基于机器视觉方法的高铁桥梁监测技术研究<sup>*</sup>

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (883 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要 研究目的: 由于高铁轨道的封闭性和复杂性,高铁线路尤其是高铁桥梁的检测受限因素较多。同时,现有管养技术大多依赖于人工检测,消耗大量人力物力,且检测效率有限。为此,本文提出一种基于机器视觉方法的动态位移测量系统,通过现场试验对运营状态下高铁桥梁的结构变形进行识别。
研究结论: (1)基于机器视觉方法的动态位移测量系统能够较好地识别结构在运营状态下位移变化和结构动态响应;(2)基于机器视觉的测量技术具有非接触、成本低、多点测量以及对列车运行干扰小等多方面优势,能够在非“天窗”时间实现结构状态的监测,进一步提高管养效率;(3)本研究成果能够满足高铁桥梁定期检测及长期监测需求,对高铁桥梁检测技术的发展及健康监测系统的构建具有指导意义。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	雷冬
	杜文康
	朱国靖
	李润璞

关键词 ：机器视觉, 高速铁路, 桥梁, 监测技术, 位移测量

Abstract：Research purposes: Due to the closure and complexity of high-speed rail tracks, there are many restrictive factors in the process of detection, especially in high-speed rail bridges. Meanwhile, most of the existing management and maintenance technologies still rely on manual detection which consumes a lot of manpower and material resources, and limited detection efficiency. In this paper, a dynamic displacement measurement system based on machine vision is proposed to identify the structural deformation of high-speed rail bridges under operating conditions through field experiments.
Research conclusions: (1) The dynamic displacement measurement system based on the machine vision method can better recognize the displacement changes of the structure and identify structural dynamic responses in the operating state. (2) The technology based on machine vision has many advantages such as non-contact, low cost, multi-point measurement and little interference to train operations. It can realize the monitoring of the structure state during non-"skylight" time, and improve the efficiency of management and maintenance. (3) The research results can meet the requirements of periodic inspection and long-term monitoring and provide significant support for the development of high-speed rail bridge inspection technology and the construction of health monitoring systems for high-speed rail bridges.

Key words： machine vision high-speed railway bridge monitoring technology displacement measurement

收稿日期: 2021-10-29

PACS:

U24

基金资助:国家自然科学基金(U1765204, 51679078)

作者简介: **雷冬,1978年出生,男,教授,博士生导师。

引用本文:

雷冬, 杜文康, 朱国靖, 李润璞. 基于机器视觉方法的高铁桥梁监测技术研究^*[J]. 铁道工程学报, 2023, 40(3): 45-49.
LEI Dong, DU Wenkang, ZHU Guojing, LI Runpu. Research on the Monitoring Technology of High-speed Railway Bridge Based on Machine Vision Method. Journal of Railway Engineering Society, 2023, 40(3): 45-49.

链接本文:

https://tdgcxb.crec.cn/CN/ 或 https://tdgcxb.crec.cn/CN/Y2023/V40/I3/45

[1]	章浩. 高速铁路桥梁管养技术研究[D].广州:广州大学,2018.Zhang Hao. Research on Management and Maintenance Technology of High-speed Railway Bridge [D]. Guangzhou: Guangzhou University, 2018.
[2]	王翔,汪正兴.高速铁路桥梁雷达非接触测试技术研究[J].铁道工程学报,2020(1):50-54.Wang Xiang, Wang Zhengxing. Research on the Radar Non-contact Testing Technology of High-speed Railway Bridges [J]. Journal of Railway Engineering Society, 2020(1):50-54.
[3]	杜彦良,张玉芝,赵维刚.高速铁路线路工程安全监测系统构建[J].土木工程学报,2012(S1):59-63.Du Yanliang, Zhang Yuzhi, Zhao Weigang. Construction of the High-speed Railway Line Engineering Safety Monitoring System[J]. China Civil Engineering Journal, 2012(S1):59-63.
[4]	施洲,蒲黔辉,岳青.基于健康监测的高铁大型桥梁运营性能评定[J].铁道工程学报,2017(1):67-74.Shi Zhou, Pu Qianhui, Yue Qing. Service Performance Evaluation of High Speed Railway Long Span Bridge Based on Healthy Monitoring [J]. Journal of Railway Engineering Society, 2017(1):67-74.
[5]	Du Wenkang, Lei Dong, Bai Pengxiang, etc. Dynamic Measurement of Stay-Cable Force Using Digital Image Techniques [J]. Measurement, 2020(151):1-10.
[6]	叶肖伟, 董传智.基于计算机视觉的结构位移监测综述[J]. 中国公路学报, 2019(11):21-39.Ye Xiaowei, Dong Chuanzhi. Review of Computer Vision-based Structural Displacement Monitoring [J]. China Journal of Highway and Transport, 2019(11):21-39.
[7]	Xu Yan, Brownjohn J, Kong Dali, etc. A Non-Contact Vision-Based System for Multipoint Displacement Monitoring in a Cable-Stayed Footbridge [J]. Structural Control and Health Monitoring, 2018(25):2155-2177.
[8]	李小珍, 张志俊, 冉汶民,等. 桥上列车高速运行引起的地面振动试验研究[J].西南交通大学学报, 2016(5):815-823.Li Xiaozhen, Zhang Zhijun, Ran Wenmin, etc. Field Test of Ground Vibration Induced by High- Speed Train on Elevated Bridge [J]. Journal of Southwest Jiaotong University, 2016(5):815-823.