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    Integrated energy monitoring and visualization system for Smart Green City development: Designing a spatial information integrated energy monitoring model in the context of massive data management on a web based platform

    241931_241931.pdf (1.892Mb)
    Access Status
    Open access
    Authors
    Kim, S.
    Shin, D.
    Choe, Y.
    Seibert, T.
    Walz, Steffen
    Date
    2012
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Kim, S. and Shin, D. and Choe, Y. and Seibert, T. and Walz, S. 2012. Integrated energy monitoring and visualization system for Smart Green City development: Designing a spatial information integrated energy monitoring model in the context of massive data management on a web based platform. Automation in Construction. 22: pp. 51-59.
    Source Title
    Automation in Construction
    DOI
    10.1016/j.autcon.2011.07.004
    ISSN
    0926-5805
    School
    School of Design and Art
    URI
    http://hdl.handle.net/20.500.11937/42266
    Collection
    • Curtin Research Publications
    Abstract

    U-Eco City is a research and development project initiated by the Korean government. The project's objective is the monitoring and visualization of aggregated and real time states of various energy usages represented by location-based sensor data accrued from city to building scale. The platform's middleware will retrieve geospatial data from a GIS database and sensor data from the individual sensory installed over the city and provide the browser-based client with the accommodated information suitable to display geo-location characteristics specific to the respective energy usage. The client will be capable of processing and displaying real time and aggregated data in different dimensions such as time, location, level of detail, mode of visualization, etc. The platform's middleware has been developed into an operative, advanced prototype, providing information to a Web-based client that integrates and interfaces with the Google Earth and Google Maps plug-ins for geospatially referenced energy usage visualization and monitoring.

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