Mapping Appliance States to High-Level Users’ Behavior based on Nonintrusive Load Monitoring Meter

• Main Authors: Chu, Chun-Mei, 朱春梅
• Other Authors: Tsao, Shiao-Li
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/62391621040560474801

碩士 === 國立交通大學 === 資訊科學與工程研究所 === 100 === In this paper, we design and implement an energy management system (EMS) consisting of a nonintrusive load monitoring (NILM) smarter meter, gateway, server and mobile device. The NILM smarter meter provides a low-cost solution to recognize the states of each appliance in the house and disaggregate the power consumptions of a house. The gateway is based on Open Service Gateway Initiative (OSGi) framework to provide services for servers and mobile devices such as Android pad. The Android application consists of four components: the settings set configuration of appliances and location, the monitor used to show the state of appliances in real-time and the charts of historic data, the management can set the maximum power consumption of a month by the inhabitants, and control used to control the appliances now or at the time that inhabitants configured. Based on the proposed EMS, we further implement a user behavior sharing service. Conventional user behavior detection relies on a large amount of sensors, complicated and expensive monitoring devices. However, such monitoring system suffers from deployment problem and intrusive monitoring concerns. Therefore, we consider detecting user behavior based on NILM smart meter which provides us a sequence of appliance usage patterns. We process sequential patterns of appliance usage and derive high level users’ behaviors.