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Deformation Detection Method of Mine Tunnel Based on Mobile Detection System

机译:基于移动检测系统的矿井隧道变形检测方法

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摘要

Subway structure safety detection is an important method to ensure the safe operation of trains. Efficient, high-precision, and automatic tunnel clearance detection is the key to ensure safe operations. This study introduces a mobile tunnel scanning system that integrates a scanner, an inertial measurement unit (IMU), and a rail car. Global Navigation Satellite System (GNSS) time and system hardware calibration are used to synchronize time and space information of the system; the attitude and speed are corrected using the control points from the tunnel to improve the accuracy of absolute positioning. The section coordinate system is converted using the control points and system calibration parameters to complete the tunnel clearance inspection, and the distance between the nearest point of the section and the clear height of the vault is given. Taking Fengxi Road’s Bashan tunnel section of Chongqing Metro Line 5 as an example, the overall system accuracy was tested. The accuracy of chord line measurements was within 1 mm, the internal coincidence accuracy of repeated measurements of the vault clear height was 1.1 mm, the internal coincidence accuracy of repeated measurements of the closest gauge point was 4.8 mm, and the system calibration accuracy was approximately 2 mm. Compared with the existing scheme, the system combines absolute measurement and relative measurement mode to judge the structural safety of tunnel section from multiple angles, high precision, and high efficiency.
机译:地铁结构安全检测是确保火车安全运行的重要方法。高效,高精度和自动隧道间隙检测是确保安全操作的关键。本研究介绍了一种移动隧道扫描系统,其集成了扫描仪,惯性测量单元(IMU)和轨道车。全局导航卫星系统(GNSS)时间和系统硬件校准用于同步系统的时间和空间信息;使用来自隧道的控制点来校正姿态和速度,以提高绝对定位的准确性。使用控制点和系统校准参数转换截面坐标系,以完成隧道间隙检查,并且给出了最近点与保管库的清晰高度之间的距离。以重庆地铁5号线为例,以凤溪路的Bashan隧道段为例,测试了整体系统精度。 Chord Line测量的准确性在1毫米内,拱顶净高的重复测量的内部重合精度为1.1毫米,重复测量的内部重合精度为4.8毫米,系统校准精度约为4.8毫米2毫米。与现有方案相比,系统结合了绝对测量和相对测量模式,从多个角度,高精度和高效率判断隧道部分的结构安全性。

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