一种基于知识图谱的重力坝结构缺陷识别方法
By constructing a knowledge graph of structural defects in gravity dams, and combining forward causal propagation and reverse tracing propagation, and optimizing path weights, the problem of relying on expert experience in the diagnosis of structural defects in gravity dams was solved, and efficient and accurate multi-defect identification and risk prediction were achieved.
CN121257682BActive Publication Date: 2026-07-17SICHUAN UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SICHUAN UNIV
- Filing Date
- 2025-10-09
- Publication Date
- 2026-07-17
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Figure CN121257682B_ABST
Abstract
本发明公开了一种基于知识图谱的重力坝结构缺陷识别方法，包括：基于重力坝结构缺陷‑监测表征的耦联机制，构建重力坝结构缺陷知识图谱；提取重力坝工作反馈数据中的异常数据，并对其进行标准化融合处理后接入重力坝结构缺陷知识图谱；在接入异常数据的重力坝结构缺陷知识图谱中进行正向因果传播和反向溯源传播，确定缺陷正向演化链路及缺陷逆向溯源链路；引入衰减因子对缺陷正向演化链路及缺陷逆向溯源链路进行路径权重重构，并根据重构总权重进行路径筛选，将筛选路径作为重力坝结构缺陷识别依据。本发明有效兼容基于历史案例和数值分析的经验知识不完备性并反映实际物理过程的不确定性，实现多缺陷协同演化路径的动态评估。
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