预警系统
警报
材料科学
计算机科学
假警报
信号(编程语言)
火灾探测
环境科学
纳米技术
人工智能
电信
建筑工程
复合材料
工程类
程序设计语言
作者
Teng Fu,Xi Zhao,Lin Chen,Wan‐Shou Wu,Qing Zhao,Xiu‐Li Wang,De‐Ming Guo,Yu‐Zhong Wang
标识
DOI:10.1002/adfm.201806586
摘要
Abstract The fire detection plays a critical role in the maintenance of public security. Previous approaches of early fire warning, based on smoke or temperature response must be set in the proximity of a fire. They cannot provide the additional information of fire location or size and are susceptible to complicated situations. It is still a big challenge to make rapid and accurate early fire warning in precombustion because of the lack of reliable alarm signals. Herein, a precursor molecular sensor (PMS) is designed and synthesized that can present the chemical structure transformation to form phthalocyanines (Pcs) and release a color change signal at about 180 °C, learning from the plant chlorophyll metabolism. Further, the PMS is assembled to an early fire warning component (EWC) and an intelligent image recognition algorithm is introduced for unburned fire detection. The EWC generates a colorful alarm within 20 s at 275 °C. Therefore, the facile PMS provides a reliable real‐time monitoring strategy to the early fire warning detection in precombustion.
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