Abstract: In order to improve the utilization value of big data in railway safety supervision and management, implement the refinement of safety management and the intellectualization of auxiliary decision-making, this paper proposed the application technology scheme of big data in railway transportation safety supervision and management. Through the research of key technologies such as text mining, association analysis and risk quantitative evaluation, the application functions of safety supervision big data such as safety law analysis, safety status evaluation and safety risk early warning were implemented. The scheme has reference value for railway safety management departments at all levels to comprehensively and accurately understand the safety situation and improve the level of intelligent management and scientific decision-making.