基于多源数据的运营地铁综合检测技术研究与应用

Research and Application of Comprehensive Inspection Technology for Operating Metro Based on Multi-source Data

为解决传统地铁运营维护中检测效率低、检测精度低等问题,研究一种基于惯性导航、三维激光扫描和高清相机的隧道综合检测技术。轨道几何状态检测采用惯性相对测量,测量轨距、水平、轨向、高低、三角坑等;隧道几何状态检测采用移动三维激光扫描,检测隧道变形、管片错台等;隧道表观病害检测采用高清相机旋转扫描,检测隧道裂纹、渗漏水等。研究表明,采用三种新型检测技术对运营地铁进行综合检测试验,轨道几何状态检测速度3 km/h,隧道几何状态检测速度3 km/h,隧道表观病害检测速度2.5 km/h。试验完成后对各项检测成果进行人工复核检查,结果表明,检测精度和检测完整性均满足地铁运营维护要求,相较于传统的人工巡检方法,采用新型检测技术能提高地铁运营维护的检测效率和技术水平。

To address the issues of low detection efficiency and accuracy in traditional subway operation and maintenance,researchers developed a comprehensive tunnel inspection technology based on inertial navigation,3D laser scanning,and high-definition cameras.The technology included three main aspects of inspection:the track geometric state was detected using inertial relative measurement to measure track gauge,level,alignment,elevation,and triangle pits.The tunnel geometric state was detected using mobile 3D laser scanning to detect tunnel deformation and misalignment of segmental linings.The tunnel surface defect inspection was conducted using high-definition cameras for rotating scan to detect tunnel cracks,water leakage,etc.Studies showed that using these three new detection technologies for comprehensive inspections of operational subways,the speed of track geometric state detection was 3 km/h,tunnel geometric state detection was 3 km/h,and tunnel surface defect detection was 2.5 km/h.After the tests were completed,manual verification checks were performed on the detection results,which demonstrated that the detection accuracy and completeness met the requirements for subway operation and maintenance.Compared to traditional manual inspection methods,the use of these new detection technologies can improve the detection efficiency and technical level of subway operation and maintenance.