Abstract

Automation and intelligent health monitoring technologies will be one of the most important development directions for rail transit operation and maintenance considering the continuous expansion of the scale of urban rail transit and the increase of labor costs. The highly accurate, full-field data acquisition based on vision measurement technology, which is combined with photogrammetry and three-dimensional scanning technology, is an effective way to improve the intelligence of monitoring. In this paper, accuracy tests of vision measurement and total station technology in multipoint measurement is carried out under the same conditions where the accuracy and reliability are compared according to the various datasets which are collected from experiment and testing. A novel visual measurement technology is proposed for the deformation monitoring of tunnel structures, such as settlement and convergence. The results show that the measurement system has a resolution of 0.01 mm which is better than the total station resolution, and the deviation ratios of the vertical and horizontal displacement are 1.6% and 2.5%, which demonstrate the proposed system has a good potential for practical applications in terms of resolution and accuracy.

摘要

考虑到城市轨道交通规模的不断扩大和人力成本的增加，自动化和智能健康监测技术将成为轨道交通运维最重要的发展方向之一。基于视觉测量技术的高精度、全场数据采集，结合摄影测量和三维扫描技术，是提高监测智能化的有效途径。本文在相同条件下进行视觉测量和全站仪技术在多点测量中的精度测试，并根据实验和测试收集的各种数据集对精度和可靠性进行比较。提出了一种新的视觉测量技术，用于隧道结构的沉降和收敛等变形监测。结果表明，该测量系统的分辨率为0.01 mm，优于全站仪分辨率，垂直和水平位移偏差率为1.6%和2.5%，表明该系统具有良好的实用潜力。在分辨率和精度方面的应用。