Mr. Rongrui Zhang Profile

Rongrui Zhang

at Xi'an Univ of Technology

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Proceedings Article | 31 August 2021 Paper

Real-time detection of atmospheric fine particle mass concentration based on laser forward small angle scattering

Heng Zhao, Rongrui Zhang

Proceedings Volume 11907, 119072O (2021) https://doi.org/10.1117/12.2603157

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The level of fine particulate air pollution exposure is positively correlated with the death rate of individuals infected with COVID-19. Monitoring is the first step to prevent fine particulate pollution. The instrument based on light scattering method to detect particle concentration has unparalleled advantages over other instruments due to its rapidity, real-time and low cost. Traditional light scattering instruments are limited by the light absorption and particle properties of particles, and their ability to monitor some particles with strong light absorption is greatly reduced. Moreover, when the measured environment is greatly different from the calibration environment, the measurement results often have large errors. In this research, an instrument is designed to detect the forward scattering of light from small angles of particles. It can monitor the number concentration of particles in the environment in real time in four particle size ranges (PM1, PM2.5, PM4 and PM10) and convert it into the mass concentration of particles. By using the simulated atmospheric smoke box and the standard instrument to conduct a field comparison experiment, the reliability and stability of the measurement results are verified.

Proceedings Article | 31 August 2021 Paper

Extraction of forward small angle particle scattering light pulse signal based on variable forgetting factor RLS algorithm

Rongrui Zhang, Heng Zhao

Proceedings Volume 11907, 119072L (2021) https://doi.org/10.1117/12.2603148

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Small angle light scattering measurement is more relevant for determining the size of solid aerosols, but small scattering angle measurement results will be interfered by larger stray light. The key technology is to suppress the background noise caused by the Fraunhofer diffraction of the laser light source and the Rayleigh scattering of atmospheric molecules, so as to improve the resolution of weak scattered light signal of strong light absorption small particle aerosol. An adaptive filtering method of forward small angle aerosol scattering signal is proposed based on recursive least-square (RLS) algorithm. By analyzing the characteristics of small-angle aerosol detection signals, the forgetting factor in traditional RLS is optimized, so that it can not only distinguish aerosol scattered light signals from stray light signals, but also dynamically adjust according to the amplitude change under different particle size and absorbance. In order to verify the filtering effect, small angle scattering light pulse extraction experiments of aerosols with different absorbance and different particle sizes were conducted in a simulated smoke box. Experiments show that the proposed variable forgetting factor RLS algorithm can effectively suppress stray light signals caused by laser light sources and atmospheric molecules. When the aerosol detection signal appears, the algorithm has fast convergence speed and tracking speed, which highlights the aerosol pulse signal well. Compared with the traditional method, the resolution of the processed aerosol scattering pulse signal increases dramatically and has a great advantage in the extraction of weak scattering pulse signal.

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