TY - GEN
T1 - Combining Digital Twins and Mixed Reality - How Can the Process Industry Benefit?
AU - Pantforder, Dorothea
AU - Alterbaum, Joseph
AU - Rudolph, Linda
AU - Palmas, Fabrizio
AU - Vogel-Heuser, Birgit
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The impressive potential of Mixed Reality applications has been shown in consumer electronics over recent years. Furthermore, the concept of Digital Twins in production is one of the major trends in automation and enables a wide range of beneficial technologies. In this paper, we investigate how these two trends can be combined to optimize existing workflows in the process industry. We show applications of visualizing information from a DT with AR and VR environments based on two plant maintenance use cases in-depth and illustrate specific resource optimization potential. Afterward, detailed technical concepts are described to solve derived challenges. Finally, a fully integrated demonstrator implementation is presented to validate the proposed concepts.
AB - The impressive potential of Mixed Reality applications has been shown in consumer electronics over recent years. Furthermore, the concept of Digital Twins in production is one of the major trends in automation and enables a wide range of beneficial technologies. In this paper, we investigate how these two trends can be combined to optimize existing workflows in the process industry. We show applications of visualizing information from a DT with AR and VR environments based on two plant maintenance use cases in-depth and illustrate specific resource optimization potential. Afterward, detailed technical concepts are described to solve derived challenges. Finally, a fully integrated demonstrator implementation is presented to validate the proposed concepts.
UR - http://www.scopus.com/inward/record.url?scp=85208243887&partnerID=8YFLogxK
U2 - 10.1109/CASE59546.2024.10711753
DO - 10.1109/CASE59546.2024.10711753
M3 - Conference contribution
AN - SCOPUS:85208243887
T3 - IEEE International Conference on Automation Science and Engineering
SP - 3531
EP - 3538
BT - 2024 IEEE 20th International Conference on Automation Science and Engineering, CASE 2024
PB - IEEE Computer Society
T2 - 20th IEEE International Conference on Automation Science and Engineering, CASE 2024
Y2 - 28 August 2024 through 1 September 2024
ER -