基于物联网技术的大型深层滑坡演化机理及变形特征研究
Research on Evolution Mechanism and Deformation Characteristics of Large-Scale Deep-Seated Landslides Based on Internet of Things Technology
陈建宇 1李英成 1刘洋1
作者信息
- 1. 重庆市建筑科学研究院有限公司,重庆 400016;重庆市建设工程质量检验测试中心有限公司,重庆 400016
- 折叠
摘要
我国是一个滑坡灾害多发的国家,尤其是在我国西南地区,大型深层滑坡的防治一直是社会关注的重点.随着近年来计算网络及通信技术的发展和数字理念的提出,物联网技术也得到了飞速发展,越来越多地运用到大型深层滑坡的监测中,监测结果更具实时性和客观性.该文以某基于物联网技术的高速边坡滑坡监测为工程实例,分析了边坡深层滑坡的演化机理,并根据其边坡的变形特征监测的实测数据分析结果,评价滑坡体的实时状态,研究成果可为类似工程的监测及灾害预测提供参考.
Abstract
China is a country prone to landslide disasters,especially in the southwestern region,where the prevention and control of large-scale deep-seated landslides have always been a focus of social concern.With the development of computer networks,communication technologies,and the emergence of digital concepts in recent years,the Internet of Things(IoT)technology has also undergone rapid development and has been increasingly applied to the monitoring of large-scale deep-seated landslides,resulting in more real-time and objective monitoring results.This paper takes a high-speed slope landslide monitoring project based on IoT technology as an engineering case,analyzes the evolution mechanism of deep-seated slope landslides,and evaluates the real-time state of the landslide body based on the analysis results of measured data from the monitoring of slope deformation characteristics.The research findings can provide a reference for the monitoring and disaster prediction of similar projects.
关键词
滑坡/监测/物联网/变形特征Key words
Landslide/Monitoring/Internet of Things(IoT)/Deformation Characteristics引用本文复制引用
出版年
2024
NETL
NSTL
万方数据