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Method and device for identifying bursting of transmission line insulators

A technology for insulator recognition and transmission lines, applied in scene recognition, neural learning methods, character and pattern recognition, etc., can solve problems such as heavy workload, labeling errors, and low efficiency, so as to improve accuracy, improve work efficiency, and reduce The effect of the probability of missing and mislabeling

Active Publication Date: 2021-08-17
YANGTZE UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to overcome the above-mentioned technical deficiencies, provide a transmission line insulator burst identification method, device and computer storage medium, solve the problem of manual identification and labeling of circuit inspection photos in the prior art, low efficiency, heavy workload, and easy A technical problem with label errors

Method used

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  • Method and device for identifying bursting of transmission line insulators
  • Method and device for identifying bursting of transmission line insulators
  • Method and device for identifying bursting of transmission line insulators

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Embodiment 1

[0024] Such as figure 1 As shown, Embodiment 1 of the present invention provides a power transmission line insulator burst identification method, comprising the following steps:

[0025] S1. Collect the transmission line image, mark the insulator area in the transmission line image, and obtain the insulator label frame;

[0026] S2. Segment the transmission line image to obtain a plurality of anchor frames, select a part of the anchor frames, classify the selected anchor frames according to the insulator label frame, and obtain positive samples including insulators and negative samples not including insulators;

[0027] S3. Using the positive samples and negative samples to train the region proposal network to obtain an insulator recognition model;

[0028] S4. Classify all the anchor frames according to the insulator recognition model to obtain positive samples and negative samples, mark the positive samples with burst regions, and obtain training samples;

[0029] S5. Usin...

Embodiment 2

[0094] Embodiment 2 of the present invention provides a power transmission line insulator burst identification device, including a processor and a memory, and a computer program is stored in the memory. When the computer program is executed by the processor, the power transmission line provided in Embodiment 1 is realized. Identification method of insulator burst.

[0095] The transmission line insulator burst identification device provided by the embodiment of the present invention is used to realize the transmission line insulator burst identification method. Therefore, the technical effect of the transmission line insulator burst identification method is also provided by the transmission line insulator burst identification device, which will not be repeated here. repeat.

Embodiment 3

[0097] Embodiment 3 of the present invention provides a computer storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method for identifying bursting of a power transmission line insulator provided in Embodiment 1 is implemented.

[0098] The computer storage medium provided by the embodiment of the present invention is used to realize the method for identifying a transmission line insulator burst. Therefore, the technical effect of the transmission line insulator burst identification method is also provided by the computer storage medium, and will not be repeated here.

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Abstract

The invention relates to the technical field of electric power inspection, and discloses a method for identifying a transmission line insulator burst, comprising the following steps: collecting a transmission line image, marking the insulator area in the transmission line image, and obtaining an insulator label frame; and segmenting the transmission line image , get multiple anchor boxes, select some anchor boxes, classify the selected anchor boxes according to the insulator label box, and get positive samples including insulators and negative samples not including insulators; use positive samples and negative samples to train the region proposal network , to obtain the insulator recognition model; according to the insulator recognition model, classify all the anchor frames to obtain positive samples and negative samples, and mark the burst area of ​​the positive samples to obtain training samples; use the training samples to train the neural network to obtain the burst recognition model; Combining the insulator recognition model and the burst recognition model to perform burst recognition on the image to be recognized. The invention has the technical effect of high inspection efficiency.

Description

technical field [0001] The invention relates to the technical field of electric power inspection, in particular to a method, device and computer storage medium for identifying a transmission line insulator burst. Background technique [0002] With the development of science and technology and the progress of society, the country's demand for electricity is increasing, and the requirements for power supply reliability are also getting higher and higher. At present, the scale of my country's power grid ranks first in the world, with a total of six inter-provincial power grid systems. Their huge scale and complex geographical environment pose severe challenges to the reliability of power supply. Manual power inspections alone cannot fully meet the extensive needs of modern power systems. Therefore, research on new power inspection technologies has been intensified at home and abroad and breakthroughs have been made, such as manned helicopter inspections, Robot inspection, fixe...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/34G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06V20/13G06V10/267G06N3/045G06F18/24G06F18/25G06F18/214
Inventor 詹炜朱晨光舒子桓
Owner YANGTZE UNIVERSITY