TY - GEN
T1 - Architecture of a Versatile Digital Twin with Socket-Based Communication and Azure DT
AU - Höfgen, Josua
AU - Vogel-Heuser, Birgit
AU - Bi, Fandi
AU - Zhao, Jingyun
AU - Kraft, André
AU - Vojanec, Bernd
AU - Markert, Timo
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The concept of Digital Twin (DT) has gained widespread attention due to the rapid advancement of Industry 4.0, technologies such as IoT, big data analytics, and artificial intelligence. DT is a virtual replica of a physical object or system that enables real-time monitoring, analysis, and optimization of its performance. This work proposes a DT system, based on automated DT creation and flexible communication across platforms to realize tool independence and to allow interchangeability of the included web-deployment and simulation environments. We apply the approach to the gearbox assembly process in an industrial use case, using the Asset Administration Shell (AAS) as a common digital asset definition both for a simulation environment and a robot control program. The proposed approach addresses the challenges in representing real plants and enterprise processes in a DT by managing heterogeneous data sources, data types, data inconsistencies, and ensuring real-time capability for safety-critical applications.
AB - The concept of Digital Twin (DT) has gained widespread attention due to the rapid advancement of Industry 4.0, technologies such as IoT, big data analytics, and artificial intelligence. DT is a virtual replica of a physical object or system that enables real-time monitoring, analysis, and optimization of its performance. This work proposes a DT system, based on automated DT creation and flexible communication across platforms to realize tool independence and to allow interchangeability of the included web-deployment and simulation environments. We apply the approach to the gearbox assembly process in an industrial use case, using the Asset Administration Shell (AAS) as a common digital asset definition both for a simulation environment and a robot control program. The proposed approach addresses the challenges in representing real plants and enterprise processes in a DT by managing heterogeneous data sources, data types, data inconsistencies, and ensuring real-time capability for safety-critical applications.
KW - Asset Administration Shell AAS
KW - Azure DT
KW - Digital Twin
KW - Industry 4.0
KW - Internet of things
KW - automated creation and deployment
KW - big data analytics
KW - robot control program
KW - simulation environment
UR - http://www.scopus.com/inward/record.url?scp=85174384288&partnerID=8YFLogxK
U2 - 10.1109/CASE56687.2023.10260340
DO - 10.1109/CASE56687.2023.10260340
M3 - Conference contribution
AN - SCOPUS:85174384288
T3 - IEEE International Conference on Automation Science and Engineering
BT - 2023 IEEE 19th International Conference on Automation Science and Engineering, CASE 2023
PB - IEEE Computer Society
T2 - 19th IEEE International Conference on Automation Science and Engineering, CASE 2023
Y2 - 26 August 2023 through 30 August 2023
ER -