煤炭工程 ›› 2025, Vol. 57 ›› Issue (4): 88-92.doi: 10. 11799/ ce202504013

• 生产技术 • 上一篇    下一篇

煤矿井下无人化无轨辅助运输路径规划技术研究

梁玉芳   

  1. 中国煤炭科工集团太原研究院有限公司
  • 收稿日期:2024-05-10 修回日期:2024-07-08 出版日期:2025-04-10 发布日期:2025-05-28
  • 通讯作者: 梁玉芳 E-mail:tymkylyf@163.com

Unmanned path planning technology for underground trackless auxiliary transportation in coal mines

  • Received:2024-05-10 Revised:2024-07-08 Online:2025-04-10 Published:2025-05-28

摘要:

随着无人化技术的快速发展,煤矿井下无轨辅助运输无人化技术成为行业研究的热点。文章深入分析了无轨辅助运输无人化技术当前发展状况和存在的关键问题,特别是对路径规划技术进行了深入研究。结合煤矿井下的特殊场景特征,提出了基于混合算法的路径规划系统,旨在实现路径的最优规划。通过实验验证,该技术能够有效提升运输效率,减少安全事故,为煤矿井下的无人化运输提供了新的解决方案。

关键词:

无轨辅助运输 , 无人化技术 , 混合算法 , 路径规划

Abstract:

With the rapid development of unmanned technology, the unmanned underground trackless auxiliary transportation in coal mines has become a hot research topic in the industry. This article provides an in-depth analysis of the current development status and key issues of unmanned technology for trackless assisted transportation, particularly in-depth research on path planning technology. Based on the special scene characteristics of coal mines underground, this paper proposes a path planning system based on hybrid algorithms, aiming to achieve optimal path planning. Through experimental verification, this technology can effectively improve transportation efficiency, reduce safety accidents, and provide a new solution for unmanned transportation in coal mines underground.

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