Problem Structure Extraction via Loop Normalization
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Solution Overview
Problem
Existing systems fail to extract problem structures from evaluation models with redundant nodes, as they require matching between loop structures of the same length, leading to incomplete risk factor identification.
Innovation Solution
A problem structure extraction support system that extracts loop structures from directed graphs, replaces common nodes and links in series within these structures, and matches them with reference models, allowing for effective pattern recognition even with redundant nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If matching is performed between loop structures of the same length, then matching precision is improved, but the quantity of extracted problem structures decreases
Solution Approach 1:
The patent merges multiple loop structures by identifying common portions (sequences of nodes and links) that appear in multiple loops and replacing them with a single representative node. This combining approach allows loop structures of different lengths to be matched effectively, as the common portions are normalized. Consequently, the system can extract more problem structures including those with redundant nodes, while maintaining matching precision through the standardized representation of common patterns.
2Device complexity
If loop structures with redundant nodes are processed using traditional matching, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent extracts common portions from multiple loop structures and separates them as independent reusable elements. By identifying sequences of nodes and links that appear in multiple loops and replacing them with representative nodes, the system handles redundant nodes systematically. This extraction approach maintains matching precision by preserving the essential structural patterns while eliminating redundancy, allowing accurate problem structure extraction even from complex models with redundant nodes.
Data Source
AI summary
An object of the present invention is to enable extraction of more structures having a possibility including problems. A problem structure extraction support system extracts multiple loop structures from an evaluation model, replaces a common portion which includes nodes and links in series common to the multiple loop structures by one of the nodes included in the common portion, and determines the reference models corresponding to the multiple loop structures.


