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Sensors (Basel). 2018 Feb 1;18(2). pii: E420. doi: 10.3390/s18020420.

Study of the Integration of the CNU-TS-1 Mobile Tunnel Monitoring System.

Du L1,2, Zhong R3,4, Sun H5,6, Zhu Q7,8, Zhang Z9,10.

Author information

1
Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China. limingado@163.com.
2
College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China. limingado@163.com.
3
Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China. zrf@cnu.edu.cn.
4
College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China. zrf@cnu.edu.cn.
5
Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China. sunhaili@cnu.edu.cn.
6
College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China. sunhaili@cnu.edu.cn.
7
Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China. z770867381@163.com.
8
College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China. z770867381@163.com.
9
Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China. zzrango@163.com.
10
College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China. zzrango@163.com.

Abstract

A rapid, precise and automated means for the regular inspection and maintenance of a large number of tunnels is needed. Based on the depth study of the tunnel monitoring method, the CNU-TS-1 mobile tunnel monitoring system (TS1) is developed and presented. It can efficiently obtain the cross-sections that are orthogonal to the tunnel in a dynamic way, and the control measurements that depend on design data are eliminated. By using odometers to locate the cross-sections and correcting the data based on longitudinal joints of tunnel segment lining, the cost of the system has been significantly reduced, and the interval between adjacent cross-sections can reach 1-2 cm when pushed to collect data at a normal walking speed. Meanwhile, the relative deformation of tunnel can be analyzed by selecting cross-sections from original data. Through the measurement of the actual tunnel, the applicability of the system for tunnel deformation detection is verified, and the system is shown to be 15 times more efficient than that of the total station. The simulation experiment of the tunnel deformation indicates that the measurement accuracy of TS1 for cross-sections is 1.1 mm. Compared with the traditional method, TS1 improves the efficiency as well as increases the density of the obtained points.

KEYWORDS:

cross-section; deformation detection; dynamic measurement; mobile tunnel monitoring system; multi-sensors; three-dimensional laser scanning

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