OPTIMIZATION OF OBJECT MODELING USING POINT CLOUD DATA WITH BIM TECHNOLOGY
DOI:
https://doi.org/10.24867/30FA02DrcelicKeywords:
BIM, Revit, Dynamo, Point CloudAbstract
This paper explores the development and application of a semi-automated process for integrating Point Cloud data into BIM models, using the core functions of Revit software and the Dynamo plugin, with the support of free extensions. The research analyzes the technical advantages of this approach, as well as its impact on improving accuracy and efficiency in design and construction processes. Additionally, algorithms for modeling straight and curved walls were developed and tested, further confirming the functionality of the proposed system.
References
[1] Ntiyakunze, J., & Inoue, T. (2023). Segmentation of Structural Elements from 3D Point Cloud Using Spatial Dependencies for Sustainability Studies. Sensors, 23(4).
[2] Anagnostopoulos, I., Pătrăucean, V., Brilakis, I., & Vela, P. (2016). Detection of walls, floors, and ceilings in point cloud data. Construction Research Congress 2016.
[3] Macher, H., Landes, T., & Grussenmeyer, P. (2017). From point clouds to building information models: 3D semi-automatic reconstruction of indoors of existing buildings. Applied Sciences, 7(10).
[4] Yang, F., Pan, Y., Zhang, F., Feng, F., Liu, Z., Zhang, J., Liu, Y., & Li, L. (2023). Geometry and Topology Reconstruction of BIM Wall Objects from Photogrammetric Meshes and Laser Point Clouds. Remote Sensing, 15(11).
[2] Anagnostopoulos, I., Pătrăucean, V., Brilakis, I., & Vela, P. (2016). Detection of walls, floors, and ceilings in point cloud data. Construction Research Congress 2016.
[3] Macher, H., Landes, T., & Grussenmeyer, P. (2017). From point clouds to building information models: 3D semi-automatic reconstruction of indoors of existing buildings. Applied Sciences, 7(10).
[4] Yang, F., Pan, Y., Zhang, F., Feng, F., Liu, Z., Zhang, J., Liu, Y., & Li, L. (2023). Geometry and Topology Reconstruction of BIM Wall Objects from Photogrammetric Meshes and Laser Point Clouds. Remote Sensing, 15(11).
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Published
2025-02-09
Issue
Section
Architecture
