator determines that construction of the compression tree should be halted.
    • 可以在例如过程控制网络中使用的递归在线小波数据压缩技术在线或实时地压缩数据流流(例如,随着数据到达或被产生)而不需要 存储大量的未压缩数据。 数据压缩系统包括以顺序方式接收数据点的数据接收器和从所接收的数据点确定多层小波压缩树的近似系数和细节系数的压缩树计算装置。 压缩树计算装置确定在数据接收器接收到每个数据点之后可以确定的压缩树的较高级别的所有系数,从而执行在线或实时数据压缩。 存储器存储所确定的压缩树的近似系数,比较器将所确定的细节系数量值或其他误差测量值与一个或多个阈值进行比较,以确定是否停止压缩树的构造,并且压缩数据生成器选择 当比较器确定应该停止压缩树的构造时,确定系数以创建与所接收的数据点相对应的一组压缩数据。