A scalable approach to monitoring air pollution using IoT

Q3 Medicine
Mandeep Kumar, S. Mini, T. Panigrahi
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引用次数: 4

Abstract

Rapid industrialization has caused an increase in the pollution levels. The release of harmful gases, particulate matter, dust and detritus into the atmosphere leads to air pollution. One can reduce air-borne diseases by controlling the air pollution. In this paper, we design an Internet of Things (IoT) system to monitor the air quality at desired location(s). The IoT system monitors five different gases with the help of air quality monitoring sensors. The system detects the concentration of gases and sends the data to the ThingSpeak cloud for storage. The results of such a system may be useful for alerting the people and the authorities, in case of high air pollution.
利用物联网监测空气污染的可扩展方法
快速的工业化导致了污染水平的增加。有害气体、颗粒物质、灰尘和碎屑释放到大气中导致空气污染。人们可以通过控制空气污染来减少空气传播疾病。在本文中,我们设计了一个物联网(IoT)系统来监测所需位置的空气质量。物联网系统借助空气质量监测传感器监测五种不同的气体。该系统检测气体浓度,并将数据发送到ThingSpeak云存储。在空气污染严重的情况下,这种系统的结果可能对提醒人们和当局有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Koomesh
Koomesh Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
0
审稿时长
24 weeks
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