A Long-term Data Collection System for Life Pattern Sensor
Author(s) -
Noriyuki Kushiro,
Taichi Ide,
Makoto Katsukura,
Toshiyasu Higuma
Publication year - 2013
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2013.09.127
Subject(s) - computer science , waveform , data collection , term (time) , field (mathematics) , real time computing , power consumption , energy consumption , power (physics) , embedded system , electrical engineering , telecommunications , statistics , physics , mathematics , quantum mechanics , radar , pure mathematics , engineering
This paper describes a long-term filed data collection system from a person living house required for designing a life pattern sensor. The life pattern sensor is an activity recognition sensor both for measuring electric power consumption and detecting use of electronic devices by utilizing high-frequency electrical current waveform as a signature of each device. A prototype of the life pattern sensor has been developed and evaluated in five homes. The results show the life pattern sensor measured power consumption within 1% error and identified uses of devices with over 95% accuracy. The capability of the sensor is enough for realizing home energy management system.The long-term data collection system is constructed so as to collect annotated field data for sophisticating the sensor in practical level. In this paper, the overview of the data collecting system and discussion about the following questions based on the field data:1.Can current waveform be in stable at any conditions in a house?2.Can sequence of electronic devices describe residents’ real life pattern?3.Can residents manage energy efficiently by knowing their own life pattern
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