基于盾构隧道激光雷达探测数据的纵向煤层位置识别方法

IF 1.9 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX Pub Date : 2025-07-28 DOI:10.1016/j.mex.2025.103541

Yu-Lin Chen , Hao-Yuan Liang , Jia-Xuan Zhang

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引用次数: 0

摘要

在提取盾构隧道内纵缝激光雷达探测数据后，虽然可以获得大部分数据，但由于隧道物体和扫描限制，有些数据被遮挡。此外，一些分段点云被错误地识别为接缝，导致提取不准确。因此，本研究提出了一种基于几何信息的推理方法来识别提取的LS点云，以估计无法提取的纵向接缝位置。并将该方法应用于洛阳地铁2号线某段隧道[1]进行了验证。提出了一种基于几何信息的盾构隧道推理方法，将该方法应用于盾构隧道纵向接缝位置识别，并在洛阳地铁2号线隧道某段进行了验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Method for identifying the locations of longitudinal seams based on LiDAR data detected inside shield tunnel

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Method for identifying the locations of longitudinal seams based on LiDAR data detected inside shield tunnel

After extracting the longitudinal seam (LS) LiDAR detected data inside shield tunnel, although most can be obtained, some are obscured by tunnel objects and scanning limitations . Additionally, some segment point clouds are misidentified as seams, leading to extraction inaccuracies. Therefore, this study proposes an inference method based on geometric information to identify the extracted LS point clouds to estimate the longitudinal seams’ locations that could not be extracted. Moreover, this method is applied for validation in a section of the Luoyang Subway Line 2 tunnel [1].

Developed an inference method based on geometric information for shield tunnel;

Application of proposed method to identify the locations longitudinal seams;

The proposed method is validated in a section of the Luoyang Subway Line 2 tunnel.

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