Assessment Method of Slope Excavation Quality based on Point Cloud Data

  • Zhiguo Pan
  • Yihong ZhouEmail author
  • Chunju Zhao
  • Chao Hu
  • Huawei Zhou
  • Yong Fan
Construction Management


Slope excavation quality assessment is essential in water conservancy engineering. This study presents a quality assessment method to estimate the excavation quality of a slope based on point cloud data obtained from a 3D Terrestrial Laser Scanner (TLS). A data processing method, which includes coordinate registration, data partitioning, and noise removal, is proposed to organize raw data from the TLS and ensure accurate and available point cloud data of a slope surface. An excavation quality assessment method with seven indicators, namely, slope ratio, slope toe elevation, back break, volume of back break, remained semi-void rate, unevenness, and offset degree, is proposed to analyze the difference between a slope’s as-design excavation appearance and actual construction appearance. The as-design excavation appearance is expressed by the Building Information Modeling (BIM) model of a slope-excavation face, and it is a reference to assess the actual construction appearance. The slope excavation quality of a water conservancy project in southwest China is evaluated with the proposed method and the traditional method. The results demonstrate that the proposed method can estimate the slope excavation quality effectively, rapidly, and accurately, and can provide theoretical data support for subsequent work.


slope excavation construction quality assessment point cloud data water conservancy project 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Bosché, F. and Guenet, E. (2014). “Automating surface faltness control using terrestrial laser scanning and building information models.” Autom. Constr., Vol. 44, pp. 212–226, DOI: 10.1016/j.autcon.2014.03.028.CrossRefGoogle Scholar
  2. DL/T 5255–2010 (2011). Technical specification of slope construction for hydropower and water conservancy project, China Water Conservanccy and Engineering Bureau Ltd. Fourth, China (in Chinese).Google Scholar
  3. Gordon, S. J. and Lichti, D. D. (2007). “Modeling terrestrial laser scanner data for precise structural deformation measurement.” J. Surv. Eng., Vol. 133, No. 2, pp. 72–80, DOI: 10.1061/(ASCE)0733-9453(2007) 133:2(72).CrossRefGoogle Scholar
  4. Hu, B. J. and Zhou, J. (2012). “Application of 3D terrestrial laser scanner in hydropower engineering.” Sichuan Water Power, Vol. 31, No. 3, pp. 69–70 (in Chinese).Google Scholar
  5. Hu, C., Zhou, Y. H., Zhao, C. J., and Pan, Z. G. (2015). “Slope excavation quality assessment and excavated volume calculation in hydraulic projects based on laser scanning technology.” Water Science and Engineering, Vol. 8, No. 2, pp. 164–173, DOI: 10.1016/j.wse.2015.03.001.CrossRefGoogle Scholar
  6. Hu, C., Zhou, Y. H., Zhao, C. J., Pan, Z. G., and Feng, C. C. (2014). “Slope excavation quality evaluation based on three-dimensional laser scan data.” Chinese Journal of Rock Mechanics and Engineering, Vol. 33, Supp. 2, pp. 3979–3984, DOI: 10.13722/j.cnki.jrme.2014.s2.074 (in Chinese).Google Scholar
  7. Kim, M. K., Cheng, J. C. P., Sohn, H., and Chang, C. C. (2015). “A framework for dimensional and surface quality assessment of precast concrete elements using BIM and 3D laser scanning.” Autom. Constr., Vol. 49, pp. 225–238, DOI: 10.1016/j.autcon.2014.07.010.CrossRefGoogle Scholar
  8. Kim, M. K., Sohn, H., and Chang, C. C. (2015). “Localization and quantification of concrete spalling defects using terrestrial laser scanning.” J. Comput. Civ. Eng., Vol. 29, No. 04014086, DOI: 10.1061/(ASCE)CP.1943-5487.0000415.Google Scholar
  9. Monserrat, O. and Crosetto, M. (2008). “Deformation measurement using terrestrial laser scanning data and least squares 3D surface matching.” ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 63, No. 1, pp. 142–154, DOI: 10.1016/j.isprsjprs.2007.07.008.CrossRefGoogle Scholar
  10. Olsen, M. J., Kuester, F., Chang, B. J., and Hutchinson, T. C. (2010). “Terrestrial laser scanning-based structural damage assessment.” J. Comput. Civ. Eng., Vol. 24, No. 3, pp. 264–272, DOI: 10.1061/(ASCE)CP.1943-5487.0000028.CrossRefGoogle Scholar
  11. Pan, Z. G., Zhao, C. J., Zhou, Y. H., and Hu, C. (2014). “Research of slope excavation face quality rapid assessment and practice in high arch dam.” Water Resources and Power, Vol. 32, No. 10, pp. 67–69 (in Chinese).Google Scholar
  12. Ramón, A. F., Celestino, O., Silverio, G. C., and Javier, R. P. (2013). “Measurement planning for circular cross-section tunnels using terrestrial laser scanning.” Autom. Constr., Vol. 31, pp. 1–9, DOI: 10.1016/j.autcon.2012.11.023.CrossRefGoogle Scholar
  13. Riveiro, B., DeJong, M. J., and Conde, B. (2016). “Automated processing of large point clouds for structural health monitoring of masonry arch bridges.” Autom. Constr., Vol. 72, pp. 258–268, DOI: 10.1016/j.autcon.2016.02.009.CrossRefGoogle Scholar
  14. Tuo, L., Kang, Z. Z., Xie, Y. C., and Wang B. Q. (2013). “Continuously vertical section abstraction for deformation monitoring of subway tunnel based on terrestrial point clouds.” Geomatics and Information Science of Wuhan University, Vol. 38, No. 2, pp. 171–185 (in Chinese).Google Scholar
  15. Wang, Q., Kim, M. K., Cheng, J. C. P., and Sohn, H. (2016). “Automated quality assessment of precast concrete elements with geometry irregularities using terrestrial laser scanning.” Autom. Constr., Vol. 68, pp. 170–182, DOI: 10.1016/j.autcon.2016.03.014.CrossRefGoogle Scholar
  16. Wang, Z. N. (2012). “High and steep slope excavation and quality control of Dandahe hydropower station.” Guangxi Water Resources & Hydropower Engineering, No. 6, pp. 45–49, DOI: 10.16014/j.cnki.1003-1510.2012.06.017 (in Chinese).Google Scholar
  17. Wu, J. C. and Guo J. T. (2012). “Criteria and evaluation of foundation face quality of Dagangshan arch dam.” Yangtze River, Vol. 43, No. 22, pp. 12–15 (in Chinese).Google Scholar
  18. Zhao, C. J., Pan, Z. G., Zhou, Y. H., and Hu, C. (2015). “Study on method of 3-D laser scanning technology-based assessment on high slope excavation quality.” Water Resource and Hydropower Engineering, Vol. 46, No. 11, pp. 39–45 (in Chinese).Google Scholar

Copyright information

© Korean Society of Civil Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Zhiguo Pan
    • 1
  • Yihong Zhou
    • 2
    Email author
  • Chunju Zhao
    • 2
  • Chao Hu
    • 3
  • Huawei Zhou
    • 2
  • Yong Fan
    • 4
  1. 1.College of Water Conservancy and Hydropower EngineeringHohai UniversityNanjingChina
  2. 2.College of Hydraulic and Environmental EngineeringChina Three Gorges UniversityYichangChina
  3. 3.China Renewable Energy Engineering InstituteBeijingChina
  4. 4.Hubei Key Laboratory of Construction and Management in Hydropower EngineeringChina Three Gorges UniversityYichangChina

Personalised recommendations