Optical Physical Parameters of Fine Particulate Matter Based on Light Scattering Method

IF 0.6 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Peng Xie, Juntong Liu, Kechao Chen
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引用次数: 0

Abstract

Following the Internet, the Internet of Things (IoT) has become another revolutionary technology in recent years. In recent years, Internet of Things technology has been applied to various industries such as agricultural production, intelligent transportation and industrial production, including the wireless system network under the Internet of Things technology. The problem of particulate matter pollution has become more and more concerned. However, how to quickly and accurately detect particulate matter concentration has become a research hotspot. The traditional filter membrane weighing method and ray absorption method have many limitations, which cannot meet the requirements of fast and accurate. The measurement of particle mass concentration by light scattering method is a non-contact detection method of particle mass concentration. In this paper, light scattering methods are combined with the theory of IoT wireless systems to discuss the photophysical parameters of tiny particles, such as particle size and density. This paper mainly studies the formation mechanism, particle detection principle and numerical simulation, and the data intelligent analysis of the optical and physical parameters of the particles. The particle size distribution, average particle size and density were obtained by CCD photosensor experiment. The experimental results show that the optical parameters of different particle sizes are accurate and reliable.
基于光散射法的细颗粒物光学物理参数
继互联网之后,物联网(IoT)近年来成为另一项革命性的技术。近年来,物联网技术已应用于农业生产、智能交通、工业生产等各个行业,包括物联网技术下的无线系统网络。颗粒物污染问题越来越受到人们的关注。然而,如何快速准确地检测颗粒物浓度已成为研究热点。传统的过滤膜称重法和射线吸收法存在许多局限性,不能满足快速、准确的要求。光散射法测量粒子质量浓度是一种非接触的粒子质量浓度检测方法。本文将光散射方法与物联网无线系统理论相结合,讨论微小颗粒的光物理参数,如粒径和密度。本文主要研究了粒子的形成机理、粒子检测原理和数值模拟,以及粒子光学和物理参数的数据智能分析。通过CCD光敏实验获得了样品的粒径分布、平均粒径和密度。实验结果表明,不同粒径的光学参数准确可靠。
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来源期刊
Journal of Nanoelectronics and Optoelectronics
Journal of Nanoelectronics and Optoelectronics 工程技术-工程:电子与电气
自引率
16.70%
发文量
48
审稿时长
12.5 months
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