Overhead line system insulator state detection method based on robust principal component analysis method

Abstract

The invention discloses an overhead line system insulator state detection method based on a robust principal component analysis method. An insulator sample data set is established according to the acquired images of the overhead line system support and suspension device, and a Mask-RCNN convolutional neural network is adopted to perform target detection and segmentation, and therefore, the positions of insulators in the images can be positioned, and the insulators can be segmented; the minimum external moment of the insulators is calculated according to the positioning result, the inclinationangle is detected, and the obtained picture is rotated according to the inclination angle to obtain a horizontal insulator image; the collected insulator images are cut one by one to obtain a single insulator piece data set with a fixed visual angle; foreground and background segmentation is performed on the insulator sheet data set with the fixed visual angle; and texture feature extraction is carried out on the separated foreground through a gray level co-occurrence matrix, texture features of the image are extracted by adopting energy and entropy, weighted summation is carried out accordingto whether the texture features are positively correlated, and a threshold value is set to identify the states of the insulators. According to the invention, detection and rapid positioning of defective insulators, dirt and other bad states are realized.

Description

technical field [0001] The invention relates to the technical field of high-speed railway image intelligent detection, in particular to a catenary insulator state detection method based on a robust principal component analysis method. Background technique [0002] The rapid development of high-speed railways has put forward higher requirements for the operation safety of traction power supply systems. Advanced testing technology and modern testing equipment are the guarantee for improving the maintenance quality of traction power supply systems and the basis for realizing the state detection and maintenance of electrified railways. important means. In the electrified railway power supply system, the arm support device mainly includes inclined arm, horizontal arm (tie rod), rod insulator and related parts. The rod insulator is used to suspend and support the inclined arm and the horizontal arm and keep the contact wire electrically insulated from the grounding body. The obl...

AI Technical Summary

Problems solved by technology

Since the images of catenary support and suspension devices collected on site are generally complex, and the image processing technology adopted is relatively complex, there is an urgent need for a simple and rapid image detection algorithm to quickly locate and detect the fault status of insulators

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