基于5G融合组网的煤矿井下多源信息监测系统

A multi-source information monitoring system for underground coal mines based on 5G fusion networking

摘要:

井下环境复杂多变，存在着瓦斯、煤尘、水患等多种安全隐患，对矿工的生命安全和矿井的正常生产构成了严重威胁。为了提高煤矿井下信息监测信息的传输效率，利用5G融合组网技术，开发一套能够实时监测井下环境参数、设备状态以及人员位置等多源信息的系统。通过设计系统的数据采集层和物理层，使系统能够支持更高质量的数据采集和更高效的通信，提高系统在监测过程中的可靠性；在此基础上，结合5G井下融合组网技术，构建通信网络，实时传输采集的数据，实现系统的煤矿井下信息监测。实验结果表明，所设计系统的丢包率在0.1%左右，并将信号功率波动幅度控制在±1nm之间，可以有效降低温度和湿度监测误差，同时监测范围明显扩大，具有良好的实际应用效果。

Abstract:

The underground environment is complex and ever-changing, with various safety hazards such as gas, coal dust, and water hazards, posing a serious threat to the life safety of miners and the normal production of mines. In order to improve the transmission efficiency of underground information monitoring in coal mines, a system is developed using 5G fusion networking technology to monitor real-time multi-source information such as underground environmental parameters, equipment status, and personnel positions. By designing the data collection layer and physical layer of the system, the system can support higher quality data collection and more efficient communication, improving the reliability of the system during the monitoring process; On this basis, combined with 5G underground fusion networking technology, a communication network is constructed to transmit the collected data in real time and achieve the monitoring of coal mine underground information in the system. The experimental results show that the designed system has a packet loss rate of about 0.1%, and the fluctuation amplitude of signal power is controlled within ± 1nm, which can effectively reduce temperature and humidity monitoring errors. At the same time, the monitoring range is significantly expanded, and it has good practical application effects.