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为了揭示人体热反应机理、分析局部热感觉对整体热感觉的影响,通过对身体7个不同部位的冷刺激,开展了对人体主观热反应的实验研究(取94个样本),并建立了整体热感觉预测模型.为消除各部位间存在的多重共线性影响,采用主成分回归方法获得不同部位刺激工况下的主成分.然后通过多元线性回归和主成分分析,得到7个部位的权重系数.最后,基于此权重系数建立整体热感觉的预测模型.分析结果表明,躯干和肢体末端表现出不同的热反应特性,局部对整体热感觉的权重系数在物理意义上为一综合反应量,并且不同部位的权重系数相差不大.
In order to reveal the mechanism of human thermal response and analyze the effect of local thermal sensation on global thermal sensation, an experimental study of subjective thermal response to human body (94 samples) was conducted through cold stimulation of seven different parts of the body, and the whole body Thermal sensation prediction model.In order to eliminate the multicollinearity among the various parts, the principal component regression method was used to obtain the principal components under different stimulation conditions.After multiple linear regression and principal component analysis, the weight coefficients of seven parts .Finally, the global thermal sensation prediction model is established based on this weight coefficient.The analysis results show that the torso and the extremities exhibit different thermal response characteristics, and the weight coefficient of local thermal sensation on the whole is a comprehensive response in the physical sense, and Different parts of the weight coefficient or less.