Monitoring Sluice Health in Vibration by Monocular Digital Photography and a Measurement Robot

  • Guojian Zhang
  • Chengxin Yu
  • Guangli GuoEmail author
  • Long Li
  • Yongqian Zhao
  • Huaizhan Li
  • Yaqiang Gong
Surveying and Geo-Spatial Engineering


This study uses monocular digital photography and a measurement robot (MDP&MR) to monitor the sluice vibration deformation in the gate lift test and in the sluicing test. The photographing scale transformation and time baseline parallax (PST-TBP) method is proposed in the field of monocular digital photography. Results show that the PST-TBP method improves measurement accuracy slightly. Measurement accuracies on the reference plane were 0.62 pixels (0.40 mm), 0.76 pixels (0.49 mm), and 1.10 pixels (0.71 mm) in the X, Z, and comprehensive-directions, respectively. The PST-TBP method overcomes the limitation that the photographing direction must be perpendicular to the sluice plane when monocular digital photography is used to monitor the sluice. MDP&MR proves an effective method in monitoring the sluice vibration deformation as MDP can be used to monitor the trend of the sluice vibration deformation and the MR allows high-accuracy monitoring of the short periodic deformation of the sluice. They have complementary advantages to achieve better results. Thus, MDP&MR can provide a new way to assess sluice health in vibration.


monocular digital photography (MDP) measurement robot (MR) vibration deformation sluice health PST-TBP method 


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  1. Basheer, L., Kropp, J., and Cleland, D. J. (2001). “Assessment of the durability of concrete from its permeation properties: A review.” Construction and Building Materials, Elsevier, Vol. 15, Nos. 2–3, pp. 93–103, DOI: Scholar
  2. Bock, Y. and Melgar, D. (2016). “Physical applications of GPS geodesy: A review.” Reports on Progress in Physics, Elsevier, Vol. 79, No. 10, p. 106801, DOI: Scholar
  3. Chan, T. H., Yu, L., Tam, H. Y., Ni, Y. Q., Liu, S., Chung, W., and Cheng, L. (2006). “Fiber Bragg grating sensors for structural health monitoring of Tsing Ma bridge: Background and experimental observation.” Engineering Structures, Elsevier, Vol. 28, No. 5, pp. 648–659, DOI: Scholar
  4. Cooper, M. and Robson, S. (1990). “High precision photogrammetric monitoring of the deformation of a steel bridge.” The Photogrammetric Record, WILEY, Vol. 13, No. 76, pp. 505–510, DOI: Scholar
  5. Cosser, E., Roberts, G. W., Meng, X., and Dodson, A. H. (2003). “Measuring the dynamic deformation of bridges using a total station.” Proc. 11th FIG Symposium on Deformation Measurements, Santorini, Greece, pp. 25–28.Google Scholar
  6. D’Apuzzo, N. (2002). “Surface measurement and tracking of human body parts from multi-image video sequences.” ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, Vol. 56, Nos. 5–6, pp. 360–375, DOI: Scholar
  7. Dhir, R., Hewlett, P., Byars, E., and Bai, J. (1994). “Estimating the durability of concrete in structures.” Concrete the Concrete Society, Vol. 28, No. 6, pp. 25–30.Google Scholar
  8. Feng, W. H. (2002). “Analytic processing method of close-range photos.” Close Range Photogrammetry: Photographic Determination of the Shape and Motion of Objects, Wuhan University Press, Wuhan, Hubei, China, pp. 116–139 (in Chinese).Google Scholar
  9. Hsu, C. C. J., Lu, M. C., and Lu, Y. Y. (2011). “Distance and angle measurement of objects on an oblique plane based on pixel number variation of CCD images.” IEEE Transactions on Instrumentation and Measurement, IEEE, Vol. 60, No. 5, pp. 1779–1794, DOI: Scholar
  10. Jiang, R., Jáuregui, D. V., and White, K. R. (2008). “Close-range photogrammetry applications in bridge measurement: Literature review.” Measurement, Elsevier, Vol. 41, No. 8, pp. 823–834, DOI: Scholar
  11. Psimoulis, P. A. and Stiros, S. C. (2013). “Measuring deflections of a short-span railway bridge using a robotic total station.” Journal of Bridge Engineering, ASCE, Vol. 18, No. 2, pp. 182–185, DOI: Scholar
  12. Remondino, F. (2002). “Image sequence analysis for human body reconstruction.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Eth Zurich Research Collection, Vol. 34, No. 5, pp. 363–368, DOI: Scholar
  13. Sinha, T. K., Dawant, B. M., Duay, V., Cash, D. M., Weil, R. J., Thompson, R. C., Weaver, K. D., and Miga, M. I. (2005). “A method to track cortical surface deformations using a laser range scanner.” IEEE Transactions on Medical Imaging, IEEE, Vol. 24, No. 6, pp. 767–781, DOI: Scholar
  14. Xu, F., Yu, C. X., Huang, G. L., and Liu, Y. G. (2001). “The monitor of steel structure bend deformation based on digital photogrammetry.” Geomatics and Information Science of Wuhan University, Vol. 26, No. 3, pp. 256–260, DOI: (in Chinese).Google Scholar
  15. Yanagi, H. and Chikatsu, H. (2011). “Factors and estimation of accuracy in digital close range photogrammetry using digital cameras.” Journal of the Japan Society of Photogrammetry and Remote Sensing, Vol. 50, No. 1, pp. 4–17, DOI: Scholar
  16. Yu, Y., Vo-Ky, C., Kodagoda S., and Ha, Q. P. (2010). “FPGA-based relative distance estimation for indoor robot control using monocular digital camera.” Journal of Advanced Computational Intelligence and Intelligent Informatics, Miar, Vol. 14, No. 6, pp. 714–721.CrossRefGoogle Scholar
  17. Zhang, G. J., Guo, G. L., Li, L., and Yu, C. X. (2018a). “Study on the dynamic properties of a suspended bridge using monocular digital photography to monitor the bridge dynamic deformation.” Journal of Civil Structural Health Monitoring, Vol. 8, No. 4, pp. 555–567, DOI: Scholar
  18. Zhang, G. J., Guo, G. L., Yu, C. X., and Li, L. (2018b). “Monitoring dynamic global deflection of a bridge by monocular digital photography.” Civil Engineering Journal-Stavebni Obzor, Vol. 27, No. 2, pp. 168–182, DOI: Scholar
  19. Zhang, G. J., Guo, G. L., Yu, C. X., and Li, L., Hu, S., and Wang, X. (2018c). “Monitoring instantaneous dynamic displacements of masonry walls in seismic oscillation outdoors by monocular digital photography.” Mathematical Problems in Engineering, Vol. 2018, No. 1, pp.1–15, DOI: Scholar
  20. Zhang, G. J., Guo, G. L., Yu, C. X., and Liu, S. Z. (2017). “Application of rapid photogrammetry system in the deformation observation of bridge.” Highway Highway Magazine, Vol. 62, No. 9, pp. 193–197 (in Chinese).Google Scholar

Copyright information

© Korean Society of Civil Engineers 2019

Authors and Affiliations

  • Guojian Zhang
    • 1
  • Chengxin Yu
    • 2
  • Guangli Guo
    • 1
    Email author
  • Long Li
    • 3
    • 4
  • Yongqian Zhao
    • 5
  • Huaizhan Li
    • 3
  • Yaqiang Gong
    • 3
  1. 1.NASG Key Laboratory of Land Environment and Disaster Monitoring & School of Environmental Science and Spatial InformaticsChina University of Mining and TechnologyXuzhouChina
  2. 2.School of BusinessShandong Jianzhu UniversityJi’nanChina
  3. 3.School of Environmental Science and Spatial InformaticsChina University of Mining and TechnologyXuzhouChina
  4. 4.Dept. of Geography & Earth System ScienceVrije Universiteit BrusselBrusselsBelgium
  5. 5.School of ScienceShandong Jianzhu UniversityJi’nanChina

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