The traditional GSM-R network optimization model can be summarized as “measurement data collection-expert adjustment of parameters-retesting to verify the effect”. However, under the construction trend of railway digitalization and intelligent transformation, it can no longer meet the optimization needs of high quality, high precision and high efficiency of railway mobile communication systems. A GSM-R network optimization platform based on ray tracing for high-speed railway station scenario is proposed in this paper. Furthermore, the technical architecture, network optimization process and result presentation of this platform are introduced. Taking the GSM-R optimization of WeiNanBei station as an example, network problem reproduction and optimization simulation are carried out through the network optimization platform studied in this paper. The simulation results show that after optimization, the received signal fading depth along the track in the high-speed railway station is reduced by 5.7 dB. It means that the overall received signal quality is improved. Therefore, the effectiveness of the GSM-R network optimization platform proposed in this paper is demonstrated. This study provides a more accurate and efficient network optimization scheme for future railway mobile communication network operation and maintenance.