Geological dangerous rock body stability evaluation method with linear feature extraction

Abstract

The invention, which relates to the technical field of stability evaluation of a dangerous rock body, discloses a geological dangerous rock body stability evaluation method with linear feature extraction. The method comprises: coarse registration and precise registration are carried out on two-stage point cloud data; with a Kriging interpolation method, dangerous rock body surface models are generated; gray-scale quantification processing is carried out on three-dimensional coordinate point sets of regular grids in the dangerous rock body surface models according to a Z value of each point; with an edge detection operator, feature line extraction is carried out on two dangerous rock body surface depth images; according to a correspondence relationship between three-dimensional coordinate points of the regular grid in the dangerous rock body surface model and pixel points in the dangerous rock body surface depth images, deformation values of corresponding points in the three-dimensional coordinate point sets of the regular grid feature lines in the two dangerous rock body surface models are calculated and thus stability of the dangerous rock body during the monitoring cycle is determined. With the method provided by the invention, linear features of the landslide surface of the dangerous rock body are extracted; and with the obtained three-dimensional deformation value, the stability inside the rock body can be analyzed based on deformation situations of the three directions.

Description

technical field [0001] The invention relates to the technical field of evaluating the stability of dangerous rock mass, and more specifically relates to a method for extracting linear features for evaluating the stability of geologically dangerous rock mass. Background technique [0002] In areas with high and steep slopes, such as rocky slopes in mountainous areas, cliffs, etc., small-scale rock collapse is the most common type of landslide. Small-scale rock collapse causes rapid landslides. Once a disaster occurs, the damage will be huge. [0003] At present, a lot of research has been done on the stability of various dangerous rock mass landslides by using 3D laser scanning technology. The movement trend of the rock mass, these schemes can realize the deformation monitoring of the dangerous rock mass landslide, but the deformation monitoring results are limited to the analysis of the local surface movement of the dangerous rock mass, and the one-dimensional deformation va...

AI Technical Summary

Problems solved by technology

[0006] The embodiment of the present invention provides a linear feature extraction method for evaluating the stability of geologically dangerous rock mass, which is used to solve the problem in the prior art that the results of monitoring the stability of dangerous rock mass are limited to the local surface movement of dangerous rock mass Analysis, whose analysis is not comprehensive enough

Images