强风低温环境下桥梁绳索损伤自动检测算法研究  

Research on automatic detection algorithm of bridge rope damage under strong wind and low temperature environment

作　　者：王支荣 朱元 WANG Zhirong;ZHU Yuan(Liuzhou Ouweim Engineering Co.,Ltd.,Liuzhou,Guangxi 545036,China;Liuzhou City Vocational College,Liuzhou,Guangxi 545036,China)

机构地区：[1]柳州欧维姆工程有限公司,广西柳州545036 [2]柳州城市职业学院,广西柳州545036

出　　处：《计算机应用文摘》2025年第9期104-106,109,共4页

摘　　要：针对强风低温环境下桥梁绳索易受损且难以人工检测的问题,开展了桥梁绳索磁通量信号特征提取、损伤检测与自动定位算法的研究。通过深入分析强风低温环境对桥梁绳索磁通量信号的影响,提取出能够反映绳索状态变化的特征参数。通过引入动态柔度矩阵,实现对绳索损伤的自动识别与精确定位。实例应用分析证明,该算法能够在强风低温环境下准确检测并定位桥梁绳索的损伤,检测结果与实际损伤位置一致。将该检测算法应用于实际,可以为桥梁安全监测与维护提供有效的技术手段。In view of the problem that the bridge rope is vulnerable to damage and difficult to manually detect under strong wind and low temperature environment,the research on the extraction of magnetic flux signal features,damage detection and automatic positioning algorithm is carried out.Through analyzing the influence of strong wind and low temperature environment on the magnetic flux signal of bridge rope,the characteristic parameters that can reflect the change of rope state are extracted.By introducing the dynamic alignment matrix,automatic recognition and accurate positioning.Through example application analysis,it is proved that the proposed algorithm can accurately detect and locate the damage of the bridge rope in the strong wind and low temperature environment,and the detection results are consistent with the actual damage location.Applying the detection algorithm to practice can provide effective technical means for bridge safety monitoring and maintenance.

关 键 词：强风低温环境 绳索 检测 损伤 桥梁 

分 类 号：TH213[机械工程—机械制造及自动化]