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Traction substation outdoor insulator abnormity detection method

A technology for traction substations and anomaly detection, applied in image data processing, instruments, biological neural network models, etc.

Active Publication Date: 2020-08-07
SOUTHWEST JIAOTONG UNIV
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  • Summary
  • 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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  • Traction substation outdoor insulator abnormity detection method
  • Traction substation outdoor insulator abnormity detection method

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Embodiment Construction

[0022] The method of the present invention can be used in traction substations containing insulators. The traditional power inspection method mainly relies on manual inspection, which is time-consuming, low in efficiency and long inspection cycle. The emergence of helicopters, drones, and high-definition cameras makes it possible to take insulator images instead of original visual inspections. Compared with traditional methods, the way of conducting inspections through smart devices has the advantages of high safety, 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 present invention.

[0023] Specifically, an insulator positioning network is first constructed, and the insulators in the traction substation image taken by the camera are extracted by target to obtain the insulator image. Then an insulator image generation network is built, which is based on t...

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Abstract

The invention provides a traction substation outdoor insulator abnormity detection method. The invention relates to the technical field of computer vision, pattern recognition and intelligent systems.The method comprises the steps of: respectively constructing data sets of an insulator positioning network and an insulator image generation network; constructing an insulator positioning network, and enabling the network to obtain the capability of positioning the insulator in the image through training; constructing an insulator image generation network, and obtaining the insulator image reconstruction capability through training; inputting the traction substation image into a network model; positioning the insulator through an insulator positioning network, and extracting an insulator image; and carrying out anomaly detection on the insulator, and giving an anomaly score to each picture by the insulator image generation network; setting an abnormality judgment threshold value, if the abnormality score exceeds the set threshold value, judging that the sample is an abnormal sample, and if the abnormality score is lower than the threshold value, judging that the sample is a normal sample; and finally, performing feature extraction on the judged abnormal image and the generated image thereof, and comparing the difference to locate an 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 for maintaining the stability of the transmission line and ensuring the normal operation of the transmission network. Once the insulator fails, it will cause serious transmission failure and economic loss. Therefore, it is an important task to check whether insulators are working properly during the inspection of transmission lines. According to routine inspections, inspection items and requirements of substations (1) Routine inspections Routine inspections and inspection content items and requirements: 1) There is no discharge phenomenon on the surface of the porcelain skirt. 2) There is no crack or damage on the porcelain skirt and flange. 3) The high-voltage porcelain pillar insulation pillar has no force (lead), the pil...

Claims

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Application Information

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Patent Type & Authority Applications(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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