Abstract
With the rapid advancement of cyber-physical systems, Digital Twin (DT) is gaining ever-increasing attention owing to its great capabilities to realize Industry 4.0. Enterprises from different fields are taking advantage of its ability to simulate real-time working conditions and perform intelligent decision-making, where a cost-effective solution can be readily delivered to meet individual stakeholder demands. As a hot topic, many approaches have been designed and implemented to date. However, most approaches today lack a comprehensive review to examine DT benefits by considering both engineering product lifecycle management and business innovation as a whole. To fill this gap, this work conducts a state-of-the art survey of DT by selecting 123 representative items together with 22 supplementary works to address those two perspectives, while considering technical aspects as a fundamental. The systematic review further identifies eight future perspectives for DT, including modular DT, modeling consistency and accuracy, incorporation of Big Data analytics in DT models, DT simulation improvements, VR integration into DT, expansion of DT domains, efficient mapping of cyber-physical data and cloud/edge computing integration. This work sets out to be a guide to the status of DT development and application in today’s academic and industrial environment.
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Abbreviations
- AMQP:
-
Advanced message queuing protocol
- BMs:
-
Business models
- CoAP:
-
Constrained application protocol
- CPS:
-
Cyber physical systems
- DMFEA:
-
Design failure mode and effects analysis
- DT:
-
Digital Twin
- ERP:
-
Enterprise resource planning
- FEM:
-
Finite element method
- LabVIEW:
-
Laboratory virtual instrument engineering workbench
- MES:
-
Manufacturing execution system
- MQTT:
-
Message queuing telemetry transport
- NTP:
-
Network time protocol
- OMPL:
-
Open motion planning library
- OPC UA:
-
Open platform communication unified architecture
- OSI:
-
Open systems interconnection
- PHM:
-
Prognostics and health management
- PLC:
-
Programmable logic controller
- PLM:
-
Product lifecycle management
- PTP:
-
Precision time protocol
- RAMI 4.0:
-
Reference architecture model Industry 4.0
- SCADA:
-
Supervisory control and data acquisition
- SHDR:
-
Simple hierarchical data representation
- SOAP:
-
Simple object access protocol
- STEP:
-
Standard for exchange of product model data
- TCP/IP:
-
Transmission control protocol/ internet protocol
- UDP:
-
User datagram protocol
- VV&A:
-
Verification validation and accreditation
- WirelessHART:
-
Wireless highway addressable remote transducer protocol
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The authors would like to acknowledge the financial support of the Start-up Fund for New Recruits (1-BE2X, Project ID: P0031040) from the Hong Kong Polytechnic University, Hong Kong, and the National Research Foundation (NRF) Singapore under the Corporate Laboratory @ University Scheme (Ref. RCA-16/434; SCORP1) at Nanyang Technological University, Singapore.
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Lim, K.Y.H., Zheng, P. & Chen, CH. A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives. J Intell Manuf 31, 1313–1337 (2020). https://doi.org/10.1007/s10845-019-01512-w
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DOI: https://doi.org/10.1007/s10845-019-01512-w