A Hierarchical Digital Twin Model Framework for Dynamic Cyber-Physical System Design

Abstract

Cyber-physical system (CPS) is a new trend in the complex system related research works, where network connectivity enhances computing power and systemic behavior emerges through the competition, interaction, collaboration and integration among individual interweaving, which consists of real-time monitoring, data management, physical feedback control. From this perspective, CPS is a dynamic entity with rich functions. However, designers may encounter a difficult situation, in which subsequent dynamic changes of the system are discussed and appropriate functionalities are added in the early design phase. Since the digital twin is the digital duplicate of the physical entity, it can dynamically evolve following the product life cycle. In this paper, we propose a hierarchical digital twin model framework for CPS design. In the light of digital twin concept, the hierarchical high-level models facilitate storage of information from the entire product life cycle. Finally, an industrial robot application is presented to demonstrate the efficacy of the model framework.