Abstract
This paper aims to design and explore the implementation and application of the Beijing Subway Meteorological Digital Intelligent Platform. The platform integrates meteorological and subway data, forecasting models, and real-time monitoring technologies to provide accurate weather information and decision support for the Beijing subway system. This paper will introduce the design framework of the platform, data sources, forecasting models, real-time monitoring technologies, and application cases. Through the implementation and application of this platform, the Beijing subway system can better respond to meteorological disasters, improve operational efficiency, and enhance passenger safety.