Control System Health Assessment via Rule-Based Data Analysis
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Solution Overview
Problem
Control systems, particularly in industrial settings, face challenges in predicting and maintaining reliability due to their complexity, leading to time-consuming and difficult recognition of operational issues, which often results in unexpected stoppages and maintenance events.
Innovation Solution
A system comprising a data collection module, configuration management, a rule engine, and a report generator that analyzes data using health assessment rules to provide real-time or near real-time health assessments and recommendations for maintenance, enabling proactive upgrades and replacements, thus minimizing process stoppages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If control systems include numerous interrelated components and subsystems to perform required functions, then system functionality and versatility are improved, but recognizing or predicting reliability becomes difficult and time-consuming
Solution Approach 1:
The patent segments the complex control system into multiple manageable components including data collection module, configuration management system, rule engine, and report generator. Each component handles specific aspects of health assessment, making the overall system analysis more tractable and less time-consuming while maintaining comprehensive functionality.
2Adaptability or versatility
If control systems include numerous interrelated components and subsystems, then system functionality is improved, but recognition of operational issues becomes time-consuming
Solution Approach 1:
The system performs preliminary health assessments by continuously collecting data from control system components and evaluating it against predefined rules before actual failures occur. This proactive approach identifies potential issues early, reducing the time needed to recognize and address operational problems while maintaining comprehensive system monitoring.
3Device complexity
If traditional monitoring approaches are used, then device complexity is minimized, but unexpected stoppages and maintenance events increase
Solution Approach 1:
The patent implements a feedback mechanism where the rule engine continuously evaluates collected data against predefined rules and generates health assessments that feed back into the monitoring system. This closed-loop feedback enables the system to adaptively identify trends and predict failures, improving reliability through proactive maintenance while maintaining manageable complexity through automated rule-based evaluation.
Data Source
AI summary
In one embodiment, a system includes a data collection system configured to collect a data from a control system. The system further includes a configuration management system configured to manage a hardware configuration and a software configuration for the control system based on the data. The system additionally includes a rule engine configured to use the data as input and to output a health assessment by using a rule database, and a report generator configured to provide a health assessment for the control system.