Carbon fiber composite core cable damage detection method based on image classification network

Abstract

The invention provides a carbon fiber composite core cable damage detection method based on an image classification network. The method comprises: using an X imaging mode to carry out image acquisition on a carbon fiber composite core cable; preprocessing the acquired carbon fiber composite core cable image to obtain a training sample and a detection sample respectively; determining the input andoutput of the initial residual network and the structure of the middle part, and constructing a carbon fiber composite core cable damage classification detection network; training a carbon fiber composite core cable damage classification detection network by using the training sample, and storing a model with an optimal training effect; using a detection sample for detection, performing classifiedoutput according to the damage classification detection network of the carbon fiber composite core cable, and automatically marking the damage position in the image. The method can automatically realize damage detection of the carbon fiber composite core cable, and is high in detection efficiency and precision.

Description

technical field [0001] The invention relates to a method for detecting damage of a carbon fiber composite core cable based on an image classification network. Background technique [0002] With the continuous progress of modern industries, the power consumption of all walks of life is increasing geometrically, and the load on cables is increasing. Due to the complex and diverse environment of the cable, whether it is construction or use, it is easy to cause some damage to the carbon fiber composite core, which directly affects the normal power supply and greatly affects the lives of residents. Therefore, the detection method of the cable damage position is particularly important. [0003] In the traditional flaw detection method, Wan Jiancheng of China Electric Power Research Institute and Zhu Bo of Shandong University and others mainly used three kinds of detection techniques: ray detection, frequency analysis and sag monitoring. After communicating with units that have a...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a carbon fiber composite core cable damage detection method based on an image classification network to solve the problem of carbon fiber composite core cable damage detection that is difficult to detect due to the small difference between the background and damage in the prior art

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