Surface Abnormality Detection Using Direction-Based Shape Segmentation
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Solution Overview
Problem
Existing abnormality detection systems fail to accurately detect surface abnormalities in structures with varying curvatures, such as tunnels, due to large errors between shape data and reference shapes caused by changes in surface curvature.
Innovation Solution
An abnormality detection system that includes shape data acquisition, surface direction calculation, shape data division, reference shape calculation, and abnormality detection units to divide shape data based on surface direction and calculate a reference shape for each divided section, allowing for accurate detection of abnormalities by comparing differences between divided shape data and reference shapes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single reference shape is used for the entire structure surface, then the reference shape calculation is simple, but the error between shape data and reference shape becomes large when curvature changes
Solution Approach 1:
The patent divides the structure surface into multiple regions based on curvature characteristics. Each region is assigned its own reference shape, allowing the system to accommodate varying curvatures without introducing large errors. This segmentation approach resolves the contradiction by making the reference shape calculation more complex (multiple regions instead of single shape) while significantly improving measurement precision (reducing errors in high-curvature areas).
Solution Approach 2:
The patent applies different reference shapes to different regions of the structure surface based on their local curvature properties. High-curvature regions receive specialized reference shapes tailored to their geometry, while low-curvature regions use simpler reference shapes. This local quality approach allows the system to optimize both complexity and precision by adapting the reference shape calculation to local conditions rather than using a uniform approach.
2Productivity
If the shape data is not divided based on surface direction, then the processing is simple, but abnormalities cannot be detected accurately in structures with varying curvatures
Solution Approach 1:
The patent segments the shape data into multiple groups based on surface direction and curvature characteristics. Each segment is processed with its own reference shape, which improves the reliability of abnormality detection in high-curvature areas while maintaining processing efficiency through automated classification and processing of each segment.
Solution Approach 2:
The patent dynamically adjusts the reference shape calculation based on the local curvature and surface direction of each region. The system adapts its processing approach in real-time based on the geometric properties detected in each area, allowing it to maintain high reliability across varying curvatures without requiring manual intervention or complex predetermined rules for each scenario.
Data Source
AI summary
An abnormality detection system includes: shape data acquisition means for acquiring shape data of a surface of a structure; surface direction calculation means for calculating a direction in which the surface is facing based on the shape data; shape data division means for dividing the shape data based on the direction in which the surface is facing calculated by the surface direction calculation means; reference shape calculation means for calculating a reference shape for each of the pieces of the shape data divided by the shape data division means; and abnormality detection means for detecting an abnormality on the surface of the structure based on a difference between each of the pieces of the shape data divided by the shape data division means and the reference shape corresponding to each of the pieces of the shape data calculated by the reference shape calculation means.