Department of Electrical and Electronics Engineering, University of West Attica, 12244 Athens, Greece.
Department of Industrial Design and Production Engineering, University of West Attica, 12244 Athens, Greece.
Sensors (Basel). 2021 Sep 15;21(18):6183. doi: 10.3390/s21186183.
During the last two years, the COVID-19 pandemic continues to wreak havoc in many areas of the world, as the infection spreads through person-to-person contact. Transmission and prognosis, once infected, are potentially influenced by many factors, including indoor air pollution. Particulate Matter (PM) is a complex mixture of solid and/or liquid particles suspended in the air that can vary in size, shape, and composition and recent scientific work correlate this index with a considerable risk of COVID-19 infections. Early Warning Systems (EWS) and the Internet of Things (IoT) have given rise to the development of Low Power Wide Area Networks (LPWAN) based on sensors, which measure PM levels and monitor In-door Air pollution Quality (IAQ) in real-time. This article proposes an open-source platform architecture and presents the development of a Long Range (LoRa) based sensor network for IAQ and PM measurement. A few air quality sensors were tested, a network platform was implemented after simulating setup topologies, emphasizing feasible low-cost open platform architecture.
在过去的两年中,COVID-19 疫情继续在世界许多地区肆虐,因为这种感染通过人与人之间的接触传播。一旦感染,传播和预后可能受到许多因素的影响,包括室内空气污染。颗粒物 (PM) 是悬浮在空气中的固体和/或液体颗粒的复杂混合物,其大小、形状和成分可能有所不同,最近的科学工作将这一指数与 COVID-19 感染的相当大风险联系起来。早期预警系统 (EWS) 和物联网 (IoT) 的发展催生了基于传感器的低功耗广域网 (LPWAN),这些传感器可以实时测量 PM 水平并监测室内空气质量 (IAQ)。本文提出了一种开源平台架构,并介绍了用于 IAQ 和 PM 测量的基于远程 (LoRa) 的传感器网络的开发。测试了一些空气质量传感器,在模拟设置拓扑结构后实现了网络平台,强调了可行的低成本开源平台架构。