Surrounding rock fracture monitoring method and device based on borehole peeping

By integrating the depth camera and target recognition model in the drilling peeper, the cracks in the surrounding rocks in the roadway in the coal mine are automatically identified and analyzed, and the problem of difficult crack identification in human eye observation in the prior art is solved, and efficient and accurate crack monitoring is achieved.

CN119825342APending Publication Date: 2025-04-15CHINA COAL RES INST +1
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Patent Information

Application Number
CN202510092913.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-21
Publication Date
2025-04-15

AI Technical Summary

Technical Problem

In the prior art, drilling peeping imaging in coal mines depends on human eye observation, and is limited by low illumination and inconspicuous cracks, which makes it difficult to identify and measure cracks, and it is impossible to monitor the distribution of loose circles of surrounding rocks in a timely and accurate manner.

Method used

The drilling peeper is used to combine the depth camera and the trained target recognition model to obtain the depth image data at the distribution location of the loose circle in the surrounding rock of the tunnel, convert it into visual point cloud data, identify and analyze the crack point cloud information, and realize automatic and fast crack identification and monitoring.

Benefits of technology

It has escaped the limitations of traditional human eye observation, improved the accuracy and efficiency of crack identification, reduced manual intervention, and reduced operational difficulty, and provided technical support for the safe production and efficient mining of coal mines.

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Abstract

The invention provides a surrounding rock fracture monitoring method and device based on borehole peeping. The method comprises the following steps: acquiring depth image data of a rock stratum in a peephole at a loose circle distribution position in a roadway surrounding rock through a borehole peeping instrument; the drilling peeping instrument is integrated by a depth camera; according to the depth image data, obtaining visual point cloud data of a rock stratum in the peephole; based on the visual point cloud data, a trained target recognition model is adopted to recognize fractures of the rock stratum in the peephole, so that fracture point cloud information of the fractures in the rock stratum in the peephole is obtained; and analyzing the fracture point cloud information of the fracture to obtain target monitoring information of the fracture in the rock stratum in the peephole. According to the method, the drilling observation instrument is combined with the depth camera and the target identification model, automatic and rapid identification and analysis of the rock stratum fractures at the distribution positions of the loose circles in the surrounding rock of the roadway are achieved, monitoring of the rock stratum fractures is achieved, limitation of traditional human eye observation is eliminated, and powerful technical support is provided for safe production and efficient mining of a coal mine.
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