A coal discharge equipment and control method based on multi-source information fusion

Abstract

The invention relates to a coal drawing equipment and a control method based on multi-source information fusion. The coal caving equipment includes hydraulic support, rear scraper, image acquisition device, sound and vibration acquisition device, and multi-source information fusion and processing device; the hydraulic support is arranged at the working face of coal mining; the cover beam of the hydraulic support is in contact with the coal seam; the rear scraper The coal inlet of the plate is set under the cover beam of the hydraulic support; the image acquisition device is set on the base of the hydraulic support, and is facing the rear scraper; the sound vibration collection device is set on the cover beam of the hydraulic support; multi-source information fusion and The processing device is arranged on the base of the hydraulic support; the multi-source information fusion and processing device is respectively connected with the image acquisition device, the sound and vibration acquisition device, the insert plate and the tail beam on the cover beam of the hydraulic support. The invention can integrate image, sound and vibration recognition technology to realize quantitative and accurate judgment of coal gangue mixing degree value.

Description

technical field [0001] The invention relates to the field of coal discharge equipment and control, in particular to a coal discharge equipment and control method based on multi-source information fusion. Background technique [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 there have been long-term explorations on intelligent coal discharge at home and abroad, no key breakthroughs have been made so far. At this 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 onl...

AI Technical Summary

Problems solved by technology

[0002] At present, fully mechanized caving mining still generally adopts the method of manual coal caving, and the intelligentization of 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 there have been long-term explorations on intelligent coal discharge at home and abroad, no key breakthroughs have been made so far.

At this stage, more attention is paid to the identification of coal and gangue by 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 gangue identification using rays is susceptible to interference from 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 recognition method also mainly has the problems of poor recognition accuracy, susceptibility to interference, and inability to quantitatively give the mixing degree of coal and gangue.

The vibration signal identification 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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