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基于5G的矿用装备远程控制技术研究

李晨鑫

李晨鑫. 基于5G的矿用装备远程控制技术研究[J]. 工矿自动化,2023,49(9):90-97.  doi: 10.13272/j.issn.1671-251x.18089
引用本文: 李晨鑫. 基于5G的矿用装备远程控制技术研究[J]. 工矿自动化,2023,49(9):90-97.  doi: 10.13272/j.issn.1671-251x.18089
LI Chenxin. Research on remote control technology of mining equipment based on 5G[J]. Journal of Mine Automation,2023,49(9):90-97.  doi: 10.13272/j.issn.1671-251x.18089
Citation: LI Chenxin. Research on remote control technology of mining equipment based on 5G[J]. Journal of Mine Automation,2023,49(9):90-97.  doi: 10.13272/j.issn.1671-251x.18089

基于5G的矿用装备远程控制技术研究

doi: 10.13272/j.issn.1671-251x.18089
基金项目: 天地科技股份有限公司科技创新创业资金专项(2023-TD-ZD005-001,2022-TD-ZD001,2022-2-TD-ZD001)。
详细信息
    作者简介:

    李晨鑫(1986—),男,河南永城人,副研究员,博士,研究方向为智能矿山通信技术,E-mail:ccrilichenxin@126.com

  • 中图分类号: TD655.3

Research on remote control technology of mining equipment based on 5G

  • 摘要: 矿用5G为智能矿山建设提供了高速信息传输通道,基于5G的矿用装备远程控制应用是实现少人化、无人化矿井生产的关键手段。分析了矿用4G、WiFi6应用于矿用装备远程控制中的不足,指出5G技术是实现矿用装备远程控制的必要支撑手段。运用信息物理系统架构研究方法构建了基于5G的矿用装备远程控制应用系统参考架构。以5G+采煤机远程控制为例,研究了5G传输链路的关键技术,梳理了监视监测数据与远程控制数据的信息流。当前5G网络为层三通信方式,而矿用装备远程控制的控制系统与受控设备之间需要进行点对点层二通信,针对该问题,研究了层二隧道构建方法和5G LAN技术,建立了远程控制信息传输的稳定通道。针对现场监视数据的大带宽传输需求与远程控制数据的低时延传输需求,提出了资源预调度与请求调度灵活适配的空口资源分配机制。现场测试结果表明:通过层二隧道共传输数据包13 328个,未出现丢包或接收不成功的现象;端到端时延为11.5~23.8 ms,能够满足矿用装备远程控制的传输需求;RSRP(参考信号接收功率)分布在−93~−53 dB·m之间,SINR(信号与干扰加噪声比)分布在10~38 dB之间,无线覆盖情况良好。矿用5G无线通信系统的可靠性、端到端时延及无线覆盖情况能够满足采煤机远程控制的传输需求。

     

  • 图  1  基于5G的矿用装备远程控制应用系统参考架构研究方法

    Figure  1.  Research method of reference architecture of 5G based mine equipment remote control application system

    图  2  基于5G的矿用装备远程控制应用系统参考架构

    Figure  2.  Reference architecture of 5G based mine equipment remote control application system

    图  3  基于5G的采煤机远程控制信息流

    Figure  3.  Information flow of 5G based shearer remote control

    图  4  采用本地交换机的5G LAN链路

    Figure  4.  5G LAN link using local switch

    图  5  基于5G的矿用装备远程控制空口资源调度机制

    Figure  5.  Over the air bandwidth scheduling mechanism of 5G based mine equipment remote control

    图  6  端到端时延测试数据

    Figure  6.  Test data of end-to-end latency

    图  7  RSRP测试数据

    Figure  7.  Test data of RSRP

    图  8  SINR测试数据

    Figure  8.  Test data of SINR

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出版历程
  • 收稿日期:  2023-03-20
  • 修回日期:  2023-09-08
  • 网络出版日期:  2023-09-27

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