Big data in process control systems

Abstract

A big data network 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. Data receiver computing devices 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.

Description

technical field [0001] The present disclosure relates generally to process plants and process control systems, and more particularly to using big data in process plants and in process control systems. Background technique [0002] Distributed process control systems, such as those used in chemical, petroleum, or other process plants, typically include communicatively coupling to a Or one or more process controllers for multiple field devices. The field devices, which may be, for example, valves, valve positioners, switches and transmitters (such as temperature, pressure, level and flow rate sensors), are located within the process environment and typically perform physical or process control functions such as opening or closing valves, measuring process parameters etc. to control one or more processes performed within a process plant or system. Intelligent field devices, such as field devices conforming to the known Fieldbus protocol, can also perform control calculations,...

AI Technical Summary

Problems solved by technology

[0010] The currently known limitations of process plants and process control systems discussed above, as well as others, may arise inappropriately in the operation and optimization of process plants or process control systems, such as during plant operations, troubleshooting, and / or predictive modeling

For example, such limitations enforce tedious and lengthy workflows to obtain data for troubleshooting and generation of updated models

Also, the data obtained may not be accurate due to data compression, insufficient bandwidth, or shifted timestamps

[0011] "Big Data" generally refers to the collection of one or more data sets that are so large or complex that traditional database management tools and / or data processing applications (such as relational databases and desktop statistical packages) cannot manage the data set within the allowable amount of time

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