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Efficient Vision-based Smart Meter Reading Network

Author

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  • Ching-Han Chen

    (Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan)

  • Ching-Yi Chen

    (Department of Information and Telecommunications Engineering, Ming Chuan University, Taoyuan, Taiwan)

  • Chih-Hsien Hsia

    (Department of Electrical Engineering, Chinese Culture University, Taipei, Taiwan)

  • Guan-Xin Wu

    (Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan)

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.

Suggested Citation

  • Ching-Han Chen & Ching-Yi Chen & Chih-Hsien Hsia & Guan-Xin Wu, 2017. "Efficient Vision-based Smart Meter Reading Network," International Journal of Web Services Research (IJWSR), IGI Global, vol. 14(1), pages 44-58, January.
    • Handle: RePEc:igg:jwsr00:v:14:y:2017:i:1:p:44-58
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