计算机与现代化Issue(2)：46-52,7.DOI:10.3969/j.issn.1006-2475.2026.02.006
桥梁索力数据异常监测系统
Anomaly Monitoring System for Bridge Cable Force Data
摘要
Abstract
In order to meet the urgent need for bridge safety monitoring and intelligent operation and maintenance(O&M)in China,this paper proposes a bridge anomaly monitoring system based on multi-sensor spatiotemporal collaborative learning,which differs from traditional low-efficiency,high-cost manual inspection methods.To ensure the system's continuous stability and effective generalization,a lightweight clustering anomaly data detection algorithm based on DBSCAN is proposed to effi-ciently and real-time detect sensor anomaly data.Meanwhile,a multi-sensor data repair network based on LSTM is developed,collaboratively mining the associated information from multi-sensors under varying spatiotemporal conditions to repair missing or inaccurate data caused by sensor failures.During the bridge anomaly detection process,a bridge structural anomaly determina-tion method based on the Naive Bayes classifier is adopted to generate accurate structural safety assessment results.Considering the integration of software and hardware in anomaly detection,this paper leverages the complementary advantages of real-time data collection and processing on the embedded end,as well as the rich computational resources of the host computer,decou-pling and deploying the anomaly detection methods to both the embedded system and host computer.The entire process is visual-ized through a GUI interface.The experimental results show that the system can effectively identify and repair anomaly data,im-prove the accuracy of bridge structural safety assessment,and perform well in anomaly detection accuracy and data repair in prac-tical applications,which provides a reliable safeguard for intelligent O&M and structural safety early warning of bridges.关键词
桥梁异常检测/深度学习/嵌入式系统/可视化平台Key words
bridge anomaly detection/deep learning/embedded system/visualization platform分类
信息技术与安全科学引用本文复制引用
王晓楠,高通,毕月榕,隋智垚,黄清,王雨芳..桥梁索力数据异常监测系统[J].计算机与现代化,2026,(2):46-52,7.基金项目
国家级"大学生创新创业训练计划"项目(202410183209) （202410183209）
国家自然科学基金青年基金资助项目(42301398) （42301398）
吉林省青年科技人才托举工程(QT202420) （QT202420）
