Abstract: This paper studies the intelligent manufacturing of train components based on big data technology. Firstly, it introduces the formation process of intelligent manufacturing system, including the characteristics of manufacturing big data and the construction process of Hadoop distributed architecture platform. According to the project objectives and requirements, the intelligent manufacturing system architecture is determined as the material interconnection layer, intelligent perception layer, data analysis layer, manufacturing service layer and a big data center the hardware topology is designed. Then the key technologies of data acquisition, transmission and analysis are described. Finally, the manufacturing process is analyzed based on ECRS, assembly motion simulation based on DELMIA is carried out to determine the layout of the production line, CATIA is used to build the 3D model of the production line, and the fixture design is focused on. This research has achieved the goal of interconnection, digitization, informatization and intellectualization of train component manufacturing, which has great research value and practical significance.