Puts forward a model to predict human thermal sensation under sweating according to the field studies of thermal comfort in Shanghai and Jiangsu.
结合上海、江苏两地的热舒适状况实测结果，提出了一个人体出汗状态下的热感觉预测模型。
Up to now there is not appropriate dynamic thermal comfort index and model, PMV index is still used in the study.
由于目前并无合适的动态热舒适指标和模型，研究仍旧采用PMV指标。
Through comparing with the comfort model used widely currently, the apparent temperature model on the basis of thermal equilibrium is proved to be more universal.
经与我国目前应用较为广泛的人体舒适度统计模型的计算结果相比较，证明以热量平衡为基础的人体体感温度模型更具有普遍性。
So it is feasible to predict the environmental thermal comfort with building and testing ANN model to different thermal environment.
因此，合理建立各类热环境的ANN模型，用已有的热反应数据训练该模型，实现对环境热舒适性的预测是可行的。
Based on the analysis of the human body heat loss, develops a mathematic model for predicting the mean thermal comfort vote in warm and humid environment.
并在分析人体散热的基础上，提出了一个可以对热湿环境中人体热舒适进行预测的数学模型。
Based on the analysis of the human body heat loss, develops a mathematic model for predicting the mean thermal comfort vote in warm and humid environment.
并在分析人体散热的基础上，提出了一个可以对热湿环境中人体热舒适进行预测的数学模型。
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