Intelligent identification method for crushing degree of tunnel surrounding rock

Through image processing technology, including image preprocessing, feature extraction, image segmentation and feature analysis, the problem of insufficient subjectivity, efficiency and accuracy in the determination of the degree of fracture of surrounding rock in tunnel is solved, and the automation and intelligent judgment of the degree of fracture of surrounding rock is realized, and the accuracy and efficiency of judgment is improved.

CN119648631APending Publication Date: 2025-03-18STATE KEY LAB OF SHIELD & TUNNELING TECH
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Patent Information

Application Number
CN202411592828.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-08
Publication Date
2025-03-18

AI Technical Summary

Technical Problem

Traditional manual identification methods have problems such as strong subjectivity, low efficiency and insufficient accuracy in the determination of the degree of fracture of surrounding rocks in tunnels, which are difficult to meet the needs of rapid construction.

Method used

Image processing technology is adopted, including image preprocessing, feature extraction, image segmentation and feature analysis, and through noise removal, image enhancement, edge detection, threshold segmentation and cracks, contrast and homogeneity analysis, it realizes automated and intelligent judgment of the degree of fracture of surrounding rock in the tunnel.

Benefits of technology

It improves the accuracy and efficiency of the degree of surrounding rock breakage, reduces manual intervention, achieves consistency and real-time results, and meets the rapid and accurate needs of engineering construction.

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Abstract

The invention discloses a tunnel surrounding rock breaking degree intelligent identification method, and relates to the technical field of geological engineering and image processing, and the method comprises the steps: image preprocessing, including noise removal and image enhancement; feature extraction, including edge detection; the image segmentation comprises threshold segmentation; feature analysis, including crack analysis, contrast analysis and homogeneity analysis; the method has the beneficial effects that the identification efficiency and accuracy can be effectively improved, and an important guarantee is provided for safe construction of tunnel engineering.
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