吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (2): 516-524.doi: 10.13229/j.cnki.jdxbgxb201402038

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New method of real-time disaggregation and analysis of residential resource consumption events using infrastructure-mediated sensing

ZHOU Qiu-zhan1, HU Ji-kang1, LIU Ping-ping2, CHE Yao1, CHEN Yong-zhi1   

  1. 1. College of Communication Engineering, Jilin University, Changchun 130022, China;
    2. College of Computer Science and Technology, Jilin University, Changchun, 130022, China
  • Received:2013-01-02 Online:2014-02-01 Published:2014-02-01

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Abstract:

In order to analyze human activities accurately, a new analysis approach is proposed combining with real-time water and electrical events. First, applying infrastructure-mediated sensing technology, a system of sensing residential water and power consumption is designed to obtain the water and electrical usage data. Then, using the power spectrum vector chasing algorithm and k-Nearest Neighbor algorithm, working devices in the home can be recognized and classified according to the abundant of high electromagnetic interference noises generated during the switching of power supply devices. The fixtures in the home can be classified using sliding window technique and pattern recognition algorithm based on the inner product of vector. Via being deployed in real-houses, this approach successfully classifies consumption events in device-level with 95% accuracy. Finally, the analysis and post-process results can be transmitted to a clouding storage via internet. Disaggregated residential water and power consumption is the fundamental of energy monitoring and human activity analysis in a home.

Key words: information processing technology, human activities analysis, water and electrical events sensing, energy monitoring, infrastructure-mediated sensing

CLC Number: 

  • TN911.6

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