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首页|期刊导航|煤炭与化工|智能化综采技术下采煤机顶底板截割轨迹规划分析研究

智能化综采技术下采煤机顶底板截割轨迹规划分析研究

杨泽宇

煤炭与化工2024,Vol.47Issue(6):75-78,83,5.
煤炭与化工2024,Vol.47Issue(6):75-78,83,5.DOI:10.19286/j.cnki.cci.2024.06.017

智能化综采技术下采煤机顶底板截割轨迹规划分析研究

Analysis and research on cutting trajectory planning of shearer roof and floor under intelligent fully mechanized mining technology

杨泽宇1

作者信息

  • 1. 晋能控股煤业集团朔州朔煤王坪煤业有限公司,山西怀仁 038300
  • 折叠

摘要

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.

关键词

自适应截割/顶底板截割轨迹规划/克里金插值算法/LSTM神经网络算法

Key words

adaptive cutting/cutting trajectory planning of roof and floor/kriging interpolation algorithm/LSTM neural network algorithm

分类

矿业与冶金

引用本文复制引用

杨泽宇..智能化综采技术下采煤机顶底板截割轨迹规划分析研究[J].煤炭与化工,2024,47(6):75-78,83,5.

煤炭与化工

2095-5979

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