期刊论文详细信息
IEEE Access
A Requirements Driven Digital Twin Framework: Specification and Opportunities
Efe C. Balta1  James Moyne1  Yassine Qamsane1  John Faris1  Dawn M. Tilbury1  Ilya Kovalenko1  Kira Barton1 
[1] Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA;
关键词: Digital twin;    industry 40;    modeling;    prediction;    smart manufacturing;   
DOI  :  10.1109/ACCESS.2020.3000437
来源: DOAJ
【 摘 要 】

Among the tenets of Smart Manufacturing (SM) or Industry 4.0 (I4.0), digital twin (DT), which represents the capabilities of virtual representations of components and systems, has been cited as the biggest technology trend disrupting engineering and design today. DTs have been in use for years in areas such as model-based process control and predictive maintenance, however moving forward a framework is needed that will support the expected pervasiveness of DT technology in the evolution of SM or I4.0. A set of requirements for a DT framework has been derived from analysis of DT definitions, DTs in use today, expected DT applications in the near future, and longer-term DT trends and the DT vision in SM. These requirements include elements of re-usability, interoperability, interchangeability, maintainability, extensibility, and autonomy across the entire DT lifecycle. A baseline framework for DT technology has been developed that addresses many aspects of these requirements and enables the addressing of the requirements more fully through additional specification. The baseline framework includes a definition of a DT and an object-oriented (O-O) architecture for DTs that defines generalization, aggregation and instantiation of DT classes. Case studies using and extending the baseline framework illustrate its advantages in supporting DT solutions and trends in SM.

【 授权许可】

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