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Ultrafast Response and Threshold Adjustable Intelligent Thermoelectric Systems for Next-Generation Self-Powered Remote IoT Fire Warning.
Ding, Zhaofu; Li, Gang; Wang, Yejun; Du, Chunyu; Ye, Zhenqiang; Liang, Lirong; Tang, Long-Cheng; Chen, Guangming.
Afiliación
  • Ding Z; College of Materials Science and Engineering & College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, 518055, People's Republic of China.
  • Li G; College of Materials Science and Engineering & College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, 518055, People's Republic of China.
  • Wang Y; 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.
  • Du C; College of Materials Science and Engineering & College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, 518055, People's Republic of China.
  • Ye Z; College of Materials Science and Engineering & College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, 518055, People's Republic of China.
  • Liang L; College of Materials Science and Engineering & College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, 518055, People's Republic of China. lianglirong@szu.edu.cn.
  • Tang LC; 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. lctang@hznu.edu.cn.
  • Chen G; College of Materials Science and Engineering & College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, 518055, People's Republic of China. chengm@szu.edu.cn.
Nanomicro Lett ; 16(1): 242, 2024 Jul 10.
Article en En | MEDLINE | ID: mdl-38985378
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.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Nanomicro Lett Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Nanomicro Lett Año: 2024 Tipo del documento: Article