Smart sensors enable smart air conditioning control.
Smart sensors enable smart air conditioning control.
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DOI：
10.3390/s140611179
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发表时间：
2014-06-24
期刊：
影响因子：
--
通讯作者：
Lee D
中科院分区：
文献类型：
--
作者：
Cheng CC;Lee D
在这项研究中，移动的手机，可穿戴设备，温度和人体运动探测器集成为智能传感器，使智能空调控制。智能传感器从放置在人体上的移动的手机和可穿戴设备获取反馈，特别是乘员的信息。该信息可以用于根据人的意图预先调节空调，即所谓的意图引起控制。实验结果表明，该系统能精确控制室内温度，控制误差小于±0.1 °C。在使用者进入房间后，可在2分钟内快速冷却至最佳室内容量。值得注意的是，在两小时的运行时间内，智能空调的总压缩机输出比使用开关控制的压缩机输出少48.4%。可穿戴设备智能空调可以检测人体睡眠时的体温和活动情况，判断睡眠状态，灵活调整睡眠功能。通过可穿戴设备优化的智能空调睡眠功能，可降低高达46.9%的能耗，保护人体健康。该智能空调能提供舒适的环境，达到节能环保的目的。
In this study, mobile phones, wearable devices, temperature and human motion detectors are integrated as smart sensors for enabling smart air conditioning control. Smart sensors obtain feedback, especially occupants' information, from mobile phones and wearable devices placed on human body. The information can be used to adjust air conditioners in advance according to humans' intentions, in so-called intention causing control. Experimental results show that the indoor temperature can be controlled accurately with errors of less than ±0.1 °C. Rapid cool down can be achieved within 2 min to the optimized indoor capacity after occupants enter a room. It's also noted that within two-hour operation the total compressor output of the smart air conditioner is 48.4% less than that of the one using On-Off control. The smart air conditioner with wearable devices could detect the human temperature and activity during sleep to determine the sleeping state and adjusting the sleeping function flexibly. The sleeping function optimized by the smart air conditioner with wearable devices could reduce the energy consumption up to 46.9% and keep the human health. The presented smart air conditioner could provide a comfortable environment and achieve the goals of energy conservation and environmental protection.
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影响因子：
6.7
作者：
Perez-Lombard, Luis;Ortiz, Jose;Pout, Christine
通讯作者：
Pout, Christine
DOI：
10.1016/j.ijrefrig.2006.08.009
发表时间：
2007-03-01
期刊：
INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID
影响因子：
--
作者：
Lin, Jin-Long;Yeh, T-J.
通讯作者：
Yeh, T-J.
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影响因子：
6.7
作者：
Zhao, Kang;Liu, Xiao-Hua;Jiang, Yi
通讯作者：
Jiang, Yi
影响因子：
6.7
作者：
Ma, Zhenjun;Wang, Shengwei
通讯作者：
Wang, Shengwei
DOI：
10.3390/s110202013
发表时间：
2011
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Chen CS;Lee DS
通讯作者：
Lee DS