便携式高精度二氧化碳检测仪的研制及湿度干扰消除的研究

周磊; 庞小兵; 吴振涛

doi:10.13205/j.hjgc.202310006

便携式高精度二氧化碳检测仪的研制及湿度干扰消除的研究

doi: 10.13205/j.hjgc.202310006

浙江工业大学环境学院, 杭州 310014

基金项目:

浙江省"领雁"研发攻关计划（2022C03073）；浙江省自然科学基金（LZ20D050002）；绍兴市科技计划项目（2022B41006）

详细信息

作者简介:
周磊(1996-),男,研究生。774149518@qq.com

通讯作者:
庞小兵(1978-),男,教授,博士,主要从事大气环境监测和环境仪器研制研究。pangxb@zjut.edu.cn

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- 被引次数: 0
出版历程
- 收稿日期: 2023-07-21
- 网络出版日期: 2023-12-26

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

College of Environment, Zhejiang University of Technology, Hangzhou 310014, China

摘要

摘要: 二氧化碳（CO₂）的持续增加会加剧温室效应，从而影响人们的正常生活。目前，常见的CO₂监测设备体积大且价格高。因此，基于非分散红外（non-dispersive infrared，NDIR）光学吸收原理的传感器，设计了一种便携式CO₂监测设备。考虑到现场监测时，传感器容易受到相对湿度（relative humidity，RH）的影响。因此，研究了RH对传感器响应的影响，了解传感器在不同RH下的响应特征；并通过浓度和湿度变化的回归方程拟合，得到R²>0.94的二次函数校准公式。通过连续的室外监测与标准参比仪器进行对比发现，校准后的数据与标准参比仪器之间有更好的相关性，R²从校准前的0.62~0.73提高至0.83~0.97。为进一步提高数据的准确性，将传感器进行集群分析，这种方法能够极大程度上削弱因传感器个体差异造成的误差。通过多个传感器数据组合分析发现，平均相对偏差随传感器数量增加而减小，最小平均相对偏差仅为1.4%。
- 二氧化碳(CO₂) /
- 相对湿度干扰 /
- 干扰校准 /
- 传感器集群
Abstract: 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%.
- carbon dioxide (CO₂) /
- relative humidity interference /
- interference calibration /
- sensor cluster

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参考文献(29)

[1]	HARMSEN M, TABAK C, HOGLUND-Isaksson L, et al.Uncertainty in non-CO₂ greenhouse gas mitigation contributes to ambiguity in global climate policy feasibility[J].Nat Commun, 2023, 14(1):2949.
[2]	EBI K L, BOYER C, OGDEN N, et al.Burning embers:synthesis of the health risks of climate change[J].Environmental Research Letters, 2021, 16(4):044042.
[3]	BABENHAUSERHEIDE A, HASE F, MORINO I.Net CO₂ fossil fuel emissions of Tokyo estimated directly from measurements of the Tsukuba TCCON site and radiosondes[J].Atmospheric Measurement Techniques, 2020, 13(5):2697-2710.
[4]	曹丽斌, 李明煜, 张立, 等.长三角城市群CO₂排放达峰影响研究[J].环境工程, 2020, 38(11):33-38 , 59.
[5]	GEMERY P A, TROLIER M, WHITE J W C.Oxygen isotope exchange between carbon dioxide and water following atmospheric sampling using glass flasks[J].Journal of Geophysical Research-Atmospheres, 1996, 101(D9):14415-14420.
[6]	吴振涛, 庞小兵, 韩张亮, 等.二氧化碳捕集、利用与储存技术进展及趋势[J].三峡生态环境监测, 2022, 7(4):12-22.
[7]	GREEN O, FINKELSTEIN P, RIVERO-CRESPO M A, et al.Activity-based approach for selective molecular CO₂ sensing[J].Journal of the American Chemical Society, 2022, 144(19):8717-8724.
[8]	MOROZOV O, TUNAKOVA Y, HUSSEIN S M R H, et al.Addressed combined fiber-optic sensors as key element of multisensor greenhouse gas monitoring systems[J].Sensors, 2022, 22(13):4827.
[9]	ZHENG B, CHEVALLIER F, CIAIS P, et al.Observing carbon dioxide emissions over China's cities and industrial areas with the Orbiting Carbon Observatory-2[J].Atmospheric Chemistry and Physics, 2020, 20(14):8501-8510.
[10]	LEE H, HAN S O, RYOO S B, et al.The measurement of atmospheric CO₂ at KMA GAW regional stations, its characteristics, and comparisons with other East Asian sites[J].Atmospheric Chemistry and Physics, 2019, 19(4):2149-2163.
[11]	LI Z B, MA H L, CAO Z S, et al.High-sensitive off-axis integrated cavity output spectroscopy and its measurement of ambient CO₂ at 2 mu m[J].Acta Physica Sinica, 2016, 65(5):053301.
[12]	XIN F, LI J, GUO J, et al.Measurement of atmospheric CO₂ column concentrations based on open-path TDLAS[J].Sensors, 2021, 21(5):1722.
[13]	郑凯元.腔增强红外气体检测技术与应用[D].吉林:吉林大学, 2021.
[14]	VAFAEI M, AMINI A, SIADATAN A.Breakthrough in CO₂ measurement with a chamberless NDIR optical gas sensor[J].Ieee Transactions on Instrumentation and Measurement, 2020, 69(5):2258-2268.
[15]	TAN X C, ZHANG H, LI J Y, et al.Non-dispersive infrared multi-gas sensing via nanoantenna integrated narrowband detectors[J].Nature Communications, 2020, 11(1):5245.
[16]	JIA X, ROELS J, BAETS R, et al.On-chip non-dispersive infrared CO₂ sensor based on an integrating cylinder[J].Sensors, 2019, 19(19).
[17]	DELSARTE I, COHEN G J V, MOMTBRUN M, et al.Soil carbon dioxide fluxes to atmosphere:the role of rainfall to control CO₂ transport[J].Applied Geochemistry, 2021, 127:104854.
[18]	HUSSAIN H, KIM J, YI S.Characteristics and temperature compensation of non-dispersive infrared (NDIR) alcohol gas sensors according to incident light intensity[J].Sensors, 2018, 18(9):2911.
[19]	TRIEU VUONG D, CHOI I Y, SON Y S, et al.A review on non-dispersive infrared gas sensors:improvement of sensor detection limit and interference correction[J].Sensors and Actuators B-Chemical, 2016, 231:529-538.
[20]	VINCENT T A, GARDNER J W.A low cost MEMS based NDIR system for the monitoring of carbon dioxide in breath analysis at ppm levels[J].Sensors and Actuators B-Chemical, 2016, 236:954-964.
[21]	HAN J H, HAN S W, KIM S M, et al.High detection performance of NDIR CO₂ sensor using stair-tapered reflector[J].IEEE Sensors Journal, 2013, 13(8):3090-3097.
[22]	JIA X, ROELS J, BAETS R, et al.A miniaturised, fully integrated NDIR CO₂ sensor on-chip[J].Sensors, 2021, 21(16):5347.
[23]	ARZOUMANIAN E, VOGEL F R, BASTOS A, et al.Characterization of a commercial lower-cost medium-precision non-dispersive infrared sensor for atmospheric CO₂ monitoring in urban areas[J].Atmospheric Measurement Techniques, 2019, 12(5):2665-2677.
[24]	WU Z T, PANG X B, XING B, et al.Three-dimensional spatiotemporal variability of CO₂ in suburban and urban areas of Shaoxing City in the Yangtze River Delta, China[J].Science of the Total Environment, 2023, 881:163501.
[25]	JOE H E, YUN H, JO S H, et al.A review on optical fiber sensors for environmental monitoring[J].International Journal of Precision Engineering and Manufacturing-Green Technology, 2018, 5(1):173-191.
[26]	K3010, 000 ppm CO₂ Sensor[EB/OL].https://www.CO₂ meter.com/products/k-30-CO₂-sensor-module.2023-6-20.
[27]	PANG X, SHAW M D, GILLOT S, et al.The impacts of water vapour and co-pollutants on the performance of electrochemical gas sensors used for air quality monitoring[J].Sensors and Actuators B-Chemical, 2018, 266:674-684.
[28]	CHATERJEE S, KRUPADAM R J.Amino acid-imprinted polymers as highly selective CO₂ capture materials[J].Environmental Chemistry Letters, 2019, 17(1):465-472.
[29]	SMITH K R, EDWARDS P M, EVANS M J, et al.Clustering approaches to improve the performance of low cost air pollution sensors[J].Faraday Discussions, 2017, 200:621-637.