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一种用于检测环境中火灾起火主要因素的低成本设备的设计与分析

Design and Analysis of a Low-Cost Device for Detecting Prime Factors of Fire Ignition in Environment.

作者信息

Chatterjee Mary, Hooda Kirti, Kaur Manjeet, Chauhan Krishan Kumar, Bharti Saumya, Joshi Garima, Aggarwal Naveen

机构信息

Department of Biotechnology, University Institute of Engineering and Technology, Panjab University, Sector-25, South Campus, Chandigarh 160014, India.

Centre for Nanoscience and Nanotechnology, Panjab University, Sector-25, South Campus, Chandigarh 160014, India.

出版信息

ACS Omega. 2025 May 22;10(21):21040-21052. doi: 10.1021/acsomega.4c07465. eCollection 2025 Jun 3.

DOI:10.1021/acsomega.4c07465
PMID:40488104
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12138710/
Abstract

In order to mitigate environmental hazards of sudden fire breakout like landfill fire, it is essential to identify harmful gases in the surrounding that can cause fire ignition. Wireless sensor networks for gas detection employ linked sensors to continuously monitor several sites, giving a comprehensive view of the surroundings. In the work presented in this paper, a device is designed that can detect dangerous gases indoors and outdoors, collect data, and analyze variances in gas levels. The designed device is able to detect CO (carbon dioxide), CH (methane), smoke, temperature, and humidity. A cloud-based dashboard on Adafruit IO has been used to store and analyze the data. The device has been validated by performing a laboratory-based study with increasing concentration of reactants (using sodium acetate and sodium hydroxide as reactants of CH gas generation) in the laboratory. A direct correlation between reactant concentration and CH generation has been observed, which indicates the robust working of the device. After device validation, real-time case studies have been conducted to check the pattern of CH gas generation in different scenarios.

摘要

为了减轻诸如垃圾填埋场火灾等突发火灾爆发带来的环境危害，识别周围可能引发火灾的有害气体至关重要。用于气体检测的无线传感器网络采用链接的传感器持续监测多个地点，从而全面了解周围环境。在本文所呈现的工作中，设计了一种能够在室内和室外检测危险气体、收集数据并分析气体水平变化的设备。所设计的设备能够检测一氧化碳（CO）、甲烷（CH）、烟雾、温度和湿度。已使用Adafruit IO上基于云的仪表板来存储和分析数据。通过在实验室中进行基于反应物浓度增加（使用醋酸钠和氢氧化钠作为产生CH气体的反应物）的实验室研究，对该设备进行了验证。观察到反应物浓度与CH生成之间存在直接相关性，这表明该设备工作稳定。在设备验证之后，进行了实时案例研究，以检查不同场景下CH气体的生成模式。

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