Plant Procedure Compliance Verification System
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Solution Overview
Problem
Developing and maintaining accurate and compliant plant procedures across diverse industrial plants is challenging due to the complexity of integrating technical and human performance aspects, with existing natural language processing technologies often leading to errors and inconsistencies in procedure writing.
Innovation Solution
A system comprising an information extraction module that extracts significant syntactic and semantic information from procedure documents and a compliance verification module that checks each sentence against regulated writing guidelines, using extended natural language processing and ontology-based rules to identify and correct errors, ensuring coherence and adherence to guidelines aimed at enhancing human performance quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a large number of people with diverse backgrounds are involved in developing and maintaining procedures, then the procedures can reflect diverse technical knowledge and experiences, but it becomes difficult to maintain consistent compliance with writing guidelines and human performance quality standards
Solution Approach 1:
The patent introduces an automated compliance verification system as an intermediary between diverse procedure authors and writing guidelines. This system uses natural language processing to extract semantic information from procedures and automatically verify compliance with writing manual requirements, acting as a mediator that ensures consistent application of guidelines regardless of the author's background or expertise level.
Solution Approach 2:
The patent replaces the manual mechanical review process by expert procedure writers with an automated computational system. The system uses NLP technology to perform semantic analysis and compliance verification, substituting human expert review with an automated mechanism that can consistently evaluate procedures against writing guidelines without fatigue or variability.
2Reliability
If expert procedure writers manually review procedures for compliance with writing manuals, then human judgment can identify subtle issues, but the process becomes time-consuming and difficult to scale to large volumes of procedures
Solution Approach 1:
The patent replaces manual expert review with an automated NLP-based compliance verification system. This system uses computational algorithms to perform semantic analysis and guideline compliance checking, maintaining high reliability through sophisticated language understanding while dramatically improving productivity by processing procedures automatically without human intervention.
Solution Approach 2:
The patent creates a computational model that copies and replicates the expert review process through NLP technology. The system learns from writing guidelines and procedure examples to build a model that can automatically evaluate new procedures, replicating expert judgment capabilities at scale through software rather than requiring multiple human experts.
3Productivity
If existing NLP technologies are used to extract information from procedures, then automated processing can be achieved, but errors and inconsistencies occur in information extraction
Solution Approach 1:
The patent implements feedback mechanisms where the compliance verification system analyzes extraction results and provides feedback for improvement. The system uses the outcomes of compliance checks to refine and adjust the NLP extraction processes, creating a closed-loop system that continuously improves extraction accuracy based on verification feedback and identified errors.
Solution Approach 2:
The patent performs preliminary information extraction using NLP technology before compliance verification, then uses the verification results to identify and correct extraction errors. By performing extraction first and then verifying with feedback, the system can preliminarily process large volumes of procedures efficiently while subsequently improving accuracy through error identification and correction cycles.
Data Source
AI summary
The present invention provides methods and systems for the verification of industrial plant procedures on their compliance to writing manuals. Specific guidelines described in a procedure writing manual are aimed to improve human performance quality of plant personnel. The present invention extracts all significant syntactic and semantic information from procedure documents and verifies each sentence (or phrase) in procedures whether it conforms to all guidelines of the regulated procedure writing manual, utilizing the extracted information. Therefore, the present invention provides procedures free from human error traps to fundamentally prevent an incident incurred from a human error, for the safe and efficient operation of industrial plants.