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Experimental research of online monitoring and evaluation method of human thermal sensation in different active states based on wristband device

机译:基于腕带装置的人体不同活动状态热感在线监测与评估方法的实验研究

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摘要

Existing automatic control of building thermal environments do not consider the individual's real-time thermal sensation, which could reduce the occupants' thermal comfort. Therefore, it is very important to accurately obtain an individual's thermal sensation and real-time reflect on the control logic of air-conditioning systems. Current thermal sensation estimation models mostly apply to sedentary condition without considering human sensation in different activity states, which caused these models have critical limitations in accurately predicting human thermal sensation. In this paper, an intelligent wristband device is used for online monitoring of human thermal characteristics in different active states. The wrist skin temperature and its time differential as well as the heart rate are used for the evaluation index of human thermal sensation, and a series of environmental chamber experiments are carried out to obtain the relationship between the wrist skin temperature and thermal sensation in different activity states in summer. The correlation models of human thermal sensation, wrist skin temperature and its time differential, and heart rate has been formulated by statistical analysis and correlation analysis. In order to verify the feasibility of correlation models in the unstable environmental condition, several tests were conducted in the actual built environment. This study indicates that the wrist skin temperature and its time differential and heart rate can be used for estimating human thermal sensation with a high degree of accuracy in the different activity states. In addition, results of this study also demonstrate the promising applicability of obtained correlation models in the unstable environmental condition. (C) 2018 Elsevier B.V. All rights reserved.
机译:现有的建筑热环境自动控制不考虑个人的实时热感,这可能会降低居住者的热舒适度。因此,准确获得个人的热感并实时反映空调系统的控制逻辑非常重要。当前的热感估计模型大多适用于久坐的情况,而没有考虑处于不同活动状态的人的感觉,这导致这些模型在准确地预测人的热感方面具有关键的局限性。在本文中,智能腕带设备用于在线监测不同活动状态下的人体热特性。腕部皮肤温度及其时差以及心率被用作人体热感的评估指标,并进行了一系列环境室实验,以了解不同活动下腕部皮肤温度与热感之间的关系。夏天。通过统计分析和相关分析,建立了人体热感觉,腕部皮肤温度及其时差与心率的相关模型。为了验证相关模型在不稳定环境条件下的可行性,在实际建筑环境中进行了一些测试。这项研究表明,腕部皮肤温度及其时差和心率可用于在不同活动状态下以高准确度估算人类的热感。此外,这项研究的结果还证明了所获得的相关模型在不稳定的环境条件下具有广阔的应用前景。 (C)2018 Elsevier B.V.保留所有权利。

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