Incident Report Interface for Highlighting Abnormal Plant Conditions
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Solution Overview
Problem
Operators in industrial facilities face overwhelming volumes of incident reports, making it difficult to identify potentially hazardous abnormal conditions in a timely manner due to insufficient time for thorough review.
Innovation Solution
A method for interpreting incident reports that parses and scores words and phrases, generating a user interface with visual indicators to highlight significant words, ranking scores, and flagging reports for review based on abnormal and normal condition scores, aiding operators in prioritizing actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If operators review all incident reports manually, then they can identify abnormal conditions, but they cannot keep up with the volume of reports in sufficient time
Solution Approach 1:
The patent introduces an automated analysis system that acts as an intermediary between incident reports and operators. This system parses reports, generates abnormal condition scores, and highlights key phrases, allowing operators to review prioritized results rather than all raw reports, thus maintaining identification accuracy while reducing review time
Solution Approach 2:
The patent replaces the manual mechanical review process with an automated computational system that uses natural language processing, scoring algorithms, and visual highlighting to analyze incident reports, enabling rapid processing of large volumes while preserving the ability to identify abnormal conditions
2Loss of time
If operators review only a subset of incident reports, then they save time, but they may miss hazardous abnormal conditions
Solution Approach 1:
The patent performs preliminary automated analysis of all incident reports before operator review, generating abnormal condition scores and highlighting potentially hazardous phrases in advance. This pre-processing ensures that operators review only the most relevant reports with already-identified risk indicators, maintaining detection reliability while reducing review time
Solution Approach 2:
The patent transforms incident report data into quantified abnormal condition scores and prioritized rankings, changing the parameter representation from unstructured text to scored metrics. This transformation enables reliable identification of hazardous conditions through objective scoring while allowing efficient filtering and prioritization
3Measurement precision
If the system analyzes all words in all incident reports, then it identifies all potential abnormalities, but it creates overwhelming information for operators
Solution Approach 1:
The patent extracts and highlights only the most relevant phrases and words from incident reports that contribute to abnormal condition scores, separating critical information from unnecessary text. This extraction presents only essential findings to operators, maintaining detection accuracy while reducing information complexity
Solution Approach 2:
The patent applies different visual treatments to different parts of incident reports based on their relevance, highlighting potentially hazardous phrases with special formatting while leaving other text unformatted. This selective emphasis maintains comprehensive analysis capability while presenting information in a simplified, prioritized manner
Data Source
AI summary
A method for interpreting incident reports parses an incident report. The method determines abnormal condition scores, each abnormal condition score corresponding to at least one parsed word of the incident report. The method determines normal condition scores, each normal condition score corresponding to at least one parsed word of the incident report. The method generates a user interface having a visual representation of the incident report. The method marks a set of parsed words corresponding to a portion of the abnormal condition scores using a first visual indicator. The method marks another set of parsed words corresponding to a portion of normal condition scores using a second visual indicator.