Design of non-dispersion infrared detectors data processor on measurement of automobile emission CO and CO2

Guohua Liu; Yujun Zhang; Chen Chen; Yibing Lu; Chungui He; Yanwei Gao; Kun You; Ying He; Kai Zhang; Wenqing Liu

doi:10.1117/12.2247216

1 November 2016 Design of non-dispersion Infrared detector's data processor on measurement of automobile emission CO and CO₂

Guohua Liu, Yujun Zhang, Chen Chen, Yibing Lu, Chungui He, Yanwei Gao, Kun You, Ying He, Kai Zhang, Wenqing Liu

Author Affiliations +

Proceedings Volume 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control; 101572Z (2016) https://doi.org/10.1117/12.2247216
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China

Abstract

For the technical requirements of automobile emission CO and CO₂ detector’s data processor, the scheme is based on the detection principle of NDIR method and the implementation of the data processor software as well as hardware is discussed. High-speed, high-precision DSP is selected as the core of the detector’s data acquisition and processing, while four-channel thermoelectricity sensor TPS4339 as infrared detector, digital-analog data acquisition circuit of NDIR is designed and simulated. Then Fast Fourier Transform (FFT) is adopted for signal processing. Automobile emission CO and CO₂ concentration can be accurately obtained by appropriately adjusting sampling period and the light source modulation frequencies, the system SNR is improved and the detection limit is reduced. The experimental results show that the detector’s data processor has 3% accuracy and stability which can meet the measurement and analysis of automobile emission CO and CO₂ concentration.

Citation Download Citation

Guohua Liu, Yujun Zhang, Chen Chen, Yibing Lu, Chungui He, Yanwei Gao, Kun You, Ying He, Kai Zhang, and Wenqing Liu "Design of non-dispersion Infrared detector's data processor on measurement of automobile emission CO and CO₂", Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101572Z (1 November 2016); https://doi.org/10.1117/12.2247216

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