Research On The Geological Landslide Monitoring And Early Warning System Based On Cloud Platform

At present,geological disasters occur frequently in my country.Threr is an urgent problem to be solved in social development and progress how to manage and prevent geological landslide disasters.Now,a preliminary geological landslide monitoring and early warning system has been formed in China,and certain achievements have been made in the field of geological disaster early warning.However,due to the insufficient integration and dispersion of the three links of investigation,monitoring and early warning in the geological disaster prevention and control project,the preliminary geological landslide monitoring and early warning system still cannot meet the needs of geological disaster prevention and control in my country.Therefore,it is of great practical significance to explore and solve the shortcomings of the current geological disaster monitoring and early warning system,and to develop a geological landslide monitoring and early warning system that integrates multi-source information collection and intelligent risk assessment.The main focus in the paper is to monitor rainfall-type landslide hazards and prevent their instantaneous destabilization.Therefore,this paper adopts a landslide deformation monitoring technique based on groundwater monitoring,supplemented by external triggering factors monitoring.In the paper,a software and hardware model of a geological landslide monitoring and early warning system based on an embedded platform is firstly constructed and the overall hardware and software design ideas of the system are described.Then designed the hardware circuit and hardware driver of the STM32-based geological landslide monitoring and warning system.Then,by identifying risk sources for monitoring slopes,constructing a geological landslide risk evaluation index system,and exploring and verifying the feasibility of a hybrid evaluation model based on SVM-BP for landslide hazard safety by combining emerging machine learning methods.subsequently design the software platform of the geological landslide monitoring and early warning system on the basis of what can be achieved by considering the functional requirements of each part of the software platform in a comprehensive manner.Finally,the hardware equipment of the geological landslide monitoring and early warning system and its corresponding software were developed,and the functions and performance of the geological landslide monitoring and early warning system were verified after actual testing.The landslide field investigation,monitoring and early warning are closely combined to realize the functions of intelligent real-time monitoring and risk assessment of geological landslides.