ROOF LEAK DETECTION BY THERMOGRAPHY OF AS-BUILT BIM
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F22%3A00356605" target="_blank" >RIV/68407700:21110/22:00356605 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.5194/isprs-archives-XLVI-5-W1-2022-251-2022" target="_blank" >https://doi.org/10.5194/isprs-archives-XLVI-5-W1-2022-251-2022</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5194/isprs-archives-XLVI-5-W1-2022-251-2022" target="_blank" >10.5194/isprs-archives-XLVI-5-W1-2022-251-2022</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
ROOF LEAK DETECTION BY THERMOGRAPHY OF AS-BUILT BIM
Popis výsledku v původním jazyce
The horizontal roofs of industrial buildings are the weakest part of a structure. Imperfect design of horizontal roofs causes roof leakage. For roofs with a large surface area, locating leakage points is very difficult. The problem is solved by aerial thermography using drones. Modern high-resolution thermal cameras make it possible to detect roof leaks. By processing the RGB camera and thermal camera data, a thermal mesh model is created for implementation into the BIM. Building information models are data managers throughout the life cycle of buildings. BIM helps prevent clashes, improve collaboration and record building information from IOT devices. For building maintenance, the results of thermography need to be implemented in BIM. BIM managers create a roof repair plan based on the severity of the roof leakage. This paper proposes a methodology to implement the results of roof leak detection, starting from data collection and continuing with the processing of geometric and thermographic data and finalizes with implementation.
Název v anglickém jazyce
ROOF LEAK DETECTION BY THERMOGRAPHY OF AS-BUILT BIM
Popis výsledku anglicky
The horizontal roofs of industrial buildings are the weakest part of a structure. Imperfect design of horizontal roofs causes roof leakage. For roofs with a large surface area, locating leakage points is very difficult. The problem is solved by aerial thermography using drones. Modern high-resolution thermal cameras make it possible to detect roof leaks. By processing the RGB camera and thermal camera data, a thermal mesh model is created for implementation into the BIM. Building information models are data managers throughout the life cycle of buildings. BIM helps prevent clashes, improve collaboration and record building information from IOT devices. For building maintenance, the results of thermography need to be implemented in BIM. BIM managers create a roof repair plan based on the severity of the roof leakage. This paper proposes a methodology to implement the results of roof leak detection, starting from data collection and continuing with the processing of geometric and thermographic data and finalizes with implementation.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20101 - Civil engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLVI-5/W1-2022
ISBN
—
ISSN
2194-9034
e-ISSN
2194-9034
Počet stran výsledku
6
Strana od-do
251-256
Název nakladatele
ISPRS
Místo vydání
Munich
Místo konání akce
Prague
Datum konání akce
7. 2. 2022
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000861105900037