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Proceedings Paper

Design and signal processing of a sector SSPA for PM2.5 monitoring
Author(s): Kaihua Wu; Li Ma; Miao Guo; Peng Jiang
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Paper Abstract

PM2.5 is the chief air pollutants in most Chinese City. The PM2.5 parameter was usually evaluated by the weight per unit volume (mg/m3) and the size was generally ignored. A method measuring the particle size distribution of PM2.5 based on light scattering was put forward. A special sector sensor, SSPA(Self Scanning Photodiode Array), was designed to detect the distribution of weak space light energy. We researched a special optoelectronic detector with sector detection area. The sensor has high sensitivity and high reliability. It's suitable for detecting the distribution of space light energy, especially the diffraction and scattering energy distribution. The paper researched the signal processing method. Based on the principle and characteristics of SSPA, a signal acquisition and processing method controlled by computer was introduced. The amplification of weak signal, the matching of time sequence, the fast peak holding with low leakage, the high speed A/D conversion and nonlinear correction were discussed. The method can acquire the peak signal of every ring of sector SSPA with high accuracy and in real time. The particle size distribution of PM2.5 acquired in Hangzhou City was analyzed. Results showed that the particles with diameter below 2.5um were above 90%.

Paper Details

Date Published: 24 January 2008
PDF: 4 pages
Proc. SPIE 6829, Advanced Materials and Devices for Sensing and Imaging III, 68291U (24 January 2008); doi: 10.1117/12.757613
Show Author Affiliations
Kaihua Wu, Hangzhou Dianzi Univ. (China)
Li Ma, Hangzhou Dianzi Univ. (China)
Miao Guo, Hangzhou Dianzi Univ. (China)
Peng Jiang, Hangzhou Dianzi Univ. (China)


Published in SPIE Proceedings Vol. 6829:
Advanced Materials and Devices for Sensing and Imaging III
Anbo Wang; Yimo Zhang; Yukihiro Ishii, Editor(s)

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