H. Hao, Guiwen Shi, Wenhao Huang, Wen-jian Luo, Hongjun Dong
{"title":"Evaluation of indoor air quality in gyms based on grey relational analysis model","authors":"H. Hao, Guiwen Shi, Wenhao Huang, Wen-jian Luo, Hongjun Dong","doi":"10.1145/3523286.3524570","DOIUrl":null,"url":null,"abstract":"This paper starts with both objective tests and subjective evaluations of gym air quality, The test revealed that the VOC and CO2 levels in the gym exceeded the standard by 85.4% and 73.3%, and the subjective survey found that the indoor occupants suffered from fatigue, breathlessness and other unpleasant symptoms, while the indoor air quality was not accepted by 10.2%.The grey relational analysis model is introduced here to construct a grey relational analysis model from the subjective perception of people and indoor air quality parameters. Grey correlation analysis revealed that the most significant correlation with fatigue symptoms was VOC concentration with a correlation of 0.909 and the most significant correlation with breathlessness symptoms was wind speed with a correlation of 0.941, The highest correlations with the rate of non-acceptance of indoor air quality by personnel were VOC, CO2 concentration and temperature, at 0.882, 0.804 and 0.761 respectively. Finally, according to the relevant codes and indoor air quality standards to determine the indoor air quality evaluation criteria sequence, through the grey relational analysis to determine the gym air quality in the light pollution level.","PeriodicalId":268165,"journal":{"name":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3523286.3524570","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper starts with both objective tests and subjective evaluations of gym air quality, The test revealed that the VOC and CO2 levels in the gym exceeded the standard by 85.4% and 73.3%, and the subjective survey found that the indoor occupants suffered from fatigue, breathlessness and other unpleasant symptoms, while the indoor air quality was not accepted by 10.2%.The grey relational analysis model is introduced here to construct a grey relational analysis model from the subjective perception of people and indoor air quality parameters. Grey correlation analysis revealed that the most significant correlation with fatigue symptoms was VOC concentration with a correlation of 0.909 and the most significant correlation with breathlessness symptoms was wind speed with a correlation of 0.941, The highest correlations with the rate of non-acceptance of indoor air quality by personnel were VOC, CO2 concentration and temperature, at 0.882, 0.804 and 0.761 respectively. Finally, according to the relevant codes and indoor air quality standards to determine the indoor air quality evaluation criteria sequence, through the grey relational analysis to determine the gym air quality in the light pollution level.