Integration of IoT Energy Management System with Appliance and Activity Recognition

被引:12
|
作者
Lai, Chin-Feng [1 ]
Lai, Ying-Xun [2 ]
Yang, Laurence Tianruo [3 ]
Chao, Han-Chieh [1 ]
机构
[1] Natl ILan Univ, Inst Comp Sci & Informat Engn, Ilan, Taiwan
[2] Natl Cheng Kung Univ, Dept Engn Sci, Tainan, Taiwan
[3] St Francis Xavier Univ, Dept Comp Sci, Antigonish, NS B2G 2W5, Canada
来源
2012 IEEE INTERNATIONAL CONFERENCE ON GREEN COMPUTING AND COMMUNICATIONS, CONFERENCE ON INTERNET OF THINGS, AND CONFERENCE ON CYBER, PHYSICAL AND SOCIAL COMPUTING (GREENCOM 2012) | 2012年
关键词
Internet of Things; Energy Management; Appliance Recognition; Activity Recognition;
D O I
10.1109/GreenCom.2012.20
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The Internet of Things (IoT) extends and expands the range of the internet by interconnecting Internet and end device networks. As the raising of awareness about IoT, more and more application may applied for various areas. Especially, how to develop intelligent systems for energy saving becomes a new challenge in all circles. This research integrated appliance and activity recognition mechanism for IoT energy management system. It presented a management service layer for the recognition of current household appliances, which not only establishes communication services among various appliances, and deduced human activity conducted for context data using Naive Bayes from the electric appliances in use and the variation of its states. Finally, the proposed system can automatically achieve energy management by controlling electric appliances.
引用
收藏
页码:66 / 71
页数:6
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