ZHOU Qiuzhan, CHEN Yongzhi, YOU Ziyue. Infrastructure-Mediated Sensing Based Home Appliances Monitoring System Using the EMI Characteristics[J]. Chinese Journal of Electronics, 2014, 23(3): 586-590.
Citation: ZHOU Qiuzhan, CHEN Yongzhi, YOU Ziyue. Infrastructure-Mediated Sensing Based Home Appliances Monitoring System Using the EMI Characteristics[J]. Chinese Journal of Electronics, 2014, 23(3): 586-590.

Infrastructure-Mediated Sensing Based Home Appliances Monitoring System Using the EMI Characteristics

Funds: This work is supported by the Fundamental Research Funds for the Central Universities (No.450060491080).
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  • Received Date: November 30, 2013
  • Revised Date: February 28, 2014
  • Published Date: July 04, 2014
  • An automatic monitoring system for home appliances using infrastructure-mediated sensing technology is presented. A practical solution for identifying the working states of electronic devices and determining the consumption of each device in a household is proposed. Initially, the components of Electromagnetic interference (EMI) noises in a residential power line are analyzed, and then the basic theory of Switched mode power supplies (SMPS) is discussed. Finally, a set of practical approaches has been proposed to detect and classify the electrical events, including a time-frequency transformation algorithm, power spectrum vector chasing, Gaussian function fitting and supervised pattern recognition, etc. The monitoring system has deployed into real houses and it successfully classifies SMPS devices with accuracy from 92.6% to 99.2% for individual devices and 88.0% to 95.0% for multiple devices.
  • J. Froehlich, E. Larson, S. Gupta, G. Cohn, M. Reynolds and S. Patel, "Disaggregated end-use energy sensing for the smart grid", Pervasive Computing, IEEE, Vol.10, No.1, pp.28-39, 2011.
    D. J. Cook, "How smart is your home?", Science, Vol.335, No.6076, pp.1579-1581, 2012.
    J. Lifton, M. Feldmeier, Y. Ono, C. Lewis and J. A. Paradiso, "A platform for ubiquitous sensor deployment in occupational and domestic environments", IPSN 2007 6th International Symposium on Information Processing in Sensor Networks, IEEE, pp.119-127, 2007.
    G. W. Hart, "Nonintrusive appliance load monitoring", Proceedings of the IEEE. Vol.80, No.12, pp.1870-1891, 1992.
    J. Froehlich, E. Larson, T. Campbell, C. Haggerty, J. Fogarty and S. N. Patel, "HydroSense: Infrastructure-mediated singlepoint sensing of whole-home water activity", Proceedings of the 11th ACM international conference on Ubiquitous computing, pp.235-244, 2009.
    S. Gupta, M. S. Reynolds and S. N. Patel, "ElectriSense: Singlepoint sensing using EMI for electrical event detection and classification in the home", Proceedings of the 12th ACM international conference on Ubiquitous computin, ACM, pp.4-10, 2010.
    J.Z. Kolter, S. Batra, A.Y. Ng, "Energy disaggregation via discriminative sparse coding", Neural Information Processing Systems, pp.139-148, 2010.
    G. Marubayashi and S. Tachikawa, "Spread spectrum transmission on residential power line", IEEE 4th International Symposium on Date of Conference, Vol.3, pp.1082-1086, 1996.
    D. Liu, E. Flint, B. Gaucher and Y. Kwark, "Wide band AC power line characterization", IEEE Transactions on Consumer Electronics. Vol.45, No.4, pp.1087-1097, 1999.
    G. Antonini, S. Cristina and Orlandi, "A EMC characterization of SMPS devices: Circuit and radiated emissions model", IEEE Transactions on Electromagnetic Compatibility. Vol.38, No.3, pp.300-309, 1996.
    M. Ledvij, "Curve fitting made easy", Industrial Physicist, Vol.9, No.2, pp.24-27, 2003.
    W. Lee, G. Fung, H. Lam, F. Chan and M. Lucente, "Exploration on load signatures", International conference on electrical Engineering (ICEE), pp.10-16, 2004.
    P. Welch, "The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified period grams", IEEE Transactions on Audio and Electroacoustics, Vol.15, No.2, pp.70-73, 1967.
    S. Wold, "Pattern recognition by means of disjoint principal components models", Pattern recognition, Vol.8, No.3, pp.127- 139, 1976.
    M. Chetty, D. Tran and R. E. Grinter, "Getting to green: Understanding resource consumption in the home", Proceedings of the 10th ACM International Conference on Ubiquitous Computing, pp.242-251, 2008.
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