A Distributed Low-Cost Pollution Monitoring Platform
A Distributed Low-Cost Pollution Monitoring Platform
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DOI：
10.1109/jiot.2019.2941374
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发表时间：
2019-12-01
影响因子：
10.6
通讯作者：
Gaillardon, Pierre-Emmanuel
中科院分区：
文献类型：
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作者：
Becnel, Thomas;Tingey, Kyle;Gaillardon, Pierre-Emmanuel
个人暴露于高水平的空气中细颗粒物（PM）与敏感群体的许多不良健康影响有关。然而，研究这些相关性的研究人员正在努力寻找足够用于研究的时空数据集。目前的空气中PM监测解决方案非常准确，但价格昂贵。因此，它们不是空间密集部署的可行候选者，并且不能用于分析暴露于污染小气候的影响。在这篇文章中，我们提出了一个低成本的污染监测站，作为一个单一的节点在无线网络中。每个节点定期收集空气污染和辅助气象数据，并将测量结果上传到中央开放源数据库。在为期六个月的活动中，在一个大都市区（约100 km（2））共部署了50个节点。实验结果表明，与联邦等效方法共置的设备之间具有良好的相关性（R-2 = 0.88），其精度可追溯到美国国家标准与技术研究所。通过将来自现场测量的线性校正应用于每个PM传感器，我们能够证明原始测量的均方根误差降低了1.8倍。
Personal exposure to heightened levels of fine airborne particulate matter (PM) has been linked to numerous adverse health effects in sensitive groups. However, researchers investigating these correlations are struggling to find the spatio-temporal datasets that are sufficient for study. Current airborne PM monitoring solutions are highly accurate, but expensive. Therefore, they are not feasible candidates for spatially dense deployments, and cannot be used to analyze the effects of exposure to pollution microclimates. In this article, we present a low-cost pollution monitoring station that operates as a single node in a wireless network. Each node periodically collects airborne pollution and supporting meteorological data and uploads measurements to a central, open-source database. A total of 50 nodes were deployed across a large metropolitan area (roughly 100 km(2)) over a six-month campaign. The experimental results show good correlation (R-2 = 0.88) between devices co-located with the federal equivalent methods, which have an accuracy traceable to the National Institute of Standards and Technology. By applying linear corrections derived from in situ field measurements to each PM sensor, we were able to demonstrate a 1.8x decrease in root-mean-squared error over the raw measurements.