Application Research On GPS-based Loess Slope Deformation Monitoring

Slope hazard is the most serious disasters of geological engineering. With the development of civil engineering in recent years, slope engineering become an integral part of many buildings in Northwest China. In order to reduce collapse losses caused slope disasters, the slope stablity and safety should be monitored and forecasted in time. Slope deformation monitoring has a variety ways, which include simple manual method and some modern monitoring methods with precision instrument, such as GPS, TDR and measuring robots and these has already widely used in monitoring and forecasting in disasters as Landslide, slope collapses etc. By analyzing the deformation mechanism of loess slope formating, this paper studied the relevant technical theories and solutions of loess slope deformation monitoring, introduced the application and characteristics of GPS technology in the deformation monitoring and applied it in a practical engineering slope deformation monitoring. Finally a forecasted model of the slope slide was established with the monitoring data to predict its deformation tendency.The main achievements can be summarized as follows:(1) Using Kalman filter model, dynamic gray prediction model and the dynamic filtering algorithm based on gray forecasting model to achieve dynamic tracking, predicting and comparing of the slope monitoring with data.(2) Using dynamic analysis to explore the displacement slope deformation prediction method with deformation data, and combine the slope of the deformation prediction with other types of dynamic track prediction models effectively.(3) According to the results of monitoring and the actual engineering problems to work out measures to control slope problems.