摘要
随着城市化进程的加速,地铁已成为现代城市公共交通的关键组成部分,其安全运营对城市发展至关重要。传统的人工巡检和静态测量方法在效率和精度上存在不足,难以满足地铁网络日益增长的检测需求。移动激光扫描技术作为一种新兴的非接触式测量手段,集成了激光雷达、惯性导航系统和同步定位与建图技术,能够在列车运行间隙或低速行驶状态下,快速获取隧道、轨道及车站设施的高精度三维点云数据。本文详细探讨了该技术在地铁隧道病害检测、限界检测和隧道变形检测等方面的应用,结合典型工程案例,分析了其技术优势和实际效果。研究表明,移动激光扫描技术在提高检测效率、精度和自动化程度方面具有显著优势,为地铁基础设施的智能运维提供了有力支撑。
With the acceleration of urbanization,subways have become a key component of modern urban public transportation,and their safe operation is critical to urban development.Traditional manual inspections and static measurement methods have proven inadequate in terms of efficiency and accuracy,failing to meet the growing inspection demands of expanding subway networks.Mobile laser scanning technology,as an emerging non-contact measurement method,integrates lidar,inertial navigation systems,and simultaneous localization and mapping(SLAM)technology.It can rapidly acquire high-precision three-dimensional point cloud data of tunnels,tracks,and station facilities during train operation intervals or at low speeds.This paper systematically examines the application of this technology in subway tunnel defect detection,clearance measurement,and deformation monitoring.Drawing on typical engineering cases,the analysis highlights its technical advantages and practical outcomes.The study demonstrates that mobile laser scanning technology significantly improves inspection efficiency,accuracy,and automation,providing robust support for the intelligent maintenance and operation of subway infrastructure.
作者
周健
季晓菲
闫宏昌
Zhou Jian;Ji Xiaofei;Yan Hongchang(Gansu Forestry Vocational and Technical University,Tianshui 741020,China;Gansu Agricultural University,Lanzhou 730070,China)
基金
2025年甘肃省高校教师创新基金项目:高分辨率遥感影像与无人机航拍数据融合方法研究2025A-334。
关键词
移动激光扫描
地铁检测
三维点云
结构健康监测
人工智能
Mobile laser scanning
Subway inspection
Three-dimensional point cloud
Structural health monitoring
Artificial intelligence
作者简介
周健,女,汉,1983年生,吉林洮南,硕士研究生,副教授。主要从事:测绘地理信息、摄影测量与遥感技术教学和科研工作;通讯作者:季晓菲,女,汉,1986年生,黑龙江密山,硕士研究生,副教授。主要从事:摄影测量与遥感工作。
