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Method of identifying bird's nest on transmission line based on feature identification

A transmission line and feature recognition technology, applied in scene recognition, character and pattern recognition, instruments, etc., can solve the problems of easy omission and misreport of key information, easy omission of key information, etc., and achieve the effect of reducing the incidence of accidents

Pending Publication Date: 2016-12-21
STATE GRID FUJIAN ELECTRIC POWER CO LTD +3
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AI Technical Summary

Problems solved by technology

However, the amount of images or video data acquired during the aerial inspection process is very large. If the method of manual screening, manual analysis and judgment is used to directly process the huge video and picture information, it is undoubtedly very hard work and very difficult. It is easy to miss key information; if manual online monitoring, real-time judgment and detection of abnormalities in power transmission and transformation lines are used, it will be more difficult work, and it is easier to miss and misreport key information

Method used

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  • Method of identifying bird's nest on transmission line based on feature identification
  • Method of identifying bird's nest on transmission line based on feature identification
  • Method of identifying bird's nest on transmission line based on feature identification

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Embodiment 1

[0024] A method for identifying a bird's nest on a transmission line based on feature recognition is implemented by adopting the following steps:

[0025] (1) Grayscale processing of RGB color images: a large number of RGB color images are captured from transmission lines by drones, and the RGB color images are converted into grayscale images. The conversion formula is expressed as follows:

[0026] Y=0.3R+0.59G+0.11B (1);

[0027] In formula (1): Y represents the grayscale value of the pixel point of the grayscale image; R, G, and B respectively represent the red component, green component, and blue component of the pixel point of the RGB image;

[0028] (2) LSD line detection of grayscale image: First, reduce the grayscale image to 80% of the original, and calculate the gradient value and gradient magnitude of each pixel of the grayscale image respectively. The calculation formula is as follows:

[0029] g ...

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Abstract

The invention discloses a method of identifying a bird's nest on a transmission line based on feature identification. By introducing a computer vision analysis technology of artificial intelligence significance, the existing inspection system has the abilities of human eye identification and human brain analysis. Bird's nests or other potential threats on a transmission line tower are identified and analyzed through vision analysis, and warning is issued in real time, which reduces the accident rate.

Description

technical field [0001] The invention relates to a method for identifying a bird's nest on a transmission line, in particular to a method for identifying a bird's nest on a transmission line based on feature identification. Background technique [0002] Transmission lines play a very important role in the power system and are directly related to the electricity consumption of thousands of households. Large-scale power outages will bring immeasurable losses to the national economy. Therefore, the safety of transmission lines is one of the high concerns of the power sector. The natural activities of birds often interfere with the normal operation of transmission lines. Its impact on transmission lines is mainly manifested in: bird nests are often built on transmission line towers, and the falling of nest materials can easily cause short circuits around the towers; in addition, when birds are active, food or feces often accumulate in the transmission line. The porcelain bottle...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/38G06K9/46G06K9/62
CPCG06V20/13G06V10/28G06V10/462G06F18/2411
Inventor 戴礼豪王庆华林朝辉王力群许凌西吴飞龙
Owner STATE GRID FUJIAN ELECTRIC POWER CO LTD
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