A method for fault diagnosis and evaluation of drainage pipeline based on CCTV video image multivariate analysis

Abstract

The invention discloses a method for fault diagnosis and evaluation of drainage pipeline based on CCTV video image multivariate analysis. The method comprises the steps of: by using the CCTV detectionimage of pipeline defects with good quantities as the reference image, collecting CCTV images to be evaluated as sample images, calculating a luminance value L and a contrast value C of each CCTV image respectively, and comparing the values with the reference image, and then multiplying the calculated brightness value L and the contrast value C to obtain an image quality value Q, and using descriptive statistical analysis, PCA principal component analysis and RDA redundancy analysis to evaluate the CCTV diagnostic video. Finally, the visual data were used to evaluate the CCTV image quality and judge the pipeline defect type quality. The invention overcomes the shortcomings of simplicity of other evaluation methods and incomplete consideration, the evaluation result is more reliable, and the accuracy of the evaluation method is ensured.

Description

technical field [0001] The invention relates to the technical field of a drainage pipeline defect diagnosis and evaluation method, in particular to a drainage pipeline defect diagnosis and evaluation method based on multiple analysis of CCTV video images. Background technique [0002] With the continuous acceleration of the urbanization process, the urban population has continued to increase significantly, and the urban drainage load has also continued to increase. The existing drainage pipes were basically constructed in the last century, and some large-diameter trunk pipes have been built up to now. In the past 20 or 30 years of service, various defects have appeared inside the pipeline. Urban municipal engineering problems caused by pipeline defects have become prominent, such as: rupture, dislocation, leakage, corrosion, etc., especially structural defects such as rupture and dislocation will cause Sewage seeps out of pipes, polluting soil and water resources. At the sa...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a more reliable and reliable evaluation method for existing drainage pipeline detection methods, which have problems such as relatively simple evaluation methods, incomplete considerations, and low accuracy and reliability of evaluation results. A more accurate diagnosis and evaluation method for drainage pipeline defects based on multivariate analysis of CCTV video images

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