基于红外热成像技术的着装热阻计算与热舒适:夏季室内不同活动水平下的人员研究  

Thermal Resistance Calculation and Thermal Comfort of Dressing Based on Infrared Thermography:A Study of People At Different Activity Levels Indoors in Summer

作　　者：刘国丹[1] 张瑶 胡鹏城 钟会阳 姜姗 LIU Guodan;ZHANG Yao;HU Pengcheng;ZHONG Huiyang;JIANG Shan(School of Environmental&Municipal Engineering,Qingdao University of Technology,Qingdao 266033,Shandong,China)

机构地区：[1]青岛理工大学环境与市政工程学院,山东青岛266033

出　　处：《建筑科学》2024年第8期139-149,共11页Building Science

基　　金：国家自然科学基金项目(51978349)。

摘　　要：针对如何实现非接触式采集数据并估计室内热舒适度,设置了代谢率为1 met、1.8 met和2.6 met共3种活动水平和常见的2种服装搭配组合,研究夏季不同工况下室内人员着装热阻值的计算算法,并由热阻值计算预计平均热感觉指数(PMV值),将PMV计算值与受试者问卷调查的实际热感觉投票(TSV)进行比较,分析每种算法的可行性和准确性。研究结果表明,非接触法在实现数据采集非接触测试的基础上,预测不同活动水平下室内人员的热舒适性与问卷调查最为接近,热感觉偏差均值为0.46个单位,但随着活动水平的增加,由于出汗对皮肤温度的影响,热感觉预测的准确性降低。本文还考虑了面颈部温度和皮肤湿润度对平均皮温的修正。并由非接触法得到的PMV值与ASV之间偏差均值降为0.42个单位,标准误差降低8.5%,相关性更强,可较精准地非接触实时预测冬季不同活动水平下室内人员的着装热阻值及热舒适性,对室内人员热舒适的获取和环境参数的智能化调节有一定意义。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 0.42 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.

关 键 词：服装热阻 实际着装 PMV 

分 类 号：TS941.2[轻工技术与工程—服装设计与工程]