Air bubble detection method for air tightness test

Abstract

The invention relates to an air bubble detection method for an air tightness test. The method comprises the following steps: a camera carries out shooting; inter-frame difference method comparison is carried out on an image; clustering analysis is carried out on coordinate points of a frame difference pixel; a frame difference image NewDiffImg is obtained; analysis in a centroid distance variance method is carried out; radius and roundness error values are compared; the leakage rate is obtained and the like. Compared with the prior art, the method has the following beneficial effects that a computer vision technology is used for detecting air bubbles in a pressure container air tightness test, the camera is directly used for acquiring the image, the operation is simple, the cost is greatly reduced in comparison with the fact that an expensive device such as a fiber probe and an electron probe acquires physical parameters, impurities whose shapes are similar to air bubbles can be well eliminated, the image is shot from the water surface of a detection pool, the air leakage position can be positioned, and accuracy of the detection result can be improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a bubble detection method used in an air tightness test. Background technique [0002] In recent years, the number of pressure vessel manufacturers has increased year by year, and the output of steel cylinders has also continued to increase. In order to improve the efficiency of inspection and inspection in the production process, researchers and engineers at home and abroad have developed various inspection and inspection systems, equipment or devices for Various inspection links in the production process of steel cylinders, such as online hardness testing system, online ultrasonic testing system, automatic hydraulic external testing system, etc. These systems or devices reduce the influence of personnel factors on the testing results and effectively improve the testing efficiency , accuracy and reduced production costs. [0003] In the air tightness testin...

AI Technical Summary

Problems solved by technology

[0007] To sum up, there are still some deficiencies in the current air bubble detection methods: (1) Most of the existing solutions use fiber optic probes, electronic probes and other expensive equipment to collect physical parameters, which makes the detection cost (2) In the existing schemes, most of them did not take into account the interference of the surrounding environment, and impurities similar to bubbles could not be well excluded; (3) In the existing schemes, most of them used side-viewing detection pools to record The process of bubble generation, focusing on theoretical research, analyzing the conditions and development process of bubble generation, the real-time detection performance of the algorithm is not good, and it is difficult to locate the leak location due to side shooting

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