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A method for abnormal detection of outdoor insulators in traction substations

A technology for traction substations and anomaly detection, applied in image analysis, image enhancement, instruments, etc., to achieve high accuracy

Active Publication Date: 2022-02-08
SOUTHWEST JIAOTONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method for abnormal detection of outdoor insulators in traction substations, which can effectively solve the technical problem of judging whether the working status of outdoor insulators in traction substations is normal

Method used

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  • A method for abnormal detection of outdoor insulators in traction substations
  • A method for abnormal detection of outdoor insulators in traction substations

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Embodiment Construction

[0022] The method of the invention can be used in traction substations containing insulators. The traditional power inspection method mainly relies on manual inspection, which is time-consuming, inefficient and has a long inspection cycle. The emergence of helicopters, drones, and high-definition cameras has made it possible to take images of insulators instead of original visual inspections. Compared with the traditional way, the way of inspection through smart devices has the advantages of high security, easy implementation, and high efficiency. The abnormal detection of the outdoor insulators of the traction substation can be realized by the detection method proposed by the invention.

[0023]Specifically, an insulator location network is constructed first, and the target extraction of insulators in the traction substation image captured by the camera is carried out to obtain the insulator image. Then, an insulator image generation network is constructed, which is based on...

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Abstract

The invention provides a method for detecting abnormalities of outdoor insulators in traction substations. It involves computer vision, pattern recognition and intelligent system technology. The data sets of the insulator location network and the insulator image generation network were respectively constructed; an insulator location network was constructed, and the network obtained the ability to locate insulators in the image through training; an insulator image generation network was constructed, and the insulator image reconstruction was obtained through training Ability; input traction substation images into the network model; locate insulators through the insulator location network and extract insulator images; perform anomaly detection on insulators, and the insulator image generation network gives an anomaly score to each image. Set an abnormal judgment threshold, if the abnormal score exceeds the set threshold, it is judged as an abnormal sample, and if it is lower than the threshold, it is judged as a normal sample. Finally, feature extraction is performed on the judged abnormal image and its generated image, and the difference between the two is compared to locate the abnormal area.

Description

technical field [0001] The invention relates to the technical fields of computer vision, pattern recognition and intelligent systems. Background technique [0002] The insulator is an important device in the transmission line, which is of great significance to maintain the stability of the transmission line and ensure the normal operation of the transmission network. Once an insulator fails, it will cause serious transmission failure and economic loss. Therefore, in the process of transmission line inspection, it is an important task to check whether the insulators work normally. According to the routine inspection and inspection items and requirements of the substation (1) Routine inspection and inspection content items and requirements of daily inspection: 1) The surface of the porcelain skirt is dirty and there is no discharge phenomenon. 2) Porcelain skirts and flanges have no cracks or damage. 3) The high-voltage ceramic column insulation support has no force (lead w...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T5/00G06T7/73G06N3/04
CPCG06T7/0004G06T7/73G06T2207/20032G06N3/045G06T5/70Y04S10/50
Inventor 彭宇晨权伟卢学民赵海全周宁邹栋张卫华林国松叶桦向梦辜国鑫冯宽张君
Owner SOUTHWEST JIAOTONG UNIV
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