5G，5.5G，WiFi6，WiFi7，UWB，ZigBee等矿井移动通信、人员和车辆定位、无线视频和无线传感等系统的设计、规划和优化，需进行矿井电磁波传播分析。电磁波传播衰减统计模型是预测电磁波传播衰减的有效方法。分析研究了室内电磁波传播衰减统计模型在矿井的适用性：① 矿井电磁波传播为有限空间特殊环境中远距离传播，与地面室内长方体简单环境中近距离电磁波传播不同。② 矿井巷道四周为较厚的煤岩，对电磁波具有较强的吸收能力，巷道支护材料进一步阻挡了电磁波穿透，一般不考虑电磁波穿墙衰减。室内−室内电磁波传播衰减统计模型中的COST−Multi−Wall模型、Keenan−Motley模型考虑电磁波穿墙衰减，不适用于矿井。③ 矿井的基站和无线终端均在巷道内，为有限空间内部电磁波传播。室外−室内电磁波传播衰减统计模型适用于基站在室外开放空间、无线终端在室内有限空间的电磁波传播，不适用于矿井。分析研究了室内电磁波传播衰减统计模型对矿井不同场景（矿井辅助运输大巷、掘进巷道、拐弯巷道、分支巷道、综采工作面）中电磁波传播衰减的预测误差：利用室内电磁波传播衰减统计模型中的WINNER II模型、3GPP InH−Office模型、ITU−R P.1238模型、ITU−R M.2412 InH模型预测矿井电磁波传播衰减时，总的误差均值分别为9.3，8.2，9.9，7.7 dB，由于预测误差较大，这些模型不适用于矿井。目前没有专门针对矿井特殊环境建立的矿井电磁波传播衰减统计模型。因此，有必要针对矿井有限空间特殊环境，研究建立矿井电磁波传播衰减统计模型，指导矿井通信基站和定位分站及其天线的设计和布置。

The design, planning, and optimization of mining communication systems, personnel and vehicle positioning, wireless video, and wireless sensing systems such as 5G, 5.5G, WiFi 6, WiFi 7, UWB, and ZigBee require analysis of electromagnetic wave propagation in mines. The statistical model of electromagnetic wave propagation attenuation is an effective method for predicting the attenuation of electromagnetic waves. The applicability of indoor electromagnetic wave propagation attenuation statistical models in mines is analyzed. ① Electromagnetic wave propagation in mines occurs over long distances in a confined and unique environment, which is different from the short-distance propagation in simple rectangular indoor environments on the ground. ② The surrounding walls of mine roadways are thick coal and rock which have strong abilities to absorb electromagnetic waves, and roadway support materials further block the penetration of electromagnetic waves. Therefore, electromagnetic wave attenuation through walls is typically not considered. In the indoor-to-indoor electromagnetic wave propagation attenuation statistical models, the COST-Multi-Wall model and Keenan-Motley model consider electromagnetic wave attenuation through walls, making them unsuitable for mines. ③ Both the base station and wireless terminal in mines are located within the roadways, representing electromagnetic wave propagation in a confined internal space. The outdoor-to-indoor electromagnetic wave propagation attenuation statistical model is applicable to scenarios where the base station is in an open outdoor space and the wireless terminal is in a confined indoor space, making it unsuitable for mines. Subsequently, this study analyzed the prediction errors of indoor electromagnetic wave propagation attenuation statistical models for different mine scenarios (e.g. auxiliary transportation roadways, excavation roadways, curved roadways, branch roadways, fully mechanized mining faces). When using the WINNER II model, 3GPP InH-Office model, ITU-R P.1238 model, and ITU-R M.2412 InH model in indoor electromagnetic wave propagation attenuation statistical models to predict electromagnetic wave propagation attenuation in mines, the overall mean errors were 9.3 dB, 8.2 dB, 9.9 dB, and 7.7 dB, respectively. Due to the significant prediction errors, these models are unsuitable for mines. Currently, no specific statistical model for mine electromagnetic wave propagation attenuation has been developed based on the unique environment of mines. Therefore, it is necessary to study and establish a statistical model for electromagnetic wave propagation attenuation in mines that is tailored to the confined space and special environment of mines to guide the design and layout of mine communication base stations, positioning sub-stations, and their antennas.