Intelligent ore sorting machine

Abstract

The invention relates to the technical field of sorting mechanical equipment, in particular to an intelligent ore sorting machine. The machine adopts a three-dimensional laser imaging system to reconstruct a three-dimensional structure of an ore, shape information of the ore can be obtained, a first detection mechanism can be combined with the shape of the ore to accurately identify the ore, the ore containing thin mineral substances cannot be missed, the detection precision of the ore is improved, the yield of the qualified ore is increased, quartz with wide commercial values in a waste rockcan be further recognized and separated from a metamorphic rock in combination with a second detection mechanism, the utilization rate of the waste rock is increased, the overall resource utilizationrate of a raw ore is increased, the complexity of waste rock treatment in the later period is reduced, and benefits are increased for enterprises.

Description

technical field [0001] The invention relates to the technical field of sorting machinery and equipment, in particular to an intelligent ore sorting machine. Background technique [0002] Most of the existing intelligent ore sorting machines are based on X-ray imaging or X-ray fluorescence spectrum detection and identification technology to realize the function of ore sorting. The principle based on X-ray imaging is to use ore elements and other elements in the ore to The attenuation ability of X-rays is different, and the image obtained by the final imaging has a difference in color depth, so as to identify the content of minerals in the ore, and because mineral elements generally have a strong attenuation ability to X-rays, the color after imaging will be relatively Darker ore without or with less content has weak attenuation ability to X-rays, and the color after imaging will be relatively light. However, if the raw ore is not uniformly crushed, some ore with high content ...

AI Technical Summary

Problems solved by technology

[0002] Most of the existing intelligent ore sorting machines are based on X-ray imaging or X-ray fluorescence spectrum detection and identification technology to realize the ore sorting function. The principle based on X-ray imaging is to use ore elements and other elements in the ore to The attenuation ability of X-rays is different, and the image obtained by the final imaging has a difference in color depth, so as to identify the content of minerals in the ore, and because mineral elements generally have a strong attenuation ability to X-rays, the color after imaging will be relatively Darker ores without or with less content have weak attenuation ability to X-rays, and the color after imaging will be relatively light. However, if the raw ore is not uniformly crushed, some ores with high content after crushing will be thinner , then the image obtained after X-ray imaging is relatively shallow, which is not conducive to the identification of ore and reduces the quality of beneficiation; and the technology based on X-ray fluorescence spectrum detection also has the same problem. When the ore is found, the equipment will identify this type of ore as waste rock, affecting the identification of ore and reducing the quality of beneficiation; and when the ore is identified by X-ray imaging technology, two materials will be obtained: qualified ore and waste rock, but waste Not all stones are metamorphic rocks with low value. Usually, the waste rock after separation will contain a certain amount of quartz. Quartz has a wide range of uses and can be widely used in glass, casting, ceramics, plastics, rubber and refractory materials. Therefore, , quartz has more commercial value than metamorphic rock, but the existing ore sorting machine only separates ore and waste rock, and does not have the function of separating quartz from waste rock

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