Research On Prediction And Fuzzy Control Of Landslide Based On Data

Recently, in the process of modernization and urbanization of human society, the occurrence of natural disasters are intensified by the destruction of the ecological environment. Landslide is a very common geological disaster, which endangered human lives and properties directly or indirectly. Hence the research on landslide has a very important economic and practical significance.Firstly, the research status on landslide prediction, landslide control and 3D visualization of landslide is summarized in this thesis. And then, using the Baishuihe landslide and Liangshuijing landslide as the research objects, the exponential smoothing and BP neural network are introduced to the landslide prediction, which achieves a satisfactory result. Based on the research of landslide prediction, in order to slow the rate of change of landslide displacement, Fuzzy Control is introduced to discuss control strategy of slope. According to the contour maps and monitoring data of Baishuihe landslide, a virtual geographic model of Baishuihe landslide is established on the Creator platform, and then the evolution of the whole process of landslide is demonstrated on Vega Prime. Finally the article summarizes the deficiencies and the study points which needs to broaden and deepen in the three aspects of the study, and also gives some suggestions.Three main issues in today's landslide research are discussed in this thesis. Using the monitoring data for displacement prediction, with control means to control the future direction of landslide, the evolution of landslide is presented through 3D visualization, three aspects form an integrated system, which has a certain reference value for the landslide study.