High-speed railway bad geological slope automatic monitoring method

By using GNSS technology and automated monitoring systems, the shortcomings of traditional manual monitoring methods have been overcome, enabling efficient and safe monitoring of adverse geological slopes along high-speed railways, providing early warning information, and preventing geological disasters.

CN118392023BActive Publication Date: 2026-06-19CHINA RAILWAY 19 BUREAU GRP CO LTD
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Patent Information

Application Number
CN202410249449.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-03-05
Publication Date
2026-06-19
Estimated Expiration
2044-03-05

AI Technical Summary

Technical Problem

Traditional manual deformation monitoring methods are difficult to meet monitoring quality requirements, involve a large amount of labor, are costly, and pose high safety risks, making them ineffective for monitoring the deformation of slopes with adverse geological conditions along high-speed railways.

Method used

GNSS technology was used to obtain the three-dimensional morphological features and artificial spoil characteristics of the adverse geological slope, determine the preset monitoring sections, and establish an automated monitoring system, including GNSS base stations, GNSS monitoring points, deep displacement monitoring equipment, stress monitoring equipment and rainfall monitoring equipment, to collect data in real time for monitoring slope geological deformation.

Benefits of technology

It has achieved automated monitoring of unfavorable geological slopes along high-speed railways, enabling timely monitoring of slope deformation, providing early warning information, preventing geological disasters, and ensuring safety.

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Abstract

This invention provides an automated monitoring method for adverse geological slopes along high-speed railways, comprising: acquiring a pre-defined monitoring section of an adverse geological slope along a high-speed railway using GNSS; determining the three-dimensional morphological features and artificial spoil characteristics of the adverse geological features based on the pre-defined monitoring section, wherein the three-dimensional morphological features include geological information and cross-sectional information of the pre-defined monitoring section, and the artificial spoil characteristics include the morphological information of the spoil formed by artificial spoil on the pre-defined monitoring section; determining a pre-defined monitoring cross-section of the pre-defined monitoring section based on the three-dimensional morphological features and the artificial spoil characteristics, wherein the pre-defined monitoring cross-section is the predicted cross-sectional location of a geological disaster occurring on the pre-defined monitoring section; establishing an automated monitoring system for the pre-defined monitoring section based on the pre-defined monitoring cross-section, and monitoring the adverse geological slope of the pre-defined monitoring section according to the automated monitoring system. This invention utilizes GNSS to monitor pre-defined monitoring sections of adverse geological slopes along high-speed railways, preventing disasters and ensuring safety.
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