Research on Automatic Height Adjustment System of Coal Mining Machine Based on Data Fusion Technology
Aiming at the problem of unsatisfactory control of autonomous height adjustment of coal mining machine memory cutting method in a coal mining face,a memory cutting trajectory improvement method is proposed by combining data fusion technology,BP neural network algorithm is integrated to calculate the memory cutting path,and an autonomous height adjustment control system is designed and verified by on-site experiments,which shows that:the improved memory cutting trajectory can be better adapted to different coal seams,the number of manual corrections is reduced by 1/2,and the height adjustment system is improved by 2％,and the number of manual corrections is reduced by 2％.The number of corrections is reduced by 1/2,which improves the working efficiency of coal mining machine.
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