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  Volume 5, Number 2, April 2020, pages 127-146
DOI: https://doi.org/10.12989/acd.2020.5.2.127
 


A semi-automated method for integrating textural and material data into as-built BIM using TIS
Asem Zabin, Baha Khalil, Tarig Ali, Jamal A. Abdalla and Ahmed Elaksher

 
Abstract
    Building Information Modeling (BIM) is increasingly used throughout the facility's life cycle for various applications, such as design, construction, facility management, and maintenance. For existing buildings, the geometry of as-built BIM is often constructed using dense, three dimensional (3D) point clouds data obtained with laser scanners. Traditionally, as-built BIM systems do not contain the material and textural information of the buildings' elements. This paper presents a semi-automatic method for generation of material and texture rich as-built BIM. The method captures and integrates material and textural information of building elements into as-built BIM using thermal infrared sensing (TIS). The proposed method uses TIS to capture thermal images of the interior walls of an existing building. These images are then processed to extract the interior walls using a segmentation algorithm. The digital numbers in the resulted images are then transformed into radiance values that represent the emitted thermal infrared radiation. Machine learning techniques are then applied to build a correlation between the radiance values and the material type in each image. The radiance values were used to extract textural information from the images. The extracted textural and material information are then robustly integrated into the as-built BIM providing the data needed for the assessment of building conditions in general including energy efficiency, among others
 
Key Words
    As-Built BIM; building materials; thermal infrared imaging; thermography; texture extraction; feature technology; information visualization; machine learning
 
Address
Asem Zabin, Tarig Ali, Jamal A. Abdalla: Department of Civil Engineering, American University of Sharjah, Sharjah, UAE
Baha Khalil: Department of Mathematics and Statistics, American University of Sharjah, Sharjah, UAE
Ahmed Elaksher: New Mexico State University, Las Cruces, New Mexico, United States of America
 

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