Fault Information Retrieval for SCADA and PLC Alarm Diagnosis
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Solution Overview
Problem
Fault identification in control systems, such as SCADA and PLC, is time-consuming due to the need for specialist knowledge and tools, and the lack of a logical link between entities providing solutions, leading to prolonged downtime and high costs.
Innovation Solution
An information retrieval system that automates the analysis of alarms, retrieves relevant drawings and data sheets, and provides configuration files, allowing operators to identify faults without specialist knowledge, through integrated or cloud-based interfaces with hyperlinked diagrammatic and datasheet information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual fault finding procedures are used with knowledge bases and maintenance personnel skills, then fault identification can be performed, but the process is very time-consuming and depends heavily on available skills
Solution Approach 1:
The system introduces an intermediary software layer that automatically retrieves and presents relevant fault information, drawings, and data sheets to operators. This intermediary system bridges the gap between available maintenance skills and comprehensive fault diagnosis capabilities, eliminating the need for manual searching through knowledge bases and documentation.
Solution Approach 2:
The system performs preliminary actions by pre-organizing and storing all relevant fault information, drawings, and data sheets in an easily accessible format. When a fault occurs, the system immediately retrieves the relevant pre-prepared information, eliminating the time required for manual document retrieval and preparation.
2Reliability
If multiple disciplines and specialist knowledge are involved in fault finding, then comprehensive fault analysis is achieved, but the process becomes complex and time-consuming
Solution Approach 1:
The system provides universal access to comprehensive fault analysis capabilities for all operators, regardless of their specific disciplinary expertise. A single integrated interface delivers electrical, instrumentation, and process information together, eliminating the need for multiple specialist interventions and simplifying the overall process.
Solution Approach 2:
The system merges previously separate information sources (fault knowledge bases, drawings, data sheets, and multi-disciplinary expertise) into a single integrated interface. This consolidation presents all relevant information together in one location, reducing process complexity while maintaining comprehensive analysis capabilities.
3Measurement precision
If detailed analysis of alarms and retrieval of drawings and data sheets is performed manually, then accurate fault identification is possible, but significant time is lost in steps 1-4 of the fault finding process
Solution Approach 1:
The system replaces manual mechanical processes (physical document retrieval, manual alarm analysis, hand-held tool measurements) with automated electronic information retrieval and processing. The system automatically analyzes alarms, retrieves relevant drawings and data sheets, and presents integrated diagnostic information, maintaining accuracy while dramatically reducing the time required for each fault finding step.
Data Source
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AI summary
An information retrieval system (1) for use with a control system (10) in a plant having processes and/or pieces of equipment, the control system (10) connected with at least one input component and/or at least one output component for monitoring and controlling the processes and the pieces of equipment, the control system enabled to produce state indications (12) from the input and output components indicating potential fault in one or more of: at least one input and/or output component; at least one process; at least one piece of equipment; a part of the control system (10); or, a part of the plant.