中国安全科学学报 ›› 2022, Vol. 32 ›› Issue (10): 214-221.doi: 10.16265/j.cnki.issn1003-3033.2022.10.1664

• 职业卫生 • 上一篇    下一篇

高温环境下人体热反应模型的建立及验证

刘冬华1(), 汪海涛1, 杨杰2, 赵江平1   

  1. 1 西安建筑科技大学 资源工程学院,陕西 西安 710055
    2 西安科技大学 安全科学与工程学院,陕西 西安 710054
  • 收稿日期:2022-04-10 修回日期:2022-08-17 出版日期:2022-10-28 发布日期:2023-04-28
  • 作者简介:

    刘冬华 (1982—),女,河南商丘人,博士,讲师,主要从事安全人机工程和安全管理等方面的研究。E-mail:

    杨杰 副教授

    赵江平 副教授

  • 基金资助:
    国家自然科学基金资助(51904228)

Development and verification of human thermal response model in high temperature environment

LIU Donghua1(), WANG Haitao1, YANG Jie2, ZHAO Jiangping1   

  1. 1 School of Resources and Engineering, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, China
    2 College of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an Shaanxi 710054, China
  • Received:2022-04-10 Revised:2022-08-17 Online:2022-10-28 Published:2023-04-28

摘要:

为简便合理地评估高温环境作业人员热应激水平,首先基于二节点模型的人体结构分层原理,修正原模型的体温调定值及代谢产热量、对流换热系数和服装热湿阻,并建立高温环境人体热反应模型;然后依据文献中8个不同工况下(常温环境、暖环境和高温环境,不同着装,不同劳动强度)的试验数据,比较核心温度、皮肤温度模拟结果与试验测量值,验证模型的预测精度。结果表明:修正后的模型适用于常温环境,核心温度和皮肤温度模拟值的均方根偏差小于试验值标准差,特别是在高温环境下的模拟值与试验值吻合较好,核心温度模拟值与试验值最大偏差不超过0.3 ℃,皮肤温度最大偏差不超过0.6 ℃;4个高温工况中,改进后的模型整体预测精度提升率最低为15%,尤其是中国人体数据的2个高温工况(空气温度 35 ℃、 相对湿度40%和空气温度38 ℃、相对湿度25%),改进后模型核心温度预测精度提升显著。

关键词: 高温环境, 人体热反应模型, 生理参数, 核心温度, 皮肤温度

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.

Key words: high temperature environment, human thermal response model, physiological parameter, core temperature, skin temperature