Dynamic optimisation of elevators using biometric identification systems. (22nd June 2022)

• Record Type: Journal Article
• Authors: Cozac, Eugeniu; Gura, Dmitry; Bityutskiy, Alexey; Kiselev, Sergei; Repeva, Anastasia
• Is Part Of: International journal of simulation and process modelling. Volume 18:Number 1(2022)
• Page Start: 1
• Page End: 10
• Publication Date: 2022-06-22
• Subjects: lifting facility -- Markov process -- mathematical model -- traffic fluctuations -- biometric data -- SDG; Management -- Computer simulation -- Periodicals; Mathematical models -- Periodicals; Operations research -- Periodicals; Simulation methods -- Periodicals; 003.05
• Languages: English
• ISSNs: 1740-2123

Abstract

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 customer's preferences.