Tailing pond dry beach important parameter extraction method and system based on three-dimensional laser point cloud

Abstract

The invention provides a tailing pond dry beach important parameter extraction method and system based on three-dimensional laser point clouds, and the method comprises the steps: 1, carrying out the range division, voxel down-sampling, filtering and denoising preprocessing of tailing pond three-dimensional laser point cloud data; 2, establishing a multi-dimensional feature model combining spatial features and laser reflectivity features, and proposing a dam body, dry beach and water surface boundary segmentation method based on Z gradient; 3, proposing a dry beach extraction model based on point cloud reflection intensity segmentation; 4, for the point cloud after dry beach segmentation, providing a dam body candidate set segmentation method based on linearity, establishing a main and auxiliary dam extraction model based on connectivity, and obtaining a dam body analytical equation; and 5, providing a point cloud-based dry beach parameter calculation method, setting calculation parameters along the main dam and the auxiliary dam, and calculating the length and gradient of the dry beach. The method and system have the advantages of low cost, high accuracy, wide range and the like, and can provide important basis for analysis and pre-arranged planning of safety accidents such as tailing pond dam break and the like.

Description

technical field [0001] The invention belongs to the field of mine safety monitoring, in particular to a method for extracting important parameters of dry beaches of tailings ponds based on three-dimensional laser point clouds. In the production process, important parameters related to the length and slope of the dry beach of the tailings pond are extracted, which can be used to scientifically carry out safety monitoring and risk assessment of the tailings pond. Background technique [0002] The tailings pond is a place used to store mining waste in the production process. The waste water in the pond aggregates the harmful chemicals added and reacted in the production. The tailings dam mainly intercepts the solid tailings and water in the tailings slurry in the reservoir area. , in order to prevent waste from leaking and causing serious impact on the surrounding environment. [0003] With the gradual discharge of tailings slurry in the tailings pond, the tailings slurry in t...

AI Technical Summary

Problems solved by technology

[0005] The above-mentioned traditional method of measuring dry beach parameters has two disadvantages: one is that the overall cost of the deployment of monitoring equipment for the tailings reservoir is relatively high, and the other is that the traditional dry beach parameter extraction method cannot take into account the parameters obtained when the overall scheme is easy to implement. Versatility and Accuracy

The method of calculating and analyzing equipment point data has the problem of small amount of data. The limited equipment can only collect local data of the tailings pond, and the overall dry beach length cannot be obtained according to the demand; the parameters obtained by using image processing technology are limited, and with the support of existing technologies, only The parameters of the length of the dry beach can be obtained, but it cannot meet the requirements for the analysis and acquisition of parameters such as the height of the beach top, the length of the dry beach, and the slope of the dry beach in the "Technical Specifications for Tailings Pond Safety (AQ 2030-2010)", and the safety risk of the tailings pond cannot be realized. comprehensive assessment of

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