The application discloses a
skin temperature prediction method based on a multi-node sleep thermal regulation
human body model and belongs to the field of
human body thermal comfort prediction. The method comprises the following steps: inputting an
environmental temperature, an
environmental humidity and a local clothing
thermal resistance into a sleep thermal regulation
human body model, and calculating a
whole body skin temperature by the sleep thermal regulation
human body model based on the input data. The sleep thermal regulation
human body model divides a human body into six segments, i.e., a head, a
trunk, an arm, a hand, a leg and a foot, and each segment comprises four
layers from inside to outside, i.e., a core layer, a
muscle layer, a fat layer and a
skin layer, and each layer is a node, and in addition, a central blood node is further included, so as to form a 25-node sleep
human body model. The application can be used for predicting the temperature distribution of each body part of a human body under different indoor environments and clothing conditions when sleeping, the prediction result is close to the actual human body experimental measurement result, time-consuming and high-cost human body experiments are avoided, and the
thermal comfort of indoor environment regulation and home
textile product use can be judged.