Leakage inspection method of earth-rock embankment based on UAV with infrared and visible dual-light imaging
CSTR:
Author:
Affiliation:

(1.The National Key Laboratory of Water Disaster Prevention, Nanjing 210098, China;2.College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China )

Clc Number:

TV698.237

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    By introducing the detection mode of UAV-mounted infrared and visible dual-light imaging, the non-destructive and fast detection technique of earth-rock embankment leakage is proposed for the more intuitive and efficient leakage detection of earth-rock embankments. The altitude setting of a UAV is discussed considering the imaging effect of the dual light equipment. The implementation procedure of using UAV-mounted infrared and visible dual-light imaging to detect the leakage of earth-rock embankment project is proposed, and the site detection tests of actual project are carried out under various weather conditions. The results of the tests reveal that this detection method can effectively discover the slope leakage and piping in the earth-rock embankment, and it is simple, efficient, and intuitive, with good performance at night. This detection method is excellent for the leakage inspection of large-volume and long-linear embankment projects. The limitations of this method in the practical engineering such as being affected by complex ground conditions, temperature changes, and surface sensing are also discussed.

    Reference
    Related
    Cited by
Get Citation

周仁练,马佳佳,苏怀智.基于无人机载红外[XH50.]-可见双光成像的土石堤坝渗漏巡查方法[J].河海大学学报(自然科学版),2023,51(3):154-161.(ZHOU Renlian, MA Jiajia, SU Huaizhi. Leakage inspection method of earth-rock embankment based on UAV with infrared and visible dual-light imaging[J]. Journal of Hohai University (Natural Sciences),2023,51(3):154-161.(in Chinese))

Copy
Related Videos

Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:June 04,2022
  • Revised:
  • Adopted:
  • Online: June 04,2023
  • Published:
Article QR Code