An automatic inspection method and system for internal defects of a large-diameter tunnel wall
By combining active acoustic excitation and high-precision acoustic response analysis with flexible mechanical structures and electric leveling mechanisms, the problem of automatic inspection of internal defects in large-diameter tunnel walls has been solved, achieving efficient and accurate detection of internal defects and improving detection efficiency and stability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-28
- Publication Date
- 2026-07-17
AI Technical Summary
Existing automated inspection robot systems struggle to effectively identify hidden defects inside large-diameter tunnel walls, such as peeling, voids, and internal cracks. Furthermore, sensors cannot maintain a constant distance when the tunnel cross-section changes, affecting the accuracy and consistency of the inspection data.
By employing active acoustic excitation and high-precision acoustic response analysis, combined with a flexible mechanical structure and an electric leveling mechanism, echo signals are collected through an acoustic sensor array, and defect detection is performed using a support vector machine or a shallow convolutional neural network, thus achieving automatic inspection of internal defects in large-diameter tunnel walls.
It enables efficient detection of internal defects such as peeling, voids, and cracks, improving detection accuracy and consistency, increasing detection efficiency and stability, and possessing real-time data analysis and automatic navigation capabilities.
Smart Images
Figure CN122409874A_ABST
Abstract
Citation Information
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