在温暖的夜晚提供舒适的睡眠系统作为智能家居的功能

Kanae Matsui
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引用次数: 7

摘要

日本暖夜的增加是由全球变暖的影响造成的。温暖夜晚的定义是夜间温度超过25摄氏度;在日本,温暖的夜晚通常出现在8月中旬,会导致睡眠不足和身体不适。此外,温暖的夜晚会使人生病,尤其是那些患有心脏病的人容易生病,这可能会导致严重的疾病。为了在温暖的夜晚提供一个更好的舒适睡眠环境,本研究提出了一个舒适睡眠供应系统,它包括四个主要功能。该系统收集环境和评估数据来检测室内舒适度,以确定哪种室内舒适度的居民更喜欢使用网络传感器和基于网络的问卷。然后,供暖、通风、空调和信息提供的功能适用于卧室,并提供给每个人。为了确认该系统的有效性,我们在两栋房子的卧室安装了该系统;每栋房子住着两个人。实验进行了20天,其中10天用于收集基础数据,另外10天用于使用本系统。此外,为了进一步评估拟议的系统,系统提供的网页收集了每个参与者的睡眠时间和他们的偏好数据。在考虑预测的平均投票(PMV)偏好是否有效时,将未使用拟议系统的5天数据与使用偏好数据的拟议系统的5天数据进行比较。结果表明,所提出的系统(a)提供了更好的睡眠空间,(b)睡眠时间延长了5.7分钟,(c)对每个人的PMV偏好定制信息的满意度提高了7.72%,(d)获得了77.5%的系统满意度评级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pleasant sleep provision system during warm nights as a function of smart home
The increase in the occurrence of warm nights in Japan is caused by the effects of global warming. A definition of warm nights is a temperature over 25 degrees Celsius during the night; warm nights are often observed in the middle of August in Japan and cause loss of sleep and deconditioning. Moreover, the effects of warm nights cause people to fall ill, especially those with heart disease tend to fall ill easily, which could lead to serious medical conditions. In order to provide a better environment for pleasant sleep during warm nights, this study presents a pleasant sleep provision system, which consists of four main functions. The system collects environmental and evaluation data to detect indoor comfort to determine which indoor comfort residents prefer using a networked sensor and web-based questionnaire. Then, functions of a heating, ventilation, and air conditioning and information provision are adapted for a bedroom and delivered to each person. To confirm the effectiveness of the proposed system, the system was installed in the bedrooms of two houses; two people lived in each house. An experiment was conducted for 20 days, 10 days of which were just for collecting basic data, and the other 10 days for using this system. In addition, to further evaluate the proposed system, the web page provided by the system collects the data of each participant's sleeping time and their preferences. In considering whether the predicted mean vote (PMV) preference was effective or not, 5 days of data of when the proposed system was not used were compared with 5 days of data of when the proposed system with the preference data was used. The results revealed that the proposed system (a) provided a better space for sleeping, (b) sleeping time was longer 5.7 min, (c) showed improved satisfaction of customized information for each person's PMV preference (7.72 percent), and (d) received a system satisfaction rating of 77.5 percent.
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