Metal surface defect image recognition non-destructive testing device and method

Abstract

The invention discloses a metal surface defect image recognition non-destructive testing device and method, and relates to the field of automatic metal surface defect testing. The device comprises a mobile unit, a light sensation unit, a light source unit, an optical amplification unit, an image acquisition unit, an image analysis unit, a data storage unit and an alarm unit, wherein the light sensation unit and the light source unit ensure suitable brightness of an acquired image in a tested area, the optical amplification unit is used for optically amplifying the acquired image, the image acquisition unit acquires the image, the image analysis unit analyzes the acquired image in the tested area and judges whether defects exist or not, the data storage unit stores data needed by running ofthe device, the acquired image and analysis results, and the alarm unit gives an alarm for a tested problem area. Metal surfaces can be full-automatically tested, the tested area is large, the testing method is simple and rapid, and testing time and labor cost are reduced.

Description

technical field [0001] The invention relates to the field of automatic detection of metal surface defects, in particular to an image recognition non-destructive detection device and method for metal surface defects. Background technique [0002] In the ship system, the inspection of the cracks and corrosion of the hull is of great significance to ensure the safety of the hull. In nuclear power systems, it is essential to check the cracks and corrosion of reactor containment to ensure nuclear safety. In the subway system, the inspection of track damage and cracks is also essential to ensure the safe operation of trains. [0003] Metal surface defects, such as cracks, corrosion and other defects, are huge safety hazards for metal materials and metal equipment. Regular detection of metal surface defects is of great significance to the safety of equipment and structures. [0004] The traditional inspection method is generally through the on-site visual inspection of the staff ...

AI Technical Summary

Problems solved by technology

[0004] The traditional inspection method is generally through the on-site visual inspection of the staff or the image taken by the camera, and the staff watches the inspection remotely. The above detection method not only takes a long time to detect, but also has high labor costs. The detection effect is greatly affected by the proficiency of the staff and the degree of work fatigue. For metal surface defects such as tiny cracks and slight rust, it is easy to miss inspection

For some electrochemical and infrared detection methods, the equipment is relatively complicated and the conditions are high, and it is not suitable for the detection of large areas or large equipment

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