Contact network insulator detection method based on reconstruction and classification convolution self-coding network

Abstract

The invention discloses a contact network insulator detection method based on reconstruction and a classification convolution self-encoding network. The method specifically comprises the following steps: 1, imaging a high-speed railway contact network supporting and suspending device; 2, establishing a sample data set of the insulator, and carrying out insulator target detection and segmentation;3, adjusting the insulator to be horizontal by utilizing coordinate transformation, removing noise by utilizing outlier detection, carrying out edge detection on the insulator, then carrying out quadratic function fitting, cutting the acquired insulator images one by one, and finally establishing an insulator piece data set; 4, building a reconstruction and classification convolution automatic coding network, judging whether there is an insulator misclassification or not, and extracting an insulator fault region; 5, clustering the separated foreground images, and establishing a fault judgmentcriterion according to a clustering result; whether the insulator fails or not is judged by setting a threshold value, and the fault level is further evaluated. The detection result is objective, realand accurate, and the defects of a traditional detection method are overcome.

Description

technical field [0001] The invention belongs to the technical field of high-speed railway image intelligent detection, and in particular relates to a catenary insulator detection method based on a reconstruction and classification convolutional self-encoding network. Background technique [0002] The catenary is one of the key components in the high-speed railway system, which plays a vital role in the stability and safe operation of the railway. However, due to the complex and harsh operating environment, the components of the catenary are easily damaged, which may cause interruption of train operation and endanger the safety of passengers. 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 oblique ar...

AI Technical Summary

Problems solved by technology

The above methods have their own disadvantages. For example, GAN can only judge whether there is a fault, but not the distribution of the fault, and is easily affected by background interference. The AE network has functional redundancy, etc.

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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