Identification of coal gangue by near-infrared spectrum and control method of gangue content

Abstract

A near-infrared spectrum identification method for coal gangue and gangue content control method, in which a plurality of emitting light wave probes and receiving light wave probes are arranged on the scraper conveyor below the caving coal liquid, and the emitting light wave probes and receiving light wave probes are received by a near infrared analysis device The signal conversion identifies the gangue content. Before the detection, set a threshold value for the gangue content on the near-infrared analysis device, and then use the probe to detect the gangue mixture on the conveyor in multiple directions, collect data in real time, and analyze and process the gangue mixture. When the measured gangue content reaches or exceeds the set threshold value, the electro-hydraulic valve controller controls the automatic closing window of the coal discharge port to realize automatic discharge. coal. Improve the discharge rate of top coal in fully mechanized caving mining, reduce manpower and improve efficiency, and keep coal miners away from the harsh environment of the underground working face. The method is simple, convenient to operate, good in controllability, safe and reliable.

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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