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Stack emission monitoring using non-dispersive infrared spectroscopy with an optimized nonlinear absorption cross interference correction algorithm

机译:使用非分散红外光谱和优化的非线性吸收交叉干扰校正算法监测烟囱排放

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摘要

In this paper, we present an optimized analysis algorithmfor non-dispersive infrared (NDIR) to in situ monitor stack emissions. Theproposed algorithm simultaneously compensates for nonlinear absorption andcross interference among different gases. We present a mathematicalderivation for the measurement error caused by variations in interferencecoefficients when nonlinear absorption occurs. The proposed algorithm isderived from a classical one and uses interference functions to quantifycross interference. The interference functions vary proportionally with thenonlinear absorption. Thus, interference coefficients among different gasescan be modeled by the interference functions whether gases are characterizedby linear or nonlinear absorption. In this study, the simultaneous analysisof two components (CO and CO) serves as an example for the validationof the proposed algorithm. The interference functions in this case can beobtained by least-squares fitting with third-order polynomials. Experimentsshow that the results of cross interference correction are improvedsignificantly by utilizing the fitted interference functions when nonlinearabsorptions occur. The dynamic measurement ranges of CO and CO areimproved by about a factor of 1.8 and 3.5, respectively. A commercialanalyzer with high accuracy was used to validate the CO and COmeasurements derived from the NDIR analyzer prototype in which the newalgorithm was embedded. The comparison of the two analyzers show that theprototype works well both within the linear and nonlinear ranges.
机译:在本文中,我们提出了一种用于非分散红外(NDIR)的优化分析算法,以现场监测烟囱排放。该算法同时补偿了不同气体之间的非线性吸收和交叉干扰。当非线性吸收发生时,由干扰系数变化引起的测量误差,我们给出了数学推导。该算法是从经典算法推导而来的,并使用干扰函数来量化交叉干扰。干涉函数与非线性吸收成比例地变化。因此,无论气体是线性吸收还是非线性吸收,都可以通过干扰函数来模拟不同气体之间的干扰系数。在这项研究中,同时分析两个成分(CO和CO)可作为验证所提出算法的一个示例。这种情况下的干涉函数可以通过与三阶多项式的最小二乘拟合获得。实验表明,当发生非线性吸收时,利用拟合的干涉函数可以显着改善交叉干涉校正的结果。 CO和CO的动态测量范围分别提高了约1.8和3.5倍。使用高精度的商业分析仪来验证源自嵌入了新算法的NDIR分析仪原型的CO和CO测量。两种分析仪的比较表明,该原型在线性和非线性范围内均能很好地工作。

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