Large-scale comprehensive real-time monitoring framework for industrial facilities

Abstract

A method includes associating multiple real-time applications with a framework. The real-time applications include applications for monitoring or controlling equipment in at least one industrial facility. Each application has at least one input variable and at least one output variable. The method also includes identifying relationships between the input and output variables of the applications to identify data dependencies. The method further includes receiving data updates at the framework and notifying at least one of the applications of the data updates based on the data dependencies to support data-driven operation of the framework. The data-driven operation of the framework provides data to the applications to support performance monitoring of the equipment, analysis of the equipment's operation, and / or identification of abnormal equipment conditions.

Description

technical field [0001] The present disclosure generally relates to control systems. More specifically, the present disclosure relates to a large-scale comprehensive real-time monitoring framework for industrial facilities. Background technique [0002] Process control systems are often used to manage treatment facilities. Exemplary processing facilities include manufacturing plants, chemical plants, crude oil refineries, and ore processing plants. Process control systems, among others, typically manage the use of industrial equipment in process facilities. [0003] Various process industries have seen continued growth in automation technology. However, integrating native and custom application components into a single control system is often challenging. This may be due to several factors, such as difficulty maintaining the sequence of calculations or rules to be evaluated during control of the processing facility. This becomes even more problematic when dealing with hi...

AI Technical Summary

Problems solved by technology

However, integrating native and custom application components into a single control system is often challenging

This may be due to several factors, such as difficulty maintaining the sequence of calculations or rules to be evaluated during the control processing facility

This becomes even more problematic when dealing with large applications with even larger amounts of calculations or rules

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