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    Internet of Things Enabled Data Acquisition Framework for Smart Building Applications

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 002::page 04020169
    Author:
    Xinghua Gao
    ,
    Pardis Pishdad-Bozorgi
    ,
    Dennis R. Shelden
    ,
    Shu Tang
    DOI: 10.1061/(ASCE)CO.1943-7862.0001983
    Publisher: ASCE
    Abstract: With the networks of sophisticated sensors and devices, building systems have the potential to serve as the infrastructure that provides essential data for the Internet of Things (IoT)-enabled smart city paradigm. However, current building systems lack intersystem connectivity or exposure to the more extensive networks of IoT devices. In this paper, the authors propose an IoT-enabled data acquisition framework that utilizes low-cost computers, sensors modules, developed software agents, and the existing building Wi-Fi network to establish a central facility database. A system prototype is developed for collecting and integrating facility data, and a case study on a university campus is conducted to demonstrate the proposed framework. The potential use cases enabled by the central facility database, the integration of building information modeling (BIM) standards and building system data protocols, a vision for future smart cities, and the challenges are also discussed. This research concludes that the proposed framework is effective in using IoT devices and networks to establish a cost-effective, platform-neutral, scalable, and portable building data acquisition system for smart building innovations.
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      Internet of Things Enabled Data Acquisition Framework for Smart Building Applications

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4269701
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    contributor authorXinghua Gao
    contributor authorPardis Pishdad-Bozorgi
    contributor authorDennis R. Shelden
    contributor authorShu Tang
    date accessioned2022-01-30T22:49:51Z
    date available2022-01-30T22:49:51Z
    date issued2/1/2021
    identifier other(ASCE)CO.1943-7862.0001983.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4269701
    description abstractWith the networks of sophisticated sensors and devices, building systems have the potential to serve as the infrastructure that provides essential data for the Internet of Things (IoT)-enabled smart city paradigm. However, current building systems lack intersystem connectivity or exposure to the more extensive networks of IoT devices. In this paper, the authors propose an IoT-enabled data acquisition framework that utilizes low-cost computers, sensors modules, developed software agents, and the existing building Wi-Fi network to establish a central facility database. A system prototype is developed for collecting and integrating facility data, and a case study on a university campus is conducted to demonstrate the proposed framework. The potential use cases enabled by the central facility database, the integration of building information modeling (BIM) standards and building system data protocols, a vision for future smart cities, and the challenges are also discussed. This research concludes that the proposed framework is effective in using IoT devices and networks to establish a cost-effective, platform-neutral, scalable, and portable building data acquisition system for smart building innovations.
    publisherASCE
    titleInternet of Things Enabled Data Acquisition Framework for Smart Building Applications
    typeJournal Paper
    journal volume147
    journal issue2
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0001983
    journal fristpage04020169
    journal lastpage04020169-15
    page15
    treeJournal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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