浅埋隧洞塌方灾害微震实时监测与智能预警  

Real-time Microseismic Monitoring and Intelligent Early Warning for Collapse Disaster in Shallow Tunnel

作　　者：苏国韶[1,2,3] 黄京华 蒋剑青 胡小川 SU Guoshao;HUANG Jinghua;JIANG Jianqing;HU Xiaochuan(School of Civil Engineering and Architecture,Guangxi University,Nanning 530004,Guangxi,China;Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education,Nanning 530004,Guangxi,China;Guangxi Provincial Engineering Research Center of Water Security and Intelligent Control for Karst Region,Nanning 530004,Guangxi,China;The Civil Engineering Group Corporation of China Second Engineering Bureau Ltd.,Beijing 101100,China)

机构地区：[1]广西大学土木建筑工程学院,广西南宁530004 [2]工程防灾与结构安全教育部重点实验室,广西南宁530004 [3]广西岩溶区水安全与智慧调控工程研究中心,广西南宁530004 [4]中建二局土木工程集团有限公司,北京101100

出　　处：《水力发电》2025年第1期28-36,共9页Water Power

基　　金：国家自然科学基金资助项目(52169021);中国建筑第二工程局有限公司科技资助计划(2022ZX050001);广西研究生教育创新计划资助项目(YCBZ2024066)。

摘　　要：针对浅埋隧洞围岩塌方灾害难以有效预警的问题,对微震传感器的多断面分散式布置方式、微震传感器的锚杆端安装方案、微震监测信号的高效降噪与智能识别方法、塌方灾害预警的风险管理等级标准、微震监测信号的云端智能分析平台以及基于微震监测的塌方智能预警系统等若干关键技术进行了研究,并应用于广西那板水库新建1号灌溉发电放水系统引水隧洞工程。结果表明,所研发的关键技术是可行的,可解决已有微震监测技术不完全适用于浅埋隧洞破碎围岩的局限性问题,能有效提高隧洞塌方微震监测与预警的实时性与工作效率,并结合工程案例给出了基于微震特征参数的隧洞塌方前兆特征。In view of the difficulty of effective warning of surrounding rock collapse disaster in shallow-buried tunnels,several key technologies are studied,including the multi-section distributed layout of microseismic sensor,the bolt end installation scheme of microseismic sensor,the efficient noise reduction and intelligent identification method of microseismic monitoring signal,the risk management level standard of collapse disaster warning,the cloud intelligent analysis platform of microseismic monitoring signal and the intelligent collapse warning system based on microseismic monitoring.These technologies are applied to the diversion tunnel project of the newly built No.1 irrigation and power generation water release system in Naban Reservoir,Guangxi.The results show that the key technologies developed are feasible,can solve the limitation problem that the existing microseismic monitoring technology is not fully applicable to the broken surrounding rock of shallow tunnel,and can effectively improve the real-time and work efficiency of tunnel collapse microseismic monitoring and early warning.Combined with the project case,the tunnel collapse precursor characteristics based on microseismic characteristic parameters are presented.

关 键 词：浅埋隧洞 塌方灾害 微震特征 实时监测 智能预警 

分 类 号：TV554[水利工程—水利水电工程]