Author:
Yang Jinhu,Xiao Yong,Wang Jing,Jiao Fuai
Abstract
AbstractThe deformation and instability of slopes pose significant risks to national assets and the safety of people’s lives. Reasonable and reliable monitoring techniques are crucial for the prevention and management of slope instability. Conventional slope deformation monitoring techniques have drawbacks such as point-based monitoring, difficulty in maintenance, and high investment costs. The rapid development of video image processing technology has greatly driven the transformation of measurement techniques. Through research on equipment selection for image acquisition, supplementary lighting under low visibility conditions, subpixel edge detection techniques, video interference removal, development of monitoring software, and integration of field power supply systems, a high-precision slope displacement monitoring system based on video images has been developed. The system has been tested and verified for monitoring performance in both nighttime dark environments and daytime conditions. Field experiments were conducted at the Pan Gui Road Station slope of the extension project of Chongqing Rail Transit Line 4, and the deformation values and trends obtained by the system were consistent with the high-precision Leica total station monitoring data. The system enables non-contact, long-distance, and real-time online monitoring of slopes within a measurement range of 100 m, with a monitoring accuracy of about 1 mm, and has significant potential for widespread application.
Publisher
Springer Nature Singapore
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