A method for detecting defects of catenary support components

Abstract

The invention discloses a method for detecting defects of a catenary support assembly, and a method for detecting defects of a catenary support assembly, comprising the following steps: step 1: constructing a data set of catenary load-bearing cable bases and oblique stay wire hooks; step 2 : Use the Faster RCNN convolutional neural network to locate the target, and obtain the positioning results of the catenary bearing cable base and the cable-stayed hook; Step 3: According to the positioning results and the structural information of the catenary cable-bearing cable base and the cable-stayed hook, obtain the oblique cable hook. The image of the candidate area where the cable is located; Step 4: Use Hough transform to locate the image of the candidate area of ​​the cable to obtain the positioning result of the cable, and perform the loose defect detection of the cable according to the straight line detection result; Step 5: According to the image processing method and According to the detection result, the installation defect detection is performed on the base of the bearing cable; the invention improves the detection efficiency and precision of the components, can effectively detect whether the cable-stayed wire has a loose fault, has high detection efficiency, and simplifies the difficulty of fault detection.

Description

technical field [0001] The invention relates to the technical field of high-speed rail image intelligent detection, in particular to a method for detecting defects of catenary support components. Background technique [0002] As the advantages of high-speed railway become more and more prominent, countries around the world are building a large number of railways. The railway foundation is mainly composed of two parts: the catenary system and the railway system. The catenary system is mainly responsible for the power supply of high-speed locomotives, and it contains a large number of supporting components, such as insulators, stable booms, supporting wire hooks, etc. These support assemblies are used to withstand mechanical loads, electrical insulation, etc. However, due to the high-speed movement of the locomotive and the influence of the external environment, the catenary support assembly may lose parts, cause loose parts, cracks, etc., which will pose a major threat to t...

AI Technical Summary

Problems solved by technology

These detection methods based on deep learning show fast detection speed and high detection accuracy, but few people have proposed corresponding methods for the faults of cable-stayed wires. In this case, fast and accurate detection of catenary support components Object localization and defect detection methods are particularly important

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