Intelligent ore sorting equipment and method based on dual-energy X rays

Abstract

The invention discloses intelligent ore sorting equipment and method based on dual-energy X rays. The equipment comprises a material distribution device, an identification device, an execution device, a dust removal system, a heat dissipation system and an X-ray isolation protection system. The identification device comprises a dual-energy X-ray generating device arranged above a transmission belt and a dual-energy X-ray detector arranged below a direct radiation point of the dual-energy X-ray generating device; and the execution device is composed of an electromagnetic valve, a sorting air cylinder and a nozzle and used for controlling high-pressure air to blow and strike the ore in the throwing process of the target ore. According to the equipment, good material and waste material pictures are acquired through image acquisition to serve as a deep learning model training sample set, acquired ore sample images are processed, a target area is found and segmented, then small target images are sent into a trained classification model, confidence coefficients of good materials and waste materials are compared and recognized, according to the category after multi-classification information fusion, the material category is determined, the ore separation efficiency is improved, and meanwhile energy conservation and environmental protection are achieved.

Description

technical field [0001] The invention belongs to the technical field of ore sorting, and in particular relates to an intelligent sorting device and method for ore based on dual-energy X-rays. Background technique [0002] With the rapid development of various fields of modern industry, the market demand for ores, especially metal ores, is increasing. At the same time, the requirements for the taste of ores are getting higher and higher. Sorting is done manually, and workers need to endure long-term machine noise and dust infection, and the production efficiency of the method is low, the economic cost of sorting is high, and the sorting accuracy is relatively low. In recent years, CCD cameras and X-ray imaging methods have been used. This method utilizes the different attenuation degrees of raw materials with different densities under X-ray irradiation, and presents different projection intensities, thereby generating images with different gray features, and then using fusion ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a dual-energy X-ray-based intelligent ore sorting device and method, through image acquisition to obtain good material and waste pictures as a deep learning model training sample set, process the collected ore sample images, and find the target area And after segmentation, the small target image is sent to the trained classification model, which solves the problems that the existing ore and waste rock are not easy to distinguish and the efficiency of manual dry selection is low

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