Method for detecting pipeline defects based on three-dimensional data points acquired through circle structured light vision detection

Abstract

A method for detecting pipeline defects based on three-dimensional data points acquired through circle structured light vision detection belongs to the field of nondestructive testing of defects of inner walls of pipelines. Section shapes and pipe wall appearances of the pipelines which serve as conveying means of common gases and liquid can greatly affect dynamic performances of flowing fluid. The method determines defects by utilizing structural features of three-dimensional data points acquired through a circle structured light vision detection system and using abrupt changes of a normal vector angle of two adjacent points on the same circle, and the determination method is simple and effective. The determination of pipeline defects is performed on the basis of three-dimensional data points acquired by the method instead of two-dimensional gray images, so that the accuracy rate and the precision are improved greatly.

Description

technical field [0001] The invention belongs to the field of pipeline defect detection. Background technique [0002] As a common means of transporting gases and liquids, pipes have a significant impact on the dynamic performance of flowing fluids due to their cross-sectional shape and pipe wall morphology. Pipeline inner wall defects, corrosion, damage during use, etc. have an important impact on production safety. Therefore, non-destructive testing of pipeline inner wall defects and early detection of defects are of great significance for reducing accidents and avoiding economic losses. At present, the defect detection methods for the inner surface of the pipeline mainly include: [0003] (1) Song Limei of Tianjin University and others based on the basic principle of recovering the three-dimensional shape from a single image, starting from the factors that affect the gray level, and according to the gray level information in the single measurement image, determine the rel...

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Problems solved by technology

[0007] 1) Judging pipeline defect detection based on image grayscale information cannot obtain high-precision depth information of defects, and will be affected by external factors such as pipeline material and illumination, and the defect detection accuracy is low

[0008] 2) The pipeline defect detection method based on the position sensor can obtain accurate three-dimensional information, but the measurement method is single-point detection, which requires multiple measurements of the scanning device to obtain accurate three-dimensional information of a pipeline section, which has complex scanning structures and low test efficiency Shortcomings

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