Similar Damage Search Using Vector Structure
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Solution Overview
Problem
Existing damage search methods using image-based databases struggle to provide accurate results when searching for similar damage examples, as they primarily rely on length or width, neglecting essential features and structural information.
Innovation Solution
A similar damage search device and method that utilizes a database storing damage vectors and structural information, including hierarchical structure and direction, to perform accurate searches by vectorizing damage and considering multiple feature amounts, with a degree-of-similarity calculation and representative value determination for comprehensive results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If search is performed based only on length or width of damage, then search simplicity is maintained, but search accuracy deteriorates because damage features are not properly recognized
Solution Approach 1:
The patent transforms damage information from simple scalar parameters (length, width) to vector representations that capture directional and structural characteristics. By changing the parameter representation from basic dimensions to vectors with magnitude and direction, the system maintains computational efficiency while significantly improving search accuracy through better damage feature recognition.
Solution Approach 2:
The patent introduces hierarchical structure information as an additional dimension for damage representation. By organizing damage vectors into hierarchical structures that capture spatial relationships and structural patterns, the system adds a new dimension of analysis beyond simple length and width, enabling more accurate similarity search while maintaining operational simplicity through automated processing.
2Measurement precision
If damage structure information is incorporated into the database, then search accuracy for recognizing damage features is improved, but device complexity increases
Solution Approach 1:
The patent segments damage information into distinct hierarchical levels and vector components. By dividing the damage representation into structured segments (hierarchical structure information and vector information), the system manages complexity through modular organization while enabling comprehensive feature analysis for accurate search results.
Solution Approach 2:
The patent transforms complex damage structure data into standardized vector parameters with defined properties. By changing the representation of structural information into mathematical vectors with specific attributes, the system reduces complexity through formalization while preserving the rich structural details needed for accurate damage recognition and search.
Data Source
AI summary
A similar damage search device includes a database that stores first damage information generated on the basis of a damage image of a structure, the first damage information including a damage vector obtained by vectorizing damage of the structure, and damage structure information including at least one of information on a hierarchical structure of the damage vector or information on a direction of the damage vector, an information acquisition unit that acquires second damage information corresponding to the first damage information on the basis of a damage image of a search target; and a search unit that searches for one or a plurality of pieces of first damage information similar to the second damage information from among the first damage information stored in the database on the basis of the second damage information acquired by the information acquisition unit.