Research And Application Based On Multiple Physiological Parameters Of Human Thermal Comfort Model

Thermal environment directly affect people’s health,people are increasingly focused on the thermal environment indoor with the improvement of living standards.Air conditioning can be used to obtain constant temperature and humidity,to make indoor with constant temperature and humidity of the air;however the single model is unable to completely meet the requirements of thermal comfort.A healthy and comfortable thermal environment gives us not only the psychological enjoyment but also a kind of elegant life.Conventional air conditioning environment,which weakens body’s thermal adaptability and makes people feel dull.It also will be affected people’s efficiency and gradually degenerate the immune system living long in that environment.Moreover,the energy consumption is more serious.Therefore,how to improve air quality and thermal comfort indoor has become a crucial issue in energy drying up and serious environmental pollution of the society.The thesis synthesize skin temperature,skin conductance,heart rate to achieve the multivariate evaluation of indoor human thermal comfort by using Fisher discriminate and partial least squares together with subjective questionnaire,and to achieve thermal comfort control dynamically.First,the thesis designs physiological experimental program in detail,classifies subjective questionnaires ruler,including thermal sensation,thermal comfort and sweat rate.Then we analyze human subjective thermal response distribution and regular pattern according to the vote on the state of thermal comfort and physiological parameters of subjects under five experimental conditions.Finally the skin temperature,skin conductance and heart rate are studied to establish mapping relationship between thermal comfort and physical parameters.The skin temperature of six points is used for the thermal differentiation condition to set up two discriminate functions and to realize the sample classification by joint probability density distribution chart and territorial map.Synthesizing mean skin temperature,skin conductance and heart rate three physiological parameters to realize the multiple regression model by using partial least square regression method,results show that the multivariate evaluation model can track human body thermal comfort trends better and most of the data predicted accurately.Thermal environment monitor system indoor is simply designed,and the system function of each module is basically completed,achieving environmental parameters indoor on-line monitoring.Aiming at the disadvantages of traditional air conditioning mode,this thesis puts forward a kindof human thermal comfort control system,the structure and control flow of the system are designed in detail.The system fully consider environmental parameters indoor,physiological parameters,the body’s metabolism rate and clothing thermal resistance and others to meet the demand of particular user’s thermal comfort as far as possible,the system has higher practicability.Figure [28] Table [23] Reference [53]...