MATEC Web Conf.
Volume 108, 20172017 International Conference on Mechanical, Aeronautical and Automotive Engineering (ICMAA 2017)
|Number of page(s)||4|
|Section||Power System and Mechatronics|
|Published online||31 May 2017|
Status Checking System of Home Appliances using machine learning
1 University of Science and Technology, Information and Communication Network Technology, Daejeon, Republic of Korea
2 ETRI, Infrastructure Standard Research Section, Protocol Engineering Center, Deajeon, Republic of Korea
This paper describes status checking system of home appliances based on machine learning, which can be applied to existing household appliances without networking function. Designed status checking system consists of sensor modules, a wireless communication module, cloud server, android application and a machine learning algorithm. The developed system applied to washing machine analyses and judges the four-kinds of appliance’s status such as staying, washing, rinsing and spin-drying. The measurements of sensor and transmission of sensing data are operated on an Arduino board and the data are transmitted to cloud server in real time. The collected data are parsed by an Android application and injected into the machine learning algorithm for learning the status of the appliances. The machine learning algorithm compares the stored learning data with collected real-time data from the appliances. Our results are expected to contribute as a base technology to design an automatic control system based on machine learning technology for household appliances in real-time.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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