路基工程Issue(3)：38-43,6.DOI:10.13379/j.issn.1003-8825.202411036
基于BDS+IoT的极端降雨气候下路基智能监测预警研究
Research on Intelligent Monitoring and Early Warning of Subgrade under Extreme Rainfall Based on BDS+IoT
摘要
Abstract
To obtain the stability of subgrade under continuous heavy rainfall and conduct real-time intelligent monitoring and early warning,this study analyzed the stability of a road subgrade in western Hunan mountainous area under rainfall infiltration.It proposed a monitoring and early warning threshold for subgrade slope displacement under extreme rainfall and implemented intelligent subgrade monitoring and early warning using technologies such as Internet of Things(IoT)and BeiDou Satellite(BDS)positioning.The results show that:rainfall significantly affects subgrade slope stability,with internal pore water pressure continuously increasing as rainfall infiltrates,accompanied by a gradual expansion of transient saturated zones.Under prolonged heavy rain conditions,the safety factor of subgrade slopes declines rapidly.The proposed relationships among the stability factor,stability state,horizontal displacement at the platform,and warning level provide a reliable basis for setting displacement monitoring and warning thresholds.Through IoT,BDS positioning,cloud platform,and other technologies,real-time intelligent monitoring of subgrade is achieved during extreme rainfall.The triggered warnings effectively prompt on-site personnel to conduct checks,treatments,and verifications,aiding in timely hazard identification and avoiding decision-making delays.This can serve as a reference for ensuring subgrade safety in areas frequently affected by extreme rainfall.关键词
高速公路/山区路基/极端降雨/智能监测/北斗定位/稳定性/安全性Key words
expressway/subgrade at mountainous area/extreme rainfall/intelligent monitoring/BeiDou Positioning/stability/safety分类
交通工程引用本文复制引用
黎治国,巢万里,董志卫,刘文劼,范利民,宋国庆..基于BDS+IoT的极端降雨气候下路基智能监测预警研究[J].路基工程,2026,(3):38-43,6.基金项目
湖南省交通科技项目(202214) （202214）
中交三公局科技创新项目(3GS-GX-0699-2022-0002) （3GS-GX-0699-2022-0002）
