Suppr超能文献

火灾探测传感器的最新进展

Recent Advances in Sensors for Fire Detection.

机构信息

College of Textile and Clothing Engineering, Soochow University, Suzhou 215123, China.

China-Australia Institute for Advanced Materials and Manufacturing, Jiaxing University, Jiaxing 314001, China.

出版信息

Sensors (Basel). 2022 Apr 26;22(9):3310. doi: 10.3390/s22093310.

Abstract

Fire is indeed one of the major contributing factors to fatalities, property damage, and economic disruption. A large number of fire incidents across the world cause devastation beyond measure and description every year. To minimalize their impacts, the implementation of innovative and effective fire early warning technologies is essential. Despite the fact that research publications on fire detection technology have addressed the issue to some extent, fire detection technology still confronts hurdles in decreasing false alerts, improving sensitivity and dynamic responsibility, and providing protection for costly and complicated installations. In this review, we aim to provide a comprehensive analysis of the current futuristic practices in the context of fire detection and monitoring strategies, with an emphasis on the methods of detecting fire through the continuous monitoring of variables, such as temperature, flame, gaseous content, and smoke, along with their respective benefits and drawbacks, measuring standards, and parameter measurement spans. Current research directions and challenges related to the technology of fire detection and future perspectives on fabricating advanced fire sensors are also provided. We hope such a review can provide inspiration for fire sensor research dedicated to the development of advanced fire detection techniques.

摘要

火灾确实是导致人员死亡、财产损失和经济中断的主要因素之一。每年,世界各地都有大量火灾事件造成难以估量的破坏。为了将其影响降到最低,必须采用创新和有效的火灾预警技术。尽管有关火灾探测技术的研究论文在一定程度上解决了这个问题,但火灾探测技术在减少误报、提高灵敏度和动态响应能力以及为昂贵和复杂的设备提供保护方面仍然面临挑战。在这篇综述中,我们旨在对火灾探测和监测策略的当前未来实践进行全面分析,重点介绍通过连续监测温度、火焰、气体含量和烟雾等变量来探测火灾的方法,以及它们各自的优缺点、测量标准和参数测量范围。还提供了与火灾探测技术相关的当前研究方向和挑战,以及制造先进火灾传感器的未来展望。我们希望这样的综述能为致力于开发先进火灾探测技术的火灾传感器研究提供灵感。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cffb/9100504/4d03e08df0ec/sensors-22-03310-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验