Thermal Resistance Calculation and Thermal Comfort of Dressing Based on Infrared Thermography:A Study of People At Different Activity Levels Indoors in Summer
To realize non-contact data collection and estimate indoor thermal comfort,three activity levels(with metabolic rates of 1 met,1.8 met and 2.6 met)and two dress matches were set.The algorithm of calculating the thermal resistance value of indoor personnel dressing under different working conditions in summer was studied,and the mean thermal sensory evaluation(PMV)was calculated from the thermal resistance value,and the calculated PMV value was compared with the actual thermal sensory vote(TSV)from the subject's questionnaire.The result was then used to analyze the feasibility and accuracy of each algorithm.The study results showed that the non-contact method,based on the implementation of non-contact testing for data collection,predicted the thermal comfort of indoor personnel at different activity levels closest to the questionnaire survey,with a mean thermal sensory deviation of 0.46 units,but the accuracy of thermal sensory prediction dropped as the activity level rose due to the effect of sweating on skin temperature.This paper also considered the correction of mean skin temperature by face and neck temperature and skin moistness.And the mean value of deviation between PMV value and ASV obtained by the non-contact method was reduced to O.42 units,with a standard error reduction of 8.5％and stronger correlation.This algorithm can predict the thermal resistance value and thermal comfort of indoor personnel dressing under different activity levels in winter in a more accurate non-contact real-time manner,which is meaningful for the acquisition of thermal comfort of indoor personnel and the intelligent adjustment of environmental parameters.
万方数据
维普
