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Method and device for detecting hardware defects in power transmission line based on cascade network

A defect detection and transmission line technology, applied in the field of target detection, can solve problems such as information loss of small targets, missed detection, wrong detection, etc., to achieve the effect of improving the accuracy rate

Pending Publication Date: 2022-07-22
STATE GRID CORP OF CHINA +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The main purpose of the present invention is to propose a method and device for detecting defects in metal fittings in transmission lines based on a cascaded network, aiming to solve the technical problems that the detection methods in the prior art are easy to lose the information of small targets, resulting in missed detection and false detection , so as to achieve more accurate detection of transmission line defects

Method used

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  • Method and device for detecting hardware defects in power transmission line based on cascade network
  • Method and device for detecting hardware defects in power transmission line based on cascade network
  • Method and device for detecting hardware defects in power transmission line based on cascade network

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Embodiment 1

[0047] refer to figure 1 , figure 1 This is a flow chart of the method for detecting the defects of fittings in a transmission line based on the cascade network of the present invention. In this embodiment, the method for detecting the defects of fittings in a transmission line based on the cascade network includes the following steps:

[0048] S1, collect the target image of the fitting; perform a preprocessing operation on the target image to obtain a test sample image;

[0049] Preferably, the preprocessing operations include: rotation, translation, sharpening and / or color gamut transformation.

[0050] S2, the test sample image is input into the first detection model, and the detection of the connecting hardware is carried out, and the detection result diagram of the connecting hardware is obtained;

[0051] S3, crop the mark detection partial area of ​​the detection result map to obtain a first cropped image, and scale the first cropped image to obtain a first result im...

Embodiment 2

[0083] The present invention also implements a device for detecting flaws in metal fittings in a power transmission line based on a cascaded network, comprising:

[0084] The acquisition and acquisition module collects the target image of the fittings; performs a preprocessing operation on the target image to obtain a test sample image;

[0085] The first detection module, which inputs the test sample image into the first detection model, detects the connection fittings, and obtains a detection result diagram of the connection fittings;

[0086] a processing module, for cropping the mark detection partial area of ​​the detection result map to obtain a first cropped image, and scaling the first cropped image to obtain a first result image;

[0087] Specifically, the first detection model is an improved YOLOv4 target detection network model; the test samples of the actual application scenario are input into the trained and improved YOLOV4 target detection network model, and the ...

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Abstract

The invention discloses a method and a device for detecting hardware defects in a power transmission line based on a cascade network. The method comprises the following steps: acquiring a target image of a hardware; performing preprocessing operation on the target image to obtain a test sample image; inputting the test sample image into a first detection model, and detecting the connection fitting to obtain a detection result graph of the connection fitting; cutting the marked detection part area of the detection result image to obtain a first cut image, and zooming the first cut image to obtain a first result image; and inputting the first result image into a second detection model to obtain a defect detection result of the small hardware fitting. According to the invention, the cascade network is arranged, the improved YOLOv4 network model is used for detecting the connection hardware fitting, and the PVANet network model is used for detecting the small-size hardware fitting defects of the connection hardware fitting, so that the phenomena of missing of information of small targets, missing detection and error detection are avoided, and the detection accuracy is greatly improved.

Description

technical field [0001] The invention belongs to the field of target detection, and relates to a method and a device for detecting defects of metal fittings in a power transmission line based on a cascade network. Background technique [0002] In recent years, with the faster and faster construction of transmission lines in my country, the requirements for lean management of transmission lines have become higher and higher. In order to ensure the stable operation of the power system, inspectors need to regularly inspect overhead transmission lines. Due to the wide distribution of overhead transmission lines and the complex and changeable terrain, the traditional manual inspection method is greatly limited. Under the background of the new digital infrastructure construction strategy of State Grid Corporation of China, the intelligent inspection technology based on UAV is being widely promoted for pilot application. The massive pictures brought by the drone inspection are used...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/25G06V10/762G06V10/774G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06N3/045G06F18/23213G06F18/214
Inventor 方登洲严波许义陈龙庆朱炳翔周豪张承习孙建明李方耀
Owner STATE GRID CORP OF CHINA
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