TY - JOUR
T1 - Digital Twins
T2 - Enabling Interoperability in Smart Manufacturing Networks
AU - O’Connell, Eoin
AU - O’Brien, William
AU - Bhattacharya, Mangolika
AU - Moore, Denis
AU - Penica, Mihai
N1 - Publisher Copyright:
© 2023 by the authors.
PY - 2023/6
Y1 - 2023/6
N2 - As Industry 4.0 networks continue to evolve at a rapid pace, they are becoming increasingly complex and distributed. These networks incorporate a range of technologies that are integrated into smart manufacturing systems, requiring adaptability, security, and resilience. However, managing the complexity of Industry 4.0 networks presents significant challenges, particularly in terms of security and the integration of diverse technologies into a functioning and efficient infrastructure. To address these challenges, emerging digital twin standards are enabling the connection of various systems by linking individual digital twins, creating a system of systems. The objective is to develop a “universal translator” that can interpret inputs from both the real and digital worlds, merging them into a seamless cyber-physical reality. It will be demonstrated how the myriad of technologies and systems in Industry 4.0 networks can be connected through the use of digital twins to create a seamless “system of systems”. This will improve interoperability, resilience, and security in smart manufacturing systems. The paper will also outline the potential benefits and limitations of digital twins in addressing the challenges of Industry 4.0 networks.
AB - As Industry 4.0 networks continue to evolve at a rapid pace, they are becoming increasingly complex and distributed. These networks incorporate a range of technologies that are integrated into smart manufacturing systems, requiring adaptability, security, and resilience. However, managing the complexity of Industry 4.0 networks presents significant challenges, particularly in terms of security and the integration of diverse technologies into a functioning and efficient infrastructure. To address these challenges, emerging digital twin standards are enabling the connection of various systems by linking individual digital twins, creating a system of systems. The objective is to develop a “universal translator” that can interpret inputs from both the real and digital worlds, merging them into a seamless cyber-physical reality. It will be demonstrated how the myriad of technologies and systems in Industry 4.0 networks can be connected through the use of digital twins to create a seamless “system of systems”. This will improve interoperability, resilience, and security in smart manufacturing systems. The paper will also outline the potential benefits and limitations of digital twins in addressing the challenges of Industry 4.0 networks.
KW - (IIoT)
KW - artificial intelligence (AI)
KW - digital twin
KW - industrial internet of things
KW - industry 4.0
KW - interoperability
KW - machine learning (ML)
KW - smart manufacturing
KW - universal translator
UR - http://www.scopus.com/inward/record.url?scp=85163745238&partnerID=8YFLogxK
U2 - 10.3390/telecom4020016
DO - 10.3390/telecom4020016
M3 - Article
AN - SCOPUS:85163745238
SN - 2673-4001
VL - 4
SP - 265
EP - 278
JO - Telecom
JF - Telecom
IS - 2
ER -