Design of intelligent elevator control system

Yang He; Qin Li

doi:10.1117/12.2658811

23 November 2022 Design of intelligent elevator control system

Yang He, Qin Li

Proceedings Volume 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022); 124542M (2022) https://doi.org/10.1117/12.2658811
Event: International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 2022, Hohhot, China

Abstract

This control system is a modern new device which integrates sensing technology, computer technology, network communication technology and mobile communication technology. The system is mainly composed of STM32 single chip microcomputer (SCM) as the control core, sensor as the information detection element, with the corresponding executive mechanism, voice broadcast, display and mobile device. In addition to the functions of conventional push-key call and obstacle detection between elevator doors, it also has the functions of mobile phone remote monitoring, voice recognition control, telephone call alarm and so on. By detecting and recognizing the call signals from keys, mobile phones and voices, the SCM sends forward and reverse commands to the motor and PWM wave signals to the steering gear, so as to realize the opening and closing of elevator lifting and elevator doors. After the elevator reaches the target floor, there will be corresponding voice prompts. When the elevator door is opened, the infrared tube sensor is used to detect whether there are obstacles between the elevator doors. If so, the buzzer makes an alarm. If not, the elevator door closes with delay. All running states of the elevator will be displayed on the OLED screen in real time, and reported to the mobile phone for remote monitoring by users. The corresponding functions are realized after programming and physical debugging. The mobile phone remote call and voice call functions of the system have more prominent advantages during the COVID-19 or in hospitals, which can realize contactless riding, avoid contact with infected germs and greatly save waiting time.

Citation Download Citation

Yang He and Qin Li "Design of intelligent elevator control system", Proc. SPIE 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 124542M (23 November 2022); https://doi.org/10.1117/12.2658811

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KEYWORDS

Particle filters

Control systems

Cell phones

Control systems design

Speech recognition

Organic light emitting diodes

Infrared radiation

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