研究目的
To improve the efficiency of crack detection of concrete bridge structures by proposing a new method based on computer vision technology and coordinate mapping.
研究成果
The proposed method efficiently locates and detects cracks in concrete bridge structures with high precision, facilitating periodic inspection and analysis of crack evolution.
研究不足
The method's precision is limited by the resolution of the image acquisition system and environmental factors like ambient light and air disturbance.
1：Experimental Design and Method Selection:
The crack measurement system integrates a high magnification image acquisition system, a two-dimensional electric cradle head device, and a laser ranging system. It establishes an observational coordinate system for mapping image coordinates to observation coordinates and then to world coordinates.
2：Sample Selection and Data Sources:
Marking points are pasted on a white wall to simulate crack center points. Images, angles, and distances are collected for processing.
3：List of Experimental Equipment and Materials:
Includes a high-resolution CCD camera, super telephoto lens, two-dimensional electric cradle head device, laser ranging system, and lighting system.
4：Experimental Procedures and Operational Workflow:
The system controls the cradle head device to aim at the bridge surface, collects data, processes coordinates, and saves images and data in a database.
5：Data Analysis Methods:
Uses sub-pixel edge detection and coordinate mapping for crack location and width calculation.
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