Abstract: With the continuous development of Chinese EMU industry, the EMU life cycle data management has become the focus of attention. Firstly, this paper analyzes the current status and existing problems of EMU’s life cycle data. Secondly, aiming at the characteristics of EMU’s multi-source and heterogeneous data, this paper proposes a data fusion framework based on EMU’s ontology knowledge base. Finally, this paper proposes a pattern matching method based on the similarity of composition patterns. Experiments show that the method has a good result of pattern matching of multi-source and heterogeneous data of EMU, and can greatly improve the automatization of multi-source and heterogeneous data fusion of EMU to a great extent.

Key words: EMU, lifecycle data management, data fusion, pattern matching