Abstract
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.
Highlights
Roof leakage is created by holes in PVC foil
When a hole appears on waters way in PVC foil, water infiltrates into structure
Noise size correspond with Ground Sample distance (GSD) of images
Summary
Roof leakage is created by holes in PVC foil. Water from rain falls on the roof and search the easiest way to drain away. Testing is performed on a small area with radius around 0,5 meter Advantage of this methods is precision localisation hole on small horizontal roof. Windy space causes changes of temperature in roof structure, seen on TIR images. High contrast on TIR images must be seen for further analysis. Processing of TIR images by SfM algorithm requires high contrast of radiant heat and high overlap. Problem solves combination TIR and RGB images captured at the same time by one device. Model reconstruction directly by SfM from TIR images has low geometric quality for improvement it is better to use Terrestrial Laser Scanner (TLS) for capturing geometric data. TIR images are processed by bundle adjustment and for façade thermal orthophoto is used geometric data from BIM. BEM helps for simulation heating energy efficient and prevent cash losses due to heating in winter. (Rakha et al, 2021) (Bayomi et al, 2021)
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