Repair Plan Drafting Support System Using Structural Similarity Analysis
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Solution Overview
Problem
Existing repair plan drafting systems for structural objects, such as bridges, struggle to suggest objective and high-accurate repair methods due to user-dependent selection of repairing methods, making it difficult to adapt to the current situation of the target structural object.
Innovation Solution
A repair plan drafting support system that records past inspection and repair results of reference structural objects, compares these with the target structural object's inspection results, and generates a repair plan based on similarity analysis, including attribute information and multi-dimensional parameter comparison, to determine the most suitable repair methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If repairing methods are displayed based on user-selected keys, then the system adapts to user preferences, but the objectivity and accuracy of repair plan suggestions deteriorate
Solution Approach 1:
The system performs automatic similarity comparison between target and reference structural objects without requiring manual key selection by users. The system self-determines which objects are similar based on automated analysis of structural attributes, inspection results, and repair outcomes, eliminating user bias while maintaining ease of use.
Solution Approach 2:
The patent replaces the manual mechanical process of user key selection with an automated computational system that performs similarity comparison algorithms. This substitution uses computer-based matching of structural attributes, inspection data, and repair results to objectively identify similar reference objects, thereby improving accuracy while maintaining operational simplicity.
2Measurement precision
If multiple reference structural objects are compared, then the accuracy of repair plan generation is improved, but the complexity of the system increases
Solution Approach 1:
The patent segments the comparison process into distinct modular components: attribute information extraction, inspection result comparison, repair result analysis, and similarity scoring. Each module handles a specific aspect of the comparison, making the overall complex process manageable and systematic. This segmentation allows accurate multi-object comparison while organizing system complexity into manageable functional units.
Solution Approach 2:
The system employs a universal similarity comparison framework that can handle multiple reference structural objects simultaneously using the same comparison logic and criteria. This multi-functional approach allows the system to compare any number of reference objects against the target object using consistent attributes and metrics, improving accuracy without proportionally increasing system complexity through repeated specialized components.
3Reliability
If similarity comparison is performed using multiple attributes, then the objectivity of repair plan suggestions is improved, but the time required for plan generation increases
Solution Approach 1:
The patent performs preliminary organization and standardization of attribute information, inspection results, and repair data before the actual similarity comparison. Reference structural objects are pre-tagged with their attributes and outcomes, allowing the comparison process to efficiently retrieve and evaluate relevant data without time-consuming processing during query execution. This preliminary preparation maintains objectivity through comprehensive attribute comparison while reducing generation time.
Data Source
AI summary
A structural object information search unit (18) acquires structural object specification information of the target structural object from the inspection result information, and searches for structural object information of a reference structural object stored in a structural object information DB (50). The structural object information search unit (18) specifies similar reference structural object similar to the target structural object. An inspection result similarity determination unit (24) acquires inspection and/or repair information of the similar reference structural object from the structural object information DB (50), compares the inspection and/or repair information of the similar reference structural object with a inspection result of the target structural object, and specifies inspection result information of the reference structural object used in generation of a repair plan. The repair plan generation unit (20) generates a repair plan of the target structural object based on the specified inspection result information.


