IEEE Access· 2020Q1· Review
Digital Twin: Enabling Technologies, Challenges and Open Research
- 2,565citations
- Q1SCImago
- 2020year
Short summary
This paper reviews Digital Twin technology, defining it as the seamless integration of data between physical and virtual machines, and categorizes recent research by application areas like manufacturing, healthcare, and smart cities.
AI-generated from the title and abstract; the full text is not read.
Key points
- Digital Twins enable effortless data integration between physical and virtual machines.
- Key enabling technologies include Artificial Intelligence (AI) and the Internet of Things (IoT).
- Research is categorized into manufacturing, healthcare, and smart cities.
- The paper assesses current challenges and future research directions for Digital Twins.
AI-generated from the title and abstract; the full text is not read.
Abstract
Digital Twin technology is an emerging concept that has become the centre of attention for industry and, in more recent years, academia. The advancements in industry 4.0 concepts have facilitated its growth, particularly in the manufacturing industry. The Digital Twin is defined extensively but is best described as the effortless integration of data between a physical and virtual machine in either direction. The challenges, applications, and enabling technologies for Artificial Intelligence, Internet of Things (IoT) and Digital Twins are presented. A review of publications relating to Digital Twins is performed, producing a categorical review of recent papers. The review has categorised them by research areas: manufacturing, healthcare and smart cities, discussing a range of papers that reflect these areas and the current state of research. The paper provides an assessment of the enabling technologies, challenges and open research for Digital Twins.
The authors' abstract, as published at the source. IEEE Access, 2020 · DOI ↗
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Field: Industrial and Manufacturing Engineering
Industrial and Manufacturing EngineeringEngineering