Electronic Device Incident Validation and Similarity Matching
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Solution Overview
Problem
Existing systems face challenges in determining the validity of reported incidents and efficiently providing appropriate response measures to on-site managers, often leading to inappropriate handling due to time delays and false reports.
Innovation Solution
An electronic device and method that receive new incident information and reporter data, determine the validity of the report, and if true, compare it to past incident data to find similar incidents, providing relevant response information based on regulation updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If incident response measures are found based on reported incident information, then on-site managers can make decisions, but time delays occur and false reports cause inappropriate handling
Solution Approach 1:
The system performs preliminary validation of incident reports by comparing reported incidents against historical incident patterns and false report indicators before generating response measures. This preliminary action filters out false reports early in the process, preventing wasted time on inappropriate responses while maintaining quick access to valid incidents.
Solution Approach 2:
The system introduces an intermediary validation layer between incident reporting and response generation. This intermediary component analyzes report characteristics, compares with historical data, and determines report validity before proceeding to find response measures, thus resolving the contradiction between speed and accuracy.
2Measurement precision
If similar incident information is provided based on text comparison, then response accuracy improves, but system complexity increases
Solution Approach 1:
The system transforms unstructured incident text into structured parameters and features that can be efficiently compared. By changing the representation parameters of incident data (e.g., extracting key entities, locations, times), the system achieves precise similarity measurement without requiring complex full-text comparison algorithms.
Solution Approach 2:
The incident comparison process is segmented into distinct stages: text preprocessing, feature extraction, similarity calculation, and result ranking. This segmentation allows each component to be optimized independently, reducing overall system complexity while maintaining measurement precision.
3Reliability
If false reports are filtered using deep learning models, then report validity determination improves, but processing time increases
Solution Approach 1:
The system applies deep learning-based false report detection selectively to reports that exhibit certain risk indicators or ambiguous characteristics, rather than processing all reports equally. This partial application of complex analysis maintains high detection accuracy for problematic reports while preserving fast processing for clearly valid incidents.
Solution Approach 2:
The system uses feedback from historical validation results to continuously improve false report detection. By learning from past cases where reports were confirmed as false or valid, the system refines its detection algorithms over time, improving accuracy without requiring increasingly complex processing for each new report.
Data Source
AI summary
Provided are an electronic device for providing similar incident information about a reported incident and an operating method of the electronic device, in which the operating method includes receiving new incident information and reporter information about a reported new incident, determining whether the new incident information is obtained by a false or mistaken report, based on the new incident information and the reporter information, determining, when the new incident information is determined to be true, a similarity with one or more pieces of related incident information associated with the reported new incident in a database that stores past incident information, and outputting, among the one or more pieces of related incident information, similar incident information to respond to the reported new incident, based on the similarity.