Green Communications and Networking. First International Conference, GreeNets 2011, Colmar, France, October 5-7, 2011, Revised Selected Papers

Research Article

A Smart Appliance Management System with Current Clustering Algorithm in Home Network

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  • @INPROCEEDINGS{10.1007/978-3-642-33368-2_2,
        author={Shih-Yeh Chen and Yu-Sheng Lu and Chin-Feng Lai},
        title={A Smart Appliance Management System with Current Clustering Algorithm in Home Network},
        proceedings={Green Communications and Networking. First International Conference, GreeNets 2011, Colmar, France, October 5-7, 2011, Revised Selected Papers},
        proceedings_a={GREENETS},
        year={2012},
        month={11},
        keywords={Appliance Management System Electric Appliances Current Clustering Algorithm Home Network},
        doi={10.1007/978-3-642-33368-2_2}
    }
    
  • Shih-Yeh Chen
    Yu-Sheng Lu
    Chin-Feng Lai
    Year: 2012
    A Smart Appliance Management System with Current Clustering Algorithm in Home Network
    GREENETS
    Springer
    DOI: 10.1007/978-3-642-33368-2_2
Shih-Yeh Chen1,*, Yu-Sheng Lu2,*, Chin-Feng Lai3,*
  • 1: Taipei Municipal University of Education
  • 2: Chunghwa Telecom Laboratories
  • 3: National Ilan University
*Contact email: me_ya404@hotmail.com, yusheng@cht.com.tw, Cinfon@ieee.org

Abstract

Due to the variety of household electric devices and different power consumption habits of consumers at present, it is a challenge to identify various electric appliances without any presetting. This paper proposed the smart appliance management system for recognizing of electric appliances in home network, which can measure the power consumption of household appliances through a current sensing device. The characteristics and categories of related electric appliances are established, and this system could search the corresponding cluster data and eliminates noise for recognition functionality and error detection mechanism of electric appliances by applying the current clustering algorithm. At the same time, this system integrates household appliance control network services to control them based on users’ power consumption plans, thus realizing a bidirectional monitoring service. In practical tests, the system reached a recognition rate of 95%, and could successfully control general household appliances in home network.