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http://dx.doi.org/10.5762/KAIS.2017.18.8.55

A Study on the Smart Home Safety Management System Based on NIALM  

Jeong, Han-Sang (Division of Computer Engineering, Gachon University)
Sung, Kyung-Sang (Itnade Co. ltd.)
Oh, Hae-Seok (Division of Computer Engineering, Gachon University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.18, no.8, 2017 , pp. 55-63 More about this Journal
Abstract
Due to spatial problems and system size,conventional measurement methods used to acquire the information needed for existing electrical energy and management have been limited to new buildings or areas where replacement is possible. This electric load management method is problematic when applying it to energy and safety management of vulnerable areas or existing homes or offices. The problem with installing a measurement module in every branch is that the system is too large. Even if the measurement module is installed, the type of load is not recognized, and efficient management is not performed. In particular, it is very difficult to apply it to traditional markets and backward facilities in Korea. In this paper, we apply NIALM technology and arc detection technology to solve these problems and verify the feasibility of NIALM for normal arc generation. Also, based on the verification results, we propose a new smart home safety management system that can effectively manage electrical safety and that can be applied to conventional market and existing home safety management systems. The proposed system conducts a comparative performance test with an existing safety management system. In addition, it achieves 95% or more load recognition for four loads, which is impossible in 40% of the existing systems, and the arc detection function was confirmed.
Keywords
arc detection; distribution board; feature analysis; Fourier transform; harmonic wave; non-intrusive load monitoring; wavelet transform; smart grid;
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Times Cited By KSCI : 2  (Citation Analysis)
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