Quantitative Analysis Method of Formaldehyde Pollution in Interior Decoration Materials Based on BP Neural Network

Yanhong Zhang, Hongliang Li

Ekoloji, 2019, Issue 108, Pages: 1185-1189


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With the improvement of material level, people’s requirements and pursuit of living room are becoming more and more abundant, which not only requires the living room to have a simple living function, but also has a higher pursuit such as health, and the benzene and toluene released by new materials. Formaldehyde and other volatile organic compounds bring serious pollution to indoor air and have a negative impact on human health. In this paper, the main sources of formaldehyde pollution in indoor air and the characteristics of the formaldehyde pollution are analyzed. On this basis, the formaldehyde pollution in the indoor air is quantitatively analyzed by using the BP neural network. The results show that the method of quantitative analysis based on the BP neural network is superior to the traditional quantitative analysis method based on the genetic algorithm, and the proposed method is effective. Finally, the control and control measures of formaldehyde pollution in indoor air are put forward, which provides the basis for controlling formaldehyde pollution in indoor air, purifying indoor environment and improving indoor air quality.


BP neural network, indoor, formaldehyde, concentration prediction


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