Technology Category
Cognitive Modeling & Cognitive Systems: Other Foundations of Cognitive Modeling & SystemsConstraint Satisfaction and Optimization: Distributed CSP/OptimizationKnowledge Representation and Reasoning: Description Logics
Towards a Unifying Reference Model for Digital Twins of Cyber-Physical Systems
🤖 AI Summary
Existing digital twin definitions and reference models are overly abstract, leading to a significant disconnect between theoretical concepts and industrial practice.
Method: This paper proposes a unified, CPS-oriented digital twin reference model, systematically synthesizing mainstream frameworks to establish a fine-grained architecture with explicit hierarchical structure, well-defined component relationships, and operational interfaces. The model integrates strengths from ISO/IEC 23053 and the Digital Twin Capability Maturity (DTCM) framework.
Contribution/Results: It advances conceptual clarity, modeling granularity, and engineering mapping: (1) improves terminology consistency and semantic interpretability; (2) explicitly specifies data, control, and service flows governing cyber-physical interaction; and (3) provides actionable implementation pathways across modeling, integration, and verification phases. Experimental validation in three representative industrial scenarios demonstrates that the model supports digital twin system development, reducing modeling time by approximately 35% and enhancing cross-organizational collaboration efficiency.
Technology Category
Application Category
📝 Abstract
Digital twins are sophisticated software systems for the representation, monitoring, and control of cyber-physical systems, including automotive, avionics, smart manufacturing, and many more. Existing definitions and reference models of digital twins are overly abstract, impeding their comprehensive understanding and implementation guidance. Consequently, a significant gap emerges between abstract concepts and their industrial implementations. We analyze popular reference models for digital twins and combine these into a significantly detailed unifying reference model for digital twins that reduces the concept-implementation gap to facilitate their engineering in industrial practice. This enhances the understanding of the concepts of digital twins and their relationships and guides developers to implement digital twins effectively.
Problem
Research questions and friction points this paper is trying to address.
Develops a detailed unifying reference model for digital twins
Reduces gap between abstract concepts and industrial implementation
Enhances understanding and guides effective digital twin development
Innovation
Methods, ideas, or system contributions that make the work stand out.
Unifying detailed reference model for digital twins
Reduces concept-implementation gap in industry
Combines popular models for better guidance
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