Knowledge-Based Digital Twin Systems: Developing Actionable Knowledge-Enhanced Digital Twin

In the context of research on knowledge-based digital twin, this paper proposes an actionable knowledge-enhanced digital twin. Compared to related studies, it emphasizes operability in cognitive decision-making and service delivery processes. First, this paper provides a systematic definition of the concept of knowledge-enhanced digital twin and introduces a six-dimensional model to comprehensively describe various aspects of digital twin. Subsequently, a framework for the digital twin system is designed based on the model’s hierarchical structure, clarifying the human–machine interaction mechanisms within the system. To enhance the dynamism of services, a service-oriented multi-scale knowledge model is further proposed. Finally, the instantiation and evaluation verification of the system were carried out based on the scenario of the unmanned natural gas station. The results demonstrate that the digital twin system proposed in this paper has significant advantages in enhancing system intelligence and improving service response capabilities.