TY  - JOUR
PY  - 2021//
TI  - Machine inspection equipment for tunnels: a review
JO  - Journal of highway and transportation research and development (English edition)
A1  - Huang, Zhen
A1  - Zhangg, Chen-long
A1  - Fu, He-lin
A1  - Ma, Shao-kun
A1  - Fan, Xiao-dong
SP  - 40
EP  - 53
VL  - 15
IS  - 2
N2  - Artificial method is the main method of tunnel lining structure safety detection at present, which has strong subjectivity, a 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, multifunction, big data, high efficiency, and high precision.<p />  <p>Language: en</p>
LA  - en
SN  - 2095-6215
UR  - http://dx.doi.org/10.1061/JHTRCQ.0000774
ID  - ref1
ER  -