Digital Twin: Enabling Technologies, Challenges and Open Research

By Aidan Fuller, Zhong Fan, Charles Day. IEEE Access, 2020

1,923 citations recorded by the source corpus.

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.

Subfields: Industrial and Manufacturing Engineering, Information Systems, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/ea866449231dfee62032305e0dba3c250311e2c6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Industrial and Manufacturing Engineering

In Information Systems

Bedir Tekinerdogan

Citations in the corpus

A Review on Digital Twin Technology in Smart Grid, Transportation System and Smart City: Challenges and Future (2023, background): “DT can be used in the various area of power systems such as fault detection, load prediction, behavior analysis of operators, power system control and analysis, health condition assessment of power tools, and so on [3].”
Digital twins in smart farming (2021, background): “In essence, Digital Twins are virtual, digital equivalents of physical objects (Grieves and Vickers, 2017; Fuller et al., 2020).”
A Survey on the Metaverse: The State-of-the-Art, Technologies, Applications, and Challenges (2023, background): “IoT is an essential enabling technology for the digital twin [10], and the combination of IoT and digital twin technology helps to map the Metaverse onto the real world.”
Differentiating Digital Twin from Digital Shadow: Elucidating a Paradigm Shift to Expedite a Smart, Sustainable Built Environment (2021, background): “11 of 16 A DT can be used to ‘learn’ and suggest new scenarios before building an object, manufacturing tools and heavy equipment, creating the asset, developing a construction process, and planning for developing other smart cities [15].”
All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda (2021, background): “Digital twins are digital clones with high integrity and consciousness for physical entities or systems and keeps interacting with the physical world [237].”
Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects (2022, background): “Finally, Fuller et al. in [15] propose an extensive survey on DT, with a focus on its integration with IoT and data analytics technologies.”