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Thermal model of an unconditioned, heated and ventilated seat to predict human thermo-physiological response and local thermal sensation

机译:未调节,加热和通风的座椅的热模型可预测人类的热生理反应和局部热感觉

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摘要

Local conditioning technologies such as seat heating and ventilation have been shown to improve thermal sensation and comfort, with reduced energy demands compared to conventional methods of heating and cooling. Investigation of the conditioning effectivity is demanding in terms of time and resources, as it is mainly based on human subject or thermal manikin testing. One promising method of rapidly investigating a wide range of environmental conditions is thermo-physiological and thermal sensation modelling. Until now, however, one of the most important properties of the seat, its thermal diffusivity, has been neglected in such simulations. We therefore developed a methodology that involves one-dimensional, thermal model of the seat coupled with a multi-node thermo-physiological model and thermal sensation models. The seat thermal model showed realistic predictions of heat flux in the seat contact interface for control (no conditioning), heated, and ventilated seats. The modelling results were validated against our original experimental data and data from the literature for unconditioned, heated, and ventilated seats. The root mean square deviation (RMSD) and bias of the local skin temperatures were within the standard deviation of the measurement, typically within 1 degrees C. In the case of the predicted local thermal sensations, we found the RMSD and bias to be below two standard deviations of the human votes in two out of three of the thermal sensation models examined. Less accurate predictions were found for the seat contact, where further model refinement is needed.
机译:与传统的加热和冷却方法相比,诸如座椅加热和通风的局部调节技术已显示出改善的热感和舒适性,并减少了能源需求。就时间和资源而言,研究调理效果是一项艰巨的工作,因为它主要基于人体或热人体模型测试。快速研究广泛的环境条件的一种有前途的方法是热生理学和热感觉建模。然而,到目前为止,在这种模拟中,座椅的最重要特性之一,即热扩散率一直被忽略。因此,我们开发了一种方法,该方法涉及座椅的一维热模型以及多节点热生理模型和热感觉模型。座椅热模型显示了用于控制(无调节),加热和通风座椅的座椅接触界面中热通量的真实预测。针对我们的原始实验数据和来自文献的无条件座椅,加热座椅和通风座椅的数据,对建模结果进行了验证。均方根偏差(RMSD)和局部皮肤温度偏差在测量的标准偏差范围内,通常在1摄氏度以内。在预测的局部热感的情况下,我们发现RMSD和偏差均低于2在所研究的三种热感觉模型中,有两种是人类投票的标准偏差。对于座椅接触,需要进行进一步的模型改进的准确度较低的预测被发现。

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