Insulator recognition and fault diagnosis method based on infrared image

An insulator identification, infrared image technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as difficult application, achieve the effect of great practicability, reduce workload, and increase detection cycle

Inactive Publication Date: 2017-07-04
STATE GRID CORP OF CHINA +2
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  • Summary
  • Abstract
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Problems solved by technology

However, the current research mainly focuses on the intelligent recognition of visible light aerial images, and is limited by the complex environment along the overhead line and the influence of weather. The current research is still in the theoretical stage and it is difficult to apply it to actual projects.

Method used

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  • Insulator recognition and fault diagnosis method based on infrared image
  • Insulator recognition and fault diagnosis method based on infrared image
  • Insulator recognition and fault diagnosis method based on infrared image

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Embodiment Construction

[0024] refer to Figure 1-2 , a specific embodiment of the present invention includes,

[0025] A. Take pictures of insulators and perform image recognition to distinguish different insulators;

[0026] B. Analyze the temperature characteristics of different insulators displayed in the image, and judge the insulator with abnormal temperature characteristics as a fault insulator.

[0027] In step A, first calculate all the surf feature points in the infrared image, then perform K-nearest neighbor matching with the feature point set of the template data, filter out the feature points that do not belong to insulators, and then perform spatial clustering on all feature points to distinguish different insulator.

[0028] In the process of K-nearest neighbor matching, the K-D tree is used to speed up.

[0029] When accelerating the K-D tree, use the associated non-feature points around the feature points to perform synchronous K-nearest neighbor matching, and use the average feat...

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Abstract

The invention discloses an insulator recognition and fault diagnosis method based on an infrared image. The method comprises the following steps of A, performing photographing on an insulator and performing image recognition for differentiating different insulators; and B, analyzing temperature characteristics of the different insulators in displaying in the image, and determining the insulator with the abnormal temperature characteristic as a faulted insulator. The insulator recognition and fault diagnosis method can settle defects in prior art and furthermore has advantages of high suitability of automatic checking in a complicated environment and low error determining rate.

Description

technical field [0001] The invention relates to the technical field of grid fault identification and diagnosis, in particular to an infrared image-based insulator identification and fault diagnosis method. Background technique [0002] Due to the continuous expansion of the scale of the domestic power grid, long-distance transmission lines, such as UHV lines, have grown rapidly, and many transmission lines are distributed between mountains and mountains, resulting in the traditional manual line inspection being affected by the terrain environment, personnel quality, weather conditions, etc. Influenced by certain factors, the efficiency is low, the re-inspection period is long, and the accuracy of the inspection data is not high. Therefore, in recent years, China has gradually developed helicopter or UAV intelligent inspection technology, which can greatly improve the efficiency without being restricted by the geographical environment. However, the remaining problem of the i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0008G06T2207/10048G06T2207/20081
Inventor 刘朝辉刘云鹏付炜平尹子会王伟肖魁欧董俊虎隋少臣常浩王江伟张凯元
Owner STATE GRID CORP OF CHINA
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