Method and device for identifying coal and coal gangue

Abstract

The invention provides a method and device for identifying coal and coal gangue. The device is capable of, according to the different densities of the coal and the coal gangue, using the synergistic effect of X-ray and a dot matrix probe and an ultrasonic ranging device to online-identify the coal and cola gangue and sort. The dot matrix probe is used, and the data processing quantity is about 1 / 50 of a linear array probe.

Description

technical field [0001] The invention belongs to the technical field of coal preparation, and relates to a method and equipment for identifying coal and gangue, which is suitable for on-line identification based on the difference in density of coal and gangue by using X-rays, lattice detectors and ultrasonic distance measuring devices. Coal and gangue are sorted. Background technique [0002] Coal gangue is an accompanying substance in the process of coal production and processing. It has low calorific value and many harmful materials, which seriously affects product quality. It needs to be identified and sorted in time. For coal and gangue with small particle size, the coal gangue in coal can be removed by medium coal washing or composite dry method (wind selection) coal preparation. For massive coal and gangue, the identification methods in the prior art mainly include artificial Sorting, image recognition methods, gamma ray recognition and X-ray recognition, etc., these r...

AI Technical Summary

Problems solved by technology

For example, in manual sorting, the common problems are high labor intensity, harsh working environment, and low efficiency; the image recognition method is based on the color grayscale of coal and coal gangue, and the existing problem is that it is difficult to identify black coal gangue similar to coal; The gamma ray identification method is difficult to identify coal gangue with a thickness of more than 100mm, and gamma ray is potentially harmful to the human body and the environment; X-ray identification has problems such as complicated follow-up procedures, and X-ray detectors are based on X-ray imaging technology. Linear array detectors have many pixels and a large amount of data processing. They need to be equipped with industrial computers for processing. In addition, they cannot solve the influence of material particle size and are not suitable for the specific use environment of coal mines.

[0003] With the development of barren mines and the need for coal gangue identification, there is an urgent need to comprehensively utilize the advantages of the above-mentioned identification methods. Mineral dressing technicians from major universities and research institutes have invested a lot of research effort in research and development. Due to technical difficulties and It requires a lot of capital investment, and so far there is no precedent for the comprehensive utilization of the above identification methods

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