基于视觉的结构挠度无损检测技术
A vision-based nondestructive testing technology for structural deflections
摘 要
挠度是大型结构安全的重要指标，对结构挠度的非接触动态监测技术研究具有重要的价值。开发了一种基于图像测量的桥梁挠度测试技术，建立了基于数字图像相关方法的挠度匹配算法，研发出基于单目视觉的挠度测量仪。通过室外精度验证，评估了该测量系统进行远距离挠度测量的可行性和可靠性。最后利用该系统对武汉鹦鹉洲长江大桥进行了实时挠度测量，测量结果和安装在桥上的全球定位系统（GPS）的读数高度一致。
单目视觉
数字图像相关方法
bridge deflection
monocular vision
digital image correlation method
Abstract
Development of computer vision technology is important to structural health monitoring since deflection is a key factor to large structures. In this study, a monocular video deflectometer has been constructed by developing an efficient fast algorithm based on Digital Image Correlation. The precision of the video deflectometer has been verified in the outdoor experiment. This system has been adopted to dynamically measure the vertical deflection of the Yingwuzhou Yangtze River Bridge at given positions. It is found that the measurement is in good agreement with the readouts from the existing GPS sensors which are embedded in the bridge.
中图分类号 TG115.28 DOI 10.11973/wsjc202001011
所属栏目 试验研究
基金项目 国家重点研发计划项目（2018YFF01014200）；国家自然科学基金项目（11727804， 51732008，11672347）
收稿日期 2019/4/23
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备注王硕(1995-),男,硕士研究生,主要研究方向为数字图像相关技术
引用该论文: WANG Shuo,LI Xiaodong,ZHANG Dongsheng. A vision-based nondestructive testing technology for structural deflections[J]. Nondestructive Testing, 2020, 42(1): 46～49
王硕,李晓东,张东升. 基于视觉的结构挠度无损检测技术[J]. 无损检测, 2020, 42(1): 46～49
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【5】王晓智.用GPS进行大型桥梁挠度变形观测的数据处理与分析[J].科技传播,2010(6):56-58.
【6】叶肖伟,张小明,倪一清,等.基于机器视觉技术的桥梁挠度测试方法[J].浙江大学学报(工学版),2014,48(5):813-819.
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【9】FENG M Q, AACE F, FUKUDA Y, et al. Nontarget vision sensor for remote measurement of bridge dynamic response[J]. Journal of Bridge Engineering, 2015, 20(12):04015023.
【10】WU R, KONG C, LI K, et al. Real-time digital image correlation for dynamic strain measurement[J]. Experimental Mechanics, 2016, 56(5):833-843.
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