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INTEGRATION OF SPATIALLY ORIENTED DATA FROM IOT TO FACILITY MANAGEMENT AND BIM

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F23%3A00367578" target="_blank" >RIV/68407700:21110/23:00367578 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.5194/isprs-archives-XLVIII-5-W2-2023-31-2023" target="_blank" >https://doi.org/10.5194/isprs-archives-XLVIII-5-W2-2023-31-2023</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5194/isprs-archives-XLVIII-5-W2-2023-31-2023" target="_blank" >10.5194/isprs-archives-XLVIII-5-W2-2023-31-2023</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    INTEGRATION OF SPATIALLY ORIENTED DATA FROM IOT TO FACILITY MANAGEMENT AND BIM

  • Original language description

    With the increasing complexity of buildings and their facilities, integrating IoT infrastructure with digital building models has become essential. This integration allows facility managers to make informed decisions using spatially oriented sensor data, creating a digital twin of the building for more efficient resource management and problem-solving. This contribution reviews various case studies that demonstrate the potential of IoT-driven BIM models, showcasing approaches to optimize thermal comfort, HVAC performance, and building monitoring using GIS data and CFD simulations. To streamline these systems, the article introduces a proprietary classification system for IoT sensors and actors. Lastly, the paper presents a unique approach to integrating this classification system with BIM while managing spatial data, further enhancing the efficiency of facility management.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    ISPRS Archives

  • ISBN

  • ISSN

    2194-9050

  • e-ISSN

    2194-9050

  • Number of pages

    6

  • Pages from-to

    31-36

  • Publisher name

    ISPRS

  • Place of publication

    Munich

  • Event location

    Almaty

  • Event date

    Jun 15, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article