空气雷达:室内空气质量监测的传感平台

Dolvara Gunatilaka, Purinat Sanbundit, Supawit Puengchim, Chayarat Boontham
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引用次数: 0

摘要

快速城市化和工业社会的扩张加剧了空气污染,使人口健康恶化,并影响全球变暖和气候变化。由于人们大部分时间都在室内度过,室内空气质量(IAQ)一直是人们越来越关注的话题。这就需要一种能够持续监测室内空气污染物的系统,从而控制室内空气质量。因此,本文旨在开发一种能够测量、聚合和可视化室内空气质量的物联网系统。我们的室内空气质量感知平台收集了几种常见的空气质量因素,包括颗粒物(PM2.5和PM10)、一氧化碳(CO)、挥发性有机化合物(VOC)、湿度和温度。我们实施了一个网络应用程序,使用户能够获得实时空气质量数据,及时通知用户不健康的环境,并提供改善空气质量的建议。此外,我们校准传感器以提高其准确性,并进行系统性能评估的室内测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AiRadar: A Sensing Platform for Indoor Air Quality Monitoring
Rapid urbanization and the expansion of industrial societies have increased air pollution, which deteriorates the health of a population and impacts global warming and climate change. Indoor air quality (IAQ) has been a topic of growing concern since people spend most of their time indoors. This drives the need for a system that can continuously monitor indoor air pollutants and consequently control indoor air quality. Therefore, this paper aims to develop an IoT-enabled system capable of measuring, aggregating, and visualizing indoor air quality. Our IAQ sensing platform collects several common air quality factors consisting of particulate matter (PM2.5 and PM10), Carbon Monoxide (CO), Volatile Organic Compound (VOC), humidity, and temperature. We implement a web application to enable access to real-time air quality data, to promptly notify users of the unhealthy environment, and to provide recommendations for air quality improvement. Additionally, we calibrate the sensors to enhance their accuracy and conduct an indoor test for system performance assessment.
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