Image-Based Repair Method Selection for Consistent Structure Maintenance
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Solution Overview
Problem
Existing bridge repair systems lack the ability to accurately select appropriate repair methods based on long-term evaluation and historical repair data, leading to inconsistent and budget-deviating outcomes due to the variability in inspector expertise and the absence of reflecting past post-repair inspection results.
Innovation Solution
A structure repair method selection system that includes a repair evaluation unit, database, and image processing units to analyze damage from captured images, evaluate repair methods based on historical data, and present methods with high evaluation scores, ensuring appropriate and cost-effective repairs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a technician manually selects a repair method based on experience, then the repair can be performed, but the selection process is time-consuming and results vary depending on the technician's skill level
Solution Approach 1:
The patent replaces the manual mechanical decision-making process with an automated information processing system. The repair method selection apparatus automatically retrieves structure information, evaluates damage degrees, and selects appropriate repair methods using a computer-based system, eliminating reliance on individual technician experience and significantly reducing selection time while improving consistency and accuracy.
Solution Approach 2:
The system enables self-service by allowing the repair selection process to occur automatically without requiring expert technician intervention. The apparatus independently gathers structure information, determines damage levels, and selects repair methods autonomously, making the process efficient and accessible to anyone with access to the system rather than requiring specialized human expertise.
2Measurement precision
If comprehensive structure information is collected for accurate repair method selection, then selection accuracy improves, but the information gathering process becomes more complex
Solution Approach 1:
The patent implements a universal information management system that handles multiple types of structure information (building data, damage images, inspection records) through a single integrated platform. The system performs multiple functions including data storage, image processing, damage evaluation, and repair method selection, reducing the need for separate specialized systems while maintaining comprehensive information gathering capabilities.
Solution Approach 2:
The patent introduces an intermediary database and processing layer that standardizes and organizes diverse structure information. This intermediary system receives various input formats, converts them to standardized data structures, and presents processed information to the repair selection algorithm, simplifying the complexity of handling comprehensive structure information while maintaining high determination accuracy.
Data Source
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AI summary
A structure repair method selection system (100) includes a repair evaluation unit (105) that obtains an evaluation score for a structure after repair, a database (110) that has data of a captured image of the structure and the evaluation score, an image acquisition unit (115) that acquires a captured image of a target structure to be repaired, a damage detection unit (125) that detects damage from the captured image, a similar damage extraction unit (130) that extracts similar damage similar to the damage by using the database (110), and a repair method presentation unit (135) that presents, based on the evaluation score, repair methods used for the similar damage. Also provided are a repair method selection method that uses the structure repair method selection system (100), and a repair method selection server.