基于5G网络的矿山无轨设备智能生产管理系统设计与应用研究

Design and Application Research on Intelligent Production Management System for Mine Trackless Equipment Based on 5G Network

  • 摘要: 针对露天矿无轨运输设备在极端温差、定位误差超标、通信延迟及电池低温衰减等问题,采用5G+UWB异构组网、改进LSTM故障预测模型及动态路径规划算法,提出了基于三层架构(感知层、传输层、处理层)的智能生产管理系统。实际应用表明:系统实施后设备故障率降低30%(月均停机时长由42 h缩减至29.4 h),运输路径优化使单车循环作业效率提升20%(日运量从3850 t增至4620 t);定位精度提升至±1.2 m,5G网络端到端时延压缩至18 ms,电池管理系统在−32 ℃环境下续航衰减率控制在12%以内,形成覆盖“数据采集-智能分析-决策执行”的全链条技术体系,为高寒地区露天矿山智能化建设提供可复制的工程技术方案。

     

    Abstract: In view of the problems of trackless transportation equipment in open-pit mines such as positioning error exceeding the standard, communication delay, low temperature attenuation of batteries and others under extreme temperature difference, an intelligent production management system based on a three-tier architecture (perception layer, transmission layer, processing layer) is proposed by adopting 5G+UWB heterogeneous networking, improving LSTM fault prediction model and dynamic path planning algorithm. The practical results show that after the system implementation, the equipment failure rate is decreased by 30% (the monthly average shutdown time is shortened from 42 h to 29.4 h), and the efficiency of single vehicle cycle operation is improved by 20% through the optimization of transportation paths (the daily transportation volume is increased from 3850 t to 4620 t); The positioning accuracy is improved to ±1.2 m, the end-to-end latency of 5G network is compressed to 18ms, and the battery life attenuation rate of the battery management system is controlled within 12% under a −32 ℃ environment, forming a full chain technical system covering "data acquisition-intelligent analysis-decision execution", providing a reusable engineering technology scheme for the intelligentization construction of open-pit mines in alpine regions.

     

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