Power transmission line damper deformation defect detection method based on cascade R-CNN algorithm

A transmission line and defect detection technology, which is applied to the detection of deformation defects of transmission line anti-vibration hammers, based on the cascaded R-CNN algorithm in the field of detection of transmission line anti-vibration hammer deformation defects, can solve the problems of easy missed detection and false detection, and detection efficiency Low-level problems, to achieve the effect of preventing mismatch and reasonable design

Pending Publication Date: 2021-06-11
STATE GRID HUBEI ELECTRIC POWER CO LTD MAINTENANCE CO +2
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Problems solved by technology

[0007] The purpose of the present invention is to provide a transmission line anti-vibration hammer deformation detection method based on the cascaded R-CNN algorithm in order to solve...

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  • Power transmission line damper deformation defect detection method based on cascade R-CNN algorithm
  • Power transmission line damper deformation defect detection method based on cascade R-CNN algorithm
  • Power transmission line damper deformation defect detection method based on cascade R-CNN algorithm

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[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0026] see Figure 1~2 , a method for detecting deformation defects of transmission line anti-vibration hammers based on the cascaded R-CNN algorithm, including the following steps:

[0027] Step 1: Preprocess the anti-vibration hammer image obtained from the high-voltage transmission line inspection image set, and obtain the anti-vibration hammer image data set after preliminary preprocessing;

[0028] In this embodiment, the preprocessing method of the anti...

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Abstract

The invention discloses a power transmission line damper deformation defect detection method based on a cascade R-CNN algorithm, and the method comprises the steps: carrying out the preprocessing of a damper image obtained through the aerial photographing of an unmanned plane, and obtaining a damper image data set after the preliminary preprocessing; based on the preprocessed image data, constructing a vibration damper target detection training set, a verification set and a test set; using data in the training set to carry out iterative training on the Cascade R-CNN model; inputting the test set into the Cascade R-CNN model to test the model precision; judging whether the vibration damper is deformed or not and marking the finally obtained deformation defect area of the vibration damper to be detected. The invention has the beneficial effects that the problems of overfitting caused by an overlarge IoU threshold value and mismatching of the IoU threshold value and a threshold value in a trainer in the existing detection technology are solved, the capabilities of detecting the vibration damper of the power transmission line and identifying the deformation defect of the vibration damper are improved, and the inspection working efficiency is improved.

Description

technical field [0001] The invention relates to a detection method for a deformation defect of an anti-vibration hammer of a transmission line, in particular to a detection method for a deformation defect of an anti-vibration hammer of a transmission line based on a cascaded R-CNN algorithm, and belongs to the technical field of transmission line detection. Background technique [0002] As the main carrier of the power grid, the safe operation of high-voltage transmission lines affects the stability of the entire power system. Due to the large distance span of transmission lines, the complex and diverse natural environment, and the influence of external factors such as strong winds, rain, and lightning strikes, high-voltage transmission lines are prone to various defects and failures. Manual patrol inspection has the disadvantages of heavy workload, no safety guarantee, low inspection efficiency, and untimely troubleshooting. Only using manual inspection for troubleshooting...

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Application Information

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IPC IPC(8): G06T7/00G06N3/04G06N3/08
CPCG06T7/0004G06N3/08G06T2207/20081G06T2207/20084G06T2207/30204G06T2207/10024G06T2207/30168G06N3/045
Inventor 程绳吴军董晓虎金哲姚京松辛巍潘尚智陈文白梁军易芬芬范杨胡昀洪晴时伟君魏莉芳王薇
Owner STATE GRID HUBEI ELECTRIC POWER CO LTD MAINTENANCE CO
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