摄影测量学
自动化
流离失所(心理学)
可靠性(半导体)
变形监测
全站仪
数据采集
结算(财务)
结构健康监测
计量系统
计算机科学
工程类
实时计算
人工智能
计算机视觉
模拟
变形(气象学)
结构工程
大地测量学
机械工程
地理
天文
量子力学
心理治疗师
心理学
功率(物理)
气象学
付款
万维网
物理
操作系统
作者
Xiangyang Xu,Peixin Shi,Xiaoqi Zhou,Wei Liu,Hao Yang,Tong Wang,Minjun Yan,Wenbin Fan
标识
DOI:10.1080/15376494.2020.1854908
摘要
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.
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