Closed conduit structure defect detection method based on image processing

Abstract

The invention relates to a closed conduit structure defect detection method based on image processing, and relates to the technical field of drainage system structure defect detection.The method comprises the steps that video images, collected by image collection equipment, in a closed conduit are obtained in real time, and the video images are processed into image frames through an image processing module; analyzing the image frames, determining whether structural defects and functional defects exist in the image frames or not, and determining defect types when the structural defects and / or the functional defects exist; when the image analysis module determines that the defect types are completed, structure defect parameters and function defect parameters corresponding to the defect types are determined through a defect determination module; the data calculation module determines a closed conduit damage evaluation value according to the structural defect parameters and the functional defect parameters; and the defect determination module obtains the hidden danger outside the closed conduit obtained by the ground geophysical prospecting equipment, and determines whether to adjust the closed conduit damage evaluation value according to the data of the hidden danger outside the closed conduit, so that the accuracy of closed conduit detection is improved.

Description

technical field [0001] The invention relates to the technical field of detection of structural defects in drainage systems, in particular to an image processing-based method for detecting structural defects in culverts. Background technique [0002] As an important structure of urban or urban underground drainage system, culverts ensure the safety of people's lives and property through their stable operation. However, culverts are generally underground and prone to blockage, and if there are structural defects, it is difficult to find them. . [0003] Due to the development needs of modernization, in the process of urban construction and renovation, underground engineering activities are frequent, which has caused varying degrees of impact on underground drainage facilities such as culverts. In order to ensure the continuous and healthy operation of the drainage system, prevent ground subsidence accidents, and ensure people's lives In order to ensure the safety of property,...

AI Technical Summary

Problems solved by technology

[0006] For this reason, the present invention provides an image processing-based detection method for underdrain structural defects, to overcome the problem in the prior art that only internal detection is performed and the accuracy of underdrain evaluation results is not high

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