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浙江大学学报(工学版)
土木工程     
基于机器视觉技术的桥梁挠度测试方法
叶肖伟1,2,张小明2,3,倪一清2,黄启远4,樊可清3
1. 浙江大学 建筑工程学院,浙江 杭州 310058;2. 香港理工大学深圳研究院,广东 深圳 518057;
3. 五邑大学信息工程学院,广东 江门 529020;4. 香港特别行政区政府路政署,香港
Bridge deflection measurement method based on machine vision technology
YE Xiao-wei1,2, ZHANG Xiao-ming2,3, NI Yi-qing2, WONG Kai-yuen4, FAN Ke-qing3
1. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China;
2. The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, China;
3. School of Information Engineering, Wuyi University, Jiangmen 529020, China;
4. Highways Department, The Government of the Hong Kong Special Administrative Region, Hong Kong, China
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摘要:

针对大跨桥梁的结构位移/挠度测量,提出基于数字图像处理技术的结构位移测量方法,介绍基于模板匹配算法的结构位移计算流程.研发机器视觉位移测量系统,该系统集成远距离、非接触、实时、低成本和便于实施等优势,实现以毫米级的精度进行结构位移测量.对该系统分别进行实验室和现场标定试验,验证该系统用于结构位移测量的可行性以及测量精度的可靠性.在千米级的工作距离,利用该系统和GPS对青马大桥的跨中挠度进行同步测量,结果表明,两者的位移测量数据在时域和频域上均保持高度一致.该机器视觉位移测量系统在土木工程结构位移/挠度监测中具有广泛的应用前景.

Abstract:

In this paper, a structural displacement measurement method by use of the digital image processing technology is proposed for the purpose of structural displacement/deflection measurement of long-span bridges. The flowchart of structural displacement calculation based on the pattern matching algorithm is introduced. A machine vision-based displacement measurement system is developed, which integrates many advantages such as long-distance, non-contact, real-time, low-cost and convenient to implementation in realizing the structural displacement measurement with the accuracy level of millimetre. The laboratory and field calibration tests are carried out to validate its feasibility on the structural displacement measurement and the reliability on systematic measurement accuracy. The mid-span deflection of the Tsing Ma Bridge is simultaneously measured by the developed system with a working distance over one thousand meters and the GPS. The results show that the displacement measurement data from the developed system are in good agreement with those measured by the GPS in both the time and frequency domains. The developed machine vision-based displacement measurement system has wide application prospect in the displacement/deflection monitoring of civil engineering structures.

出版日期: 2014-11-26
:  TU 997  
基金资助:

国家自然科学基金资助项目(51308493);教育部高等学校博士学科点专项科研基金资助项目(20130101120080);中央高校基本科研业务费专项资金资助项目

作者简介: 叶肖伟(1980-),男,博士,副教授,从事土木工程结构健康监测和安全评估方面的研究. E-mail: cexwye@zju.edu.cn
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引用本文:

叶肖伟,张小明,倪一清,黄启远,樊可清. 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), 10.3785/j.issn.1008-973X.2014.05.009.

YE Xiao-wei, ZHANG Xiao-ming, NI Yi-qing, WONG Kai-yuen, FAN Ke-qing. Bridge deflection measurement method based on machine vision technology. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 10.3785/j.issn.1008-973X.2014.05.009.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2014.05.009        http://www.zjujournals.com/eng/CN/Y2014/V48/I5/813

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