Source Journal of CSCD
Source Journal for Chinese Scientific and Technical Papers
Core Journal of RCCSE
Included in JST China
Volume 41 Issue 10
Oct.  2023
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ZHOU Lei, PANG Xiaobing, WU Zhentao. DEVELOPMENT OF A PORTABLE HIGH PRECISION CARBON DIOXIDE DETECTOR AND ELIMINATION OF HUMIDITY INTERFERENCE[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(10): 37-44. doi: 10.13205/j.hjgc.202310006
Citation: ZHOU Lei, PANG Xiaobing, WU Zhentao. DEVELOPMENT OF A PORTABLE HIGH PRECISION CARBON DIOXIDE DETECTOR AND ELIMINATION OF HUMIDITY INTERFERENCE[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(10): 37-44. doi: 10.13205/j.hjgc.202310006

DEVELOPMENT OF A PORTABLE HIGH PRECISION CARBON DIOXIDE DETECTOR AND ELIMINATION OF HUMIDITY INTERFERENCE

doi: 10.13205/j.hjgc.202310006
  • Received Date: 2023-07-21
    Available Online: 2023-12-26
  • Increasing carbon dioxide (CO2) exacerbated the greenhouse effect, which threatened human normal lives. Currently, the equipment used for CO2 monitoring is heavy and expensive. Therefore, the study designed a portable CO2 detector based on non-dispersive infrared (NDIR) optical absorption principles. Considering on-site monitoring, the sensor was susceptible to the interference of relative humidity (RH). Therefore, the effect of RH on the response of the sensor was studied, and the response characteristics of the sensor at different RH levels were understood. Through the combination of concentration and humidity changes, the correlation (R2) of the secondary function of the correlation was above 0.94. Through continuous outdoor monitoring and comparison with the standard reference instruments, it was found that there was a better correlation between the calibrated data and the standard reference instrument, with R2 increasing from 0.62 to 0.73 before calibration, to 0.83 to 0.97. The cluster analysis of sensors can greatly reduce the error caused by individual differences in sensors, thus improving the accuracy of data. It was found that through analysis of multiple sensor data combinations, the average relative deviation decreased with the increase in the number of sensors, and the minimum average relative deviation was only 1.4%.
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