Safety PLC Validation Through Simulated LOPA Hazard Analysis
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Solution Overview
Problem
Current methods for programming safety PLCs in Safety Instrumented Systems lack efficiency and accuracy in automating hazard analysis and validation, relying heavily on human intervention and potentially missing critical safety requirements.
Innovation Solution
An AI-based system that simulates industrial processes using a process model, employing multi-agent interactions to identify hazards and introduce protective mechanisms, generating safety requirements and validating the safety PLC application program to prevent hazards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated hazard analysis and validation methods are implemented, then productivity and accuracy are improved, but device complexity increases
Solution Approach 1:
The patent introduces an AI-based intermediary system that mediates between the process hazard analysis tool and the simulation tool. This intermediary automatically processes hazard scenarios, evaluates protective mechanisms, and generates validation results, thereby improving productivity while managing system complexity through automation rather than manual coordination of multiple tools
Solution Approach 2:
The patent replaces manual mechanical processes of hazard analysis and validation with an AI-based automated system. The AI agent automatically creates hazard scenarios, simulates protective mechanisms, and validates safety requirements, substituting human operators and manual procedures with intelligent automation to improve efficiency and accuracy
2Reliability
If manual hazard analysis and validation are performed, then device complexity is reduced, but reliability and measurement precision deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where the AI-based system automatically validates safety requirements against simulated hazard scenarios and provides feedback on their effectiveness. The system evaluates whether protective mechanisms adequately prevent hazards and iteratively refines validation, thereby improving reliability through systematic feedback loops rather than single-pass manual review
Solution Approach 2:
The patent performs preliminary actions by automatically generating comprehensive hazard scenarios and testing protective mechanisms before final safety validation. The AI system proactively identifies potential hazards and validates protection strategies in advance, ensuring thoroughness and accuracy while managing complexity through automated preprocessing and scenario generation
Data Source
AI summary
A method is provided for automatically or semi-automatically analyzing process hazards and validating protection mechanisms for an industrial process. The method can involve establishing communication between a simulation tool and a process hazard analysis tool. The simulation tool simulates operation of the process according to a process model. The method can further involve creating, using the process hazard analysis tool, conditions for hazards in the process based on information learned about the industrial process from the simulation tool; for each of the hazards, simulating the hazards using the simulation tool and attempting to prevent the hazards using the process hazard analysis tool by introducing protective mechanism(s) to the process; and evaluating effectiveness of the introduced protective mechanisms for each of the hazards and creating safety requirements for the process based on the evaluated effectiveness. The safety requirements are used to generate a safety application program, such as for a PLC.