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    梁若冰

    • 副教授       硕士生导师
    • 性别:女
    • 毕业院校:大连理工大学
    • 学位:博士
    • 所在单位:土木工程系
    • 学科:供热、供燃气、通风及空调工程
    • 办公地点:土木3号楼602室
    • 联系方式:0411-84706203
    • 电子邮箱:liangrb@dlut.edu.cn

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

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    论文类型:期刊论文

    发表时间:2018-08-15

    发表刊物:ENERGY AND BUILDINGS

    收录刊物:SCIE

    卷号:173

    页面范围:613-622

    ISSN号:0378-7788

    关键字:Human thermal sensation; Online monitoring; Evaluation method; Different active states; Human experiment

    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.