Large-span bridge key point settlement monitoring method and system based on intelligent sensor

By using intelligent sensors and an improved TQSA-SPM model, multi-source data processing and settlement response analysis are performed on long-span bridges, solving the problem of continuous and accurate monitoring of settlement at key bridge points in existing technologies, and enabling timely identification and early warning of settlement risks.

CN122408702APending Publication Date: 2026-07-17

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Filing Date
2026-05-27
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing bridge settlement monitoring methods are insufficient for continuous, accurate, and traceable settlement monitoring of key points on long-span bridges, especially when short-term settlement fluctuations or local settlement developments make it difficult to identify settlement risks in a timely manner.

Method used

By using intelligent sensors to process multi-source data, and combining settlement response benchmark reconstruction, load disturbance stripping, settlement analysis and improved TQSA-SPM model, settlement risk identification results are generated and early warnings are issued.

Benefits of technology

It enables continuous and accurate settlement monitoring of key points of long-span bridges, timely identification of settlement risks, accurate identification of settlement anomaly locations and risk levels, and supports safe operation and maintenance of bridges.

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Abstract

本发明公开了基于智能传感器的大跨度桥梁关键点沉降监测方法及系统,包括如下步骤:布设智能传感器采集桥梁关键点原始传感数据并预处理,生成桥梁关键点标准监测数据集;进行沉降响应基准重构,生成桥梁关键点沉降响应基准序列;进行载荷扰动剥离沉降解析,生成单点真实沉降状态数据;生成关键点沉降偏移传播数据;利用改进TQSA‑SPM模型进行状态识别,生成关键点沉降风险识别结果;形成沉降监测反馈数据并发送至桥梁安全监测平台;更新关键点沉降偏移传播数据,形成更新后的关键点沉降风险识别结果,提高大跨度桥梁关键点真实沉降识别、沉降传播追踪和风险预警的准确性。
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