Automated Visual Inspection Planning for Prefabricated Modules with 3D Laser Scanning
Publication: Construction Research Congress 2022
ABSTRACT
Modular construction offers an effective solution to schedule and quality problems in construction. However, if a defect on a module is identified on-site, it can easily cause problems and rework, leading to additional delays and cost overrun due to long lead time. Therefore, quality assessment of modular components is very important. There were many efforts to leverage 3D laser scanners (i.e., terrestrial) for inspection of building structures. These studies aimed at optimizing scanning locations while ensuring detailed scanning of the whole buildings. However, there was little to no research on leveraging 3D laser scanners for modular components that require scanning from the surrounding views. Therefore, this paper proposes a scan planning method that generates and optimizes scan locations for prefabricated components. The presented method creates the geometric relationship between the 3D BIM/CAD and the scanner’s properties (i.e., angular step, range, and field of view) to assess visibility and quality while evaluating best and optimal scan positions. The experimental results show that the proposed method can generate scan positions that meet the user requirement to the extent scanning is geometrically possible.
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REFERENCES
Biswas, H. K., Bosché, F., and Sun, M. (2015). “Planning for scanning using building information models: A novel approach with occlusion handling.” 32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings, (January).
Borrmann, D., de Rezende, P. J., de Souza, C. C., Fekete, S. P., Friedrichs, S., Kröller, A., Nüchter, A., Schmidt, C., and Tozoni, D. C. (2013). “Point guards and point clouds: Solving general art gallery problems.” Proceedings of the Annual Symposium on Computational Geometry, ACM, 347–348.
Bosché, F. (2012). “Plane-based registration of construction laser scans with 3D/4D building models.” Advanced Engineering Informatics, 26(1), 90–102.
Chen, M., Koc, E., Shi, Z., and Soibelman, L. (2018). “Proactive 2D model-based scan planning for existing buildings.” Automation in Construction, Elsevier B.V., 93, 165–177.
Dimitrov, A., and Golparvar-Fard, M. (2015). “Segmentation of building point cloud models including detailed architectural/structural features and MEP systems.” Automation in Construction, Elsevier, 51(C), 32–45.
Frías, E., Díaz-Vilariño, L., Balado, J., and Lorenzo, H. (2019). “From BIM to scan planning and optimization for construction control.” Remote Sensing, MDPI AG, 11(17).
Golparvar-Fard, M., Peña-Mora, F., Gutgsell Endowed Professor, J., Savarese, S., and Professor, A. (2009). “D4AR–a 4-dimensional augmented reality model for automating construction progress monitoring data collection, processing and communication.” Journal of information technology in construction 14.13 (2009): 129–153.
Guo, J., Wang, Q., and Park, J. H. (2020). “Geometric quality inspection of prefabricated MEP modules with 3D laser scanning.” Automation in Construction, Elsevier B.V., 111.
Han, K. K., and Golparvar-Fard, M. (2017). “Potential of big visual data and building information modeling for construction performance analytics: An exploratory study.” Automation in Construction, Elsevier B.V., 73, 184–198.
Kim, M. K., Sohn, H., and Chang, C. C. (2014). “Automated dimensional quality assessment of precast concrete panels using terrestrial laser scanning.” Automation in Construction, Elsevier B.V., 45, 163–177.
Nahangi, M., and Haas, C. T. (2014). “Automated 3D compliance checking in pipe spool fabrication.” Advanced Engineering Informatics, Elsevier Ltd, 360–369.
Nguyen, C. H. P., and Choi, Y. (2018). “Comparison of point cloud data and 3D CAD data for on-site dimensional inspection of industrial plant piping systems.” Automation in Construction, Elsevier B.V., 91, 44–52.
Son, H., Kim, C., and Kim, C. (2013). “Fully automated as-built 3D pipeline segmentation based on curvature computation from laser-scanned data.” Computing in Civil Engineering - Proceedings of the 2013 ASCE International Workshop on Computing in Civil Engineering, 765–772.
Soudarissanane, S., Lindenbergh, R., Menenti, M., and Teunissen, P. (2011). “Scanning geometry: Influencing factor on the quality of terrestrial laser scanning points.” ISPRS Journal of Photogrammetry and Remote Sensing, 66(4), 389–399.
Tam, V. W. Y., Fung, I. W. H., Sing, M. C. P., and Ogunlana, S. O. (2015). “Best practice of prefabrication implementation in the Hong Kong public and private sectors.” Journal of Cleaner Production, Elsevier Ltd, 109, 216–231.
Tang, P., and Alaswad, F. S. (2012). “Sensor modeling of laser scanners for automated scan planning on construction jobsites.” Construction Research Congress 2012: Construction Challenges in a Flat World, Proceedings of the 2012 Construction Research Congress, 1021–1031.
Xu, Z., Zayed, T., and Niu, Y. (2020). “Comparative analysis of modular construction practices in mainland China, Hong Kong and Singapore.” Journal of Cleaner Production, Elsevier Ltd, 245.
Zhang, C., and Tang, P. (2015). “A divide-and-conquer algorithm for 3D imaging planning in dynamic construction environments.” Proceedings of ICSC15: The Canadian Society for Civil Engineering 5th International/11th Construction Specialty Conference.
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Construction Research Congress 2022
Pages: 727 - 736
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Published online: Mar 7, 2022
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