The Research Of Lifecycle Data Model Of Key Components In EMUs

With the rapid development and popularization of Electric Multiple units, in the management of the key components in EMUs, Product Lifecycle Management will produce a large amount of data. After the products leave the manufacturers of key components, because of the limitation of time and space, there is the difference of message between the stages and it is difficult to realize the share of data of products. Because of the multidimensional features and related business needs of data of products, the good data management method is very important for demands of large-scale data integration and business support.This paper applies product lifecycle management (PLM) concept to the management of key components in EMUs. PLM is around the whole process from the design, manufacture, use and scrap and the sharing of data is realized in the PLM. The RDF-based data model T-PPR for the whole life cycle management of the key components of EMUs is proposed. A data storage method based on structured index for non-relational database HBase is established. A query expansion algorithm based on structured semantics is proposed to improve the efficiency of data query. The above methods can effectively support the lifecycle data management and sharing requirements of the key components of EMUs.First, this paper proposes a RDF-based data model T-PPR of key components lifecycle management. The integration of the representation requirements of resources, products, processes and time in the whole lifecycle management of key components in EMUs can ensure the consistency and integrity of data.Secondly, this paper puts forward the HBase-based logical storage structure to store RDF data and the structural index based on temporal entities to solve the time dimension semantic management in RDF data. This can effectively support the lifecycle and business inquiries for the effective integration of business data and the query efficiency improvement.Finally, we analyze the actual query demands of users in cycle-life management of key components in EMUs. We propose data query semantic optimization method based on T-PPR. Through the experimental analysis, this method can effectively improve the efficiency of the semantic retrieval for the business logic in EMUs.