夏热冬暖地区老年人冬季热感觉模型研究

Study on winter thermal sensation model of the elderly in hot summer and warm winter zone

为探究不同统计研究方法对夏热冬暖地区老年人冬季热感觉模型建立的适用性及更好地预测老年人热感觉及自适应水平,对广州市多家机构室内老人进行问卷调查和现场热环境测试,使用加权线性回归、最小二乘法、牛顿迭代法进行数据分析。研究结果表明:热环境指标操作温度t;与MTS的相关性比SET高,由温度频率法得以1℃为区间的回归方程拟合程度比0.5℃为区间高,老年人的实测敏感度较低,实测MTS热中性温度为22.3℃,预测PMV热中性温度为23.18℃,基于温度频率法建立的APMV模型更贴近MTS且更能反映热感觉整体规律,对应λ最优解为-5.1199。

To explore the applicability of different statistical research methods for the establishment of thermal sensation model in hot summer and warm winter zone in winter,and to better predict the thermal sensation and adaptive level of the elderly,a questionnaire survey aiming at the elderly and field thermal environment test were conducted in many institutions in Guangzhou,and the data were analyzed by weighted linear regression,least square method and Newton iteration method.The results show that the correlation between the thermal environment index t;and MTS is higher than that of SET.The fitting degree of regression equation with 1 ℃ as the interval is better than that with 0.5 ℃as the interval.The measured thermal neutral temperature of MTS is 22.3 ℃ and the predicted thermal neutral temperature of PMV is 23.18 ℃.The APMV model based on temperature-frequency method is closer to MTS and can reflect the overall trend of thermal sensation.The corresponding λ optimal solution is-5.1199.