Od skeniranja do BIM za mostove

The automatic generation of the BIM model of a bridge from point clouds is important for accurate monitoring and management of the structure. The integration of BIM with point cloud data offers a powerful method for capturing and analyzing the geometric properties of civil infrastructure, particularly bridges. This thesis explores the process of creating a BIM model from point cloud data, specifically focusing on the geometric representation of a bridge. Using appropriate tools, point cloud data obtained from 3D laser scanner was processed to generate a detailed 3D model. The methodology involves converting the raw data into a structured BIM format, enabling the extraction of precise geometric properties necessary for maintenance, engineering analysis, and optimization. The results demonstrate the accuracy and efficiency of point cloud-to-BIM conversion, emphasizing its potential to enhance bridge design, inspection, monitoring and lifecycle management. Challenges such as data density, noise, and the complexity of bridge components were addressed, leading to a refined approach that ensures a high degree of geometric fidelity. The findings highlight the practical benefits of this integration, providing a foundation for future developments in automated infrastructure modeling. This work underscores the significance of point cloud-based BIM in bridge engineering and suggests areas for further research to improve the process and expand its applications.

Publication Details

Journal
Repository of the University of Ljubljana (University of Ljubljana)
Published
2024-10-10
Primary Topic
Genetics, Bioinformatics, and Biomedical Research
Type
article
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article

Od skeniranja do BIM za mostove

Repository of the University of Ljubljana (University of Ljubljana)
Genetics, Bioinformatics, and Biomedical Research
article

Od skeniranja do BIM za mostove

article en

Abstract

The automatic generation of the BIM model of a bridge from point clouds is important for accurate monitoring and management of the structure. The integration of BIM with point cloud data offers a powerful method for capturing and analyzing the geometric properties of civil infrastructure, particularly bridges. This thesis explores the process of creating a BIM model from point cloud data, specifically focusing on the geometric representation of a bridge. Using appropriate tools, point cloud data obtained from 3D laser scanner was processed to generate a detailed 3D model. The methodology involves converting the raw data into a structured BIM format, enabling the extraction of precise geometric properties necessary for maintenance, engineering analysis, and optimization. The results demonstrate the accuracy and efficiency of point cloud-to-BIM conversion, emphasizing its potential to enhance bridge design, inspection, monitoring and lifecycle management. Challenges such as data density, noise, and the complexity of bridge components were addressed, leading to a refined approach that ensures a high degree of geometric fidelity. The findings highlight the practical benefits of this integration, providing a foundation for future developments in automated infrastructure modeling. This work underscores the significance of point cloud-based BIM in bridge engineering and suggests areas for further research to improve the process and expand its applications.

Repository of the University of Ljubljana (University of Ljubljana)
Industry, innovation and infrastructure
Openalex Percentile: Top 49%
Genetics, Bioinformatics, and Biomedical Research
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Od skeniranja do BIM za mostove · Repository of the University of Ljubljana (University of Ljubljana) (2024) | TGRS Research Map | TGRS