Image analysis-based dump leaching uranium ore particle size parameter identification method

Abstract

The invention provides an image analysis-based dump leaching uranium ore particle size parameter identification method. The image analysis-based heap leaching uranium ore particle size parameter identification method includes the following steps that: three dimensional feature information of a typical uranium ore is extracted, the minimum projection area of the uranium ore is calculated, and the screening size of the uranium ore is determined according to the minimum projection area; a single-layer broken uranium ore image adhesion phenomenon is processed, and single-layer broken uranium ore three-dimensional feature information is extracted, and the screening size and block distribution of a broken uranium ore are calculated; calculation errors are analyzed, the uranium ore block distribution which is obtained through calculation is corrected; and an optimum block distribution prediction mathematic model can be obtained through derivation according to the uranium ore lock distribution situation. According to the image analysis-based dump leaching uranium ore particle size parameter identification method of the invention, an ore screening size manual detection method is simulated, and therefore, defects of existing 2D or 3D image analysis methods can be eliminated, and more accurate uranium ore screening size distribution data can be obtained.

Description

technical field [0001] The invention belongs to the technical field of mining, in particular to an image analysis-based identification method for heap leaching uranium ore particle size parameters. Background technique [0002] Due to the rapid development of nuclear power, the demand for natural uranium in nuclear power is increasingly strong, and uranium mining and metallurgy has entered a new stage of development. Heap leaching has developed into a supporting technology for uranium production in many countries in the world, and the output of uranium produced by heap leaching is increasing. Ore particle size is a key factor affecting the leaching rate and leaching cycle of uranium ore heap leaching. Block size distribution is a key technical index of heap leaching uranium mining method, which is directly related to technical indexes such as leaching rate, blasting heap construction cost, acid consumption, etc. Whether it is reasonable or not determines the quality of econ...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a method for identifying particle size parameters of heap leaching uranium ore based on image analysis, aiming to solve the problem that the existing 2D image analysis method cannot accurately identify the particle size distribution of heap leaching uranium ore, and make up for the fact that the 3D image analysis method can only accurately identify Imperfection of ore lump size close to spherical

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