Real-time virtual reality visualization and control for digital twin applications in Industry 4.0
DOI:
https://doi.org/10.47611/jsrhs.v13i3.7392Keywords:
Virtual Reality, Industry 4.0, Digital TwinAbstract
The Fourth Industrial Revolution (Industry 4.0) aims to transform manufacturing processes through the use of technologies like the internet of things, cyber-physical systems, and artificial intelligence. Digital twins -virtual replicas of physical systems- emerged as powerful tools for monitoring, optimizing, and controlling Industry 4.0 operations. This paper explores applying virtual reality (VR) technology for real-time visualization and control of digital twin applications in Industry 4.0 cyber manufacturing environments.
I present the development and implementation of a VR twin environment for interacting and controlling of a 3D printer. The system features a custom Unity 3D software architecture with VR libraries, providing a realistic low-latency experience for navigating and visualizing real-time data such as pressure charts, live video feeds, and position data of 3D printer head. It also enables interacting with physical machines via their virtual counterparts, such as using a virtual on-off switch for the 3D printer. Through evaluation of hardware selection and software design decisions, the paper contributes novel insights into the use of VR twins in Industry 4.0 applications. It also explores integration of generative AI with the VR twin, which opens novel research directions for predictive simulations, what-if analyses, and intelligent decision support systems.
Downloads
References or Bibliography
Dalenogare, L. S., Benitez, G. B., Ayala, N. F., & Frank, A. G. (2018). The expected contribution of Industry 4.0 technologies for industrial performance. International Journal of production economics, 204, 383-394.
Jagatheesaperumal, S. K., Rahouti, M., Ahmad, K., Al-Fuqaha, A., & Guizani, M. (2021). The duo of artificial intelligence and big data for industry 4.0: Applications, techniques, challenges, and future research directions. IEEE Internet of Things Journal, 9(15), 12861-12885.
Javaid, M., Haleem, A., & Suman, R. (2023). Digital twin applications toward industry 4.0: A review. Cognitive Robotics, 3, 71-92.
Messaoudi, F., Simon, G., & Ksentini, A. (2015, December). Dissecting games engines: The case of Unity3D. In 2015 international workshop on network and systems support for games (NetGames) (pp. 1-6). IEEE.
Mystakidis, S. (2022). Metaverse. Encyclopedia, 2(1), 486-497.
Naranjo, J. E., Sanchez, D. G., Robalino-Lopez, A., Robalino-Lopez, P., Alarcon-Ortiz, A., & Garcia, M. V. (2020). A scoping review on virtual reality-based industrial training. Applied Sciences, 10(22), 8224.
Pivoto, D. G., de Almeida, L. F., da Rosa Righi, R., Rodrigues, J. J., Lugli, A. B., & Alberti, A. M. (2021). Cyber-physical systems architectures for industrial internet of things applications in Industry 4.0: A literature review. Journal of manufacturing systems, 58, 176-192.
Thames, L., & Schaefer, D. (2017). Industry 4.0: an overview of key benefits, technologies, and challenges. Cybersecurity for Industry 4.0: Analysis for Design and Manufacturing, 1-33.
Van der Valk, H., Haße, H., Möller, F., Arbter, M., Henning, J. L., & Otto, B. (2020, August). A Taxonomy of Digital Twins. In AMCIS.
Voštinár, P., Horváthová, D., Mitter, M., & Bako, M. (2021). The look at the various uses of VR. Open Computer Science, 11(1), 241-250.
Published
How to Cite
Issue
Section
Copyright (c) 2024 Ahmet Demirbas; Wenyao Xu

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright holder(s) granted JSR a perpetual, non-exclusive license to distriute & display this article.


