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农村地区座椅辅助供暖方式下人体热反应的变化规律
引用本文:田健,王美萍,田琦,张玲.农村地区座椅辅助供暖方式下人体热反应的变化规律[J].华侨大学学报(自然科学版),2022,43(1):88-95.
作者姓名:田健  王美萍  田琦  张玲
作者单位:太原理工大学 土木工程学院, 山西 太原 030024
基金项目:国家科技支撑计划项目(2012BAJ04B02);;科技部国际合作项目(2013DFA61580);
摘    要:针对北方农村地区“煤改电”供暖方式带来运行费较高的问题,以及农居环境室温偏低的问题提出一种座椅辅助供暖方式.分析局部供暖方式下人体热反应的变化规律,研究人体整体热感觉、整体热舒适,以及整体热可接受度在座椅加热前后的变化和相互关系.研究结果表明:座椅加热可以有效改善人体热反应,环境温度偏离热中性环境越多,改善程度越明显;3个热反应指标在加热前密切相关,加热后因热感觉分布不均匀出现分离;以整体热舒适作为评价指标,对整体热感觉与热感觉不均匀度做线性回归分析,拟合度较高(R2=0.896);而引入平均皮肤温度与整体热感觉做拟合分析,拟合度较好(R2=0.916).由此得到结合主观热反应与客观生理指标的综合预测评价模型,经验证预测效果较好(R2=0.903).

关 键 词:座椅加热  辅助供暖  人体热反应  热感觉  预测评价模型  农村地区

Human Body's Thermal Response Under Auxiliary Seat Heating in Rural Areas
TIAN Jian,WANG Meiping,TIAN Qi,ZHANG Ling.Human Body's Thermal Response Under Auxiliary Seat Heating in Rural Areas[J].Journal of Huaqiao University(Natural Science),2022,43(1):88-95.
Authors:TIAN Jian  WANG Meiping  TIAN Qi  ZHANG Ling
Institution:College of Civil Engineering, Taiyuan University of Technology, Taiyuan 030024, China
Abstract:In order to deal with the high running cost problem caused by coal to electricity heating way, and low room temperature problem in northern rural areas, a seat auxiliary heating way was proposed. Human thermal response was analyzed under local heating,and human overall thermal sensation, overall thermal comfort, and overall thermal acceptability and correlation were studied before and after seat heating. The results show that seat heating can effectively improve human thermal response. The more the environment temperature deviates from the thermal-neutral environment, the more obvious the improvement will be. The three thermal reaction indexes were closely related before heating and separated after heating due to thermal sensation uneven distribution. Taking the overall thermal comfort as the evaluation index, the linear regression analysis on the overall thermal sensation and the thermal sensation ununiformity is conducted, and the fitting degree is high(R2=0.896); introducing the mean skin temperature to fitting analysis with the overall thermal sensation, the fitting degree is high(R2=0.916). Thus a comprehensive prediction and evaluation model combining subjective thermal response and objective physiological indicators is obtained with good prediction effect(R2=0.903).
Keywords:seat heating  auxiliary heating  human thermal response  thermal sensation  predictive evaluation model  rural areas
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