Characterising the Digital Twin: A systematic literature review

术语 计算机科学 数据科学 过程(计算) 多样性(控制论) 晶体孪晶 人工智能 哲学 语言学 微观结构 材料科学 冶金 操作系统
作者
David Jones,Chris Snider,Aydin Nassehi,Jason Yon,Ben Hicks
出处
期刊:Cirp Journal of Manufacturing Science and Technology [Elsevier BV]
卷期号:29: 36-52 被引量:1493
标识
DOI:10.1016/j.cirpj.2020.02.002
摘要

While there has been a recent growth of interest in the Digital Twin, a variety of definitions employed across industry and academia remain. There is a need to consolidate research such to maintain a common understanding of the topic and ensure future research efforts are to be based on solid foundations. Through a systematic literature review and a thematic analysis of 92 Digital Twin publications from the last ten years, this paper provides a characterisation of the Digital Twin, identification of gaps in knowledge, and required areas of future research. In characterising the Digital Twin, the state of the concept, key terminology, and associated processes are identified, discussed, and consolidated to produce 13 characteristics (Physical Entity/Twin; Virtual Entity/Twin; Physical Environment; Virtual Environment; State; Realisation; Metrology; Twinning; Twinning Rate; Physical-to-Virtual Connection/Twinning; Virtual-to-Physical Connection/Twinning; Physical Processes; and Virtual Processes) and a complete framework of the Digital Twin and its process of operation. Following this characterisation, seven knowledge gaps and topics for future research focus are identified: Perceived Benefits; Digital Twin across the Product Life-Cycle; Use-Cases; Technical Implementations; Levels of Fidelity; Data Ownership; and Integration between Virtual Entities; each of which are required to realise the Digital Twin.
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