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Poster abstract: PiMi air community: Getting fresher indoor air by sharing data and know-hows

机译:海报摘要:Pimi Air Community:通过分享数据和专业知识来获取Fresher室内空气

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摘要

PiMiair.org is a participatory indoor air quality data sharing project we launched in January 2014. Over 200 PiMi air boxes, a low-cost indoor air quality monitor, were given out to volunteer users across China. The PiMi air boxes measure the approximate indoor particulate matter concentration, and the ambient temperate and humidity. When a user accesses the PiMi air box for his personal air quality data on his smartphone, the data is relayed to the backend PiMi cloud server for analysis. Accumulating large amount of indoor air quality data under different circumstances, the PiMi cloud server is able to use statistical learning methodologies to detect point of interests (POIs) in the data series, and asks users to label their activities or events at the POIs. Together with the user-reported physicality information on the indoor environments, PiMiair.org is able to quantitatively evaluate the impacts of the environment physicality and human behaviors on the indoor air quality, and mine the knowledges on how to alleviate indoor air pollution. We believe that by sharing these knowledge among the community, healthier breathing environments could be nurtured for the well-being of the public.
机译:Pimiair.org是一项参与式室内空气质量数据共享项目,我们于2014年1月推出。超过200个Pimi Air箱,一个低成本的室内空气质量显示器,遍布中国志愿者用户。 Pimi Air盒测量近似室内颗粒物质浓度,以及环境温度和湿度。当用户访问PIMI AIR箱以获取他的智能手机上的个人空气质量数据时,数据将转发到后端PIMI云服务器进行分析。在不同情况下累积大量的室内空气质量数据,PIMI云服务器能够使用统计学习方法来检测数据系列中的兴趣点(POI),并要求用户在POI上标记他们的活动或事件。 Pimiair.org与用户报告的用户报告的物理性信息一起,能够定量评估环境物理性和人类行为对室内空气质量的影响,并挖掘如何缓解室内空气污染。我们认为,通过在社区中分享这些知识,可以为公众的福祉培养更健康的呼吸环境。

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