通用无线传输路径损耗统计模型用于矿井的适用性研究

Applicability study of the general wireless transmission path loss statistical model in mines

  • 摘要: 矿井移动通信、人员和车辆定位、无线视频和无线传感等系统的无线网络规划和优化,需进行链路预算,确定系统允许最大无线传输路径损耗。无线传输路径损耗统计模型是预测无线传输路径损耗的有效方法。分析研究了通用无线传输路径损耗统计模型在矿井的适用性:① 单频通用无线传输路径损耗统计模型的变量中没有频率,仅适用于预测单一频率不同距离下的无线传输路径损耗,而矿井移动通信、人员和车辆定位、无线视频和无线传感等系统的工作频段较多,且没有考虑矿井特殊环境因素对无线传输的影响,因此,单频通用无线传输路径损耗统计模型不适用于矿井。② 多频通用无线传输路径损耗统计模型的变量中有频率,适用于预测多个频率(即相应频段范围内)不同距离下的无线传输路径损耗,但仅考虑了频率和距离对无线传输的影响,而没有考虑矿井特殊环境因素对无线传输的影响。使用多频通用无线传输路径损耗统计模型预测矿井辅助运输大巷和掘进巷道中无线传输路径损耗时,误差均值较为接近,均为8~9 dB,由于预测误差较大,所以多频通用无线传输路径损耗统计模型不适用于矿井。目前没有专门针对矿井特殊环境建立的矿井无线传输路径损耗统计模型。因此,有必要针对矿井有限空间特殊环境,研究建立矿井无线传输路径损耗统计模型,指导矿井移动通信、人员和车辆定位、无线视频和无线传感等系统的无线网络规划和优化。

     

    Abstract: Wireless network planning and optimization for systems such as mine mobile communication, personnel and vehicle positioning, wireless video transmission, and wireless sensing require link budget calculations to determine the maximum allowable wireless transmission path loss. The wireless transmission path loss statistical model is an effective method for predicting wireless transmission path loss. The applicability of the general wireless transmission path loss statistical model in mine environments was analyzed: ① The single-frequency general wireless transmission path loss statistical model does not include frequency as a variable and is only suitable for predicting wireless transmission path loss at different distances for a single frequency. However, the systems used in mines operate across multiple frequency bands, and the model does not account for the impact of the unique environmental factors in mines. Therefore, the single-frequency model is not suitable for mine applications. ② The multi-frequency general wireless transmission path loss statistical model includes frequency as a variable and is suitable for predicting path loss at different distances across multiple frequencies (within corresponding frequency bands). However, it only considers the effects of frequency and distance on wireless transmission and does not account for the special environmental factors present in mines. When the multi-frequency model is used to predict wireless transmission path loss in mine auxiliary transport roadways and excavation tunnels, the mean prediction error is relatively large—around 8-9 dB—indicating that the model is not suitable for mine environments. Currently, there is no wireless transmission path loss statistical model specifically developed for the unique environment of mines. Therefore, it is necessary to develop a mine-specific statistical model for wireless transmission path loss, tailored to the confined space and special environmental conditions of mines, to guide the planning and optimization of wireless networks for mine mobile communication, personnel and vehicle positioning, wireless video, and wireless sensing systems.

     

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