Citation

Liu D, Wang H, Yang J, Zhao J. China Saf. Sci. J. 2022; 32(10): 214-221.

Copyright

(Copyright © 2022, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2022.10.1664

PMID

unavailable

Abstract

In order to evaluate the heat strain level of workers in high temperature environment simply and reasonably, a thermal response model of human body in high temperature environment was developed based on the layered principle of human body structure in the two-node model, by modifying the temperature setting value, metabolic heat production, convective heat transfer coefficient and thermal insulation and vapor resistance of clothing of the original model. According to the test data of 8 different working conditions (normal temperature environment, warm environment and high temperature environment, different clothing, and different labor intensity) in the literature, the prediction accuracy of the model was verified by comparing the simulation results of core temperature and skin temperature with experimental measurements The results show that the modified model works at room temperature. The root mean square deviation of the simulated value of core and skin temperature is less than the standard deviation of the experimental value. Especially in the high temperature environment, the simulated value of the modified model is in good agreement with the experimental value. The maximal difference between simulations and measurements in terms of the core temperature and mean skin temperature is no more than 0. 3 and 0. 6 ℃ respectively. In the four high temperature working conditions, the prediction accuracy of the proposed model is improved by at least 15% compared with the original two-node model. Especially in the two high temperature working conditions (air temperature 35 ℃, relative humidity 40% and air temperature 38 ℃, relative humidity 25%) of Chinese human body data, the core temperature prediction accuracy of the modified model is improved significantly. © 2022 China Safety Science Journal. All rights reserved.

Language: zh