Abstract
Nowadays, scientific and industrial fields produce data at rates never seen before. They usually produce an extensive amount of raw data that should be transformed and manipulated to be stored correctly considering different storage perspectives. In many cases, due to the heterogeneity of the temporal data, these storage methods should be configured to make consistent data available for client consumption. Considering raw data management of a natural industrial environment to support specific local tasks, in this paper, an industrial effort model in the context of virtual environment data access was constructed. In this solution, the data were captured, processed, and available in almost real-time for in loco staff through VR technologies. The usage of these virtualized technologies in industrial areas is challenging and promissory due to the wide variety of applications to support locale tasks. The results presented are promising to support tasks and operational demands in complex industrial contexts.
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References
Chang, K.-C., Chiang, M.-H.: Design of data reduction approach for AIoT on embedded edge node In: IEEE 8th Global Conference on Consumer Electronics (GCCE), pp. 899–900 (2019)
Cummings, J.J., Bailenson, J.N., Fidler, M.J.: How immersive is enough. In: Proceedings of the International Society for Presence Research Annual Conference (2012)
Dilley, J., Maggs, B.., Parikh, J., Prokop, H., Sitaraman, R., Weihl, B.: Globally distributed content delivery. IEEE Internet Comput. 6, 50–58 (2002)
Friston, S., Fan, C., Doboš, J., Scully, T., Steed, A.: 3DRepo4Unity: dynamic loading of version controlled 3D assets into the Unity game engine. In: Proceedings of the 22nd International Conference on 3D Web Technology, vol. 15, pp. 1–9 (2017)
Jerald, J.: The VR book: human-centered design for virtual reality. Morgan & Claypool (2015)
Luo, D., Deng, X.-L., Luo, Y.-W., Wang, G.-X.: Design and implementation of virtual examination system based on unity 3D In: In Proceedings of the 2019 International Conference on Artificial Intelligence and Advanced Manufacturing, pp. 1–8 (2019)
PI System: Osisoft. https://www.osisoft.com/pi-system. 19 July 2021
Reinsel, D., Gantz, J., Rydning, J.: Data age 2025: the digitization of the world from edge to core In: Seagate. https://www.seagate.com/files/www-content/our-story/trends/files/idc-seagate-dataage-whitepaper.pdf (2018)
Mel Slater and Sylvia Wilbur: A framework for immersive virtual environments five: Speculations on the role of presence in virtual environments. In: Presence: Teleoperators & Virtual Environments, 6, 603–616 (1997)
Romero, T., da Silva Hounsell, M.: (org.). Introdução a Realidade Virtual e Aumentada. Porto Alegre: Editora SBC (2018)
Unity Learn - Creating a VR Menu (tutorial) - 2019.2. https://learn.unity.com/tutorial/creating-a-vr-menu-2019-2, 3 March 2021
Wang, X., Lu, S., Huang, W., Wang, Q., Zhang, S., Xia, M.: Efficient data reduction at the edge of industrial internet of things for PMSM bearing fault diagnosis. IEEE Trans. Instrum. Measur. 70, 1–12 (2021)
Wang, J., Phillips, L., Moreland, J., Wu, B., Zhou, C.: Simulation and visualization of industrial processes in unity. In: Proceedings of the Conference on Summer Computer Simulation, pp. 1–7 (2015)
Acknowledgments
We would like to thank the Federal University of Juiz de Fora (UFJF), the Federal University of Santa Catarina (UFSC), CNPq, CAPES, FAPEMIG, and INESC P&D Brazil through the project number PD-00673-0052/2018 that supported this study.
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Pioli, L., Thomé, T.G., Nunes, J.X.M., de Macedo, D.D.J., Junior, P.C.R.d.L., Dantas, M.A.R. (2022). A Scientific Model to Support Industrial Data Management Process Using Virtualized Environments. In: Barolli, L. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2021. Lecture Notes in Networks and Systems, vol 343. Springer, Cham. https://doi.org/10.1007/978-3-030-89899-1_15
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DOI: https://doi.org/10.1007/978-3-030-89899-1_15
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