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煤矿智能化关键技术研究与实践

王海军 曹云 王洪磊

王海军,曹云,王洪磊. 煤矿智能化关键技术研究与实践[J]. 煤田地质与勘探,2023,51(1):44−54. doi: 10.12363/issn.1001-1986.22.12.0992
引用本文: 王海军,曹云,王洪磊. 煤矿智能化关键技术研究与实践[J]. 煤田地质与勘探,2023,51(1):44−54. doi: 10.12363/issn.1001-1986.22.12.0992
WANG Haijun,CAO Yun,WANG Honglei. Research and practice on key technologies for intelligentization of coal mine[J]. Coal Geology & Exploration,2023,51(1):44−54. doi: 10.12363/issn.1001-1986.22.12.0992
Citation: WANG Haijun,CAO Yun,WANG Honglei. Research and practice on key technologies for intelligentization of coal mine[J]. Coal Geology & Exploration,2023,51(1):44−54. doi: 10.12363/issn.1001-1986.22.12.0992

煤矿智能化关键技术研究与实践

doi: 10.12363/issn.1001-1986.22.12.0992
基金项目: 天地科技股份有限公司科技创新重点项目(2020-2-TD-ZD001)
详细信息
    第一作者:

    王海军,1975年生,男,山东安丘人,博士,研究员,从事智慧矿山装备及工艺相关研究工作. E-mail:wanghaijun@cctegxian.com

    通信作者:

    王洪磊,1983年生,男,辽宁丹东人,博士,研究员,从事矿山智能装备研发相关工作. E-mail:whl2821655@163.com

  • 中图分类号: TD67

Research and practice on key technologies for intelligentization of coal mine

  • 摘要: 煤矿智能化是煤炭行业实现可持续发展的重要途径,为煤矿企业减人增效、安全生产提供有效保障,大数据、机器人、人工智能等新一代信息技术有力支撑了煤矿智能化建设。首先阐述了智慧矿山的设计思路,提出了智能化建设总体技术体系。然后,分析了通用异构型控制和数据处理平台、矿用巡检机器人技术、人工智能技术、故障诊断技术和智能穿戴等煤矿智能化关键技术的发展现状与趋势,梳理了智能化建设应用过程中存在的关键难题,并针对瓶颈问题提出了解决方法与未来发展趋势。研究基于模块化开发的通用异构型控制和数据处理平台,实现了底层终端的可重构和底层通信协议的统一,解决了数据孤岛问题;研究巡检机器人驱动模块监测、运动控制与精确定位等关键技术,基于多传感器融合技术实现机器人精确定位;研究人工智能技术在煤矿场景应用中缺少典型数据和与场景知识结合的问题,提出小样本学习技术有望推动人工智能技术在煤矿智能化领域的进一步落地应用;研究煤矿设备故障诊断技术,提出构建基于数据和知识混合驱动的设备故障诊断模型将有效解决过度维修和欠维修的问题;智能穿戴技术是解决井下关键岗位作业人员防护问题的关键,提出了由呼吸系统、传感监测系统、人机交互系统、语音显示系统组成的智能穿戴系统设计方案。最后,阐述了内蒙古神东天隆集团霍洛湾煤矿与内蒙古神东天隆集团武家塔露天煤矿智能化建设实践经验与阶段成果,为不同类型煤矿的智能化建设提供参考。

     

  • 图  智能化煤矿技术架构

    Fig. 1  Technical architecture of intelligent coal mine

    图  异构型控制和数据处理平台架构

    Fig. 2  Framework of heterogeneous control and data processing platform

    图  煤矿机器人多传感器融合定位系统总体结构

    Fig. 3  Overall framework of multi-sensor fusion positioning system of mine robot

    图  井下人员智能穿戴装备设计结构

    Fig. 4  Design structure of intelligent wearable equipment for underground personnel

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  • 收稿日期:  2022-12-15
  • 修回日期:  2023-01-16
  • 刊出日期:  2023-01-25
  • 网络出版日期:  2023-02-07

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