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Visual detection method for pantograph-catenary arcing of electrified railway

A technology for electrified railways and visual inspection, applied in biological neural network models, image data processing, instruments, etc., can solve the problem of no single frame image to extract arc information

Active Publication Date: 2021-05-07
SOUTHWEST JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

The above research mainly uses the features of the pantograph-catenary relationship extracted from the image to judge whether there is arcing, and does not extract arcing information for a single frame image

Method used

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  • Visual detection method for pantograph-catenary arcing of electrified railway
  • Visual detection method for pantograph-catenary arcing of electrified railway
  • Visual detection method for pantograph-catenary arcing of electrified railway

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Embodiment

[0050] The method of the invention can be used in different electrified railway routes and locomotive situations, and can perform arc detection and pixel-level segmentation on various pantograph-catenary monitoring video images.

[0051] Specifically, when using this method to detect and segment pantograph-catenary arcing, firstly, the pantograph-catenary image captured by the monitoring camera on the roof of the electrified railway locomotive is used to form the pantograph-catenary image library, and the scale of the pantograph-catenary image is normalized to 512× The size is 512 pixels, and its depth is 3 channels. Use the LabelMe labeling tool to mark the arcing boundary points in the image and generate the corresponding mask. All pantograph-catenary images and their masks together constitute the electrified railway pantograph-catenary arcing data set. The data set is according to The ratio of 7:2:1 is divided into training set, test set and verification set. Then, the pant...

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Abstract

The invention provides a visual detection method for pantograph-catenary arcing of an electrified railway, and relates to the technical field of computer pattern recognition. Firstly, mask labeling is carried out on a pantograph-catenary image with arcing, then a labeled image is used as a data set of a multi-dimensional feature fusion segmentation network to train a network, the segmentation network adopts a deep convolutional network and is composed of a feature extraction module, a multi-dimensional feature fusion module and a head module, forward reasoning is carried out on the pantograph-catenary image through the segmentation network, and a network segmentation head sub-module outputs a feature map obtained after double up-sampling of a result as a segmentation result of the pantograph-catenary image. Deep separable convolution and grouping convolution are added into a multi-dimensional feature fusion module, the network is enabled to pay more attention to arcing region features through the addition of a same-channel attention and space attention mechanism, the network can accurately detect whether an arcing phenomenon occurs in a pantograph-catenary image after training is completed, and the accuracy and robustness of the network can also be improved by performing online learning and adaptive switching on the model.

Description

technical field [0001] The invention relates to the technical field of computer graphic image recognition. [0002] technical background [0003] The pantograph-catenary system is a key component of the electrified railway power supply system. Ensuring the good current receiving performance of the pantograph-catenary system is an important safety guarantee for high-speed train operation. Pantograph-catenary arcing is an important factor affecting the good current receiving between the pantograph-catenary system. Therefore, the research on the pantograph-catenary arcing visual detection algorithm based on computer vision can realize the robust real-time and accurate detection of pantograph-catenary arcing, which is very important for improving the automation and intelligence level of the pantograph-catenary detection system and ensuring the safe and stable operation of the pantograph-catenary system. Is of great significance. [0004] At present, there are mainly two types of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/34G06K9/46G06K9/62G06T3/40G06N3/04
CPCG06T3/4007G06N3/04G06V20/10G06V10/267G06V10/40G06F18/253G06F18/214
Inventor 权伟郭少鹏周宁邹栋张卫华卢学民刘跃平向梦郑杰
Owner SOUTHWEST JIAOTONG UNIV
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