Slope Deformation Monitoring Method Based On3D Laser Scanning Technology

At present, our country is in a stage of rapid development of modernization. For large engineering construction, such as highway, railway, water conservancy and hydropower facilities, mining etc. in their construction and operation period, a large number of slope engineering will be formed. Once the occurrence of landslide, it will pose a serious threat to people’s life and property. At the same time it will also cause serious influence on national economic construction, restricting the rapid development of the national economy. Three dimensional laser scanning technology has some characteristics, such as non contact measurement, high spatial resolution, fast measurement speed. So this technology has broad application prospects in the field of slope deformation monitoring. This paper mainly focused on the use of 3D laser scanning technology in the deformation monitoring method.This paper first introduces the method and process of point cloud processing, including registration, filtering, simplification and DEM generation. In the process of monitoring, the result will be influenced by errors, So the idea of error correction is introduced into this paper. For System error, ICP algorithm and the plane features are used in this paper. And this paper does the following improvement: using the entire plane one time to calculate the rotation parameters and using the intersection of planes to calculate the translation parameters. For accidental error, due to the irregular features of points, neighborhood information is using to weaken the accidental errors. The method of calculate the center of gravity and the method of block fitting are used in this paper. In the process of error correction, we need to fit plane and to find the neighbor point. So RANSAC algorithm and kd-tree are used in this paper.According to this method, a simulation experiment is conducted in this paper. The points cloud is a mountain of a tunnel acquired by Riegl LMS-Z620.In the experiment, simulation deformation of 5cm, 3cm, 2cm are added. After the correction of system error and weaken of accidental errors, the deformation is extracted, which proves the effectiveness of the method. At the same time, an experiment of deformation monitoring of a railway side slope is conducted. The accessibility of this method was further assessed with monitoring slopes using 3D laser scanning technology.