A Survey on Digital Twin for Industrial Internet of Things: Applications, Technologies and Tools
Shanghai Jiao Tong University · Waseda University · +2 more institutions
Abstract
Digital twin for the industrial Internet of Things (DT-IIoT) creates a high-fidelity, fine-grained, low-cost digital replica of the cyber-physical integrated Internet for industry. Powered by artificial intelligence (AI) and security technologies, DT-IIoT provides advanced features such as real-time monitoring, predictive maintenance, remote diagnostics, and rapid response for smart IIoT systems. A systematic review of key enabling technologies such as digital twin, AI, and blockchain is essential to develop DT-IIoT and reveal pitfalls. This paper reviews the preliminaries, real-world applications, architectures and models of digital twin-driven IIoT. In addition, advanced technologies for intelligent and…
Citation impact
- FWCI
- 46.95
- Percentile
- 100%
- References
- 211
Authors
5Topics & keywords
- Cloud computing
- Computer science
- Big data
- The Internet
- Industrial Internet
- Data science
- Artificial intelligence
- Computer security
- Industry, innovation and infrastructure