Real Time Monitoring And Early Warning System For Landslides Based On Wireless Sensor Networks

Our country's geological conditions is complicated,landslides accidents frequently happened,pose a huge economics losses to people and nation and caused heavy casualties.In the above case,aim at the limitations of existing landslides monitoring techniques and landslides monitoring real needs,a real-time landslide monitoring system based on wireless sensor network was designed and developed.This system uses the technology of ZigBee protocol and 3G network to achieve fast,real-time and accurate access to the motion state information of landslide.In addition,multi-step prediction model of landslide being used to analyze the deformation law of landslide and then to monitor and predict the landslide.The real-time landslide monitoring system is mainly composed of a large number of displacement sensor acquisition nodes which monitor the landslides,collect terminal node and a remote monitoring center.Scattered in multiple point of collection terminal constitute a star network,through the ZigBee wireless communication mode.The collection terminal will gather in collected information by acquisition terminal to sink terminal node.In this dissertation,the hardware circuit and software design of convergence terminal and acquisition terminal will be introduced in detail.The software design of remote monitoring center platform and the implementation of multi-step prediction model of landslide based on particle swarm optimization algorithm and Elman algorithm are presented.At the same time,the example analysis of the related data is given.The staff use multi-step prediction model of landslide to analyze the movement trend of landslide,the analysis result can be used as an important reference for the prediction and early warning of landslides.Meanwhile,remote monitoring center can save data in case of historical query.