Paper
1 June 2023 Research on group control elevator scheduling method based on fuzzy control algorithm
Yang Lu, Jintai Li
Author Affiliations +
Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 126252D (2023) https://doi.org/10.1117/12.2670488
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China
Abstract
In the development of high-rise intelligent building innovation, people put forward higher requirements for the elevator inside the building. In order to continuously optimize the service quality and safety performance of the elevator, the staff has changed from the traditional single elevator control to the coordinated control of multiple elevators, also known as elevator group control. How to use elevator group control to provide quality services for building residents under the background of the new era is the main issue discussed by scholars in the field of architecture. Therefore, on the basis of understanding the research status of modern high-rise intelligent buildings, according to the fuzzy control technology and the structure principle of elevator group control system, this paper deeply discusses the group control elevator scheduling method with fuzzy control algorithm as the core. The final experimental results show that this scheduling method has more research advantages than other algorithms, which is helpful to realize elevator group optimization control quickly.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yang Lu and Jintai Li "Research on group control elevator scheduling method based on fuzzy control algorithm", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 126252D (1 June 2023); https://doi.org/10.1117/12.2670488
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KEYWORDS
Control systems

Fuzzy logic

Algorithm development

Computing systems

Control systems design

Mathematical optimization

Artificial neural networks

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