Smart city based on digital twins

Enders, M. R., & Hoßbach, N. (2019). Dimensions of digital twin applications-a literature review. 25th Americas Conference on Information Systems, AMCIS 2019. Jimenez, J. I., Jahankhani, H., & Kendzierskyj, S. (2020). Health care in the cyberspace: medical cyber-physical system and digital twin challenges. Kaur, M. J., Mishra, V. P., & Maheshwari, P. (2020). The convergence of digital twin, IoT, and machine learning: transforming data into action. In Digital twin technologies and smart cities. Kharchenko, V., Illiashenko, O., Morozova, O., et al. (2020). Combination of digital twin and artificial intelligence in manufacturing using industrial IoT. In 2020 IEEE 11th international conference on dependable systems, services and technologies (DESSERT). IEEE. Khatib, M. M. E., Al-Nakeeb, A., & Ahmed, G. (2019). Integration of cloud computing with artificial intelligence and its impact on telecom sector—A case study. iBusiness, 11(1), 1–10. Kritzinger, W., Karner, M., Traar, G., Henjes, J., & Sihn, W. (2018). Digital twin in manufacturing: a categorical literature review and classification. IFAC-PapersOnLine, 51(11), 1016–1022. Li, D., Shao, Z., Yu, W., Zhu, X., & Zhou, S. (2020). Public epidemic prevention and control services based on big data of space-time location make cities smarter. Journal of Wuhan University Information Science Edition, 45(4), 475–487, 556. https://doi.org/10.13203/j.hugis20200145. Li, R., Zhao, Z., Zhou, X., et al. (2017). Intelligent 5G: when cellular networks meet artificial intelligence. IEEE Wireless Communications, PP(5), 2–10. Liu, S., Bao, J., Lu, Y., et al. (2020). Digital twin modeling method based on biomimicry for machining aerospace components. Journal of Manufacturing Systems. Mondoro, A., & Grisso, B. (2019). On the integration of SHM and digital twin for the fatigue assessment of naval surface ships. In Structural health monitoring 2019. O'Dwyer, E., Pan, I., Charlesworth, R., et al. (2020). Integration of an energy management tool and digital twin for coordination and control of multi-vector smart energy systems. Sustainable Cities and Society. Talkhestani, B. A., Jazdi, N., Schlögl, W., et al. (2018). Consistency check to synchronize the digital twin of manufacturing automation based on anchor points. Procedia CIRP, 72, 159–164. Tao, F., Cheng, J., Qi, Q., et al. (2018). Digital twin-driven product design, manufacturing and service with big data. The International Journal of Advanced Manufacturing Technology. Tao, F., Ma, X., Hu, T., et al. (2019). Research on digital twin standard system. Computer Intergraded Manufacturing Systems, 25(10), 2405–2418 (in Chinese). Tao, F., & Qi, Q. (2019). Make more digital twins. Nature., 573, 490–491. https://doi.org/10.1038/d41586-019-02849-1. Tao, F., Zhang, H., Qi, Q., et al. (2020). Digital twin ten question: analysis and thinking. Computer Integrated Manufacturing Systems, 026(001), 1–17. Yan, J., Zlatanova, S., Aleksandrov, M., et al. (2019). Integration of 3D objects and terrain for 3D modelling supporting the digital twin. In 14th 3D GeoInfo conference. Yu, Y., Fan, S., Peng, G., et al. (2017). Application of digital twin model in product configuration management. Aviation Manufacturing Technology, 60(7), 41–45. Zheng, Y., Yang, S., & Cheng, H. (2019). An application framework of digital twin and its case study. Journal of Ambient Intelligence and Humanized Computing, 10(3), 1141–1153.