Academic Journal of Engineering and Technology Science, 2024, 7(2); doi: 10.25236/AJETS.2024.070223.
Min Wang, Jing Tong, Haoting Lu
Information School, Beijing City University, Beijing, China
With the rapid development of industrial information technology and intelligence, the digital twin technologyofthe metaverse has been widely applied in various fields. This article focuses on the application of metaverse digital twin technology in campus scenarios, combining game engine technology and metaverse concepts to develop a metaverse digital twin system suitable for campuses. The definition of the concept of the metaverse, the application of digital twin technology in metaverse technology, and the role of game engines in it are explored. By analyzing the application scenarios of campus themes, it aims to provide the advanced management tools, the innovative teaching methods and the efficient campus services for the campus environment. Ultimately, it will discuss the technological advantages and potential challenges, which can provide guidance for the future research and practical applications.
Metaverse; Digital twin; Game engine; Campus application
Min Wang, Jing Tong, Haoting Lu. Digital Twin Technology of Metaverse Based on Game Engine in the Campus Application Scenarios. Academic Journal of Engineering and Technology Science (2024) Vol. 7, Issue 2: 157-163. https://doi.org/10.25236/AJETS.2024.070223.
[1] How to define "metaverse" and so on? Consensus reached at the National Science and Technology Vocabulary Committee Seminar. China News Network, September 14, 2022.
[2] Grieves M. Digital twin: manufacturing Excel through virtual factory replication [J]. White paper, 2014, 1:1-7.
[3] Tao F, Zhang H, Liu A, et al. Digital twin in industry: State of the art [J]. IEEE Transactions on Industrial Informatics, 2018, 15 (4): 2405-2415.
[4] Weyer S, Meyer T, Ohmer M, et al. Future modeling and simulation of cps based factors: an example from the automotive industry [J]. Ifac Papersonline, 2016, 49 (31): 97-102.
[5] Qi Q, Tao F. Digital twin and big data rewards smart manufacturing and industry 4.0: 360 degree comparison [J]. Ieee Access, 2018, 6: 3585-3593.
[6] Gehrmann C, Gunnarsson M. A digital twin based industrial automation and control system security architecture [J]. IEEE Transactions on Industrial Informatics, 2019, 16 (1): 669-680.
[7] Murillo A F, Rueda S. Access control policies for network function virtualization environments in industrial control systems [C]. 2020 4th Conference on Cloud and Internet of Things (CIoT), 2020: 17-24.
[8] Xu Y, Sun Y, Liu X, et al. A digital win assisted fault diagnosis using deep transfer learning [J]. IEEE Access, 2019, 7:19990-19999.
[9] Nie Rongmei, Zhou Xiaoya, Xiao Jin, etc. Overview, Analysis, and Development Prospects of Digital Twin Technology [J]. Aerospace General Technology, 2022, 6 (1): 6.
[10] Liu Datong, Guo Kai, Wang Benkuan, etc. Overview and prospects of digital twin technology [J]. Journal of Instrumentation, 2018, 39 (11): 10.
[11] Eckhart M, Ekelhart A. Towards security aware virtual environments for digital twins [C]. Proceedings of the 4th ACM workshop on cyber physical system security, 2018: 61-72.
[12] Zhang Xing. Research on digital transformation strategies for vocational anime design majors based on the metaverse [J]. Journal of Hubei Open University, 2023, 43 (06): 46-50+57.
[13] Wan Ling, Hu Peiyu, Wu Junjie, et al. Simulation and experiment of corn no tillage seeder operating unit in the metaverse environment [J/OL]. Journal of Agricultural Machinery: 1-12 [2024-03-21].
[14] Pang Shiying. Empowering Immersive Cultural Tourism with Metaverse: Intrinsic Logic and Implementation Guarantee [J]. Comparative Study of Cultural Innovation, 2023, 7 (35): 126-131.
[15] Luo Qiang, Wang Qiumei, Qiu Weiwei. Exploration of twin applications of natural resources under the concept of metaverse [J/OL]. Natural Resource Informatization, 1-8 [2024-03-21].