人体穿着热感觉预测模型研究

Research of Predictive Model for Wearing Thermal Sensation

本研究从人-服装-环境的系统高度和实穿服装层面出发,采用高分子膜湿度传感装置人体心肺功能测定仪等先进手段,在高代谢等20余种实际穿着条件下,对主感热感觉和20个客观变量进行160余次实验测定,取得原始数据150余万,在此基础上运用方差分析、相关分析、多元逐步回归、主成分回归及多重比较等数理统计,选取出影响人体穿着热感觉的主要指标,建立了体现心血管功能及体表散热为主的温热调节机制和广泛适用的穿着热感觉预测模型,为深入研究穿着热舒适性提供了理论依据和实用评价方法。

From the system level of man-clolhing-cnvironment and wearing clothing layer, using the effective means of humidity polymer-sensor, the research determines subjective thermal sensation and 20 objective variables measured for 160 times, and obtains 1.5 million original data in over 20 kinds of conditions of high metabolism fully conbining actual wearing, on the base. Using mathematical statistics such as correlation analysis, multivariancc stepwise regression, variance analysis, component regression and multiple comparisons, the study selects out of the principle indexes influencing body wearing thermal sensation, and builds wearing thermal sensation pridictive model emboding thermal conditioning mechanism such as heart blood vessel function and missing heat on body surf.ace. It will provide theoretical foundation and applied valuation method to study wearing thermal comfort in depth.