HazeWatch:用于监测悉尼空气污染的参与式传感器系统

V. Sivaraman, James Carrapetta, Ke Hu, Blanca Gallego Luxan
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引用次数: 75

摘要

本文描述了我们在悉尼建立和部署一个低成本的参与式城市空气污染监测系统的经验。虽然空气污染给全球城市社区带来了巨大的健康成本,但今天公布的污染浓度数据在空间上过于稀疏,无法对(可能流动的)个人的暴露情况进行足够准确的估计,从而做出医学推论。论文中描述的HazeWatch项目使用安装在车辆上的几个低成本移动传感器单元来测量空气污染浓度,用户的手机可以实时标记和上传数据。这样收集到的更大的空间粒度数据可以创建悉尼大都市的污染地图,可以在网络上实时查看,以及个性化的应用程序,显示个人的暴露历史,并允许路线规划,以减少未来的暴露。我们分享了我们在悉尼建立和试验这样一个系统时获得的见解,并强调了可以由世界各地开发类似系统的团体合作解决的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HazeWatch: A participatory sensor system for monitoring air pollution in Sydney
This paper describes our experiences with building and deploying a low-cost participatory system for urban air pollution monitoring in Sydney. Though air pollution imposes significant health costs on the urban community globally, today's published data on pollution concentrations is spatially too sparse, and does not allow for sufficiently accurate estimation of exposures for (potentially mobile) individuals in order to make medical inferences. The HazeWatch project described in this paper uses several low-cost mobile sensor units attached to vehicles to measure air pollution concentrations, and users' mobile phones to tag and upload the data in real time. The greater spatial granularity of data thus collected enables creation of pollution maps of metropolitan Sydney viewable in real-time over the web, as well as personalized apps that show the individual's exposure history and allow for route planning to reduce future exposure. We share the insights we obtained from building and trialling such a system in Sydney, and highlight challenges that can be addressed collaboratively by groups developing similar systems world-wide.
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