Issue

Vol. 16 (2024)

Ultrafast Response and Threshold Adjustable Intelligent Thermoelectric Systems for Next-Generation Self-Powered Remote IoT Fire Warning

https://doi.org/10.1007/s40820-024-01453-x
Zhaofu Ding
College of Materials Science and Engineering & College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518055, People’s Republic of China
Gang Li
College of Materials Science and Engineering & College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518055, People’s Republic of China
Yejun Wang
College of Material, Chemistry and Chemical Engineering, Key Laboratory of Organosilicon Chemistry and Material Technology of MoE, Hangzhou Normal University, Hangzhou 311121, People’s Republic of China
Chunyu Du
College of Materials Science and Engineering & College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518055, People’s Republic of China
Zhenqiang Ye
College of Materials Science and Engineering & College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518055, People’s Republic of China
Lirong Liang
College of Materials Science and Engineering & College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518055, People’s Republic of China
Long‑Cheng Tang
College of Material, Chemistry and Chemical Engineering, Key Laboratory of Organosilicon Chemistry and Material Technology of MoE, Hangzhou Normal University, Hangzhou 311121, People’s Republic of China
Guangming Chen
College of Materials Science and Engineering & College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518055, People’s Republic of China

Corresponding Author: Guangming Chen

chengm@szu.edu.cn

Nano-Micro Letters, Vol. 16 (2024), Article Number: 242

Abstract

Fire warning is vital to human life, economy and ecology. However, the development of effective warning systems faces great challenges of fast response, adjustable threshold and remote detecting. Here, we propose an intelligent self-powered remote IoT fire warning system, by employing single-walled carbon nanotube/titanium carbide thermoelectric composite films. The flexible films, prepared by a convenient solution mixing, display p-type characteristic with excellent high-temperature stability, flame retardancy and TE (power factor of 239.7 ± 15.8 μW m−1 K−2) performances. The comprehensive morphology and structural analyses shed light on the underlying mechanisms. And the assembled TE devices (TEDs) exhibit fast fire warning with adjustable warning threshold voltages (1–10 mV). Excitingly, an ultrafast fire warning response time of ~ 0.1 s at 1 mV threshold voltage is achieved, rivaling many state-of-the-art systems. Furthermore, TE fire warning systems reveal outstanding stability after 50 repeated cycles and desired durability even undergoing 180 days of air exposure. Finally, a TED-based wireless intelligent fire warning system has been developed by coupling an amplifier, analog-to-digital converter and Bluetooth module. By combining TE characteristics, high-temperature stability and flame retardancy with wireless IoT signal transmission, TE-based hybrid system developed here is promising for next-generation self-powered remote IoT fire warning applications.


Highlights:
1 The flexible single-walled carbon nanotube/titanium carbide composite films exhibit excellent thermoelectric (TE), high-temperature stable and flame-retardant properties.
2 The assembled TE device achieves an ultrafast fire warning response time of ~ 0.1 s with a threshold voltage of 1 mV.
3 The fire warning device demonstrates exceptional repeatability and long-term stability.
4 The designed intelligent system is promising for next-generation self-powered remote IoT fire warning applications.

Keywords

Thermoelectric Self-powered IoT fire warning Ultrafast response Threshold adjustable
Ding, Zhaofu, Gang Li, Yejun Wang, Chunyu Du, Zhenqiang Ye, Lirong Liang, Long‑Cheng Tang, and Guangming Chen. 2024. “Ultrafast Response and Threshold Adjustable Intelligent Thermoelectric Systems for Next-Generation Self-Powered Remote IoT Fire Warning”. Nano-Micro Letters 16 (July):242. https://doi.org/10.1007/s40820-024-01453-x.
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