A method and device for identifying and separating coal gangue based on machine vision and capacitive fusion

Abstract

The invention relates to a method and device for identifying and separating coal gangue based on machine vision and capacitive fusion, including a holder arranged on a belt conveyor frame for installing accessories, a detection unit, a conveying unit, an electric unit and a pneumatic The unit is connected to the frame through the cage, and is reasonably arranged around the belt conveyor; the effective thickness of the medium and the position information of the contour center are obtained through the CCD camera, and the coal gangue is identified based on the partial pressure values ​​at both ends of the resistor; according to the contour center Combined with the position information of the conveyor belt and the running speed of the conveyor belt, the nozzles can be accurately controlled to separate the gangue; it effectively solves the problems of difficulty in extracting coal gangue features, low recognition accuracy and high probability of wrong separation; the processing speed is fast, the timeliness is strong, and it can be used very quickly. Fewer recognition features to achieve high recognition accuracy.

Description

technical field [0001] The invention relates to the field of photoelectric separation of coal gangue, in particular to a method and a device for identifying and separating coal gangue based on machine vision and capacitive fusion. Background technique [0002] In the process of coal mining, a large amount of coal gangue will be produced, and its mixing in the coal will not only reduce the quality of coal combustion, but also increase the emission of exhaust gas. In order to improve the combustion quality of coal and reduce the emission of toxic and harmful gases, it is necessary to separate coal gangue from coal. [0003] Coal gangue identification is the key technology of coal gangue sorting. By obtaining the difference characteristics of coal and coal gangue, the threshold value that can distinguish coal and coal gangue is set, and the classification of coal and coal gangue is completed with the help of intelligent classification model. According to the different physical...

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Problems solved by technology

[0004] Aiming at the deficiencies of the prior art, the purpose of the present invention is to provide a coal gangue identification and separation method based on machine vision and capacitance fusion and its device; it solves the difficulty in feature extraction of coal and gangue in the prior art and the low recognition accuracy, It has the characteristics of high recognition accuracy and strong timeliness for problems such as large error separation coefficient and energy waste.

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