测绘通报 ›› 2020, Vol. 0 ›› Issue (9): 1-6,17.doi: 10.13474/j.cnki.11-2246.2020.0272

• 轨道交通前沿测绘技术研究与应用 •    下一篇

轨道交通隧道全断面病害智能诊断与服役状态评价

赵丽凤1,2,3, 唐超1,2,3, 侯海倩1,2,3   

  1. 1. 北京城建勘测设计研究院有限责任公司, 北京 100101;
    2. 城市轨道交通深基坑岩土工程北京市重点实验室, 北京 100101;
    3. 武汉大学城市智能感知与精密测量工程技术中心, 湖北 武汉 430079
  • 收稿日期:2020-07-01 出版日期:2020-09-25 发布日期:2020-09-28
  • 通讯作者: 唐超。E-mail:tangchao@cki.com E-mail:tangchao@cki.com
  • 作者简介:赵丽凤(1984-),女,硕士,工程师,主要从事精密三维激光测量应用和研究工作。E-mail:252794593@qq.com
  • 基金资助:
    北京市朝阳区科学技术和信息化《面向城市地下设施运行的全息感知和智能诊断平台研发及产业化项目》

Intelligent diagnosis technology and service status evaluation of rail transit tunnel

ZHAO Lifeng1,2,3, TANG Chao1,2,3, HOU Haiqian1,2,3   

  1. 1. Beijing Urban Construction Survey and Design Institute Co., Ltd., Beijing 100101, China;
    2. Beijing Key Laboratory of Geotechnical Engineering for Deep Foundation Pit of Urban Rail Transit, Beijing 100101, China;
    3. Urban Intelligent Perception and Precision Measurement Engineering Technology Center of Wuhan University, Wuhan 430079, China
  • Received:2020-07-01 Online:2020-09-25 Published:2020-09-28

摘要: 武汉大学和北京城建勘测设计研究院共同组建的城市智能感知与精密测量工程中心在深入研究地铁隧道结构监测现状的基础上,将移动三维激光测量技术应用于地铁隧道结构监测,提出一套适用于隧道结构和病害监测的硬件集成方案,研发了一套高效快速获取地下空间结构三维几何特征的方法,实现了隧道结构表观几何特征和病害监测成果高精度提取,并且获得了显著的社会效益和经济效益。本文通过轨道交通隧道全断面智能识别与分析系统的研发及检测装备的研发,实现了轨道交通全断面病害的智能检测与隧道服役状态的评价。

关键词: 三维激光测量, 隧道结构监测, 平台研发, 设备研发, 病害智能识别

Abstract: The urban intelligent perception and precision measurement engineering center, which is jointly established by Wuhan University and Beijing Urban Construction Survey and Design Institute. Based on in-depth study of the current situation of subway tunnel structure monitoring, it applies mobile 3D laser measurement technology to subway tunnel structure monitoring, proposes a set of hardware integration scheme suitable for tunnel structure and disease monitoring, and develops a set of efficient and fast underground acquisition method. The method of three-dimensional geometric characteristics of spatial structure realizes the high-precision extraction to tunnel structure apparent geometric features and disease monitoring results and obtains significant social and economic benefits. In the paper, it through the development of rail transit tunnel full section intelligent identification and analysis system and testing equipment realizes the evaluation of rail transit full section disease intelligent monitoring and tunnel service status.

Key words: 3D laser measurement, tunnel structure monitoring, platform research and development, equipment research and development, disease intelligent recognition

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