TY - GEN
T1 - Maintenance in Process Industries with Digital Twins and Mixed Reality
T2 - 2022 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022
AU - Rudolph, L.
AU - Pantforder, D.
AU - Palmas, F.
AU - Fischer, M.
AU - Niermann, P.
AU - Klinker, G.
AU - Vogel-Heuser, B.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Mixed reality and digital twins offer two prominent technological approaches that have the potential to revolutionize chemical industries. However, there are some hurdles that need to be overcome before these technologies can be widely adopted. One major challenge can be found in cooperation of interdisciplinary teams. In order to create an effective practical solution, mixed reality researchers need to be aware of the heterogeneity of data, scale and requirements of the real-life scenes. Moreover, engineers in process industries need to understand the functional requirements of mixed reality solutions. To close this existing gap, this paper presents an exemplary use case model with market requirements and technological potentials, system interfaces, and role models to serve as a reference model for future trans-disciplinary research on this use case.
AB - Mixed reality and digital twins offer two prominent technological approaches that have the potential to revolutionize chemical industries. However, there are some hurdles that need to be overcome before these technologies can be widely adopted. One major challenge can be found in cooperation of interdisciplinary teams. In order to create an effective practical solution, mixed reality researchers need to be aware of the heterogeneity of data, scale and requirements of the real-life scenes. Moreover, engineers in process industries need to understand the functional requirements of mixed reality solutions. To close this existing gap, this paper presents an exemplary use case model with market requirements and technological potentials, system interfaces, and role models to serve as a reference model for future trans-disciplinary research on this use case.
KW - Digital Twin
KW - Mixed Reality
KW - Process Industries
KW - Requirements Engineering
UR - https://www.scopus.com/pages/publications/85146310528
U2 - 10.1109/IEEM55944.2022.9989826
DO - 10.1109/IEEM55944.2022.9989826
M3 - Conference contribution
AN - SCOPUS:85146310528
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 474
EP - 481
BT - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022
PB - IEEE Computer Society
Y2 - 7 December 2022 through 10 December 2022
ER -