基于遗传算法对氨气检测中温度补偿的研究

Temperature compensation in ammonia detection based on genetic algorithm

氨气是大气中常见的污染气体之一,其浓度检测结果易受到环境温度的影响,为准确检测氨气浓度,必须对温度的影响进行修正。该文将遗传算法与差分吸收光谱技术相结合,对氨气检测过程中温度的影响进行研究。基于紫外差分吸收光谱技术,搭建了296 K~328 K温度下的氨气检测系统,采用遗传算法对氨气检测结果进行温度补偿。结果表明,通过实验获得的温度补偿模型可有效消除温度对氨气检测的非线性影响,从而提高检测精度。在328 K温度下,44×10−6氨气检测结果的误差降低了26.97%,随着温度变化,线性相关系数均在0.99816以上;6×10−6氨气在温度补偿前后系统的检测限分别为0.198×10−6和0.278×10−6。

Ammonia is one of the common pollutants in the atmosphere,and the temperature has a significant impact on ammonia concentration detection results.In order to obtain the accurate concentration of ammonia,the influence of the temperature must be eliminated.The genetic algorithm was combined with differential optical absorption spectroscopy to explore the influence of temperature on ammonia concentration detection.The ammonia detection system at 296 K~328 K was developed based on ultraviolet differential optical absorption spectroscopy,and the compensated detection results were obtained by using genetic algorithm.The experimental results show that the temperature compensation model can effectively eliminate the non-linear influence of temperature on ammonia detection and improve the detection accuracy.The error of 44×10−6 ammonia detection results at 328 K is reduced by 26.97%.With the change of temperature,the linear correlation coefficients are above 0.99816.For 6×10−6 ammonia,the detection limit of the system is 0.198×10−6 and 0.278×10−6,respectively,before and after temperature compensation.