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通过物联网进行室内空气质量监测和评估的传感器:系统评价。

Sensors for indoor air quality monitoring and assessment through Internet of Things: a systematic review.

机构信息

National Institute of Technical Teacher's Training and Research, Chandigarh, 160019, India.

Polytechnic of Coimbra, ESTGOH, 3400-124, Oliveira do Hospital, Portugal.

出版信息

Environ Monit Assess. 2021 Jan 15;193(2):66. doi: 10.1007/s10661-020-08781-6.

DOI:10.1007/s10661-020-08781-6
PMID:33452599
Abstract

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 CO 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.

摘要

世界人口的增长与空气污染水平的上升密切相关。其影响不仅局限于室外区域。此外,由于室内空气质量差,建筑居住者的健康状况也在恶化。世界卫生组织表示,室内空气污染每年导致 160 万人过早死亡,是主要原因之一。因此,许多公司已经开始开发低成本传感器,通过物联网应用来监测室内空气污染。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健康挑战时面临着诸多限制。本系统评价的主要贡献在于对低成本传感器进行定性和定量评估,同时深入探讨了适当监测的选择标准。本文作者讨论了 2015 年后发表的研究,并分析了仅以英语发表的论文。此外,本研究强调了关键的研究问题、答案,并为未来的研究提供了建议。对于即将开展的研究和制造活动,本文的研究结果将对学生、研究人员和行业成员有用。结果表明,28 项研究(70%)包括室内热舒适度评估,26 项(65%)和 12 项(30%)研究分别包括 CO 和 CO2 传感器。在总共 71 个传感器(其价格可查)中,有 32 个(45.7%)的价格低于在线市场的 20 美元。此外,作者得出结论,分析文献中有 77.5%未包含校准细节,39.4%的传感器缺少精度规格。

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