感知
预警系统
鉴定(生物学)
主动感知
计算机科学
人工智能
心理学
生态学
电信
生物
神经科学
作者
Xuan Song,Teng Fu,Jing Pi,Xiuli Wang,Fei Song,Yang Yang,Ran Wang,Ze‐Peng Deng,Yu‐Zhong Wang
标识
DOI:10.1002/adfm.202210251
摘要
Abstract The continuation of human civilization has always been accompanied by symbiosis and confrontation with fire. Particularly, humans can comprehensively recognize fire situations based on various sensory receptors in organs (eyes, skin, nose, etc.), further forming a sound fire perception system by in‐the‐brain recording, modeling, and understanding fire behaviors, leading to the most accurate fire treatments. If a sensing perception system can mimic human perceptual behavior and carry out real‐time fire recognition, such an active defense system can achieve real fire safety. Here, inspired by the brain‐centered perception system, an early‐fire perception system enabled by a VO 2 ‐based temperature‐flame‐modulated optical switch, and a machine‐learning‐assistant demodulation algorithm is reported. This approach creates real‐time monitoring composed of early fire warning (1 s for candle flame and 4 s for 130 °C heat flow), fire cause recognition (95.7% accuracy in identification), and evacuation advice provision, advancing the technologies in the perception system that enable future sensors the comprehensive perception capability for fire state.
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