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    • 6. 发明授权
    • Multi-stage process modeling method
    • 多阶段过程建模方法
    • US09158295B2
    • 2015-10-13
    • US13113044
    • 2011-05-21
    • Terrence L. BlevinsWilhelm K. WojsznisChristopher J. WorekMark Nixon
    • Terrence L. BlevinsWilhelm K. WojsznisChristopher J. WorekMark Nixon
    • G06G7/48G05B17/02
    • G05B17/02G05B2219/31265G05B2219/32077
    • A process is modeled by resolving the process into a plurality of process stages, including at least a first process stage and a second process stage, and developing a plurality of models, each model corresponding to a respective one of the plurality of process stages, wherein the model corresponding to each process stage is developed using data from one or more runs of that process stage and output quality data relating to the one or more runs of that process stage and wherein the model corresponding to each process stage is adapted to produce an output quality prediction associated with that process stage, and wherein the output quality prediction produced by the model of a first one of the process stages is used to develop the model of a second one of the process stages.
    • 通过将过程解析成多个处理阶段(包括至少第一处理阶段和第二处理阶段)以及开发多个模型来建模过程,每个模型对应于多个处理阶段中的相应一个,其中 使用来自该过程级的一个或多个运行的数据和与该过程阶段的一个或多个运行相关的输出质量数据来开发与每个过程阶段相对应的模型,并且其中与每个过程阶段对应的模型适于产生输出 与该处理阶段相关联的质量预测,并且其中由第一个进程阶段的模型产生的输出质量预测用于开发第二个进程阶段的模型。
    • 7. 发明申请
    • Compact Batch Viewing Techniques for use in Batch Processes
    • 用于批处理的紧凑批量查看技术
    • US20080066019A1
    • 2008-03-13
    • US11531457
    • 2006-09-13
    • Christopher J. WorekBruce CampneyWilliam G. IrwinChristopher Felts
    • Christopher J. WorekBruce CampneyWilliam G. IrwinChristopher Felts
    • G05B15/00
    • G05B19/4183G05B2219/31288G05B2219/31318G05B2219/31474Y02P90/10Y02P90/14Y02P90/18Y02P90/185
    • A data collection and viewing application associated with a batch process control system used within a process plant provides a user interface that allows a user to quickly and easily examine a particular batch process or a batch run, to compare separate batch runs and/or to determine whether the particular batch run deviates from a norm, without having to perform a lot of manual data manipulation. To this end, the user interface provides or creates a compact graphical representation of a batch, illustrating a number of different types of batch-related data in relation to one another in a manner that enables a user to easily view or understand the operation of the batch run, either alone or as compared with one or more other batch runs. Generally speaking, the compact batch view includes a number of graphical layers which are juxtaposed or interleaved on a display, with each of the layers providing different types of information about the operation of the batch, time synchronized with one another. A base layer of the compact batch view may describe or indicate the duration of the batch from an activate time to a deactivate time, while different aspects of the procedural elements, steps or stages of the batch process, such as those identified by the S88 standard, may be illustrated in one or more additional layers. Moreover, process alarms, alerts, events, etc. as well as other information may be placed in one or more additional layers, and the various layers may be shown together to provide a compact graphical view of the batch.
    • 与过程工厂中使用的批处理控制系统相关联的数据收集和查看应用程序提供用户界面,其允许用户快速且容易地检查特定的批处理或批次运行,以比较分开的批运行和/或确定 特定的批次运行是否偏离了规范,而不必执行大量的手动数据操作。 为此,用户界面提供或创建批量的紧凑的图形表示,以相对于彼此的方式示出了许多不同类型的批次相关数据,使得用户能够容易地查看或理解批处理相关数据的操作 批次运行,单独运行或与一个或多个其他批次运行相比。 一般来说,紧凑批量视图包括在显示器上并列或交错的多个图形层,其中每个层提供关于批次的操作的不同类型的信息,彼此间同步。 紧凑批次视图的基层可以描述或指示从激活时间到停用时间的批次的持续时间,而批处理过程的程序元素,步骤或阶段的不同方面,诸如由S88标准识别的那些 可以在一个或多个附加层中示出。 此外,可以将过程报警,警报,事件等以及其他信息放置在一个或多个附加层中,并且可以一起示出各个层以提供该批次的紧凑的图形视图。
    • 9. 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