Demo Abstract: IASA - Indoor Air Quality Sensing and Automation

Kyeong T. Min, Philip Lundrigan, Neal Patwari
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引用次数: 3

Abstract

Using an air purifying system can remove indoor air pollutants, but because it increases electric power utilization, results in broader increases in air pollution. To explore the tradeoff between energy consumption and healthful air, we demonstrate the indoor air sensing and automation (IASA) system, an internet-of-things system. The IASA system uses an air quality sensor, gateway device, and smart thermostat to control the fan in a home’s heating and cooling system. When fine particulate matter is high, the system operates the fan to pull air through a furnace filter and remove the pollution from the indoor air. We describe our system design, deployment, and collected data. To date, we have collected 861,000 air quality measurements with IASA.
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摘要:室内空气质量传感与自动化
使用空气净化系统可以去除室内空气污染物,但由于它增加了电力的使用,导致空气污染的广泛增加。为了探索能源消耗和健康空气之间的权衡,我们展示了室内空气传感和自动化(IASA)系统,一个物联网系统。IASA系统使用空气质量传感器、网关设备和智能恒温器来控制家庭供暖和制冷系统中的风扇。当细颗粒物含量高时,系统运行风扇将空气拉过炉膛过滤器,去除室内空气中的污染。我们描述了我们的系统设计、部署和收集的数据。到目前为止,我们已经通过国际空气标准局收集了86.1万份空气质量测量数据。
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