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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20205 - Automation and control systems

Projekt

—

Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

ISPRS Archives

ISBN

—

ISSN

2194-9050

e-ISSN

2194-9050

Počet stran výsledku

6

Strana od-do

31-36

Název nakladatele

ISPRS

Místo vydání

Munich

Místo konání akce

Almaty

Datum konání akce

15. 6. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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