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Optical solution for particulate distribution estimation

机译:用于颗粒分布估计的光学解

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This paper describes a simple sensor which is designed to sample the air and extract the distribution of particulate it contains. The proposed system employs a normal fiberglass filter, a small video camera and a RaspberryPI to process the image and extract the particulate distribution. The fiberglass filter is capable of stopping particulate down to sizes of 2.5 μm, i.e. what is usually refereed to as PM2.5 particulate and employs a small pump to increase the sensitivity. A motor is used to change the filter interested by the particulate and to restart the measurement. Depending on the amount of particulate in the air, the sampling can be restarted every day or more frequently. The proposed system has been characterized by observing the filter using a field-emission electronic microscope showing that the measured distribution is correct. The overall cost of the proposed system is of less than 100$.
机译:本文介绍了一种简单的传感器,该传感器设计用于对空气进行采样并提取其含有的颗粒的分布。所提出的系统采用正常的玻璃纤维滤波器,小型摄像机和RASPBeryPI来处理图像并提取颗粒分布。玻璃纤维过滤器能够将颗粒降至2.5μm的尺寸,即通常被判定为PM2.5颗粒,采用小型泵以增加灵敏度。电机用于更改颗粒感兴趣的滤波器并重新启动测量。根据空气中的颗粒量,可以每天或更频繁地重新开始采样。所提出的系统已经表征了使用现场发射电子显微镜观察过滤器,显示测量的分布是正确的。拟议系统的总成本低于100美元。

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