基于计算机视觉的钢结构表面损伤识别与健康监测综述  

Review on Damage Identification and Health Monitoring of Steel Structures Based on Computer Vision

作　　者：逯鹏 赵天淞[2] 王剑 赵磊[3] 常好诵 郑云 LU Peng;ZHAO Tiansong;WANG Jian;ZHAO Lei;CHANG Haosong;ZHENG Yun(Inspection and Certification Co.,Ltd.,MCC,Beijing 100088,China;Tianjin Chengjian University,Tianjin 300384,China;96854 Troops of PLA,Shenyang 110033,China;Central Research Institute of Building and Construction Co.,Ltd.,MCC Group,Beijing 100088,China)

机构地区：[1]中冶检测认证有限公司,北京100088 [2]天津城建大学,天津300384 [3]96854部队,沈阳110033 [4]中冶建筑研究总院有限公司,北京100088

出　　处：《工业建筑》2022年第10期22-27,共6页Industrial Construction

基　　金：国家自然科学基金面上项目(52078508)。

摘　　要：由于钢结构材料特性及日常管理不足等原因,其表面损伤情况时有发生。随着数字信息技术的发展,计算机视觉技术已经成为钢结构损伤识别与健康监测的重要手段。本文介绍了计算机视觉技术在钢结构损伤与健康监测方面的相关研究进展,围绕钢结构表面锈蚀损伤、焊缝损伤、螺栓连接损伤的识别技术及钢结构健康监测技术展开讨论,并展望了基于计算机视觉的钢结构损伤识别与健康监测技术的发展方向。Steel structures suffer from surface damage all the time due to their material properties and insufficient daily management.With the development of digital information technology,computer vision techniques have become key means in damage identification and health monitoring of steel structures.This paper presented the advances of computer vision techniques in damage and health monitoring of steel structures and discussed the identification techniques for surface corrosion damage,weld joint damage,and bolt connection damage of steel structures and their health monitoring.Moreover,it also predicted the development trends of damage identification and health monitoring techniques based on computer vision for steel structures.

关 键 词：钢结构损伤 损伤识别 计算机视觉 健康监测 搭载平台 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TU391[自动化与计算机技术—计算机科学与技术] TU317[建筑科学—结构工程]