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Comparison and improvement of biological comfort index grading models |
Lv Yuchang, Tan Hanling, Tang Jingjing |
Guangdong Meteorological Observation Data Center,Guangzhou 510080 |
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Abstract An 18-month sampling statistics and comparative analysis of the comfort index output by the biological comfort meter in various cities in Guangdong province and the comfort level of different local people are carried out.The least squares curve method is used to fit statistical data.According to the characteristic research and the reason analysis of the fitting curve,a revised model of biological comfort index grading is proposed.The revised comparative analysis shows that the comfort index output by the instrument is closer to the actual experience of the crowd,and the adjustment of the grading model is reasonable.The improved biological comfort index classification model provides a reference for the monitoring and forecast of biological comfort.
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Received: 09 January 2021
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