Research on Ontology Modeling of Rear Wiper Production Line Based on Digital Twin
In order to solve the problem of lack of effective information organization and management of a large number of fragmented mapping data,which makes it difficult for developers to obtain relevant data and low reusability in the process of realizing virtual-real mapping for digital twin project of automotive rear wiper production line,the ontology-based digital twin knowledge network model construction method of production line is studied.Based on the realization process of digital twinning in production line,a twin-ning data knowledge network structure model covering virtual prototype layer,automatic control layer and production flow layer is proposed.Combining the similarity algorithm based on string,semantics and struc-ture and ensemble learning technology,the framework model of ontology fusion is established to realize the information fusion of twin data,which lays a foundation for the application of twin services in the future.
intelligent production linedigital twinsontology modelingknowledge graphknowledge or-ganization
NETL
NSTL
万方数据
