Paper
5 July 2024 Wind-driven complex energy harvester for forest fire monitoring
Yun Yang, Fan Wu, Rongjie Li, Kuizhi Li, Shuping Xue, Tingting Cai
Author Affiliations +
Proceedings Volume 13183, International Conference on Optoelectronic Information and Functional Materials (OIFM 2024); 131831F (2024) https://doi.org/10.1117/12.3033857
Event: The 3rd International Conference on Optoelectronic Information and Functional Materials (OIFM 2024), 2024, Wuhan, China
Abstract
To solve the problem of continuous power supply of wireless monitoring system for forest fire, a small electromagnetic-triboelectric complex energy harvester is designed, which can convert wind energy into electric energy and realize real-time monitoring of wind speed. The energy conversion principle and law of triboelectric unit and electromagnetic unit are analyzed by simulation calculation. Test results demonstrate that the electric energy output increases proportionally with wind speed, reaching peak voltages of 13V and 100.9V for the electromagnetic unit and triboelectric unit respectively at a wind speed of 11 m/s. The frequency of open-circuit voltage from the triboelectric unit exhibits a linear relationship with wind speed, allowing for accurate sensing capabilities. By integrating a temperature and humidity acquisition module, positioning module, a flame sensor, an energy management circuit, and an energy storage module, a wireless monitoring system for forest fires is established to capture wind energy while transmitting temperature, humidity, and other information to mobile clients via Bluetooth technology. The system has important application value in the field of forest fire warning and prevention.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yun Yang, Fan Wu, Rongjie Li, Kuizhi Li, Shuping Xue, and Tingting Cai "Wind-driven complex energy harvester for forest fire monitoring", Proc. SPIE 13183, International Conference on Optoelectronic Information and Functional Materials (OIFM 2024), 131831F (5 July 2024); https://doi.org/10.1117/12.3033857
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KEYWORDS
Wind speed

Wind energy

Electromagnetism

Environmental monitoring

Forest fires

Magnetism

Wireless sensors

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