Digital Twin: Enabling Technologies, Challenges and Open Research
| Autor: | Charles R. Day, Chris Barlow, Aidan Fuller, Zhong Fan |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
FOS: Computer and information sciences
0209 industrial biotechnology Engineering General Computer Science applications Research areas Process improvement 02 engineering and technology computer.software_genre Digital twins enabling technologies Computer Science - Computers and Society 020901 industrial engineering & automation Open research Manufacturing Computers and Society (cs.CY) 0202 electrical engineering electronic engineering information engineering General Materials Science industrial Internet of Things (IIoT) T1 business.industry General Engineering Data science Internet of Things (IoT) machine learning Virtual machine Business intelligence 020201 artificial intelligence & image processing State (computer science) lcsh:Electrical engineering. Electronics. Nuclear engineering TJ Internet of Things business computer lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 8, Pp 108952-108971 (2020) |
| ISSN: | 2169-3536 |
| Popis: | 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. This article has been accepted for publication in a future issue of IEEE ACCESS, . Citation information: DOI 10.1109/ACCESS.2020.2998358, IEEE Access |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|