AHP Algorithm for Indoor Air Pollution Detection and Evaluation System Design

Abstract

In order to extract a description of indoor air quality, the concentration of indoor pollutants needs to be obtained and then evaluated. Aiming at the existing indoor air quality monitoring and evaluation system, an AHP algorithm for the design of indoor air pollution detection and evaluation system is proposed, which combines the principles and methods of fuzzy mathematics to evaluate air quality in a confined environment. An experiment was carried out, using the analytic hierarchy process to assign weights. According to the principle of maximum subordination, comprehensive evaluation of air quality in a confined environment was carried out through fuzzy mathematical model. The experimental results show that the humidity value reached 54% RH when the temperature was 25°C, and the humidity value reached 60% RH when the temperature was 19°C. The evaluation results more scientifically reflect the true state of air quality.

Authors

  • Wen Fan Cangzhou Jiaotong College
  • Chengyang Chang Tianjin University of Technology and Education
  • Ning Yao Cangzhou Jiaotong College
  • Linxue Xu Cangzhou Jiaotong College
  • Hongyan Ju Cangzhou Jiaotong College

DOI:

https://doi.org/10.31449/inf.v47i3.3932

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Published

05/30/2023

How to Cite

Fan, W., Chang, C., Yao, N., Xu, L., & Ju, H. (2023). AHP Algorithm for Indoor Air Pollution Detection and Evaluation System Design. Informatica, 47(3). https://doi.org/10.31449/inf.v47i3.3932

Issue

Vol. 47 No. 3 (2023)

Section

Regular papers

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