基于低成本非分光红外传感器的环境一氧化碳测量评估与环境校正
Evaluation and environmental correction of ambient CO measurements from a low-cost NDIR sensor.
作者信息
Martin Cory R, Zeng Ning, Karion Anna, Dickerson Russell R, Ren Xinrong, Turpie Bari N, Weber Kristy J
机构信息
Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD 20742, USA.
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20742, USA.
出版信息
Atmos Meas Tech. 2017;10. doi: 10.5194/amt-10-2383-2017.
Non-dispersive infrared (NDIR) sensors are a low-cost way to observe carbon dioxide concentrations in air, but their specified accuracy and precision are not sufficient for some scientific applications. An initial evaluation of six SenseAir K30 carbon dioxide NDIR sensors in a lab setting showed that without any calibration or correction, the sensors have an individual root mean square error (RMSE) between ~5 and 21 parts per million (ppm) compared to a research-grade greenhouse gas analyzer using cavity enhanced laser absorption spectroscopy. Through further evaluation, after correcting for environmental variables with coefficients determined through a multivariate linear regression analysis, the calculated difference between the each of six individual K30 NDIR sensors and the higher-precision instrument had an RMSE of between 1.7 and 4.3 ppm for 1 min data. The median RMSE improved from 9.6 for off-the-shelf sensors to 1.9 ppm after correction and calibration, demonstrating the potential to provide useful information for ambient air monitoring.
非色散红外（NDIR）传感器是一种观测空气中二氧化碳浓度的低成本方式，但它们规定的准确度和精密度对于某些科学应用而言并不足够。在实验室环境中对六个SenseAir K30二氧化碳NDIR传感器进行的初步评估表明，与使用腔增强激光吸收光谱的研究级温室气体分析仪相比，在没有任何校准或校正的情况下，这些传感器的个体均方根误差（RMSE）在约5至21百万分率（ppm）之间。通过进一步评估，在用多变量线性回归分析确定的系数校正环境变量之后，六个单独的K30 NDIR传感器中每个与高精度仪器之间的计算差值对于1分钟数据的RMSE在1.7至4.3 ppm之间。经校正和校准后，均方根误差的中位数从现成传感器的9.6改善至1.9 ppm，这表明其有潜力为环境空气监测提供有用信息。
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