Digital Twin Reconfiguration Using Asset Models

Abstract

Digital twins need to adapt to changes in the physical system they reflect. In this paper, we propose a solution to dynamically reconfigure simulators in a digital twin that exploits formalized asset models for this purpose. The proposed solution uses (1) semantic reflection in the programs orchestrating the simulators of the digital twin, and (2) semantic web technologies to formalize domain constraints and integrate asset models into the digital twin, as well as to validate semantically reflected digital twin configurations against these domain constraints on the fly. We provide an open-source proof-of-concept implementation of the proposed solution.