Efficient Vision-based Smart Meter Reading Network

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Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/36012

Title:	Efficient Vision-based Smart Meter Reading Network
Authors:	Chen, CH (Chen, Ching-Han) Chen, CY (Chen, Ching-Yi) Hsia, CH (Hsia, Chih-Hsien) Wu, GX (Wu, Guan-Xin)
Contributors:	電機系
Keywords:	Big Data Gas Meter Gateway HTML5 Smart Meter-Reading Network
Date:	2017-01
Issue Date:	2017-04-26 15:42:52 (UTC+8)
Abstract:	For building the big data collection infrastructure, a vision-based smart meter-reading network and its gateway is provided for a community gas supply system that uses traditional mechanical meters. In the network architecture, the gas meter readings are captured by embedded image sensor nodes and then transmitted to a newly designed gateway for image recognition and are collected in the embedded database of gateway. The Web-based monitoring system designed using HTML5 is applicable to a mobile device which allows a user to monitor household gas consumption and history and allows a gas company to develop an effective energy management system to analyze community users' energy consumption models using the big data collected in the database.
Relation:	INTERNATIONAL JOURNAL OF WEB SERVICES RESEARCH 卷: 14 期: 1 頁碼: 44-58
Appears in Collections:	[Department of Electrical Engineering ] journal articles

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