Landslide crack evolution monitoring method and device based on weak scattered wave imaging

By combining the in-phase axis fitting formula of the scattering wave in the tilt domain with the global signal search algorithm, dynamic and precise identification of landslide cracks is achieved, which solves the problem of insufficient identification ability of traditional methods in identifying shallow underground structures and improves the early warning capability of landslide disasters.

CN121721706AActive Publication Date: 2026-03-24CHINA UNIV OF MINING & TECH (BEIJING)
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-16
Publication Date
2026-03-24

AI Technical Summary

Technical Problem

Traditional methods struggle to identify early abnormal evolution of shallow and medium-depth underground structures in real time, especially in mountainous areas where landslides are frequent. Existing technologies are also unable to effectively utilize scattered wave imaging to identify landslide cracks.

Method used

An objective function based on the in-phase axis fitting formula of the scattering wave in the tilt domain is constructed. Combined with the global signal search algorithm and the scattering wave energy truncation algorithm, the optimal energy superposition path search and the energy truncation of noise imaging points are carried out to achieve dynamic and fine identification of shallow to middle layer cracks.

Benefits of technology

It improves the resolution and stability of scattered wave imaging, enabling dynamic identification of hidden underground structures during the landslide incubation period and enhancing the early warning level of landslide disasters.

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Abstract

The invention provides a landslide crack evolution monitoring method and device based on weak scattered wave imaging, and relates to the technical field of geological disaster early warning and earthquake high-resolution imaging, and the method comprises the steps: obtaining scattered wave field data in common offset seismic data of a target region; according to a preset dip angle domain scattered wave event fitting formula, searching an optimal energy superposition path of each imaging point in a dip angle gather corresponding to the scattered wave field data under energy symmetry constraint according to a target function constructed by taking maximum superposition energy as a target, and obtaining a target energy value of each imaging point; and performing energy truncation on noise imaging points in the imaging points through the energy distribution curve to obtain a target imaging result of the landslide crack evolution structure of the target area. In this way, by searching the optimal energy superposition path and combining with an energy truncation algorithm based on an energy distribution curve, scattered wave signals are extracted and superposed, and dynamic fine recognition of cracks from the shallow layer to the middle layer is achieved.
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Citation Information

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