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Air Quality Monitoring Systems using IoT: A Review

机译:使用物联网的空气质量监测系统:回顾

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High population and urbanization growth rate raises the issue of air pollution in recent years. Air quality monitoring is one of the major concerns due to its influence on human health. With the advancement in sensing and embedded technology, Internet of Things(IoT) becomes one of the economic alternative to implement air quality monitoring system(AQMS)compared to costly and fixed air quality monitoring stations. In this paper we present the ample review of candidate enabling technology for IoT based AQMS architecture. Specifically, we start with overview of major low cost air pollutant sensors classification, typical error sources and calibration methodologies. Then we present analysis and comparative study of infrastructure protocols and application layer protocols to support IoT based architecture for AQMS. We also review existing system and categorised them based on deployment strategy employed. Finally, challenges involved in building such systems are discussed in detail.
机译:人口和城市化的高增长率近年来引起了空气污染问题。空气质量监测由于其对人体健康的影响而成为主要关注问题之一。随着传感技术和嵌入式技术的发展,物联网(IoT)成为实施空气质量监测系统(AQMS)的经济选择之一,与昂贵和固定的空气质量监测站相比。在本文中,我们对基于IoT的AQMS体系结构的候选支持技术进行了全面的回顾。具体来说,我们首先概述主要的低成本空气污染物传感器的分类,典型的误差源和校准方法。然后,我们对基础架构协议和应用层协议进行分析和比较研究,以支持基于IoT的AQMS体系结构。我们还将审查现有系统,并根据所采用的部署策略对它们进行分类。最后,详细讨论了构建此类系统所涉及的挑战。

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