Du Zijian, Tsow Francis, Wang Di, Tao Nongjian
School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85287 USA.
Department of Electrical Engineering, Arizona State University, Tempe, AZ 85287 USA (
IEEE Sens J. 2018 Sep 15;18(18):7421-7428. doi: 10.1109/JSEN.2018.2861700. Epub 2018 Jul 31.
A miniaturized particulate matter (PM) sensing platform was developed. The platform uses a CMOS imager as sensor, electrostatic particle collector to collect ambient PM on an imaging substrate, and a laser diode as light source to scatter light from the particles. Image processing based PM sensing algorithm was developed to obtain particle number, size and size distribution in real time. The system is compact, power efficient, and low cost. The PM sensing platform is suitable for personal PM exposure monitoring with applications in environmental health, occupational and epidemiological studies.
开发了一种小型化颗粒物(PM)传感平台。该平台使用CMOS成像器作为传感器,静电粒子收集器将环境中的颗粒物收集到成像基板上,并使用激光二极管作为光源来散射来自颗粒物的光。开发了基于图像处理的PM传感算法,以实时获取颗粒数量、尺寸和尺寸分布。该系统紧凑、节能且成本低。该PM传感平台适用于个人PM暴露监测,可应用于环境卫生、职业和流行病学研究。