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传统的差分吸收光谱(DOAS)算法对于短光程、低浓度的气体测量存在较大的误差。为了提高测量精度,将基于差分吸收光谱技术的浓度反演算法应用于烟气SO_2的在线监测中。在DOAS算法的基础上,设计了基于最小二乘法的SO_2浓度计算方法,同时为了节约测量成本,使用短光程和低精度光谱仪进行测量,对低浓度SO_2气体进行了光谱测量和浓度反演实验。实验结果表明,在低浓度0~10-6的量程内,测量值的绝对误差在2/106左右,相对误差在5%以内,测量结果较稳定。该算法在短光程下对低浓度的SO_2气体具有较高的测量精度,可以准确、快速地实现SO_2气体的在线测量。
Traditional Differential Optical Absorption Spectroscopy (DOAS) algorithms have large errors for low light path measurements for short optical path lengths. In order to improve the measurement accuracy, the concentration inversion algorithm based on the differential absorption spectroscopy was applied to on-line monitoring of SO 2 in flue gas. Based on the DOAS algorithm, a method of calculating SO2 concentration based on the least square method was designed. In order to save the measurement cost, a short optical path and a low-precision spectrometer were used to measure the concentration of SO2. . The experimental results show that the absolute error of the measured value is about 2/106 and the relative error is within 5% at a low concentration range of 0 ~ 10-6, and the measurement result is relatively stable. The proposed algorithm has high measurement accuracy for low concentration of SO 2 gas in short optical path and can realize on-line measurement of SO 2 gas accurately and rapidly.