Coal drawing equipment based on multi-source information fusion and control method thereof

Abstract

The invention relates to coal drawing equipment based on multi-source information fusion and a control method thereof. The coal drawing equipment comprises a hydraulic support, a rear scraping plate,an image acquisition device, a sound vibration acquisition device and a multi-source information fusion and processing device; the hydraulic support is arranged on a coal mining working face; a shieldbeam of the hydraulic support makes contact with a coal seam; a coal inlet of the rear scraping plate is formed below the shield beam of the hydraulic support; the image acquisition device is arranged on a base of the hydraulic support and is opposite to the rear scraping plate; the sound vibration acquisition device is arranged on the shield beam of the hydraulic support; the multi-source information fusion and processing device is arranged on the base of the hydraulic support; and the multi-source information fusion and processing device is connected with the image acquisition device, the sound vibration acquisition device, an insertion plate and a tail beam, wherein the insertion plate and the tail beam are arranged on the shield beam of the hydraulic support. According to the coal drawing equipment based on multi-source information fusion and the control method thereof, image, sound and vibration recognition technologies can be fused, and quantitative and accurate judgment on a coal and gangue mixing degree value is realized.

Description

Technical field[0001]The present invention relates to the field of coal caving equipment and control, in particular to a coal caving equipment and control method based on multi-source information fusion.Background technique[0002]At present, the manual caving method is still widely used in fully mechanized caving mining, and the intelligentization of coal caving is the main technical bottleneck restricting intelligent fully mechanized caving mining. As the underground coal caving environment has the characteristics of low illumination, large dust, and more electromagnetic / vibration signal interference, although long-term exploration of intelligent coal caving has been carried out at home and abroad, no key breakthrough has been made so far. At this stage, more attention is paid to the use of rays to identify coal gangue or the difference in vibration signals generated by coal gangue falling impacting the tail beam of the support. A device usually has only one identification sensor an...

AI Technical Summary

Problems solved by technology

[0002] At present, fully mechanized caving mining still generally adopts manual coal caving method, and intelligent coal caving is the main technical bottleneck restricting intelligent fully mechanized caving mining

Due to the characteristics of low illumination, large dust, and a lot of electromagnetic / vibration signal interference in the underground coal discharge environment, although the intelligent coal discharge has been explored for a long time at home and abroad, so far no key breakthroughs have been made

At the present stage, more attention is paid to the identification of coal and gangue using rays or the difference in vibration signals generated by the impact of coal and gangue falling on the tail beam of the bracket. A device usually has only one identification sensor, and the identification method is single.

Coal and gangue identification using rays is easily interfered by external radiation, and the identification equipment is bulky, which is not convenient for use in the limited space under the narrow bracket rear tail beam, and the identification process is radiative, and improper protection will endanger the health of workers

The vibration signal identification method also mainly has the problems of poor identification accuracy, susceptibility to interference, and inability to quantitatively give the mixing degree of coal and gangue.

The vibration signal recognition method at this stage can only distinguish the two stages of coal discharge and gangue discharge, and cannot distinguish the mixing ratio of coal and gangue. % to 15%, the top-coal recovery rate of fully mechanized caving mining can be maximized, which requires quantitative and accurate judgment on the coal-gangue mixing value when identifying coal and gangue, otherwise it will cause a large top-coal loss

[0003] Due to the narrow space at the tail beam of the bracket, it is impossible to install large-scale equipment, and the coal dust is large during the coal discharge process, and the equipment such as coal shearers and scraper conveyors is noisy. The main shortcoming of the existing intelligent coal discharge technology is the recognition accuracy. Poor, unable to adapt to the harsh and complex environment underground

In addition, the existing technology also has the disadvantages of high equipment cost, large volume, inconvenient installation, and the inability to quantify the mixing degree of coal and gangue.

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