E3S Web of Conferences (Jan 2024)

Design of intelligent desktop fan based on MQTT

  • Xie Zaijin,
  • Chen Yuxiang,
  • Deng Minjin

DOI
https://doi.org/10.1051/e3sconf/202452201036
Journal volume & issue
Vol. 522
p. 01036

Abstract

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At present, although the desktop fan has frequency conversion speed regulation, automatic head swing, remote control, etc., it is unable to learn the usage habits, lack of environmental perception, and lack of comprehensive analysis of data feedback, etc. This scheme proposes to design a desktop fan based on MQTT protocol and artificial intelligence principle, users learn from past operations, and predict user needs according to the existing sensor data. Intelligent analysis of the operating environment and status of the fan, timely shutdown or power adjustment, optimize the energy efficiency of the fan, through the deep application of advanced artificial intelligence technology, significantly improve the user experience.

Keywords