Elevator intelligent reservation scheduling system based on digital twin

Yi Xian Zou; Dong Li Hao; Xin Yu Zhang; Yi Zhi Xu

doi:10.1117/12.2639692

19 October 2022 Elevator intelligent reservation scheduling system based on digital twin

Yi Xian Zou, Dong Li Hao, Xin Yu Zhang, Yi Zhi Xu

Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 122943M (2022) https://doi.org/10.1117/12.2639692
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China

Abstract

As an important enabling way to realize digital transformation and promote intelligent upgrading, digital twins have been attracting attention from all walks of life, and have moved from theoretical research to practical application. At present, most domestic elevators still use the traditional dispatching system. The traditional elevator dispatching system can't realize intelligent elevator man-machine interaction, which leads to a series of problems such as low efficiency and poor linkage of elevator group control. Thus, this paper designs an intelligent elevator dispatching system based on digital twins, which combines digital twins with artificial intelligence identification technology, internet of things, cloud database technology and so on. The system consists of four parts: physical elevator model, virtual elevator model, elevator twin data model and mobile phone client. Furthermore, the rational allocation of elevator resources is strengthened, and the interaction ability between elevators and passengers is enhanced. While improving the comfort of passengers, it also reduces the energy consumption of the elevator macroscopically.

Citation Download Citation

Yi Xian Zou, Dong Li Hao, Xin Yu Zhang, and Yi Zhi Xu "Elevator intelligent reservation scheduling system based on digital twin", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 122943M (19 October 2022); https://doi.org/10.1117/12.2639692

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