ROOF LEAK DETECTION BY THERMOGRAPHY OF AS-BUILT BIM
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
ROOF LEAK DETECTION BY THERMOGRAPHY OF AS-BUILT BIM
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20101 - Civil engineering
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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
Number of pages
6
Pages from-to
251-256
Publisher name
ISPRS
Place of publication
Munich
Event location
Prague
Event date
Feb 7, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000861105900037