Creating and Enriching Geometric Digital Twins for Pipe Systems: A Case Study Using Laser Scanning Point Clouds and Photos
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Conference Name
2022 European Conference on Computing in Construction
Type
Conference Object
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Pan, Y., Noichl, F., Alexander, B., Andre, B., & Brilakis, I. Creating and Enriching Geometric Digital Twins for Pipe Systems: A Case Study Using Laser Scanning Point Clouds and Photos. 2022 European Conference on Computing in Construction. https://doi.org/10.17863/CAM.82701
Abstract
An information-enriched digital twin for pipe systems is valuable for facility management and maintenance. Currently, the process of creating a twin of pipes requires much human effort and the available information is also very limited. In this paper, we propose a novel approach that can automatically create a geometric digital twin of pipes from laser scanned point cloud and enrich it with information extracted from photos, such as fluid type, fluid direction, etc. In our method, text detection is applied
to extract information on pipes in 2D images. Then photogrammetric point clouds are reconstructed and further used to map the extracted information from 2D camera photos into the 3D laser scanned point cloud. The final information-enriched digital twin contains geometric
information, semantic information, along with all information included in code-compliant pipe labels. We compare the output of our approach with the manually created model to prove our approach has convincing performance in pipe detection, pipe reconstruction and the recognition
of useful information from labels.
Sponsorship
Leverhulme Trust (IAF-2018-011)
Australian Research Council (DP170104613)
European Commission Horizon 2020 (H2020) Industrial Leadership (IL) (958398)
Embargo Lift Date
2023-03-21
Identifiers
External DOI: https://doi.org/10.17863/CAM.82701
This record's URL: https://www.repository.cam.ac.uk/handle/1810/335269
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