Abstract: The working principle of operational failure impact analysis system in data collection, data processing, data modeling and visualization are introduced on the basis of big data technology and machine learning technology. It is possible to achieve the rail transit operational event classification and the influence time calculation. In this paper, the passenger flow impact association model, fault impact analysis method and the visualization method of fault impact under operational failures are introduced, the effectiveness of operational failure impact analysis system is verified by practical applications.