Coal gangue device utilizing dual-energy dual-machine X-rays and identification method thereof

Abstract

The invention relates to a coal gangue device utilizing dual-energy dual-machine X-rays. The coal gangue device comprises a belt, an X-ray source and an air valve, a detector matched with the X-ray source is arranged on the belt in a manner of corresponding to the lower portion of the X-ray source, the air valve is arranged at the output end of the belt, and the detector is connected to an industrial control unit through an acquisition card; and the industrial control unit comprises a type identification module and an image processing module, the image processing module obtains the position and boundary information of materials and extracts high and low energy transmission data of the materials, and the type identification module performs a type identification algorithm on the high and low energy transmission data to obtain type information of the materials. According to the coal gangue device and the identification method thereof, double-radiation-source double-energy X-ray imaging is adopted, the composition proportion of substances can be accurately distinguished, the types of the materials can be correspondingly determined, double-energy imaging is related to the atomic sequences of the substances and is irrelevant to the particle size of raw coal, and an excellent identification effect is achieved.

Description

technical field [0001] The invention belongs to the technical field of coal gangue separation, and in particular relates to a coal gangue device utilizing dual-energy and dual-machine X-rays and an identification method thereof. Background technique [0002] In the process of coal production, the coal directly mined from the coal mining area without any processing is called raw coal. Raw coal contains impurities such as gangue, anchor rods, and iron blocks, among which gangue is formed during the coal formation process. Gangue has the characteristics of high density and low calorific value, and contains a large amount of heavy metals. Mixing in coal will reduce the combustion efficiency, and the combustion products will aggravate environmental pollution. [0003] In the prior art, the coal gangue automatic sorting system based on X image processing mainly realizes the real-time intelligent sorting of coal and gangue, improves the quality of coal, and utilizes gangue more ef...

AI Technical Summary

Problems solved by technology

This method has high requirements for coal gangue image preprocessing, and artificially designed grayscale, texture and other feature information for classification are less, and these features are only pixel features of coal gangue images, which belong to low-level feature information, and cannot be efficiently processed. coal gangue image recognition

At the same time, this method still has problems such as difficult feature extraction, complex algorithm design, weak generalization ability, poor adaptability, and failure to solve the location of coal gangue.

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