Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Partial discharge detection method based on multi-source image fusion

A partial discharge detection, source image technology, applied in image enhancement, image data processing, graphic image conversion, etc., can solve problems such as difficulty in meeting higher precision requirements, inability to do anything about discharge faults, and limited detection technology level, and achieve suppression. Noise, achieve selective overlap, avoid loss effects

Inactive Publication Date: 2016-07-06
SHANGHAI MUNICIPAL ELECTRIC POWER CO +2
View PDF8 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In many years of practice, the effectiveness of ultrasonic, ultraviolet and infrared detection methods has been greatly affirmed, but limited by the level of detection technology, single-principle detection methods have their own advantages and disadvantages
[0004] 1. The use of ultrasound to detect discharge is very effective, and can reduce the interference of audible sound, but the directivity of ultrasound is strong, and it is easy to attenuate in the air. It often requires high sensitivity of the detection equipment, and at the same time, the detector needs to be rich. experience of;
[0005] 2. The commonly used infrared thermal imaging camera with the principle of uncooled focal plane has a high detection rate for heating defects, but it is often powerless for discharge faults;
[0006] 3. The ultraviolet imager has high detection sensitivity for discharge, but it is easy to be blocked, and it is powerless to discharge in hidden parts or inside
[0007] The existing single detection method mentioned above is difficult to meet the requirements of higher precision

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Partial discharge detection method based on multi-source image fusion
  • Partial discharge detection method based on multi-source image fusion
  • Partial discharge detection method based on multi-source image fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0059] This embodiment provides a partial discharge detection method based on multi-source image fusion, such as figure 1 As shown, the detection method includes the following steps:

[0060] S100, using the ultrasonic sensor array, camera, infrared thermal imager, and ultraviolet imager to simultaneously collect ultrasonic signals, visible light images, infrared images, and ultraviolet images of the device under test;

[0061] S200. Obtain an ultrasonic visible light image based on the collected ultrasonic signal and visible light image:

[0062] S300. Use an image fusion algorithm t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a partial discharge detection method based on multi-source image fusion. The partial discharge detection method based on multi-source image fusion is characterized in that S100, an ultrasonic sensor array, a camera, an infrared thermal imager, and an ultraviolet imager are respectively used to acquire ultrasonic wave signals, visible images, infrared images, and ultraviolet images of a detected device synchronously; S 200, the ultrasonic visible images can be acquired based on the acquired ultrasonic wave signals and the visible images; S 300, the ultrasonic visible images, the infrared images, the ultraviolet images can be used as the partial discharge detection result after being fused by adopting the image fusion algorithm, and can be displayed. Compared to the prior art, the partial discharge detection method has advantages of detection precision and high reliability.

Description

technical field [0001] The invention relates to the field of electrical equipment discharge detection, in particular to a partial discharge detection method based on multi-source image fusion. Background technique [0002] With the rapid development of grid scale, the number of electrical equipment is increasing rapidly. Since most of the high-voltage electrical equipment is arranged outdoors, it is greatly affected by the environment. Before the failure of outdoor substation equipment, partial discharge often occurs, and the discharge source will produce acoustic, electrical and chemical effects. Experienced operators can often use ultrasonic, ultraviolet and infrared equipment to detect hidden dangers in advance and prevent accidents. [0003] In many years of practice, the effectiveness of ultrasonic, ultraviolet and infrared detection methods has been greatly affirmed, but limited by the level of detection technology, single-principle detection methods have their own a...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01R31/12G06T3/40G06T5/50
CPCG06T3/4038G06T5/50G01R31/1209G01R31/1218
Inventor 徐鹏董明傅晨钊高凯陆启宇林敏
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products