利用纳米四轴飞行器检测室内环境中挥发性有机物(VOCs)

IF 4.4 2区 地球科学 Q1 REMOTE SENSING
Drones Pub Date : 2023-11-06 DOI:10.3390/drones7110660
Aline Mara Oliveira, Aniel Silva Morais, Gabriela Vieira Lima, Rafael Monteiro Jorge Alves Souza, Luis Cláudio Oliveira-Lopes
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引用次数: 0

摘要

化学气体的扩散对人类健康、动物和环境构成威胁。样品和实验室材料处理过程中的泄漏或事故可能导致危险或爆炸性物质的不受控制的释放。因此,监测这些物质被操纵的环境中的气体浓度是至关重要的。近年来,气体传感器技术发展迅速,提供了越来越精确和可靠的解决方案。然而,仍然有挑战需要克服,特别是当传感器部署在无人驾驶飞行器(uav)上时。本文讨论了使用无人机定位气源,并展示了使用crazyfly 2.1纳米四轴飞行器上的SGP40金属氧化物半导体气体传感器的真实测试结果。本文提出的解决方案使用气味源识别策略,在三维环境中采用气体分布映射方法。这项研究的目的是调查这种方法在难以进入或对人类有危险的地区检测气体的可行性和有效性。所获得的结果表明,使用配备气体传感器的无人机是检测和监测封闭环境中气体泄漏的一种有前途的替代方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of Volatile Organic Compounds (VOCs) in Indoor Environments Using Nano Quadcopter
The dispersion of chemical gases poses a threat to human health, animals, and the environment. Leaks or accidents during the handling of samples and laboratory materials can result in the uncontrolled release of hazardous or explosive substances. Therefore, it is crucial to monitor gas concentrations in environments where these substances are manipulated. Gas sensor technology has evolved rapidly in recent years, offering increasingly precise and reliable solutions. However, there are still challenges to be overcome, especially when sensors are deployed on unmanned aerial vehicles (UAVs). This article discusses the use of UAVs to locate gas sources and presents real test results using the SGP40 metal oxide semiconductor gas sensor onboard the Crazyflie 2.1 nano quadcopter. The solution proposed in this article uses an odor source identification strategy, employing a gas distribution mapping approach in a three-dimensional environment. The aim of the study was to investigate the feasibility and effectiveness of this approach for detecting gases in areas that are difficult to access or dangerous for humans. The results obtained show that the use of drones equipped with gas sensors is a promising alternative for the detection and monitoring of gas leaks in closed environments.
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来源期刊
Drones
Drones Engineering-Aerospace Engineering
CiteScore
5.60
自引率
18.80%
发文量
331
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