Machine Inspection Equipment for Tunnels: A Review
黄震1, 张陈龙1, 傅鹤林2, 马少坤1, 樊晓东3
1. College of Civil Engineering and Architecture, Guangxi University, Nanning Jiangsu, 530004, China;
2. School of Civil Engineering, Central South University, Changsha Hunan, 410075, China;
3. Kuanyan(Beijing) Technology Development Co., Ltd, Beijing, 100089, China
Machine Inspection Equipment for Tunnels: A Review
HUANG Zhen1, ZHANGg Chen-long1, FU He-lin2, MA Shao-kun1, FAN Xiao-dong3
1. College of Civil Engineering and Architecture, Guangxi University, Nanning Jiangsu, 530004, China;
2. School of Civil Engineering, Central South University, Changsha Hunan, 410075, China;
3. Kuanyan(Beijing) Technology Development Co., Ltd, Beijing, 100089, China
摘要Artificial method is the main method of tunnel lining structure safety detection at present, which has strong subjectivity, large amount of labor and low efficiency, and the adverse environment of the tunnel is harmful to the health of detection workers. Tunnel machine detection methods can effectively overcome the shortcomings of artificial detection methods, and provide more abundant quantitative data. In this paper, the development of tunnel detection equipment at home and abroad in recent years is introduced, and the deficiencies in technology and function of current tunnel machine detection system are analyzed. Finally, based on the shortcomings of the current machine detection system, the future development of tunnel detection technology is prospected from the aspects of dual-purpose detection technology, full-automatic robot detection technology, dynamic intelligent detection platform and virtual reality detection technology. This review can provide some reference and guidance for the development of tunnel machine detection equipment in the direction of full automation, intelligence, multi-function, big data, high efficiency and high precision.
Abstract：Artificial method is the main method of tunnel lining structure safety detection at present, which has strong subjectivity, large amount of labor and low efficiency, and the adverse environment of the tunnel is harmful to the health of detection workers. Tunnel machine detection methods can effectively overcome the shortcomings of artificial detection methods, and provide more abundant quantitative data. In this paper, the development of tunnel detection equipment at home and abroad in recent years is introduced, and the deficiencies in technology and function of current tunnel machine detection system are analyzed. Finally, based on the shortcomings of the current machine detection system, the future development of tunnel detection technology is prospected from the aspects of dual-purpose detection technology, full-automatic robot detection technology, dynamic intelligent detection platform and virtual reality detection technology. This review can provide some reference and guidance for the development of tunnel machine detection equipment in the direction of full automation, intelligence, multi-function, big data, high efficiency and high precision.
基金资助:Supported by the Nature Regional Science Foundation of China(Nos. 51538009, 51608537, 51678166); Guangxi University Young and Middle-Aged Teachers Scientific Research Basic Ability Promotion Project(Nos. 2020KY01011)
通讯作者:
MA Shao-kun
E-mail: mashaokun@sina.com
引用本文:
黄震, 张陈龙, 傅鹤林, 马少坤, 樊晓东. Machine Inspection Equipment for Tunnels: A Review[J]. Journal of Highway and Transportation Research and Development, 2021, 15(2): 40-53.
HUANG Zhen, ZHANGg Chen-long, FU He-lin, MA Shao-kun, FAN Xiao-dong. Machine Inspection Equipment for Tunnels: A Review. Journal of Highway and Transportation Research and Development, 2021, 15(2): 40-53.
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2021, Vol. 15 
