摘要
由于隧道沿线众长,人工检测效率低下且主观性强,需要自动化、信息化的监测检测方式来进行日常的运营维护管理,及时进行病害诊断和防治。介绍隧道中常见的几种病害和目前国内外常用的几种监测检测技术,分析各自的特点和检测能力。简述无人机、巡检车、巡检机器人3种常见巡检系统装备,对其使用条件和环境进行了分析。对隧道智能监测检测未来的发展趋势进行展望,提出运用多种综合测检测技术,结合人工智能和大数据分析是未来隧道监测检测智能化发展的趋向。
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.
作者
陈湘生
徐志豪
包小华
崔宏志
CHEN Xiangsheng;XU Zhihao;BAO Xiaohua;CUI Hongzhi(Underground Polis Academy,Department of Civil and Transportation Engineering,Shenzhen University,Shenzhen 518060,Guangdong,China)
出处
《隧道与地下工程灾害防治》
2020年第3期1-12,共12页
Hazard Control in Tunnelling and Underground Engineering
基金
国家重点研发计划资助项目(2018YFB2101000
2019YFC1511104)
关键词
隧道
监测
检测
病害
技术装备
tunnel
monitoring
detection
defect
technology
