差分吸收光谱检测H2S气体的反演算法

Inversion algorithms for detecting HS gas concentration by Differential Optical Absorption Spectroscopy

传统差分吸收光谱法(DOAS)对于H2S气体浓度检测原理简单,检测精准,反应速度较快,但在低浓度、光程较短的环境中会产生较大的误差。本文在传统的差分吸收算法的基础上,采用遗传算法对低浓度H2S气体进行反演,但遗传算法容易发生过早收敛,从而陷入局部最优,因此设计了灾变优化后的遗传算法对H2S气体浓度进行反演。结果表明,该方法对低浓度H2S气体有较高的测量精确度,与传统的差分吸收光谱法结合可得到更宽的检测范围。

The traditional Differential Optical Absorption Spectroscopy(DOAS) method which is accurate and fast, has simple detection principle for H2S gas concentration. However, big errors occur in environments with low concentrations and short optical paths. In this paper, inversion of low concentration H2S gas is executed by using genetic algorithm based on traditional differential absorption algorithm. But the genetic algorithm is prone to premature convergence and thus falls into local optimum. The genetic algorithm after disaster optimization is designed to invert the H2S gas concentration. The results show that the method has high measurement accuracy for low concentration H2S gas, and combines with traditional differential absorption spectroscopy to obtain a wider detection range.