Exploration of autonomous coal cutting technology practice based upon transparent geological models and coal-rock identification
To address the issues in traditional shearer memory cutting modes,such as large rock cutting volume,frequent manual intervention,and difficulty in maintaining dynamic engineering quality caused by the inability to autonomously adjust the drum height,an autonomous coal cutting method based upon transparent geological models and coal-rock identification technology is proposed.By constructing a transparent geological model for underground geological exploration and equipment distribution detection,multi-source data collection is completed.Based upon the transparent geological model,collect the position of the coal machine detected by the hydraulic support and the encoder information of the coal mining machine stroke,and apply coal-rock recognition technology to further optimize the cutting path.According to this,a coal mining machine drum trajectory optimization model is proposed to calculate the most reasonable cutting height of the drum during the entire coal cutting cycle,so that the generated cutting data is closer to the real mining environment and achieves autonomous coal cutting throughout the entire process.To verify the feasibility of the proposed technology,automated coal cutting is carried out on the 31309 working face of Shigetai Coal Mine in Guoneng Shendong Coal Group.The results show that the engineering quality of the 31309 working face could maintain dynamic compliance,the coal machine automation rate increases from 92.86％to 98.54％,the manual intervention rate decreases from 26.84％to 5.12％,and the automated coal cutting per shift is about 23000 tons,which achieves the expected output of the working face.
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