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| Analysis and research on cutting trajectory planning of shearer roof and floor under intelligent fully mechanized mining technology |
| Yang Zeyu |
| Jinneng Holdings Coal Industry Group Shuozhou Shuozhou Coal Wangping Coal Industry Co., Ltd., Huairen, 038300, China |
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Abstract Due to the complex environment of the underground fully mechanized mining face, the cutting height of the roof and floor cannot be adjusted in time during the adaptive cutting process of the double drum electric traction shearer, resulting in poor control of the roof and floor trajectory and low cutting efficiency. Based on this, this paper takes the roof and floor cutting trajectory planning of MG400/980-WD alternating current traction shearer in Wangping Coal Industry as the research object. Firstly, a three-dimensional static model of coal seam is constructed based on Kriging interpolation algorithm to obtain the initial roof and floor cutting trajectory. The initial trajectory is integrated with the historical cutting data, and the dynamic correction of the next tool trajectory prediction is realized by LSTM neural network algorithm. From the verification results, the trajectory error range before correction is 5~15 cm, and the trajectory error range after dynamic correction is concentrated in 0-10 cm. The proportion of small error after correction accounts for more than 96% of the total area, which improves the accuracy of the trajectory.
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| [ 1 ] 刘 夏,莫树培. 改进克里金插值算法的井下无线定位指纹库构建方法[ J ]. 传感技术学报,2019,32( 7 ):1 100 - 1 106.
[ 2 ] 张 驰,郭 媛,黎 明. 人工神经网络模型发展及应用综述[ J ]. 计算机工程与应用,2021,57( 11 ):57 - 69.
[ 3 ] 高 政. 改进克里金插值在低频附加二次相延修正中的应用研究[ D ]. 杭州:杭州电子科技大学,2021.
[ 4 ] 李娟莉,姜 朔,谢嘉成,等. 基于采煤机截割路径的动态三维地质模型构建方法[ J ]. 东北大学学报(自然科学版),2021,42( 5 ):706 - 712.
[ 5 ] 董丽丽,费 城,张 翔,等. 基于LSTM神经网络的煤矿突水预测[ J ]. 煤田地质与勘探,2019,47( 2 ):137 - 143. |
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