Design And Development Of Real-time Warning System For Landslide Disaster Based On Integration Of Space-Air-Ground

Landslide refers to the geological phenomenon in which part of the rock and soil on the slope loses its original balance under the combined action of gravity and other external forces,and slides down the sliding bed.It has strong susceptibility and vulnerability.Serious landslides can cause huge casualties.In striving to effectively avoid or reduce the losses caused by landslide disasters,a large number of research results have been formed,mainly focusing on pre-disaster monitoring and early warning and post-disaster engineering treatment.With the development of science and technology,landslide monitoring technology is becoming more and more perfect,the monitoring accuracy is greatly improved,and it is becoming more and more automated and intelligent,which greatly saves manpower and material resources.Landslide prediction models and algorithms based on monitoring data have become more and more accurate,which has improved the landslide prevention and control capabilities of government departments at all levels.This article focuses on how to design and develop a system based on the integration of space,air and ground multi-source detection technology to realize the identification and real-time warning of landslide disasters.This paper compares and selects the monitoring and early warning methods of three different platforms: space-based,air-based,and ground-based,and integrates them into one system.Through the comprehensive use of air-space-ground multi-source data like global navigation satellite system,drones,and surface monitoring data,developing a real-time warning system for landslides that integrates multi-source information.The information-in-one landslide real-time warning system provides statistical analysis functions of data.At the same time,the distribution of warnings and the number of warnings are visually displayed on the map,and warning messages are automatically sent when warnings are triggered,which can improve the active prevention capabilities of system users.The main results of this paper are as follows:(1)Choose early warning methods and early warning criteria at the three levels of space,air and ground.Since the data of the global navigation satellite system is less interfered and the data is more reliable,it is used as a space-based network monitoring and early warning method,and the slope method model is selected as the early warning criterion;in the air-based network,because the drone equipment is more stable and the technology is relatively mature,UAV remote sensing technology is selected as the monitoring and early warning method,and images are judged through visual interpretation;in terms of ground-based networks,since the Newtonian force monitoring and early warning model is more capable of monitoring and warning against sufficient conditions for the occurrence of landslides,the Newtonian force early warning criterion is selected as the ground-based early warning criterion.(2)Carry out system development and testing.Seven main functional modules are formed: homepage,source area management,global navigation satellite system data management,drone management,anchor management,contact management,and early warning management.Although the system has completed the expected development work,the author believes that the following contents need to be further studied:(1)In the selection of early warning models,it can be compared with more early warning plans,and the appropriate early warning plans and models can be selected.(2)In the actual early warning work,the system may need to be able to issue early warning information diversified,so the system for issuing early warning channels needs to be further expanded.