Fault identification method of high voltage transmission line based on computer vision

A high-voltage transmission line, computer vision technology, applied in computing, image data processing, instruments, etc., can solve the problem of high false alarm rate and achieve the effect of solving false alarms

Active Publication Date: 2019-01-15
国网黑龙江省电力有限公司佳木斯供电公司 +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The invention aims to solve the problem of high false alarm rate

Method used

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  • Fault identification method of high voltage transmission line based on computer vision
  • Fault identification method of high voltage transmission line based on computer vision
  • Fault identification method of high voltage transmission line based on computer vision

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specific Embodiment approach 1

[0020] Specific implementation mode one: refer to figure 1 and figure 2 Specifically illustrate this embodiment, the computer vision-based high-voltage transmission line fault identification method described in this embodiment, the method includes the following steps:

[0021] Step 1. Perform edge detection on the transmission line image according to the edge detection algorithm to obtain a strong edge image, and obtain the edge endpoint and edge direction from the strong edge image. Since the gradient direction of the edge endpoint is perpendicular to the edge direction, select according to the gradient direction of the edge endpoint The edge connection window screens the edge connection points in the edge connection window according to the method of Hough transform, and connects the edge connection points into an edge image;

[0022] Step 2, using a transmission line detection algorithm based on phase grouping to screen out the transmission line from the edge image of the ...

specific Embodiment approach 2

[0027] Specific embodiment 2: This embodiment is to further explain the computer vision-based high-voltage transmission line fault identification method described in specific embodiment 1. In this embodiment, processing the transmission wires and identifying faults on the transmission line include:

[0028] According to the direction of the transmission wire obtained in step 2, the method of target matching is used to judge whether the transmission wire is broken.

[0029] Using the image method to judge whether the transmission wire is covered with ice,

[0030] Segment the insulator area on the transmission wire by establishing an insulator color model, and use the morphological closed operation to process the segmented image, and then locate the insulator string drop fault by detecting the gap in the segmented image,

[0031] The visual attention mechanism model is used to detect foreign objects in transmission lines, so as to realize the identification of faults in high-vo...

specific Embodiment approach 3

[0032] Specific embodiment three: this embodiment is a further description of the high-voltage transmission line fault identification method based on computer vision described in specific embodiment two. In this embodiment, in step one, the transmission line image is edged according to the edge detection algorithm The process of detecting and obtaining a strong edge image is as follows: first, remove the color of the transmission line image to obtain a grayscale image, and then use the gradient operator to obtain the edge image:

[0033] Use a Gaussian filter to suppress noise on the transmission line image to obtain a smooth transmission line image, and then use the first-order differential operator to calculate the magnitude and direction of the gradient at each pixel of the smooth transmission line image, pixel (i,j) The gradient magnitude M(i,j) and gradient direction α(i,j) at the place are:

[0034]

[0035]

[0036] In the formula, G x (i, j) represents the parti...

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Abstract

The invention relates to a high-voltage transmission line fault identification method based on computer vision, which relates to the technical field of high-voltage transmission line running state monitoring. The invention aims at solving the problem of high false alarm rate of the existing high-voltage transmission line on-line monitoring system. 11) carrying out edge detection on the transmission line image according to the edge detection algorithm, a strong edge image is obtained, and edge endpoints and edge directions are obtained from the strong edge image. Since the gradient direction ofthe edge endpoints is perpendicular to the edge direction, an edge connection window is selected according to the gradient direction of the edge endpoints, and edge connection points are selected inthe edge connection window according to a Hough transform method, and the edge connection points are connected into an edge image. Step 2, screening the transmission lines from the edge images of thetransmission line images by adopting a transmission line detection algorithm based on phase grouping; Step 3, the transmission conductor is processed to identify the fault on the transmission line. Itis used to identify transmission line faults.

Description

technical field [0001] The invention relates to a high-voltage transmission line fault identification method based on computer vision, and belongs to the technical field of high-voltage transmission line operation state monitoring. Background technique [0002] With the development of the national economy, the demand for electricity in all walks of life continues to expand, and the total length of high-voltage transmission lines in my country has become the second largest in the world. How to prevent and discover potential safety hazards that endanger transmission lines early has become an important basic work to ensure power supply. The use of advanced technology to monitor, analyze and process high-voltage transmission lines to effectively ensure safe power supply has received great attention and attention from the power industry. [0003] In recent years, although some transmission line monitoring equipment has been developed successively, the alarm function of these equ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/13G06T7/136G06T7/181G06T7/194G01N21/88
CPCG06T7/0004G06T7/11G06T7/13G06T7/136G06T7/181G06T7/194G01N21/8851G01N2021/8887G06T2207/30108G06T2207/20024G06T2207/20016G06T2207/10024G06T2207/10004
Inventor 卢伟华王保军李军赵海清冯博刘国梁宋人杰郭树强赵立权
Owner 国网黑龙江省电力有限公司佳木斯供电公司
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