Abstract: Due to the long length of the tunnel, the low efficiency of manual detection and the strong subjectivity, automated and information-based monitoring and detection methods were required for daily operation and management maintenance, and timely diagnosis and prevention. This study introduced several common defects in tunnels and several commonly used monitoring and detection technologies at home and abroad, and analyzed their respective characteristics and detection capabilities. Three common inspection system equipments- UAV, inspection vehicle, and inspection robot were presented, and the applicable conditions and environment were analyzed. The future development trend of tunnel intelligent monitoring and detection was prospected. It was proposed that the development of a variety of comprehensive detection technologies, combined with artificial intelligence and big data analysis is the future trend of intelligent development of tunnel monitoring and detection.
陈湘生, 徐志豪, 包小华, 崔宏志. 隧道病害监测检测技术研究现状概述[J]. 隧道与地下工程灾害防治, 2020, 2(3): 1-12.
CHEN Xiangsheng, XU Zhihao, BAO Xiaohua, CUI Hongzhi. Overview of research on tunnel defects monitoring and detection technology. Hazard Control in Tunnelling and Underground Engineering, 2020, 2(3): 1-12.
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2020, Vol. 2 
