Research on Evolution Mechanism and Deformation Characteristics of Large-Scale Deep-Seated Landslides Based on Internet of Things Technology
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.
LandslideMonitoringInternet of Things(IoT)Deformation Characteristics
NETL
NSTL
万方数据
