Slope stability monitoring and landslide warning and forecasting method based on all-fiber sensor network

Abstract

The invention discloses a slope stability monitoring and landslide warning and forecasting method based on an all-optical fiber sensing network. A number of drill holes are drilled in a direction perpendicular to a potential sliding surface or a joint surface and a bedrock surface in the top and surface of a rocky soil slope. An all-optical fiber integrated gauging pipe is buried in each drill hole. All optical fibers are mutually welded to form the all-optical fiber sensing network which is connected with an optical fiber demodulator to measure the strain and temperature distribution of each optical fiber. On the basis of early monitoring results, the vertical strain eigenvalue of the slope is selected, and the safety factor of the slope is acquired. The empirical relationship between the vertical strain eigenvalue and the safety factor is acquired. According to the measured result of the vertical strain eigenvalue, the safety factor of the slope is estimated, and warning and forecasting of slope instability are realized. Based on the optical fiber monitoring data, the process of birth, occurrence and development of the potential sliding surface of the slope and the position of a multi-level potential sliding surface can be accurately identified.

Description

technical field [0001] The invention relates to the field of slope stability monitoring, in particular to a slope stability monitoring and landslide early warning and forecasting method based on an all-fiber sensor network. Background technique [0002] For geological disaster-prone areas, landslides have always been a roadblock that hinders economic development and social stability. Therefore, how to monitor slope deformation, instability prediction, and early warning has become a current research hotspot. The current displacement monitoring method for slopes And its characteristics are as follows: [0003] 1. Slope surface monitoring: Theodolite, total station, GPS, InSAR and other technologies are usually used for fixed-point slope surface monitoring, but the landslide body may have inconsistencies between the displacement of the slope surface and the internal displacement of the slope body. Monitoring data is not only affected by weather conditions, but also cannot trul...

AI Technical Summary

Problems solved by technology

The current applications at home and abroad mostly use fixed inclinometers and settlement meters with fiber Bragg gratings as sensing elements, or bury strain sensing optical fibers in the slope body along the vertical and horizontal directions, and the monitoring accuracy and sensitivity are affected by the installation. Due to the influence of process and surrounding environment changes, the advantages of optical fiber sensing technology in detecting sliding surfaces and evaluating slope stability cannot be fully utilized

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