Volatile organic pollutants produced during people’s living and production are the main source of stinkpollution. The rapid and efficient detection and evaluation of odors in gas through effective methods is a keystep for improving the level of supervision and ensuring people's living health. Because the chemicalcomposition of the stink and odor gas is complex, the single odor intensity detection and evaluation methodcan hardly meet the requirement. Therefore, based on the odor research of domestic and foreign scholars, amulti-component odor mixture prediction model is established in this paper. The prediction modelcomprehensively considers and analyzes the interaction between odor and volatile organic compounds(VOCs), and the relationship between the concentration of chemical components and the intensity of odor;basing on the linear equation between the odor intensity and the logarithm of the activity to modify the Umodel and the vector model can better achieve detection and evaluation of the total odor intensity of themixture gas, and can improve the prediction accuracy of the odor intensity prediction model. The research hasimportant guiding significance for improving domestic evaluation and detection level of gas odor.
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