Yang Jie, Weng Wenguo, Wang Faming, Song Guowen
Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing, 100084, China; Department of Apparel, Events and Hospitality Management (AESHM), Iowa State University, Ames, IA 50011, USA.
Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing, 100084, China.
Appl Ergon. 2017 May;61:168-177. doi: 10.1016/j.apergo.2017.01.014. Epub 2017 Feb 8.
This paper aims to integrate a human thermoregulatory model with a clothing model to predict core and skin temperatures. The human thermoregulatory model, consisting of an active system and a passive system, was used to determine the thermoregulation and heat exchanges within the body. The clothing model simulated heat and moisture transfer from the human skin to the environment through the microenvironment and fabric. In this clothing model, the air gap between skin and clothing, as well as clothing properties such as thickness, thermal conductivity, density, porosity, and tortuosity were taken into consideration. The simulated core and mean skin temperatures were compared to the published experimental results of subject tests at three levels of ambient temperatures of 20 °C, 30 °C, and 40 °C. Although lower signal-to-noise-ratio was observed, the developed model demonstrated positive performance at predicting core temperatures with a maximum difference between the simulations and measurements of no more than 0.43 °C. Generally, the current model predicted the mean skin temperatures with reasonable accuracy. It could be applied to predict human physiological responses and assess thermal comfort and heat stress.
本文旨在将人体体温调节模型与服装模型相结合，以预测核心体温和皮肤温度。人体体温调节模型由一个主动系统和一个被动系统组成，用于确定体内的体温调节和热量交换。服装模型模拟了热量和水分通过微环境和织物从人体皮肤传递到环境中的过程。在这个服装模型中，考虑了皮肤与服装之间的气隙以及服装的特性，如厚度、热导率、密度、孔隙率和曲折度。将模拟的核心体温和平均皮肤温度与在20°C、30°C和40°C三个环境温度水平下进行的受试者测试的已发表实验结果进行了比较。尽管观察到较低的信噪比，但所开发的模型在预测核心体温方面表现出积极的性能，模拟值与测量值之间的最大差异不超过0.43°C。总体而言，当前模型对平均皮肤温度的预测具有合理的准确性。它可用于预测人体生理反应，并评估热舒适性和热应激。
