Evaluation of indoor air quality in gyms based on grey relational analysis model

H. Hao, Guiwen Shi, Wenhao Huang, Wen-jian Luo, Hongjun Dong
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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.
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基于灰色关联分析模型的体育场馆室内空气质量评价
本文从健身房空气质量的客观测试和主观评价两方面入手,测试结果显示,健身房VOC和CO2含量超标的比例分别为85.4%和73.3%,主观调查发现室内居住者出现了疲劳、呼吸困难等不适症状,而室内空气质量不合格的比例为10.2%。本文引入灰色关联分析模型,从人的主观感知和室内空气质量参数出发,构建灰色关联分析模型。灰色关联分析显示,与疲劳症状相关性最显著的是VOC浓度,相关性为0.909;与呼吸困难症状相关性最显著的是风速,相关性为0.941;与人员室内空气质量不接受率相关性最高的是VOC、CO2浓度和温度,相关性分别为0.882、0.804和0.761。最后根据相关规范和室内空气质量标准确定室内空气质量评价标准序列,通过灰色关联分析确定健身房空气质量中的光污染等级。
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