An Intercommunication Home Energy Management System with Appliance Recognition in Home Network

In present days there are wide varieties of household electric appliances along with different power consumption habits of consumers, making identifying electric appliances without presetting difficulty. This paper introduces smart appliance management system to recognize electric appliances in home networks, which uses sensing devices that measure current to calculate the power consumption of the appliances. The system will set the characteristics and categories of each electric appliance, and then uses the classifications of the electronic energy features in order to recognize different appliances. The system searches the cluster data while eliminating noise for recognition functionality and error detection mechanism or the electric appliances using the current clustering algorithm. Afterwards the recognition are used to build a control list of appliances on the platform to provide appliance intercommunication. Simultaneously, the household appliance automatic control services are integrated by the system to control appliances based on userspower consumption plans to realize a bidirectional monitoring services. In actual experiments, the proposed system achieves a recognition rate or 95% as well as successfully controls general household electric appliances in home network.

[1]  Jing Gao,et al.  A design of smart energy-saving power module , 2010, 2010 5th IEEE Conference on Industrial Electronics and Applications.

[2]  Christian R. Prause,et al.  The Energy Aware Smart Home , 2010, 2010 5th International Conference on Future Information Technology.

[3]  Tatsuya Yamazaki,et al.  Determining location of appliances from multi-hop tree structures of power strip type smart meters , 2009, IEEE Transactions on Consumer Electronics.

[4]  Hiroyuki Watanabe,et al.  Application of a fuzzy discrimination analysis for diagnosis of valvular heart disease , 1994, IEEE Trans. Fuzzy Syst..

[5]  Choong Seon Hong,et al.  Design and Implementation of Control Mechanism for Standby Power Reduction , 2008, IEEE Transactions on Consumer Electronics.

[6]  C. W. Liu,et al.  Develop a power quality measurement system integrated with HAN home energy management system , 2011, 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT).

[7]  Tohru Hoshi,et al.  A method of appliance detection based on features of power waveform , 2004, 2004 International Symposium on Applications and the Internet. Proceedings..

[8]  José Soler,et al.  A Novel Home Energy Management System Architecture , 2011, 2011 UkSim 13th International Conference on Computer Modelling and Simulation.

[9]  Masao Isshiki,et al.  Networked home appliance system using Bluetooth technology integrating appliance control/monitoring with Internet service , 2003, IEEE Trans. Consumer Electron..

[10]  Chi-Huang Hung,et al.  Home appliance energy monitoring and controlling based on Power Line Communication , 2009, 2009 Digest of Technical Papers International Conference on Consumer Electronics.

[11]  Chih-Heng Ke,et al.  OSGi-Based Intelligent Context-Aware Middleware for Smart Home Appliances , 2010 .

[12]  Jane Yung-jen Hsu,et al.  Applying power meters for appliance recognition on the electric panel , 2010, 2010 5th IEEE Conference on Industrial Electronics and Applications.

[13]  Il-Woo Lee,et al.  More efficient home energy management system based on ZigBee communication and infrared remote controls , 2011, IEEE Transactions on Consumer Electronics.

[14]  Qian Zhang,et al.  A 2G-RFID-based e-healthcare system , 2010, IEEE Wireless Communications.

[15]  Wan-Ki Park,et al.  ZigBee based Dynamic Control Scheme for Multiple Legacy IR Controllable Digital Consumer Devices , 2007, IEEE Transactions on Consumer Electronics.

[16]  Z. Cihan Taysi,et al.  Environmental sound classification for recognition of house appliances , 2010, 2010 IEEE 18th Signal Processing and Communications Applications Conference.

[17]  M. Akbar,et al.  Modified Nonintrusive Appliance Load Monitoring For Nonlinear Devices , 2007, 2007 IEEE International Multitopic Conference.

[18]  Wan-Ki Park,et al.  Green Home Energy Management System through comparison of energy usage between the same kinds of home appliances , 2011, 2011 IEEE 15th International Symposium on Consumer Electronics (ISCE).

[19]  Stephen L. Chiu,et al.  Fuzzy Model Identification Based on Cluster Estimation , 1994, J. Intell. Fuzzy Syst..

[20]  A. Schoofs,et al.  Real-Time Recognition and Profiling of Appliances through a Single Electricity Sensor , 2010, 2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON).

[21]  H. Serra,et al.  Domestic power consumption measurement and automatic home appliance detection , 2005, IEEE International Workshop on Intelligent Signal Processing, 2005..

[22]  Seunghyun Park,et al.  Concurrent simulation platform for energy-aware smart metering systems , 2010, IEEE Transactions on Consumer Electronics.

[23]  Chin-Feng Lai,et al.  A Smart Appliance Management System with Current Clustering Algorithm in Home Network , 2011, GreeNets.

[24]  Kyeong-Deok Moon,et al.  Home energy management system based on power line communication , 2010, IEEE Transactions on Consumer Electronics.