Issue |
E3S Web Conf.
Volume 522, 2024
2023 9th International Symposium on Vehicle Emission Supervision and Environment Protection (VESEP2023)
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Article Number | 01036 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/e3sconf/202452201036 | |
Published online | 07 May 2024 |
Design of intelligent desktop fan based on MQTT
1,2 Department of Material Science and Engineering, University of Bucharest, Romania
3 School of Material Science and Engineering, Materials University, Beijing, China
* Corresponding author: zjxie@scut.edu.cn
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.
Key words: MQTT protocol / Sensor data prediction / Analyze the operating environment / Artificial intelligence design
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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