• Advanced Fiber Materials
  • Vol. 7, Issue 5, 00569 (2025)
Xiang Dong1、†, Yan Ma1、†, Shidai Zhang2、†, Caiyu Rong3、†, Xiaoyu Jiang1、†, Yan Li1、†, Shibin Nie4、†, and Konghu Tian5、†
Author Affiliations
  • 1School of Safety Science and Engineering, Anhui University of Science and Technology, Huainan, 232001 Anhui, China
  • 2Zhongding Integration Technology Co., Ltd., Wuxi, 214100 Jiangsu, China
  • 3Institute of Energy, Hefei Comprehensive National Science Center, Hefei, 230031 Anhui, China
  • 4School of Public Security and Emergency Management, Anhui University of Science and Technology, Hefei, 231131 Anhui, China
  • 5Analysis and Test Center, Anhui University of Science and Technology, Huainan, 232001 Anhui, China
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    DOI: 10.1007/s42765-025-00569-y Cite this Article
    Xiang Dong, Yan Ma, Shidai Zhang, Caiyu Rong, Xiaoyu Jiang, Yan Li, Shibin Nie, Konghu Tian. Rigorous Fireproofing, Thermal Protection, Graded Fire Alarm and Body Language Recognition: Designing Nano-Coated Aramid for Smart Firefighting Clothing[J]. Advanced Fiber Materials, 2025, 7(5): 00569 Copy Citation Text show less

    Abstract

    Smart firefighting clothing is in urgent need of rigorous fire resistance. Here, a novel 2D nanomaterial, silver nanoparticle@polydopamine@M(OH)(OCH3) (M=Co, Ni) (AgNP@PDA@M(OH)(OCH3)), was utilized to construct self-assembled nano-coated aramid fiber (NCANF). Through phase interface catalysis and high-temperature reduction, NCANF forms a distinctive “metal–carbon–air” honeycomb-like buffer that enables NCANF to withstand the butane flame (1300 °C) for at least 60 s, exceeding the performance of firefighting uniform (FU, Nomex) in service. In this process, the back temperature of NCANF decreased by more than 50% compared to FU, with a maximum difference of 236.1 °C. NCANF offers a rapid fire alarm response under 3 s with a maximum resistance change rate of 15%, and supports the graded indication using arithmetic amplifier circuit. NCANF maintained a maximum resistance change rate of approximately 63% during 50 repeated bends of the manipulator joint. Leveraging the relationship between the joint bending angle and resistance change rate, an “attitude code” system can be established as the initial parameter matrix of a neural network and can enable the recognition of the firefighters’ body language. NCANF well solves the problem of current smart firefighting clothing that lacks rigorous fireproofing and is promising to establish a linked rescue mode based on real-time on-site information collection.
    Xiang Dong, Yan Ma, Shidai Zhang, Caiyu Rong, Xiaoyu Jiang, Yan Li, Shibin Nie, Konghu Tian. Rigorous Fireproofing, Thermal Protection, Graded Fire Alarm and Body Language Recognition: Designing Nano-Coated Aramid for Smart Firefighting Clothing[J]. Advanced Fiber Materials, 2025, 7(5): 00569
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