Dynamic optimisation of elevators using biometric identification systems
Cozac E. Gura D. Bityutskiy A. Kiselev S. Repeva A.
2022Inderscience Publishers
International Journal of Simulation and Process Modelling
2022#18Issue 11 - 10 pp.
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 four elevators. The scientific value of the work resides in the multi-purpose nature of the mathematical optimisation model, its simplicity and accuracy. The proposed model allows optimising numerous elevator systems with a constantly evolving control algorithm tailored to the customers preferences.
biometric data , lifting facility , Markov process , mathematical model , SDG , traffic fluctuations
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Technical University of Moldova, Chisinau, 2004, Moldova
GAN, c.o. Memery Crystal Llp, London, EC4A 2DY, United Kingdom
Kuban State Technological University, Krasnodar, 350072, Russian Federation
Kuban State Agrarian University, Krasnodar, 350004, Russian Federation
Invent Technology Laboratory, Almaty, 050052, Kazakhstan
Russian Technological University, Moscow, 115583, Russian Federation
Moscow State University of Civil Engineering (National Research University), Moscow, 117403, Russian Federation
Technical University of Moldova
GAN
Kuban State Technological University
Kuban State Agrarian University
Invent Technology Laboratory
Russian Technological University
Moscow State University of Civil Engineering (National Research University)
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