Digital Twins: State of the art theory and practice, challenges, and open research questions
University of Oxford · University of Cambridge · +2 more institutions
Abstract
Digital Twin was introduced over a decade ago, as an innovative all-encompassing tool, with perceived benefits including real-time monitoring, simulation, optimisation and accurate forecasting. However, the theoretical framework and practical implementations of digital twin (DT) are yet to fully achieve this vision at scale. Although an increasing number of successful implementations exist in research and industrial works, sufficient implementation details are not publicly available, making it difficult to fully assess their components and effectiveness, to draw comparisons, identify successful solutions, share lessons, and thus to jointly advance and benefit from the DT methodology. This work first presents a…
Citation impact
- FWCI
- 60.28
- Percentile
- 100%
- References
- 122
Authors
5Topics & keywords
- Implementation
- Computer science
- Field (mathematics)
- Key (lock)
- Data science
- Open research
- Scale (ratio)
- Domain (mathematical analysis)
- Industry, innovation and infrastructure