TY - GEN
T1 - A Digital Twin Demonstrator for Research and Teaching in Universities
AU - Jungwirth, Mario
AU - Lee, Wei chen
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - The importance of digitization in production and training was recognized and has found its way into many companies nowadays. Technologies such as IoT, rapid prototyping, and digital twins can be used to advantage in these fields. In order to show the numerous possibilities of such technologies, a digital twin demonstrator was built and extended to include virtual and augmented reality for control, data exchange, and data visualization. This demonstrator can be used for R&D topics as well as for teaching undergraduates and co-workers. A very flexible system configuration enables to adapt to many different tasks and can be easily reproduced. Future topics will be to exchange components, e.g., Python instead of MATLAB, alternatives to MQTT, etc., to increase the flexibility and check for the latency of the data connection via the internet. Research extended from the demonstrator is also presented in the paper to show how to use Node-RED installed Raspberry Pi to build an industrial IoT in a factory.
AB - The importance of digitization in production and training was recognized and has found its way into many companies nowadays. Technologies such as IoT, rapid prototyping, and digital twins can be used to advantage in these fields. In order to show the numerous possibilities of such technologies, a digital twin demonstrator was built and extended to include virtual and augmented reality for control, data exchange, and data visualization. This demonstrator can be used for R&D topics as well as for teaching undergraduates and co-workers. A very flexible system configuration enables to adapt to many different tasks and can be easily reproduced. Future topics will be to exchange components, e.g., Python instead of MATLAB, alternatives to MQTT, etc., to increase the flexibility and check for the latency of the data connection via the internet. Research extended from the demonstrator is also presented in the paper to show how to use Node-RED installed Raspberry Pi to build an industrial IoT in a factory.
KW - Augmented reality
KW - Digital twin
KW - Internet of Things
KW - Rapid prototyping
KW - Virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85151144926&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-25312-6_64
DO - 10.1007/978-3-031-25312-6_64
M3 - Conference contribution
AN - SCOPUS:85151144926
SN - 9783031253119
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 547
EP - 553
BT - Computer Aided Systems Theory – EUROCAST 2022 - 18th International Conference, Revised Selected Papers
A2 - Moreno-Díaz, Roberto
A2 - Pichler, Franz
A2 - Quesada-Arencibia, Alexis
PB - Springer
T2 - 18th International Conference on Computer Aided Systems Theory, EUROCAST 2022
Y2 - 20 February 2022 through 25 February 2022
ER -