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Data pipeline for process control system anaytics

A process control and data pipeline technology, applied in general control systems, control/regulation systems, program control, etc., can solve problems such as troubleshooting results and incomplete models, inability to manage data sets, incomplete representation, etc.

Active Publication Date: 2017-05-31
FISHER-ROSEMOUNT SYST INC
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Even then, troubleshooting results and models may not be complete or fully representative of actual systems, since the inputs to their generation depend on the experience and knowledge of specific operators
[0012] "Big data" generally refers to a collection of one or more data sets that are so large or complex that traditional database management tools and / or data processing applications (e.g., relational databases and These data sets cannot be managed within the time

Method used

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  • Data pipeline for process control system anaytics
  • Data pipeline for process control system anaytics
  • Data pipeline for process control system anaytics

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Embodiment Construction

[0043] Techniques, systems, and methods for automatically or autonomously performing signal processing-based learning in a process plant or process control system include creating and using one or more data pipelines as an infrastructure on which to perform in real-time or in an online plant network Signal Processing Based Learning. Generally, these techniques, systems and methods enable automatic or autonomous analysis of data generated as a result of the operation of control systems or monitoring systems within a process plant and based on maintenance activities or maintenance data, monitoring data, equipment data, business or planning data, etc. (eg, signal) performs signal processing or applies signal processing to it. Typically, the data or signals operated by the data pipeline represent parameter values ​​that vary over time based on the control, maintenance, monitoring, etc. of the process. Thus, as used herein, the term "signal" generally refers to a time series of pa...

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Abstract

A data pipeline is used as a fundamental processing element for implementing techniques that automatically or autonomously perform signal processing-based learning in a process plant or monitoring system. Each data pipeline includes a set of communicatively interconnected data processing blocks that perform processing on one or more sources of data in a predetermined order to, for example, clean the data, filter the data, select data for further processing, perform supervised or unsupervised learning on the data, etc. The individual processing blocks or modules within a data pipeline may be stored and executed at different devices in a plant network to perform distributed data processing. Moreover, each data pipeline can be integrated into one or more higher level analytic modules that perform higher level analytics, such as quality prediction, fault detection, etc. on the processed data. The use of data pipelines within a plant network enables data collected within a plant control or monitoring system to be processed automatically and used in various higher level analytic modules within the plant during ongoing operation of the plant.

Description

[0001] Cross References to Related Applications [0002] This is a conventionally filed application claiming priority and benefit to U.S. Provisional Patent Application Serial No. 62 / 060,408, filed October 6, 2014, entitled "Data Pipeline for Process Control System Analysis," the full disclosure of which is at This is expressly incorporated herein by reference. [0003] This application is also related to U.S. Patent Application No. 13 / 784,041, filed March 3, 2013, entitled "BIG DATA IN PROCESS CONTROL SYSTEMS"; LOCATION AWARE MOBILE CONTROLDEVICES" U.S. Patent Application No. 14 / 028,785; U.S. Patent Application No. 14 / 174,413 entitled "COLLECTING ANDDELIVERING DATA TO A BIG DATA MACHINE IN A PROCESS CONTROL SYSTEM" filed on February 6, 2014; U.S. Patent Application No. 14 / 212,493, filed March 14, 2014, entitled "DISTRIBUTED BIG DATA IN A PROCESSCONTROL SYSTEM"; PROCESS," U.S. Patent Application No. 14 / 212,411; and U.S. Patent Application No. 14 / 216,823, filed March 17, 2014, ...

Claims

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Application Information

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IPC IPC(8): G05B19/042G05B19/418
CPCG05B19/0421G05B19/4185G05B2219/33333G05B2219/25232G05B2219/31094G05B2219/31211G05B2219/31324Y02P90/02G05B19/41835G05B19/418G05B19/41855H04L67/10H04L43/045H04L41/0803G05B2219/31124
Inventor P·佐尔尼欧M·J·尼克松W·K·沃杰茨尼斯M·J·卢卡斯E·D·罗特沃尔德P·R·穆斯顿T·L·布莱文斯G·K·劳
Owner FISHER-ROSEMOUNT SYST INC
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