Power transmission line anomaly detection method based on unmanned aerial vehicle aerial images

An anomaly detection and transmission line technology, applied in image analysis, image data processing, computer parts and other directions, can solve the problems of inability to detect various anomalies of transmission lines, complex algorithm calculation, etc.

Active Publication Date: 2021-04-20
STATE GRID CORP OF CHINA +2
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Problems solved by technology

[0004]Although the above algorithm provides an effective solution to the extraction of power lines in the image, it cannot detect various anomalies

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  • Power transmission line anomaly detection method based on unmanned aerial vehicle aerial images
  • Power transmission line anomaly detection method based on unmanned aerial vehicle aerial images
  • Power transmission line anomaly detection method based on unmanned aerial vehicle aerial images

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[0032]Next, the present invention is further described in detail based on the transmission line abnormality detecting method based on the drone captured image according to the present invention.

[0033]Referfigure 1 withfigure 2 , A transmission line anomaly detection method based on a drone captured image, comprising the steps of:

[0034]1) The RGB color image collected by R (red), G (green), B (blue) three primary colors is mixed into a grayscale image. In secondary, the red green blue score of each pixel point in the image is taken, and according to the following formula, it is converted to a gradation value, and then the new gradation value is assigned to the corresponding position of the image;

[0035]Gray = 0.299 × R + 0.587 × g + 0.114 × b.

[0036]2) In order to prevent excessive optical correction of the image, the transition interval is set according to the gradation value of the image, and the original information of the image is retained in the transition section, the growth of t...

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Abstract

The invention relates to a power transmission line anomaly detection method based on unmanned aerial vehicle aerial images, which is characterized by comprising the steps of image preprocessing, power transmission line extraction and abnormal point detection. Firstly, it is considered that the sunlight direction, the brightness, the color and the like of the images influence image processing by using a computer in practical application therefore, optical correction and other denoising operations need to be performed on the image shot by the unmanned aerial vehicle; and then it is considered that the aerial images of the power transmission lines have no complex background interference under most conditions and the power transmission lines often penetrate through the characteristics of the whole images, the power transmission lines are extracted from the aerial images by using a linear detection algorithm based on an improved canny operator and Hough transformation; the accuracy and the execution efficiency are improved, and the method has the advantages of being scientific, reasonable, high in noise interference resistance, high in detection accuracy, high in speed, good in application effect and the like.

Description

technical field [0001] The invention relates to the technical field of power transmission line monitoring, in particular to a transmission line abnormality detection method based on images captured by a drone. Background technique [0002] With the continuous development of power systems, transmission lines are an important part of power transmission, and their safe and reliable operation has become an important link in the stable operation of power systems. Transmission line inspections have also become an important preventive maintenance program for grid operators. This requires a lot of time to develop maintenance personnel with solid professional skills, rich experience and sound judgment. And there are certain hidden dangers in manual inspection. [0003] With the development of UAV technology, UAV inspection has become an important transmission line inspection method. However, at present, the video data collected by the drone is mainly brought to the detection center...

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/46G06T7/00
Inventor 武学亮李小龙战文华郭树强金东赫
Owner STATE GRID CORP OF CHINA
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