Citation

Duan B, He J, Qin S, Yan S, Chen Z. China Saf. Sci. J. 2022; 32: 64-69.

Copyright

(Copyright © 2022, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2022.S2.0046

PMID

unavailable

Abstract

In monitoring surface deformation of complex slopes, large hydropower projects faced problems such as limited monitoring range due to terrain, expensive equipment installation and operation, and incomplete monitoring point layout. In order to solve these problems, the GB-InSAR technology was used to carry out three-dimensional (3D), non-contact, and real-time monitoring on surface deformation of 100-meter high slopes. These slopes had complex geological conditions in hydropower projects. First, the synthetic aperture radar (SAR) was erected on the opposite side of the slope to be monitored. The collection frequency of monitoring data and warning values of monitoring were set. Then, an improved radar data noise reduction model based on 3D laser scanning technology was constructed to intelligently judge and screen abnormal data on site. Finally, the deformation monitoring results were obtained by data unwrapping and deformation analysis. The historical deformation and displacement data of the monitored area were queried in real time through cloud servers and artificial intelligence algorithms. The results show that compared with traditional monitoring technology, non-contact monitoring technology has a series of advantages, such as high resolution and high degree of automation. In addition, it is less restricted by terrain and other conditions and can effectively identify and penetrate the cover. Furthermore, submillimeter-level deformation can be identified in a short time. The established radar data noise reduction model can improve the visibility, effectiveness, and reliability of monitoring data. © 2022 China Safety Science Journal

Language: zh