Semantic digital twin models

A methodology for digital twin creation using knowledge graphs

Abstract

This paper proposes a methodology for creating semantic  digital twin models using the well-known tool called Node-RED. A sequence of steps is described that covers data  acquisition, semantics annotations to this incoming data,  assets modeling with their relationships which generates a graph of nodes and connections that is saved into a graph  database. To be able to realize such a model, 7 so-called  nodes have been developed for Node-RED. Finally, a use  case has been implemented to demonstrate the application of the proposed methodology.