Research Article
A Collaborative Industrial Augmented Reality Digital Twin: Developing the Future of Shipyard 4.0
@INPROCEEDINGS{10.1007/978-3-031-06371-8_8, author={Aida Vidal-Balea and Oscar Blanco-Novoa and Paula Fraga-Lamas and Miguel Vilar-Montesinos and Tiago M. Fern\^{a}ndez-Caram\^{e}s}, title={A Collaborative Industrial Augmented Reality Digital Twin: Developing the Future of Shipyard 4.0}, proceedings={Science and Technologies for Smart Cities. 7th EAI International Conference, SmartCity360°, Virtual Event, December 2-4, 2021, Proceedings}, proceedings_a={SMARTCITY}, year={2022}, month={6}, keywords={Industry 4.0 Augmented Reality Industrial Augmented Reality Digital twin Maintenance Training Microsoft HoloLens Collaborative application}, doi={10.1007/978-3-031-06371-8_8} }- Aida Vidal-Balea
Oscar Blanco-Novoa
Paula Fraga-Lamas
Miguel Vilar-Montesinos
Tiago M. Fernández-Caramés
Year: 2022
A Collaborative Industrial Augmented Reality Digital Twin: Developing the Future of Shipyard 4.0
SMARTCITY
Springer
DOI: 10.1007/978-3-031-06371-8_8
Abstract
Training of workshop operators and maintenance of industrial machinery is a major expense in large companies, since the lack of this process or its poor execution increase the cost and risks associated with the operation and handling of sensitive and/or hazardous machinery. Augmented Reality (AR), specifically Industrial Augmented Reality (IAR), can be useful in such a context, since it is a key technology in the Industry 4.0 paradigm that can enhance worker performance, reduce risks and improve production processes. This article proposes an IAR digital twin system that provides a dynamic way for industrial companies to perform operator training with a full-size model of the real equipment and to carry out a step-by-step in-situ guidance by adding contextual information and alerts so that maintenance processes are performed more safely and efficiently even by operators with a low level of training. The proposed system also allows several users to use devices simultaneously, providing a new way of collaborative interaction, thus facilitating communications and awareness of the environment. In addition, an Industrial Internet of Things (IIoT) system was successfully integrated with the developed system, enabling real-time interaction with the environment. Since one of the aims of the developed system was to provide a smooth user experience, performance tests were carried out with several simultaneous users by measuring their response latency as the number of connected users increased. As a result, it has been identified the IAR layer of the proposed architecture as the bottleneck of the system, as it has to deal with rendering delays.
