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Estimated thermal sensation models by physiological parameters during wind chill stimulation in the indoor environment

机译:室内环境中风寒刺激期间通过生理参数估算的热感觉模型

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摘要

Thermal sensation is the occupants' response about the thermal variation of any given environment. Data regarding thermal sensation can be collected to enhance an air conditioner's capabilities to improve the thermal environment of an area. In this study, six physiological parameters, including skin blood flow (SBF), skin temperatures (forehead, arm, and hands) sweat areas and sweat pore diameters of the body were monitored during a two-step wind chill stimulation in an indoor environment. These physiological parameters were measured by a laser Doppler flowmeter, three surface thermometers, and a digital universal serial bus (USB) microscope. The sample group consisted of 12 undergraduate students who were recruited to be test subjects. The correlation coefficients between the aforementioned six physiological parameters and the Thermal Sensation Vote (TSV) were then analyzed. These physiological parameters were used to develop eight estimated TSV models. Of all the parameters measured for the TSV models, skin temperatures of the forehead and arms as well as SBF measurements provided the most accurate results. In contrast, sweat area measurements had the lowest accuracy under the experimental conditions of this study. Therefore, the estimated TSV models based on the skin temperature measured at the forehead or the combined physiological parameters would provide the most timely thermal comfort response of the occupants and facilitate the better intelligent control of an air-conditioning system for an indoor environment. (C) 2018 Elsevier B.V. All rights reserved.
机译:热感是居住者对任何给定环境的热变化的反应。可以收集有关热感的数据,以增强空调器改善区域热环境的能力。在这项研究中,在室内环境中进行两步风寒刺激期间,监测了六个生理参数,包括皮肤血流量(SBF),皮肤温度(前额,手臂和手)的汗液区域和身体的汗液孔径。这些生理参数通过激光多普勒流量计,三个表面温度计和数字通用串行总线(USB)显微镜进行测量。样本组由12名本科生组成,他们被招募为测试对象。然后分析了上述六个生理参数与热敏投票(TSV)之间的相关系数。这些生理参数用于建立八个估计的TSV模型。在为TSV模型测量的所有参数中,前额和手臂的皮肤温度以及SBF测量提供了最准确的结果。相反,在这项研究的实验条件下,汗液面积测量的准确性最低。因此,基于额头上测得的皮肤温度或组合的生理参数估计的TSV模型将为乘员提供最及时的热舒适响应,并有助于更好地智能控制室内环境的空调系统。 (C)2018 Elsevier B.V.保留所有权利。

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