Under the construction trend of digitalization and intelligent transformation of railways, the traditional network optimization solution of "road test data collection-expert experience parameter tuning-retesting to verify the effect" for railway narrowband mobile communication system, Global System for Mobile Communications-Railway(GSM-R), can no longer meet the high-quality, high-precision, and high-efficiency optimization requirements of railway mobile communication systems. A GSMR network optimization platform for high-speed railway station scenarios based on Ray Tracing(RT) technology has been constructed. The technical architecture, network optimization process, and result presentation form of the platform are introduced. Taking the weak coverage optimization of GSM-R received signals at WeiNanBei Station as a case study, the wireless network optimization platform is employed to reproduce the problem and conduct optimization simulations. The results show that after the base station parameters at the exit of WeiNanBei Station are optimized, the received signal attenuation depth along the railway tracks inside the high-speed railway station is reduced by 5.7 dB, and the overall received signal quality is improved, which proves the effectiveness of the constructed GSM-R network optimization platform. This research provides a more accurate and efficient network optimization solution for the future maintenance and operation of railway mobile communication networks.