应用激光, 2019, 39 (4): 678, 网络出版: 2019-10-12   

基于激光位移传感器的地铁隧道结构变形监测系统设计

Design of Deformation Monitoring System for Metro Tunnel Structure Based on Laser Displacement Sensor
作者单位
广州铁路职业技术学院电气工程学院, 广东 广州, 510430
摘要
针对辽宁某铁轨交通实际工程区域展开全面的分析研究, 并使用激光位移传感器等手段在设计地铁隧道结构变形检测系统当中充分发挥三维激光扫描技术功能。最终得出如下结论, 在隧道变形监测工程当中使用三维激光扫描点云数据隧道断面提取技术。采集周期为10期, 时间跨度为55天, 分析监测辽宁某地铁隧道的特征断面, 在第三期到第六期当中发现隧道的荷载和沉降值将会随着超高层的连续施工作业而产生巨大的变化, 其中逐渐处于平稳状态的为后者。结合实际工程资料展开分析能够确定, 观测周期当中的沉降值数值在3.35 mm时最大, 使用三维激光扫描仪和传统水准沉降检测得出的结果, 最终发现可以得到大致相同的隧道沉降变化趋势和变化量, 这表明本文提出的方法能够更全面、更直观分析隧道横断面变形。
Abstract
In this paper, a comprehensive analysis and research is carried out on the actual railway traffic engineering area in Liaoning Province. Laser displacement sensor is used to design the deformation detection system of subway tunnel structure, which can give full play to the function of three-dimensional laser scanning technology. Finally, the following conclusions are drawn. In the tunnel deformation monitoring project, three-dimensional laser scanning point cloud data is used to extract tunnel section. The collection period is 10 periods and the time span is 55 days. The characteristic section of a metro tunnel in Liaoning Province is analyzed and monitored. From the third to the sixth period, it is found that the load and settlement of the tunnel will change greatly with the continuous construction of super high-rise buildings, of which the latter is gradually in a stable state. Combining with the actual engineering data, the settlement value of the observation period is the largest at 3.35 mm. Analyzing the results of the three-dimensional laser scanner and the traditional level settlement detection, it is found that the variation trend and variation of tunnel settlement can be approximately the same. This shows that the method proposed in this paper can analyze tunnel cross-section deformation more comprehensively and intuitively.

熊志金. 基于激光位移传感器的地铁隧道结构变形监测系统设计[J]. 应用激光, 2019, 39(4): 678. Xiong Zhijin. Design of Deformation Monitoring System for Metro Tunnel Structure Based on Laser Displacement Sensor[J]. APPLIED LASER, 2019, 39(4): 678.

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