Bulletin of Surveying and Mapping ›› 2025, Vol. 0 ›› Issue (3): 59-65.doi: 10.13474/j.cnki.11-2246.2025.0310

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Precise determination of bolt holes in multiple source shield tunnels by multi-feature template matching

WANG Shaoning1, YANG Yuanwei1, XU Lei2, GU Shicheng3, GAO Xianjun1, YIN Zhenghao1, ZHONG Kang1, LIU Zhenyu1   

  1. 1. School of Geosciences, Yangtze University, Wuhan 430100, China;
    2. China Railway Design Corporation, Tianjin 300251, China;
    3. No. 1 Middle School Affiliated to Central China Normal University, Wuhan 430223, China
  • Received:2024-07-15 Published:2025-04-03

Abstract: Given that the bolt hole is the primary mechanical component of the shield tunnel,its overall structural stability depends heavily on it.A possible risk to the secure functioning of tunnels is disease phenomena such water seepage and cracks brought on by bolt failure.In order to eliminate the potential safety hazards of inspectors and improve the detection efficiency of bolt holes,this paper proposes an accurate identification method for bolt holes in multi-source shield tunnels based on multi-feature template matching.Firstly,the geometric center of the tunnel section point cloud is chosen as the viewpoint,and the tunnel point cloud is expanded into a 2.5 D point cloud using cylindrical projection.The bolt hole point cloud is then extracted using DBSCAN,and its center coordinate set is generated using Euclidean clustering.The DBSCAN clustering method based on the shape features of the point cloud designed in this paper can extract all bolt holes from the point cloud data.The average similarity and recognition rate of the proposed method can reach 98.79% and 98.76%,respectively,and the average deviation is smaller and more robust in the case of similar time.In this paper,the shape characteristics of the bolt hole point cloud are fully considered to realize the accurate classification of the bolt hole point cloud,and the accuracy of target recognition on the shield tunnel image is further improved by fusing the three-dimensional and two-dimensional data of the shield tunnel.

Key words: shield tunnels, bolt holes, cross-modality, template matching, target recognition

CLC Number: