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A visual detection method for electrified railway pantograph-catenary arcing

A technology for electrified railways and visual inspection, applied in biological neural network models, instruments, calculations, etc., can solve the problem of extracting arc information without a single frame image, achieve strong scene adaptability and scalability, improve network effects, The effect of reducing the amount of calculation

Active Publication Date: 2022-03-29
SOUTHWEST JIAOTONG UNIV
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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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  • A visual detection method for electrified railway pantograph-catenary arcing
  • A visual detection method for electrified railway pantograph-catenary arcing
  • A visual detection method for electrified railway pantograph-catenary arcing

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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 electrified railway pantograph-catenary arcing, and relates to the technical field of computer graphic recognition. First, mark the pantograph-catenary image with arc burning, and then use the marked image as a data set of multi-dimensional feature fusion segmentation network to train the network. The segmentation network adopts a deep convolutional network. Composed of a fusion module and a head module, the pantograph-catenary image performs forward inference through the segmentation network, and the output result of the network segmentation head sub-module is twice up-sampled and the feature map is used as the segmentation result of the pantograph-catenary image. Depth separable convolution and group convolution are added to the multi-dimensional feature fusion module. The addition of the same channel attention and spatial attention mechanism makes the network pay more attention to the characteristics of the arc burning area. After the training is completed, the network can accurately detect pantograph-catenary images. Whether arcing occurs in the network, online learning and adaptive switching of the model can also improve the accuracy and robustness of the network.

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 Patents(China)
IPC IPC(8): G06V20/10G06V10/26G06V10/40G06V10/774G06V10/82G06V10/80G06K9/62G06T3/40G06N3/04
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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