Coal gangue recognition and separation method based on machine vision and capacitance fusion and device thereof

Abstract

The invention relates to a coal gangue recognition and separation method based on machine vision and capacitance fusion and a device thereof. The device comprises a retaining rack arranged on a belt conveyor rack for mounting an accessory, wherein a detection unit, a conveying unit, an electric unit and a pneumatic unit are connected to the rack through the retaining rack and are arranged around the belt conveyor reasonably. The method comprises the steps of acquiring an effective thickness of a medium and center position information of a contour thereof through a CCD camera, and combining partial voltage numerical values at two ends of a resistor to recognize coal gangue; and operating a nozzle accurately to separate the coal gangue according to the position information of the center of the contour in combination with the operating speed of a conveyor belt. The method solves the problems that it is hard to extract features of the coal gangue, the recognition precision is low, the mistake separating probability is large and the like. The method is high in processing speed and high in timeliness, and can achieve very high recognition precision with few recognition features.

Description

technical field [0001] The invention relates to the field of photoelectric separation of coal gangue, in particular to a coal gangue identification and separation method based on machine vision and capacitance fusion and a device thereof. Background technique [0002] A large amount of coal gangue will be produced in the process of coal mining, and its mixing in coal will not only reduce the quality of coal combustion, but also increase the emission of exhaust gas. In order to improve the quality of coal combustion 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 gangue, setting the threshold that can distinguish coal and gangue, and completing the classification of coal and gangue with the help of intelligent classification model. According to the difference in physical and chemical p...

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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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