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Ag₂Se
CHEMICAL ENGINEERING JOURNAL · 2025 · IF 13.2

IoT-enabled hierarchical thermoelectric nanocomposites for adaptive fire safety systems: Self-powered sensing and threshold-tunable alerts

Chuanshen Wang,Haorui Dun,Lu Liu,Hongliang Ding,Hongfei He,Bicheng Lin,Wenyu Hu,Na Sun,Yuan Hu,Bin Yu

Traditional early fire warning systems struggle to meet the active protection demands of complex scenarios of environmental interference. Developing fire warning technologies with fast-response, self-powered, and intelligent interlocking capability has become an urgent priority to enhance safety protection levels. This study synthesized a hierarchical nanocomposite material based on thermoelectric Ag₂Se and polydopamine@carbon nanotubes (PDA@CNT). This composite was subsequently applied to the surface of mechanically strong and thermally stable Poly( p -phenylene benzobisoxazole) (PBO) fiber films to fabricate a dual-layer fire warning film. The output voltage of the composite film exhibited a strong linear relationship with temperature and can achieve over 100 cycles of repeatable fire warnings. The system can issue an fire warning signal within 1 s upon exposure to a heating stage at 200 °C. In combination with Halloysite nanotubes (HNTs), the hierarchical nanocomposite material was applied to the surface of a flammable wood to construct a flame-retardant-early-warning structure. The treated wood achieved UL-94 V0, and 45.5 % and 42.1 % reductions in the peak heat release rate (pHRR) and total heat release (THR), respectively., while retaining its sensitive fire warning functionality with an issuing signals within 4 s upon contact with a heating stage at 100 °C. By integrating Internet of Things (IoT) technology, a wireless intelligent thermoelectric response fire warning system with adjustable thresholds was developed, enabling rapid fire detection and real-time wireless transmission of fire warning signals. Voltage signals can be monitored in real-time via OLED displays and mobile devices, and the adjustable fire warning threshold voltage demonstrates flexibility in adapting to diverse application scenarios, showcasing the great potential for next-generation intelligent IoT-based fire warning applications.

研究领域: 材料科学 · 纳米技术 · 消防安全工程 · 物联网技术 · 热电材料 · 智能传感器 · 无线通信系统
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