In:
Applied Sciences, MDPI AG, Vol. 14, No. 4 ( 2024-02-14), p. 1534-
Kurzfassung:
The mine roadway is a special restricted space where wireless signals cannot freely propagate. The research on the transmission characteristics of wireless signals in mine roadways is of great significance for establishing a safe and reliable underground communication system. In this context, the transmission characteristics of wireless signals with a frequency of 700 MHz in the roadway are studied using the three-dimensional (3D) ray-tracing method. The calculation of the vertical dimension of the roadway is increased, and a roadway model is established to more comprehensively reflect the transmission characteristics of the signal in the roadway. The results show that the field strength in the near-source region is high, the attenuation is fast, and the fluctuation is strong, while the waveform in the far-source region gradually stabilizes and decays. The signal strength is related to the number of reflections; the more reflections, the weaker the signal strength. When the transmitting end is close to the edge of the roadway wall, the signal attenuation is faster and the fluctuation amplitude is stronger. The signal strength in the roadway is affected by the cross-sectional size of the rectangular roadway, and the larger the length and width dimensions, the better the waveguide can be formed in the roadway. The simulation results of wireless signal transmission in the roadway are compared with the measured results from a coal mine in Ganhe, Huozhou, and the results show that the model established by the 3D ray-tracing method can predict the field strength distribution of wireless signal. This study provides a theoretical foundation and practical guidance for improving the reliability and quality of wireless signal transmission in mine tunnels. Future research directions can further optimize algorithms, enhance transmission rates, and improve interference resistance to meet the needs of wireless communication in mine tunnels.
Materialart:
Online-Ressource
ISSN:
2076-3417
Sprache:
Englisch
Verlag:
MDPI AG
Publikationsdatum:
2024
ZDB Id:
2704225-X
