TY - GEN
T1 - Digital Twin Development for a Quality Control Cell
AU - Cavalcanti, Marcella
AU - Costelha, Hugo
AU - Neves, Carlos
AU - Martins, André
AU - Perdigoto, Luís
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The Digital Twin is one of the enabling technologies of Industry 4.0, Cyber-Physical Systems and Smart Factories. In this context, Digital Twins can be developed for being employed through the entire lifecycle of a system, for design, operation, monitoring, maintenance, and even fault prediction and reconfiguration. This paper describes the development of a Digital Twin for a Quality Control cell that is part of a larger manufacturing process in the automotive industry. The virtual environment was built using ABB RobotStudio, the communication between devices in the cell was implemented with OPC UA (UA. NET and open62541), and the process data are registered in a database using MySQL. The results show a fully functional simulation of the cell's behaviour and future development will include the connection of the Digital Twin with the real system.
AB - The Digital Twin is one of the enabling technologies of Industry 4.0, Cyber-Physical Systems and Smart Factories. In this context, Digital Twins can be developed for being employed through the entire lifecycle of a system, for design, operation, monitoring, maintenance, and even fault prediction and reconfiguration. This paper describes the development of a Digital Twin for a Quality Control cell that is part of a larger manufacturing process in the automotive industry. The virtual environment was built using ABB RobotStudio, the communication between devices in the cell was implemented with OPC UA (UA. NET and open62541), and the process data are registered in a database using MySQL. The results show a fully functional simulation of the cell's behaviour and future development will include the connection of the Digital Twin with the real system.
UR - http://www.scopus.com/inward/record.url?scp=85177468816&partnerID=8YFLogxK
U2 - 10.1109/CoDIT58514.2023.10284308
DO - 10.1109/CoDIT58514.2023.10284308
M3 - Conference contribution
AN - SCOPUS:85177468816
T3 - 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023
SP - 1518
EP - 1523
BT - 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Control, Decision and Information Technologies, CoDIT 2023
Y2 - 3 July 2023 through 6 July 2023
ER -
