An ontology-based data-model coupling approach for digital twin

Abstract

Digital twin (DT), which strives to achieve physical-virtual fusion, has made great strides with its widely applications in various fields. Based on data interaction, DT reflects the real-time conditions of physical scenarios in a safe-virtual space and further generates dynamic decisions. However, there are still some vital challenges to be addressed during the implementation of DT. A crucial challenge lies in bridging the gap between the physical and virtual spaces, in order to realize physical-virtual consistency. To address the challenge, an ontology-based data-model coupling method is firstly proposed in this paper, consisting of three primary procedures, relation establishment, data-model coupling and relation evolution. Subsequently, detailed implementations of the above procedures are illustrated. Finally, experiments are carried out to prove the feasibility and practicability of the proposed method.