Establishment Of Thermal Comfort Evaluation Model Of Multiple Physiological Parameters Based On Individual Difference

The wide utilization of air conditioning witnessed individuals’ increasing people preference of indoors context.The comfort of indoors environment have significant impact on human’s living standard,thus the Sick Building Syndrome(SBS)is gradually arousing researchers’ consideration.The large quantity of energy sources are required constructing comfortable indoors context.Therefore researchers ought to take the energy saving technology into consideration,when improving indoors environment quality.The research of human thermal comfort should adhere to the principle of people foremost,creating more comfortable and healthier environment.The recent years have witnessed the introduction of the physiology into the study of the human body thermal comfort,aiming to analyze the thermal comfort from perspective of physiology.However,previous research ignored the individual differences in terms of gender,age,ethnic group difference,etc,when human thermal comfort was conducted.Hence,it is of necessity to study the variation rules between thermal environment and human physiology in the light of diversity of groups.After the analysis of these factors and consideration,the current research,based on individual differences,established thermal comfort evaluation model in multiply physiological parameters.The three different physiological signals skin temperature,skin conductance,and heart rate)are collected firstly through the physiological experiment,and the changed regulation with the varied contexts are analyzed specifically.The participants from Anhui Jianzhu university are recruited,and their demographic in terms of gender,age,physical state,clothing,etc were collected.Moreover the thermal comfort state requirements the regularity of overall thermal sensation and thermal comfort of the parts of the body were measured.Finally via the pattern of partial least-squares regression method and the ELM-RBF neural network method,the multiple physiological thermal comfort model,based on individual difference,is established.Compared with classical PMV formula calculation,the results show that the performance of the performance of a multiple physiological thermal comfort model based on individual difference,which was established by ELM-RBF neural network was better than the other two methods,it possibly predict human’s preference on thermal comfort,and the findings would be utilized to meet the needs of individual thermal comfort.