测绘通报 ›› 2022, Vol. 0 ›› Issue (9): 6-11,22.doi: 10.13474/j.cnki.11-2246.2022.0255

• 交通建设工程测绘技术应用研究 • 上一篇    下一篇

螺栓孔特征点云支持下的地铁盾构隧道环缝识别与环间错台量分析

卢建军1, 李文海2, 燕樟林1, 鲍艳2, 吴旭3, 倪树新4   

  1. 1. 浙江华东测绘与工程安全技术有限公司, 浙江 杭州 310014;
    2. 北京工业大学城市与 工程安全减灾教育部重点实验室, 北京 100124;
    3. 南通理工学院, 江苏 南通 226002;
    4. 南通昊创智能科技有限公司, 江苏 南通 226001
  • 收稿日期:2022-07-07 发布日期:2022-09-30
  • 通讯作者: 鲍艳。E-mail:baoy@bjut.edu.cn
  • 作者简介:卢建军(1975—),男,高级工程师,主要从事精密工程测量与变形监测研究工作。E-mail:lu_jj@hdec.com
  • 基金资助:
    国家自然科学基金(51829801);南通市自然科学基金(JC2020123)

Circumferential seam detection and analytics of segment misplacement between rings of subway shield tunnels based on featured point cloud of bolt holes

LU Jianjun1, LI Wenhai2, YAN Zhanglin1, BAO Yan2, WU Xu3, NI Shuxin4   

  1. 1. Zhejiang Huadong Surveying and Mapping and Engineering Safety Technology Co., Ltd., Hangzhou 310014, China;
    2. Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing 100124, China;
    3. Nantong Institute of Technology, Nantong 226002, China;
    4. Nantong Haochuang Intelligent Technology Co., Ltd., Nantong 226001, China
  • Received:2022-07-07 Published:2022-09-30

摘要: 管片错台是地铁盾构隧道全生命周期中常见的一种隧道病害。错台量过大,可能会使成型的隧道发生大面积的破损和渗漏,对地铁隧道的耐久性和安全性产生极大的威胁。基于三维激光扫描技术的错台检测通过确定环缝位置提取环缝两侧的断面,继而分析错台量。目前的环缝位置识别需要将点云数据转化为正射影像,再采用人工标注的方法,该方法效率低,精度极易受作业人员的影响。本文提出了一种基于螺栓孔特征点云的地铁盾构隧道环缝识别方法,无需生成正射影像,充分利用盾构隧道既有特征点云,能够准确、快速地识别环缝位置,并在此基础上结合杭州市实际地铁工程进行环间错台检测以验证该方法。结果表明,相较于传统的隧道检测手段,该方法效率高,检测全面且监测结果能够达到工程应用的精度要求。

关键词: 移动式三维激光扫描仪, 盾构隧道, 螺栓孔, 环缝识别, 环间错台

Abstract: Segment misplacement is a common disease that occurs frequently in the whole life cycle of subway shield tunnels. Excessive misalignment may cause huge damages and leakage to the tunnel, which poses a great threat to the durability and safety of the subway tunnel. Existing method uses 3D laser scanning technology to extract cross-sections on both sides of the circumferential seam by determining the position of the circumferential seam for misalignment detection. Unfortunately, existing method still needs to convert the point cloud data into orthophoto images, and then label the image manually. Using such a method is inefficient and the accuracy could be easily affected by the operator. This study proposes a method for detecting circumferential seams of subway shield tunnels based on the featured point cloud of bolt holes. The proposed method make full use of the collected featured point clouds of shield tunnels without generating orthophoto images for detecting the position of circumferential seams accurately and quickly. The authors uses a subway project in Hangzhou as a case study to validate the proposed method. The results show that, compared with the traditional method, the proposed method is highly efficient and satisfies the accuracy requirements of engineering applications.

Key words: mobile 3D laser scanner, shield tunnel, bolt hole, circumferential seam detection, segment misplacement between rings

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