The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLVI-5/W1-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-5/W1-2022, 251–256, 2022
https://doi.org/10.5194/isprs-archives-XLVI-5-W1-2022-251-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-5/W1-2022, 251–256, 2022
https://doi.org/10.5194/isprs-archives-XLVI-5-W1-2022-251-2022

  03 Feb 2022

03 Feb 2022

ROOF LEAK DETECTION BY THERMOGRAPHY OF AS-BUILT BIM

D. Zahradník D. Zahradník
  • CTU, Czech Technical University in Prague, Faculty of Civil Engineering, Department of Geomatics, Thákurova 7, Praha 6, Czechia

Keywords: BIM, thermography, mesh model, roof leakage and Image registration

Abstract. 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.