Study On Landslide Monitoring Data Processing Method Based On Laser Point Cloud

Landslide is a common geological disasters and multiple in our country. Because of the poor timeliness of the landslide monitoring, although the state invested large amounts of funds for the landslide treatment, but the landslide geology disasters in our country are still very serious, according to statistics, the direct economic loss caused by landslides as high as 2 billion yuan every year, so the landslide monitoring and prevention is now imminent.At present,3D laser scanner technology has been widely applied to landslide monitoring, laid the data foundation for the prevention of landslide. So the data processing is the core of landslide monitoring and prevention, but the data processing have two sets of problems:one is due to the active surface reconstruction method applied to the landslide surface reconstruction have some defects, for example, it’s surface boundary adaptability is poor, lead to influence the model precision of landslide surface; the two is the data analysis, nowadays, although the data analysis methods can make the overall deformation prediction of landslide by establish the model of the whole slope, but failed to consider the contact between landslide deformation and influencing factors, which explored the deformation of the landslide and stability analysis is not quite good enough. These problems lead directly to the low efficiency and poor accuracy of data processing and analysis.Therefore, by using more flexible model reconstruction method, and combined with the incremental insertion algorithm and building block algorithm for triangulation, establish the landslide surface DEM to extract feature information of point cloud data, and prepare data for landslide deformation analysis; establish the model of the relation between the factors and landslide deformation based on the principle of probability statistics and numerical analysis. At the same time, using C# language development the processing prototype system based on point cloud, the prototype system has following features:operation friendly, access to information more quickly, the relationships between landslide deformation and each factor can be quantitative calculation. Apply it to a instance of landslide monitoring, got the more intuitive image of landslide surface model, and got the landslide deformation information, and through quantify the impact factor, to got that human engineering activities is the most important factors caused the landslide deformation.Experiments show that the function of prototype system is reliable in operation, through reference triangle network modeling method and the quantitative calculation of landslide deformation influence factors, which makes the monitoring of landslide prevention is accurate and reliable, meet the demand of landslide research work of data processing and analysis basedon the point cloud, and also provides new ideas for the landslide data processing.