Near infrared spectral recognizing coal gangue and gangue content control method

Abstract

The invention relates to a near infrared spectral recognizing coal gangue and a gangue content control method. The method comprises the following steps of: mounting a plurality of transmitting light wave probes and receiving light wave probes on a scraper conveyor under top caving coal liquid; receiving the signal conversion of the transmitting light wave probes and the receiving light wave probes by a near infrared analyzing device to recognize the coal gangue content; setting a threshold value of the gangue content for the near infrared analyzing device before detection; then carrying out multidirectional detection on a coal gangue mixture on the conveyer by the probes; acquiring data in real time; analyzing and processing the gangue content in the coal gangue mixture and comparing the gangue content with the set threshold value; when the detected gangue content reaches or exceeds the set gangue content threshold value, controlling the automatic closing of a coal discharge opening by an electrohydraulic valve controller and realizing automated coal discharge. The invention improves the discharge rate of comprehensive top coal caving, reduces labor, improves the efficiency, enables a coal miner to be far away from the severe environment of the underground working surface and has simple method, convenient operation, good controllability, safety and reliability.

Description

technical field [0001] The invention relates to a method for identifying coal and gangue, in particular to a method for identifying coal and gangue by near-infrared spectrum and controlling the amount of gangue for real-time monitoring of coal and gangue during the coal mining process. Background technique [0002] Automated mining is the development trend of safe and efficient mining in coal mines. To realize mining automation, the problem of automatic identification of gangue in coal mines must be solved first. Since the 1980s in my country, the research on the identification of coal and gangue has been started. Due to the complex environment in the mine, there is still no effective method for the identification of coal and gangue. Although image processing and recognition methods, γ-ray detection methods, texture feature fusion methods, and empirical mode decomposition (EMD) have been applied during this period, even though γ-ray detection methods, image processing and re...

AI Technical Summary

Problems solved by technology

Whether the coal discharge port should be closed or not is generally judged and controlled by the workers' visual inspection; and because the coal discharge port is dusty and the visibility is low, sometimes the coal discharge workers have large errors in visual inspection and listening to the sound

So far, in some so-called fully-mechanized fully-mechanized caving faces, the coal discharge at the coal discharge port can only be controlled by the average coal discharge time based on the actual measurement statistics, that is, given the discharge time of each coal discharge port Coal time, when the time is up, the coal outlet will automatically close the window, but at this time it is not clear whether the coal outlet has gangue, which will inevitably lead to over-discharging and under-discharging of the top coal, and manual inspection is required for re-discharging, so strict It is said that only semi-automatic coal discharge has been realized, and automatic coal discharge in the true sense has not been realized.

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