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Performance evaluation of automated 3D image-scan-based reverse engineering in architectural MEP pipe object modeling

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Abstract

This study aims to analyze the productivity of automatic 3D reverse engineering for architectural mechanical, electrical and plumbing (MEP) pipe objects modeling. Recently, 3D image scan-based reverse engineering is emerging technology in facility management, operation domain. However, because a large amount of scanned point cloud data is so complex and difficult, it requires manual task additionally. Manual-based reverse engineering occurs low-productivity, data loss and error. We suggest the process of automatic 3D reverse engineering work for modeling pipeline which occupies the largest part of MEP phase. Furthermore, this study analyzes the productivity effect related to the proposed method. The results show that the productivity is improved from 118 to 162% (average work effectiveness: 141%).

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References

  1. Lee, M. N. (2013). A study on scan data matching for reverse engineering for pipes in plant construction. Master thesis, SungKyunKwan University.

  2. Kang, T. W. (2014). System architecture for effective point cloud-based reverse engineering of architectural MEP pipe object. Journal of the Korea Academia-Industrial Cooperation Society, 15(9), 5870–5876.

    Article  Google Scholar 

  3. Lee, S. S., & Kwon, S. W. (2014). A study on optimal laser scanning method for reverse engineering at interior remodeling project. Journal of Korea Institute of Construction Engineering and Management, 15(3), 3–11.

    Article  Google Scholar 

  4. Yoo, J. H. (2013). A study on reverse design of wooden architectural heritage using terrestrial LiDAR. Master thesis, CheongJu University.

  5. Xiong, X., Adan, A., Akinci, B., & Huber, D. (2013). Automatic creation of semantically rich 3D building models from laser scanner data. Automation in Construction, 31, 325–337.

    Article  Google Scholar 

  6. Cabaleiro, M., Riveiro, B., Arias, P., Caamano, J. C., & Vilan, J. A. (2014). Automatic 3D modelling of metal frame connections from LiDAR data for structural engineering purposes. ISPRS Journal of Photogrammetry and Remote Sensing, 96, 47–56.

    Article  Google Scholar 

  7. Bhatla, A., Choe, S. Y., Fierro, O., & Leite, F. (2012). Evaluation of accuracy of as-built 3D modeling from photos taken by handheld digital cameras. Automation in Construction, 28, 116–127.

    Article  Google Scholar 

  8. Murphy, K., van Ginneken, B., Klein, S., Staring, M., de Hoop, B. J., Viergever, M. A., et al. (2011). Semi-automatic construction of reference standards for evaluation of image registration. Medical Image Analysis, 2(2), 31–34.

    Google Scholar 

  9. Kiraci, E., Turley, G. A., Attridge, A., Olifent, A., & Williams, M. A. (2016). Evaluating the capability of laser scanning to measure an automotive artefact: A comparison study of touch trigger probe and laser-scanning. International Journal of Productivity and Quality Management, 18(4), 440–455.

    Article  Google Scholar 

  10. Kim, M. S., & Jang, I. S. (2016). Design and implementation of 3D geospatial open platform based on HTML5/WebGL technology. Korea Spatial Information Society, 23(6), 57–66.

    Article  Google Scholar 

  11. Ryu, J. R., Mun, S. K., & Choo, S. Y. (2016). Study on the development and utilization of indoor spatial information visualization tool using the open BIM based IFC model. Korea Spatial Information Society, 23(5), 41–52.

    Article  Google Scholar 

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Acknowledgements

This work was supported by the 3D Object Reverse engineering based MEP Facility Management System of the Korea Institute for Advancement of Technology (KIAT) and the Road management/operational efficiency methods using UAV(drone) of the Ministry of Land, Infrastructure and Transport.

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Authors and Affiliations

  1. ICT Convergence and Integration Research Division, Korea Institute of Civil Engineering and Building Technology, Gyeonggi-do, South Korea

    Taewook Kang

  2. MTM Digital Construction, Seoul, South Korea

    Bangho Gwon

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  1. Taewook Kang
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  2. Bangho Gwon
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Correspondence to Taewook Kang.

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Kang, T., Gwon, B. Performance evaluation of automated 3D image-scan-based reverse engineering in architectural MEP pipe object modeling. Spat. Inf. Res. 24, 701–708 (2016). https://doi.org/10.1007/s41324-016-0066-2

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  • DOI: https://doi.org/10.1007/s41324-016-0066-2

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