An intelligent interpretation method of rock mass structural plane based on point cloud and GPU technology

Abstract

The invention discloses an intelligent interpretation method of rock mass structural plane based on point cloud and GPU technology, and the collected rock mass laser point cloud data is processed as follows: the first step is to calculate the point cloud based on GPU parallel computing and linear regression method The normal vector of each point in the data; the second step, using the improved region growing method to identify the structural surface feature point set; the third step, using the improved convex hull scanning method to extract the structural surface boundary from the final structural surface feature point set; Four steps, automatically interpret the trace length, occurrence and spacing of the structural surface based on the contour point calculation. The method of the present invention can realize the extremely fast calculation of massive point cloud data, break through the efficiency bottleneck of identifying structural planes based on point clouds in the past, accurately, quickly and efficiently obtain rock mass structural plane information, and at the same time can perform high-precision delineation of structural plane boundaries, and then Calculate the exact trace length of the structural plane.

Description

technical field [0001] The invention belongs to the technical field of rock mass structural plane extraction, in particular to an intelligent interpretation method for rock mass structural planes based on point cloud and GPU technology. Background technique [0002] Due to the developed structural planes inside the rock mass, the rock mass shows a certain structure, and also directly affects the mechanical properties of the rock mass. How to efficiently and accurately obtain the geometric information of rock mass discontinuities has become a hot and difficult problem in rock mass engineering. In actual engineering, due to the advantages of convenient measurement means and accurate measurement results, the manual on-site contact measurement method is widely used in structural surface measurement. However, this method has some disadvantages, such as low contact measurement efficiency, potential safety hazards and incomplete measurement results. [0003] Three-dimensional las...

AI Technical Summary

Problems solved by technology

[0004] There are roughly three types of existing point cloud-based rock mass structural plane measurement methods: the first type of method needs to manually select more than three points, and extract structural plane information based on this, which is highly subjective and inefficient

The second type of method is to use the TIN network model. This type of method has the following disadvantages: 1) part of the point cloud will be lost after triangular meshing, and there is some distortion in describing the surface details; 2) when there are many discrete points in the point cloud data, or When the point cloud data is in a closed state, the process of triangular meshing will produce more errors, and even many deformed triangles will appear

Although this type of method avoids the shortcomings of the above two types of methods, it takes about ten minutes to process a million-level point cloud; and in actual engineering applications, rock mass point cloud data is often tens of millions of levels. At this time, the traditional The structural surface recognition algorithm has been far from meeting the efficiency requirements, which has hindered the practical application of structural surface extraction based on point clouds

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