Research And Implementation Of Landslide Monitoring System

According to data from the National Geological Disaster Bulletin of 2015,we can know that China is a country with many geological disasters,in which the economic losses caused by landslides amounted to billions and the number of casualties was thousands,therefore,the monitoring and forecasting of landslide could minimize the loss caused by landslides.So far,the monitoring and prevention of landslide disaster has not formed a set of mature theoretical methods.Based on the monitoring data,this paper focuses on the pretreatment method of landslide monitoring data,the establishment of various prediction models,and the construction of landslide monitoring and forecasting system.The contents and conclusions are mainly divided into the following aspects:(1)According to the positioned principle of the landslide monitoring point,selecting suitable landslide monitoring network and measuring instrument,establishing the data acquisition system,and returning the displacement data to the back-end monitoring system;using various of test methods to remove exception data;using various of interpolations to replenish the missing data,and using the Tangent angle methods to analysis the deformation stage of landslides;(2)Using Multiple predictive models to build the landslide deformation trend model,and getting a sequence of forecast data;then using the combining models to combine the three kinds of forecasting models,the predicted value obtained by variance reciprocal method is the most accurate in the variable weight combination.(3)Based on MATLAB Software GUI Toolbox develops a landslide forecast warning platform,storing data in the database,and can extract the data from the database to the warning platform,carries on the data preprocessed by various methods,and establishing the forecast models by using the processed data,then getting the Prediction of landslide displacement trend.