Method for detecting faults caused by foreign body pollution between electrified railway insulator plates based on affine invariant moment

Abstract

The invention relates to a method for faults caused by foreign body pollution between electrified railway insulator plates based on affine invariant moment, which aims at solvating the problems of a complicated background of insulator problem detection and the like caused by much original image content. The method can be used quickly and accurately identifying and positioning insulators through overall image classification and by virtue of the affine invariant moment, and then can be used for carrying out fault detection on the insulators. The method comprises the following steps of: detecting, identifying and classifying shafts by virtue of a Hough transformation segment, thus obtaining an insulator type after setting the classified shafts as a background; then applying the affine invariant moment to extract the insulators in the insulator type; in order to solve the problem of different change of the angles of the insulators, carrying out straight-line fitting on the boundary curves of the insulators to obtain the rotation angles of the insulators; in order to avoid the loss of foreign body characteristics, amplifying the characteristics of the insulators by virtue of morphological dilation operation; in order to improve the local contrast of insulator images, dividing each piece of the image into a block to carry out local contrast control on each block; and then carrying out grey level value statistic on each row of the blocks, and finally identifying and positioning the faults through the width of each strip in a grey level statistical chart. The method based on prior classification disclosed by the invention simplifies the background of the insulators, efficiently improves the speed and accuracy of insulator identification and positioning, reduces the difficulty of fault detection, and provides an advisable reference for the insulating property detection of an electrified railway.

Description

technical field [0001] The invention relates to the field of foreign matter pollution fault detection between catenary insulator sheets of an electrified railway, including the fields of rapid classification of image graphics elements and accurate identification and positioning of faults. Background technique [0002] In the catenary suspension device, the insulating porcelain bottle plays an important role in isolating the live part and the non-insulating part. Due to its long-term exposure, it will be polluted to a certain extent, including dust, stones splashed by passing locomotives, etc. At the same time, foreign objects such as stones are sandwiched between the insulating porcelain bottles for a long time, which may cause cracks or even damage to the porcelain pieces. These bad conditions will reduce its insulation performance, and in serious cases will endanger the safety of personnel and cause tripping accidents. Therefore, it is necessary to check whether there is...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an automatic identification and positioning method for foreign matter pollution faults between electrified railway insulator sheets based on image processing theory, so that it can classify complex images, simplify the background, and overcome the difficulty of identifying and positioning insulators in the global image , improve the efficiency and accuracy of detection

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