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Sensors for indoor air quality monitoring and assessment through Internet of Things: a systematic review
Environmental Monitoring and Assessment ( IF 2.9 ) Pub Date : 2021-01-15 , DOI: 10.1007/s10661-020-08781-6
Jagriti Saini 1 , Maitreyee Dutta 1 , Goncalo Marques 2
Affiliation  

The growing populations around the world are closely associated with rising levels of air pollution. The impact is not restricted to outdoor areas. Moreover, the health of building occupants is also deteriorating due to poor indoor air quality. As per the World Health Organization, indoor air pollution is a leading cause of 1.6 million premature deaths annually. Therefore, numerous companies have started the development of low-cost sensors to monitor indoor air pollution with the Internet of Things–based applications. However, due to the close association of air pollution levels to the mortality and morbidity rates, communities face several limitations while selecting sensors to address this public health challenge. The main contribution of this systematic review is to present a qualitative and quantitative evaluation of low-cost sensors while providing deep insights into the selection criteria for adequate monitoring. The authors in this paper discussed studies published after the year 2015, and it includes an analysis of papers published in the English language only. Moreover, this study highlights crucial research questions, states answers, and provides recommendations for future research studies. The outcomes of this paper will be useful for students, researchers, and industry members concerning the upcoming research and manufacturing activities. The results show that 28 studies (70%) include indoor thermal comfort assessment, 26 (65%) and 12 (30%) studies include CO2 and CO sensors, respectively. In total, 32 (45.7%) out of 71 sensors (whose prices are available) discussed in this study are available in a price below the US $20 over online marketplaces. Furthermore, the authors conclude that 77.5% of the analyzed literature does not include calibration details, and the accuracy specification is missing for 39.4% sensors.



中文翻译:

通过物联网监测和评估室内空气质量的传感器:系统评价

世界各地不断增长的人口与不断上升的空气污染密切相关。影响不仅限于室外区域。此外,由于室内空气质量差,建筑物居住者的健康状况也在恶化。根据世界卫生组织的数据,室内空气污染是每年导致 160 万人过早死亡的主要原因。因此,许多公司已开始开发低成本传感器,以利用基于物联网的应用程序监测室内空气污染。然而,由于空气污染水平与死亡率和发病率密切相关,社区在选择传感器来应对这一公共卫生挑战时面临着一些限制。本系统评价的主要贡献是对低成本传感器进行定性和定量评估,同时提供对充分监测的选择标准的深入见解。本文的作者讨论了 2015 年之后发表的研究,其中包括对仅以英语发表的论文的分析。此外,这项研究突出了关键的研究问题,陈述了答案,并为未来的研究提供了建议。本文的成果将有助于学生、研究人员和行业成员了解即将进行的研究和制造活动。结果显示,28 项研究 (70%) 包括室内热舒适性评估,26 项 (65%) 和 12 项 (30%) 研究包括 CO 本文的作者讨论了 2015 年之后发表的研究,其中包括对仅以英语发表的论文的分析。此外,这项研究突出了关键的研究问题,陈述了答案,并为未来的研究提供了建议。本文的成果将有助于学生、研究人员和行业成员了解即将进行的研究和制造活动。结果显示,28 项研究 (70%) 包括室内热舒适性评估,26 项 (65%) 和 12 项 (30%) 研究包括 CO 本文的作者讨论了 2015 年之后发表的研究,其中包括对仅以英语发表的论文的分析。此外,这项研究突出了关键的研究问题,陈述了答案,并为未来的研究提供了建议。本文的成果将有助于学生、研究人员和行业成员了解即将进行的研究和制造活动。结果显示,28 项研究 (70%) 包括室内热舒适性评估,26 项 (65%) 和 12 项 (30%) 研究包括 CO 本文的成果将有助于学生、研究人员和行业成员了解即将进行的研究和制造活动。结果显示,28 项研究 (70%) 包括室内热舒适性评估,26 项 (65%) 和 12 项 (30%) 研究包括 CO 本文的成果将有助于学生、研究人员和行业成员了解即将进行的研究和制造活动。结果显示,28 项研究 (70%) 包括室内热舒适性评估,26 项 (65%) 和 12 项 (30%) 研究包括 CO2和 CO 传感器。总的来说,本研究中讨论的 71 个传感器(其价格可用)中有 32 个(45.7%)在在线市场上的价格低于 20 美元。此外,作者得出结论,77.5% 的分析文献不包括校准细节,39.4% 的传感器缺少准确度规范。

更新日期:2021-01-15
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