Paper
31 July 2023 Development of an optical particle counter for high particle number concentration
Quan Zhou, Liang Chen, Liuyong Chang, Chenglin Zhang, Guangze Li, Yuanhao Li
Author Affiliations +
Proceedings Volume 12747, Third International Conference on Optics and Image Processing (ICOIP 2023); 127470P (2023) https://doi.org/10.1117/12.2689147
Event: Third International Conference on Optics and Image Processing (ICOIP 2023), 2023, Hangzhou, China
Abstract
The upper limit of the particle concentration that current optical particle counters (OPC) can detect is generally lower than 100 P/cm3 , while the particle concentration in industry gas is usually on the order of 104 P/cm3 . In the present study, the reasons that the current OPC is limited for high particle concentration were analyzed, and a new high-concentration optical particle counter was developed. The reasons for the low detection limit of the current OPC are as follows: (1) the thickness of the laser is on the order of millimeters; (2) the current signal processing method by detecting the rising edge is sensitive to coverage loss. Based on this, the thickness of the sheet laser was reduced by optimizing the beam shaping components, and the coverage loss of traditional signal processing methods was overcome by counting the pulse peaks. After developing the new OPC, it was used to detect particles with different concentration, and the detecting results were compared with the counting results of a commercial condensation particle counter. The comparison results showed that the developed OPC can accurately detect the particles with the concentration lower than 12000 P/cm3 .
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Quan Zhou, Liang Chen, Liuyong Chang, Chenglin Zhang, Guangze Li, and Yuanhao Li "Development of an optical particle counter for high particle number concentration", Proc. SPIE 12747, Third International Conference on Optics and Image Processing (ICOIP 2023), 127470P (31 July 2023); https://doi.org/10.1117/12.2689147
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KEYWORDS
Particles

Atmospheric particles

Signal attenuation

Signal processing

Detection and tracking algorithms

Pulse signals

Incident light

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