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Indoor Household Particulate Matter Measurements Using a Network of Low-cost Sensors

机译:使用低成本传感器网络的室内家用颗粒物质测量

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The World Health Organization estimates that 4.3 million deaths globally in 2012 were attributable to household air pollution, of which particulate matter (PM) with a diameter of 2.5 mu m or less (PM2.5) is a significant contributor. When integrated with a wireless network, low-cost PM measurements potentially provide personalized information on indoor concentrations in real time so that individuals can take action. The objectives of this study were to (1) deploy a network of research-grade instruments and low-cost sensors in a home environment and evaluate the performance, (2) characterize activities and conditions that increase PM concentrations, and (3) identify how these activities affect the PM levels in different rooms of a home. The wireless sensor network included low-cost PM sensors, a gateway, and a database for storing data. Based on the commercially available Dylos DC1100 Pro (Utah Modified Dylos Sensor) and Plantower PMS sensor (AirU), the low-cost sensors were compared to three research-grade instruments-the GRIMM, DustTrak, and MiniVol-in two households in Salt Lake City during summer and winter, with the results suggesting that the low-cost sensors agreed well with the DustTrak. Of the activities, frying food and spraying aerosol products generated the largest increase in PM, both in the room of the activity (the kitchen and bedroom, respectively) and the adjacent rooms. High outdoor PM concentrations during a cold air pool episode also caused indoor levels to rise. In addition, different PM sources triggered different sensor responses. Consequently, obtaining accurate estimates of the mass concentration in an indoor environment, with its wide variety of PM sources, is challenging. However, low-cost PM sensors can be incorporated into an indoor air-quality measurement network to help individuals manage their personal exposure.
机译:世界卫生组织估计2012年全球430万人死于家庭空气污染,其中颗粒物(PM)直径为2.5亩或较低(PM2.5)是一项重要的贡献者。当与无线网络集成时,低成本PM测量可能会实时提供有关室内浓度的个性化信息,以便个人可以采取行动。本研究的目标是(1)在家庭环境中部署研究级乐器和低成本传感器网络,并评估性能,(2)表征增加PM浓度的活动和条件,(3)识别如何这些活动影响了家庭不同房间的PM水平。无线传感器网络包括低成本PM传感器,网关和用于存储数据的数据库。基于市售的Dylos DC1100 Pro(犹他州改装Dylos传感器)和Plantower PMS传感器(Airu),低成本传感器与三个研究级仪器 - Grimm,DustTrak和Minivol - 在盐湖中的两户夏季和冬季的城市,结果表明低成本的传感器与尘土柴达克同意。活动,煎炸食品和喷涂气溶胶产品产生最大的PM增加,无论是在活动的房间里(分别为厨房和卧室)和邻近的房间。在冷空气池中的高室外PM浓度也引起室内水平升高。此外,不同的PM源触发了不同的传感器响应。因此,获得室内环境中的质量浓度的准确估计,具有各种PM来源,具有挑战性。然而,低成本的PM传感器可以合并到室内空气质量测量网络中,以帮助个人管理他们的个人曝光。

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