IoT-based OLED Lighting Control System for Providing Comfort Space

被引:0
|
作者
Matsui, Kanae [1 ,2 ]
Saito, Katsutoshi [3 ,4 ]
机构
[1] Tokyo Denki Univ, Sci & Engn, Div Informat Design, Tokyo, Japan
[2] Keio Univ, Grad Sch Media Design, Saitama, Japan
[3] Akita Univ, Grad Sch Engn & Resource Sci, Akita, Japan
[4] Saikatu Inc, Akita, Japan
来源
2017 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTED, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI) | 2017年
关键词
Internet of Things; Light control; Smart house; Indoor Comfort; Bluetooth Low Energy;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
A Smart City, today, focuses not only on efficiency of energy, transportation, and communication, but also on providing a Quality of Life (QoL) using the same framework and systems that have been created for the former purpose. Providing a space maintained QoL, i. e., maintaining the indoor comfort in a house is one of the main components of smart space. This study provides indoor comfort with a networked lighting system. The proposed system has two main functions: (1) controlling full color OLED lights via Wi-Fi, and (2) collecting data related to the environment as well as people's entries and exits for evaluation of the system to determine whether the system helps in providing comfort and is used by people who do not use the Internet of Things (IoT) technology. Function (1) provides for automatic operation and control of full color changing OLED lights via WiFi. Function (2) measures, collects, and stores the data almost at real-time and utilizes them for the evaluation of the system itself in order to maintain indoor comfort by the networked lights. To test the effectiveness of the system, it was installed at a day-care center in northern Japan for six months. According to the results, the proposed system showed 100% operation checking rate 210 times, and the evaluation functions showed the rate of indoor comfort, indicated as Predicted Mean Vote (PMV) values. Human detection around the system, detected by Bluetooth Low Energy (BLE), could also be seen.
引用
收藏
页数:6
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