Electric equipment abnormal heating detection method based on infrared inspection video data of power line inspection

Abstract

The invention discloses an electric equipment abnormal heating detection method based on infrared inspection video data of power line inspection. The method comprises the following steps: an infrared video is used to capture the electric equipment to get an infrared sequence image frame of the electric equipment; an image is pre-processed; the pre-processed image is classified; an electric tower sequence image undergoes image segmentation so that images of an electric tower body, an insulator, a grounding line and electric tower fittings are segmented from the electric tower sequence image; the electric tower body, the insulator, the grounding line and the electric tower fittings in the image are extracted and positioned; insulator, grounding and the electric tower fittings; the electric tower body, the insulator, the grounding line and the electric tower fittings are diagnosed to obtain a fault diagnosis result; temperature outliers are marked out; and a fault diagnosis result report is generated according to the fault diagnosis results for human auxiliary judgment. The method of the invention does not need too much threshold setting, and is high in automation degree and high in efficiency.

Description

technical field [0001] The invention belongs to the technical field of infrared video image processing applied to power line inspection, and specifically refers to a method for detecting abnormal heating of power equipment based on power line inspection infrared inspection video data. Background technique [0002] The automatic power equipment target detection technology is the key technology in the abnormal heating diagnosis process of power line inspection infrared video. This is discussed in many technical documents and research papers on fault diagnosis based on infrared images, Huangqiang. Research on HV-Power Equipment Diagnosis by Infrared Image Edge Detection, Power and Energy Engineering Conference, [c], 2009, .APPEEC2009 .Asia-Pacific.APPEEC2009.Asia-Pacific; Mohd Shawal Jadin.Recent progress in diagnosing the reliability of electrical equipment by using infrared thermography[J]Infrared Physics&Technology, 2012Vol.55No.4. Zhang Yue, Electrical Equipment Based on In...

AI Technical Summary

Problems solved by technology

[0005] However, inter-frame difference for target detection has the following disadvantages: 1. It is not applicable to the situation where the target and the background are not moving but the detector is moving, and the complete area of ​​the object cannot be extracted

[0007] However, due to the characteristics of discontinuity and noise in the image after difference, the traditional image processing methods, such as the classic Canny operator, will be affected by the threshold parameter image, and the straight line detected by Hough transform will also be affected by the edge detection performance. Impact

Images