悬索桥弱光环境主缆钢丝腐蚀标准图集采集与分析技术研究  

Research on the Technology of Collection and Analysis of Standard Picture Sets of Main Cable Steel Wire Corrosion in Suspension Bridge Under Low Light Environment

作　　者：官华 闻洁静 GUAN Hua;WEN Jiejing(Zhejiang Zhoushan Cross-Sea Bridge Co.,Ltd.,Zhejiang Zhoushan 316000,China;Zhejiang Jinhua Yongjin Expressway Co.,Ltd.Hangzhou Science and Technology Branch,Hangzhou 310000,China)

机构地区：[1]浙江舟山跨海大桥有限公司,浙江舟山316000 [2]浙江金华甬金高速公路有限公司杭州科技分公司,杭州310000

出　　处：《交通工程》2025年第3期21-26,共6页Journal of Transportation Engineering

摘　　要：本研究针对悬索桥弱光环境下主缆钢丝腐蚀监测难题,开发一套基于多摄像头模块与AI技术的腐蚀标准图集采集与分析系统。系统通过在主缆钢丝与保护外壳间隔布置54个小型摄像头,结合补光、调焦功能,实现弱光环境下的全面图像采集。采用YOLOv5等AI模型,优化腐蚀区域的自动检测与分类,准确率达到92.5%。开发的采集与分析程序集成多路摄像头控制、图像拼接与矫正、AI分析及标准图集生成等功能,为悬索桥主缆钢丝的腐蚀监测提供高效、可靠的技术方案。该系统无损检测、高效采集,并适应弱光环境,为桥梁维护的智能化发展提供重要技术支撑。This study addresses the challenge of corrosion monitoring of main cable wires in suspension bridges under low-light conditions by developing a system for collecting analyzing corrosion standard images based on a multi-camera module and AI technology.The system,which involves the arrangement of 54 small cameras between the main cable wires and protective shell,combined with functions such as supplementary lighting and focusing,has achieved comprehensive image collection under low-light conditions.By using AI models such as YOLOv,the automatic detection and classification of corroded areas have been optimized,with an accuracy rate of 92.5%.The developed collection and analysis software integrates multiple,including multi-camera control,image stitching and correction,AI analysis,and standard image generation,providing an efficient and reliable technical solution for the corrosion monitoring of main cable in suspension bridges.This system,which is non-destructive,efficient in collection,and adaptable to low-light conditions,provides an important technical support for the intelligent development bridge maintenance.

关 键 词：悬索桥 弱光环境 主缆钢丝腐蚀 

分 类 号：U444[建筑科学—桥梁与隧道工程]