一种基于视觉分析的高速公路改扩建工程既有构造物评估系统

By using visual analysis and multi-source data processing, a load-strain mapping model was constructed to generate a three-dimensional damage heat map, which solved the problems of accuracy and robustness in the assessment of existing structures in highway reconstruction and expansion projects, and achieved efficient damage identification and assessment.

CN121562265BActive Publication Date: 2026-07-17HUNAN EXPRESSWAY DESIGN CONSULTING RES INST CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUNAN EXPRESSWAY DESIGN CONSULTING RES INST CO LTD
Filing Date
2025-11-17
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In highway reconstruction and expansion projects, the stability assessment of existing structures is easily affected by dynamic loads, and the accuracy and robustness of existing assessment schemes are poor.

Method used

A visual analysis-based assessment system is adopted. By acquiring multi-source data and using transfer learning to construct a load-strain mapping model, and combining multi-dimensional processing and analysis of damage data, a three-dimensional damage heat map is generated to realize the location and assessment of the damage area.

Benefits of technology

It improves the accuracy and early identification rate of damage identification, reduces positioning errors, enables quantitative assessment and accurate decision-making of structural stability, and enhances the real-time performance and robustness of the assessment.

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Abstract

本发明公开了一种基于视觉分析的高速公路改扩建工程既有构造物评估系统,属于工程监管评估技术领域;用于解决现有方案在实施时的评估准确性和系统鲁棒性不佳的技术问题;通过经验模态分解与小波熵去噪,基于数字孪生模型的逆推算法,通过应变集中系数实现损伤程度的量化分级,构建三维热力图可以直观呈现损伤空间分布;通过自适应阈值算法可以有效提升对不同环境噪声的适应性,结构稳定度将抽象的变形数据转化为量化指数,可以避免传统经验判断的主观性;通过一级、二级预警机制区分紧急维修与加强监测,结合热力图的分段数据与自动生成的缺陷报告,实现了结构稳定性的量化评估与精准决策,可以为工程安全与维修资源优化提供核心技术支撑。
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