Optimization of microwave network parameters in open-pit mines based on K-clustering algorithm

Due to the current accumulation effect in open-pit mines, there are significant differences in microwave network parameters in different regions, resulting in deviations in the transmission path and angle of microwave signals during transmission, leading to severe spectral fluctuations in communication signals. Therefore, a parameter optimization method for microwave networks in open-pit mines based on K-clustering algorithm is proposed. Analyzing the microwave network architecture of open-pit mines, it is found that optimization parameters such as signal wavelength, distance between terminal stations, and antenna height can construct a digital microwave communication main architecture, calculate and adjust the vertical distance of the terminal station microwave transceiver antenna, and ensure that the microwave signal maintains the optimal transmission path and angle during transmission. The distance, antenna height, and signal wavelength between different terminal stations of the microwave network in different areas of the open-pit mine are taken as the parameter sets to be optimized. The K-clustering algorithm is used to cluster the massive parameter dataset, and the Euclidean distance is used to determine the distance between different parameters, thereby obtaining the optimal parameter results for different areas. The experimental results show that different K values have a slight impact on the clustering effect. When the K value is set to 4, the contour coefficient reaches the highest value and the parameter clustering result is optimal. After optimizing the parameters of the microwave network, the communication signal spectrum is stable and uniform, and the signal quality is comprehensively improved.