| Tanabe模型和Smith热调节模型结合预测皮温效果分析 |
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| 引用本文： | 王涛,张万欣,李猛,卜雪琴,张宸,王海亮.Tanabe模型和Smith热调节模型结合预测皮温效果分析[J].北京航空航天大学学报,2022,48(12):2482-2493. |
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| 作者姓名： | 王涛 张万欣 李猛 卜雪琴 张宸 王海亮 |
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| 作者单位： | 1.中国航天员科研训练中心人因工程重点实验室，北京 100094 |
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| 基金项目： | 人因工程国防科技重点实验室预研基金6142222180502 |
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| 摘 要： | 人体热调节模型用于描述人体内外热传递现象，预测热生理参数值。为利用人-服热模型评估室温环境控制，抓住人-服-环境传热的主要因素提出了人体热调节与服装热阻的耦合模型。所提模型由受控系统和热调节控制系统构成。受控系统采用Tanabe模型，把人体分为16个节段，每个节段由内到外分成核心、肌肉、脂肪和皮肤4层，外加与各组织层传热的中心血池，共65个节点，每个节点上利用Pennes生物热方程计算传热量。热调节控制系统采用Smith热调节模型中利用生理数据获取的经验控制方程描述血管舒缩、出汗率和寒颤3种人体基本热调节控制方式。结果表明:所提模型对皮肤温度的预测值与试验结果绝对误差最大值小于0.8 ℃，绝对误差平均值约为0.5 ℃，对试验工况下的人体皮肤温度有较好的预测结果。
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| 关 键 词： | 生物热学 热调节模型 受控系统 生物热方程 皮肤温度 |
| 收稿时间： | 2021-03-25 |
Performance analysis of skin temperature prediction model combining Smith's thermoregulation model with Tanabe model |
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| Affiliation: | 1.National Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Beijing 100094, China2.School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China |
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| Abstract: | A human body thermoregulation model is designed to describe heat transfer from a human body to the environment, and predict thermal physiological parameters. This model is composed of a passive system and a thermoregulation system. The passive system employs the Tanabe model, consisting of 65 multi-nodes by dividing the human body into 16 segments, each of which has four layers: core, muscle, fat and skin. The 65th node is a blood pool transferring heat with each tissue layer. Pennes' bio-thermal equations are employed in each node to calculate heat exchange. In the thermoregulation system, the empirical control equations developed from the physiological experimental data in Smith's model are used to represent the three basal thermoregulation control modes of vasomotion, sweating and shivering in human bodies. The maximum absolute error between the simulation and experimental data is less than 0.8 ℃, and the mean value of the absolute error is about 0.5 ℃. The tests show that the proposed model based on Smith's and Tanabe's models can effectively predict skin temperature under the operating condition of this study. |
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