Alavi, H;
Chen, W;
Wang, M;
Kookalani, S;
Brilakis, I;
(2024)
Enhancing Building Maintenance Efficiency Through BIM-LIDAR Integration.
In:
Proceedings of the European Conference on Computing in Construction.
(pp. pp. 412-419).
European Council for Computing in Construction
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Abstract
Facility Maintenance Management constitutes a significant portion of building costs, emphasizing the need for innovative approaches to enhance efficiency. This paper introduces a novel methodology for transforming point cloud data into Industry Foundation Classes (IFC) models. This method involves a meticulous point cloud classification and a subsequent conversion into a visually appealing mesh representation. This mesh is then linked to IFC entities, enabling the creation of comprehensive and semantically rich BIM models. A case study on the Civil Engineering Building at the University of Cambridge demonstrates the methodology's effectiveness, showcasing improved visualization and supervision of maintenance tasks. The contribution lies in the refined point cloud classification, mesh conversion, and seamless integration with IFC, providing a novel and efficient solution to existing challenges. The results underscore the potential for revolutionizing maintenance practices in existing buildings.
Type: | Proceedings paper |
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Title: | Enhancing Building Maintenance Efficiency Through BIM-LIDAR Integration |
Event: | 2024 European Conference on Computing in Construction |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.35490/EC3.2024.291 |
Publisher version: | http://dx.doi.org/10.35490/ec3.2024.291 |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment |
URI: | https://discovery.ucl.ac.uk/id/eprint/10198477 |
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