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Dynamic optimisation of elevators using biometric identification systemsстатья
- Авторы: Cozac E., Gura D., Bityutskiy A., Kiselev S., Repeva A.
- Журнал: International Journal of Simulation and Process Modelling
- Том: 17
- Номер: 3
- Год издания: 2022
- Издательство: Inderscience Publishers
- Местоположение издательства: United Kingdom
- DOI: 10.1504/IJSPM.2022.10045827
- Аннотация: The research focused on developing a real-time monitoring algorithm for elevators in residential towers. The study employed methods, models, and software tools to build intelligent real-time decision-making systems. A model for the elevator setting process was implemented through a Markov decision-making process. The theory of mass service was applied to describe the model of elevator operations. Passenger waiting time patterns at some levels of the towers have been established. A mathematical model for managing passenger flows through the elevators of a high-rise building in real-time using facial recognition identification technology has been developed. In test mode, a face-recognition elevator control system has been installed in 4 elevators. Results from experiments and theoretical calculations were statistically processed in Statistica and MS Excel software. The proposed solution allows optimizing numerous elevator systems with a constantly evolving control algorithm tailored to the customer's preferences.
- Добавил в систему: Репьева А.