With the continuous development of the science and technology, driven by the emerging industrial information systems and industrial intelligence, the digital twin technology has become a new research hotpot. In view of this, the basic concepts, application prospects, technical connotations and development trends of digital twin technology, as well as the existing preliminary research plans and the phased achievements are reviewed. The digital twin technology system, key technologies, development trends and technical challenges in the field of campus oriented intelligent operation and maintenance are summarized. It is expected to provide some references for the application of digital twin technology in campus.

Min Wang, Xiaotian Bi, Fengshuo Liu. Research on Digital Twin Technology and Application in Campus. The Frontiers of Society, Science and Technology (2023) Vol. 5, Issue 5: 118-123. https://doi.org/10.25236/FSST.2023.050519.

[1] Nie Rongmei, Zhou Xiaoya, Xiao Jin, et al Overview, Analysis and Development Prospect of Digital Twin Technology [J]. Aerospace General Technology, 2022,6 (1): 6. 

[2] Liu Datong, Guo Kai, Wang Benkuan, et al Overview and Prospect of Digital Twin Technology [J]. Journal of Instrumentation, 2018, 39 (11): 10. 

[3] Grieves M. Digital twin: manufacturing excellence through virtual factory replication [J]. White paper, 2014, 1: 1-7.

[4] 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.

[5] Weyer S, Meyer T, Ohmer M, et al. Future modeling and simulation of cps-based factories: an example from the automotive industry [J]. Ifac-Papersonline, 2016, 49(31): 97-102.

[6] Qi Q, Tao F. Digital twin and big data towards smart manufacturing and industry 4.0: 360 degree comparison [J]. Ieee Access, 2018, 6: 3585-3593.

[7] 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.

[8] 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.

[9] Xu Y, Sun Y, Liu X, et al. A digital-twin-assisted fault diagnosis using deep transfer learning [J]. IEEE Access, 2019, 7: 19990-19999.

[10] 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.

[11] Wu Yan, Wang Xiaojun, He Yong, et al Overview of key technologies and applications of digital twins in manufacturing industry [J]. Modern Manufacturing Engineering, 2021 (009): 000.

[12] Lu Jinling, Yan Luhan, La Zhiyuan, Liu Xiaopeng, Ren Hui. Real-time optimal scheduling strategy for integrated energy systems based on digital twins and dynamic energy efficiency models [J]. Grid Technology, 2023, 47 (01): 226-238. 

[13] Wang Yiru. A three-dimensional campus vehicle roaming system based on digital twins [J]. Computer Knowledge and Technology, 2022, 18 (06): 94-96.

[14] Liu Xiaoxia. Research on campus security system dedicated LAN communication system [J]. Changjiang Information Communication, 2022 (007): 035.

[15] Chen Lei. Research on the Intelligent Party Building System in Universities Based on "Digital Twin+Artificial Intelligence" [J]. Modern Educational Technology, 2022, 32 (4): 7.

[16] Li Haifeng, Wang Wei. Research on the Teaching Model of Digital Twin Education Application -- Based on the Case Analysis of Digital Twin Education Application in the United States, Switzerland, and Finland [J]. Modern Educational Technology, 2021, 31 (7): 9.

[17] Sun Tingting, Xu Qian, Luo Chenyu. The Application of Digital Twin Technology in Campus Management [J]. Education and Teaching Forum, 2020 (28): 131-132.

[18] Yang Xiaoqing, Chen Zhuojun. Research on the Application of Digital Twin Technology in Campus Security [J]. Modern Educational Technology, 2020 (11): 45-49.

[19] Chen Siwen, Yu Min. Application and Research of Digital Twin Technology in Campus Intelligent Construction [J]. Information Education, 2020 (10): 36-38.

[20] Wang Wei, Wang Dan. The application of digital twin technology in campus intelligent construction [J]. Modern Educational Technology, 2021 (2): 53-55.