Method for detecting and locating insulator defects in power transmission line image via a drone

A transmission line and positioning method technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of low detection accuracy of insulator electrical faults, missed or wrong detection, and influence on transmission line safety, etc.

Active Publication Date: 2015-12-16
安徽工业大学科技园有限公司
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Problems solved by technology

[0007] The purpose of the present invention is to overcome the relatively low detection accuracy of electrical faults of insulators in power towers in the prior art when UAVs are used to perform automatic inspections of transmiss

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  • Method for detecting and locating insulator defects in power transmission line image via a drone
  • Method for detecting and locating insulator defects in power transmission line image via a drone
  • Method for detecting and locating insulator defects in power transmission line image via a drone

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Embodiment 1

[0066] The main characteristics of insulators in aerial images are as follows: (1) The shape of the insulators is elliptical with uniform length and width; (2) The insulators are arranged in series at equal intervals in the transmission line; (3) Compared with the background, their color (4) In a fixed-voltage level transmission line, the number of insulators in the insulator string is certain; (6) The insulators are generally light green and translucent. In the aerial image, its color is similar to that of The ground vegetation, green lake water and other backgrounds are similar.

[0067]A method for detecting and locating insulator defects in UAV inspection transmission line images of the present invention is developed in combination with the above characteristics of insulators in aerial images, and its process is as follows figure 1 As shown, the specific steps are:

[0068] Step 1, such as figure 2 (a), figure 2 (b) shows the actual aerial image of this embodiment, co...

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Abstract

The present invention discloses a method for detecting and locating insulator defects in power transmission line image via a drone, and belongs to the technical field of image extraction and recognition. The detection and location method for the insulator defects comprises the steps of: S1. converting an aerial image from an RGB color space into an HSI (Hue-Saturation-Lightness) space, and carrying out binarization on extracted H component image and S component image separately to obtain a binary image of a preliminary contour of an insulator string; S2. using an ant colony algorithm based on a particle swarm optimization parameter to extract a contour of an insulator monomer; and S3. using a least square method to perform ellipse fitting on the contour of the insulator monomer, and locating the insulator defects by detecting the space between the contours of insulator monomers. By using the technical scheme provided by the invention, the detection precision of the insulator defects can be significantly improved, background interferences are reduced, and the operation speed is relatively high.

Description

technical field [0001] The invention belongs to the technical field of image extraction and recognition, and more specifically relates to a method for detecting and locating insulator defects in an image of a power transmission line inspected by an unmanned aerial vehicle. Background technique [0002] With the sustained and rapid development of my country's national economy and the increasing scale of urban construction, the rapid and intensive development of high-tech industries, finance, medical and health industries, and the increasing demand for electric energy, economic development not only increases the load of urban and rural power grids, but also affects The reliability and quality of power supply put forward higher requirements. Therefore, power companies need to conduct regular inspections of power line equipment, especially power lines and power towers, to ensure the stable and safe operation of the power transmission system and the normal progress of social produ...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T2207/10024G06T2207/30108
Inventor 方挺韩家明
Owner 安徽工业大学科技园有限公司
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