The performance study of an odor gas monitor

Junchen Zou; Xiaoquan Sun; Yanzhao Wang; Xinyuan Cui; Yongqiang Chen; Ling Yang; Zhifeng He; Dan Yuan; Yuan Mu

doi:10.1117/12.3035487

16 August 2024 The performance study of an odor gas monitor

Junchen Zou, Xiaoquan Sun, Yanzhao Wang, Xinyuan Cui, Yongqiang Chen, Ling Yang, Zhifeng He, Dan Yuan, Yuan Mu

Proceedings Volume 13230, Third International Conference on Machine Vision, Automatic Identification, and Detection (MVAID 2024); 1323026 (2024) https://doi.org/10.1117/12.3035487
Event: Third International Conference on Machine Vision, Automatic Identification and Detection, 2024, Kunming, China

Abstract

Odor pollution has become a global environmental issue of increasing concern in recent years, and the odor gas monitor is widely used to measure the odor concentration, however, whether its value is still accurate and reliable after long-term use is unknown. In this work, the electrochemical odor monitor was chose and its performance and uncertainty were estimated. The result showed that the maximum absolute value of indication error of 8 standard gases was 9.17%, and other performance indicators such as zero shift, scale shift, response time and repeatability of the odor monitor were not more than 1.30%, 1.25%, 91s and 0.70% respectively. Moreover, when the concentrations of CH4S was 16.00 μmol/mol, the uncertainty was 0.34 μmol/mol. In a summary, the performance indicators and uncertainty of the monitor were excellent, and it need to keep the good status by means of calibrating periodically, and that could play an important role in preventing odor pollution.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Junchen Zou, Xiaoquan Sun, Yanzhao Wang, Xinyuan Cui, Yongqiang Chen, Ling Yang, Zhifeng He, Dan Yuan, and Yuan Mu "The performance study of an odor gas monitor", Proc. SPIE 13230, Third International Conference on Machine Vision, Automatic Identification, and Detection (MVAID 2024), 1323026 (16 August 2024); https://doi.org/10.1117/12.3035487

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KEYWORDS

Environmental monitoring

Calibration

Gases

Measurement uncertainty

Pollution

Equipment

Uncertainty analysis

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