Recognition And Information Extraction Of Rock Mass Structural Plane Based On 3D Laser Scanning

The structural planes developed in the rock mass are also called discontinuous planes,including layers,slices,faults,joints,etc.,their spatial distribution and production status constitute weak parts in the rock mass,which is the key to control the stability of the rock mass factor.Using traditional measurement tools such as compass and tape measure cannot quickly and accurately investigate the structural surface of high slopes,and it is difficult to provide reference structural surface data for the study of high slope stability.Three-dimensional laser scanning technology has the advantages of non-contact,long distance,fast and accurate.As a new method to obtain threedimensional spatial data,high-precision and high-density point cloud data can comprehensively and accurately display the true situation of the slope rock surface,and then extract the structural plane information to provide stability evaluation for rock mass.Important basic data.In this paper,with the help of massive high-slope point cloud data obtained by 3D laser scanning technology,in-depth research on the identification of structural planes and information extraction methods,and taking the high steep limestone along the Yudong River Basin in Longchang Town,Kaili City as an example,Combined with onsite investigation,the extracted structural plane information is used in the evaluation of CSMR rock mass quality.The whole process from point cloud data to rock mass quality evaluation is realized.The main research contents and results of this article are as follows:(1)An overview of rock mass structural plane survey methods,detailed discussion of the advantages and disadvantages of existing rock mass structural plane identification methods and information extraction methods,and a summary of the application of structural plane information in engineering.(2)A detailed description of a structural plane recognition extraction method based on the three-dimensional point cloud normal vector.Firstly,a random Hough space transformation is used to calculate the normal vector of the three-dimensional point cloud,and the calculation principle and parameter values of the algorithm are studied.Secondly,coloring the point cloud with normal vectors in the HSV color space,so that the point cloud data of different structural planes have colors representing their inclination and inclination.Then use the improved algorithm based on K-means clustering algorithm spherical Kmeans clustering to group point clouds with normal vectors and colors to achieve the identification and extraction of structural planes,and finally through regular icosahedrons and slate The point cloud data verifies the above method,and the effect is better.(3)Use the normal vector of the structural plane point cloud to complete the extraction of structural plane occurrence information.The DSE program based on Matlab is used to calculate the structural plane spacing and ductility of the extracted structural plane point cloud,and considers whether the discontinuous structural planes need to be merged during the calculation process,and realizes the automatic extraction of complex structural plane geometric information,Is conducive to a comprehensive understanding of the slope rock mass structure.(4)Taking the collapse of Kaili Longchang Town and the two limestone slopes along the Yudong River as examples,the method of this paper was used to identify and extract the rock mass structural planes exposed on the slope,and calculate each group of structures.Noodle appearance,spacing,ductility.The unfavorable combination of the structural surface of the slope is analyzed by the erythroscopic projection of the structural plane and the isopolar density map.At the same time,combined with on-site investigation and indoor limestone uniaxial compressive experiments,the rock mass quality classification work was carried out on the slope,and more reliable results were obtained.The entire process from data collection to rock mass quality evaluation was realized,providing engineering construction.Informatized survey methods.