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A detection method for wire splitting defects of transmission lines

A transmission line and defect detection technology, which is applied in the field of image recognition, can solve the problems of delay in issuing inspection analysis and reports, large restrictions on outbound work arrangements, and unfavorable line operation conditions, so as to save manpower inspection time and improve work. Overall efficiency, the effect of improving the degree of intelligence

Active Publication Date: 2021-07-09
CHENGDU SIHAN TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Super-large video and images bring a huge workload to post-analysis and processing, resulting in the status quo that the inspection analysis and report cannot be issued after the line inspection is completed, which is extremely unfavorable for timely grasping the operation status of the line
At the same time, the operation team needs to invest a large number of people in the inspection image analysis, and there are relatively large restrictions on the arrangement of out-of-home operations. At the same time, the results of manual-based defect analysis are easily affected by the skill level and experience of the personnel themselves, and manual analysis of inspection images also reduces the Image recognition efficiency is a great waste of human resources

Method used

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Embodiment Construction

[0016] The wire splitting defect detection method of the transmission line according to the present invention comprises the following steps:

[0017] A. Obtain the wire RGB image of the transmission line;

[0018] B. Preprocessing the obtained wire RGB image; the specific preprocessing method is as follows: first, the input RGB image is converted into a grayscale image, and the converted grayscale image is image enhanced using the Retinex algorithm, and the acquired The image of the image is processed by the Retinex algorithm because the color of the acquired image is affected by the light, and the color changes. Using the Retinex algorithm, part of the light effect of the image can be removed, so that the color of the object can be kept constant; then the image is scaled, because The original image is a high-definition image. In order to calculate quickly, three times of spline interpolation are used to scale the grayscale image after histogram equalization, reducing the gray...

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Abstract

The invention discloses a detection method for the wire splitting defect of the transmission line which can intelligently identify the wire splitting defect of the power transmission line. The wire split defect detection method of the transmission line preprocesses the image; then separates the wire from the background image through image segmentation; then performs feature extraction on the wire image; finally conducts split recognition on the wire; the whole process can be controlled by a computer Automatic completion can realize the intelligent processing of transmission line inspection data, and can intelligently identify the wire splitting defects of transmission lines, which greatly improves the identification efficiency, and such efficiency will greatly improve the problems existing in manual observation, avoiding human experience or work. Misjudgments and missed judgments caused by intensity fatigue can improve the overall efficiency of the work, improve the refined management mode, improve the degree of intelligence, save a lot of manpower checking time and save a lot of economic investment. It is suitable for popularization and application in the field of image recognition technology.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a detection method for a wire splitting defect of a power transmission line. Background technique [0002] In the UAV inspection stage of transmission lines, the current inspection image analysis is mainly carried out manually. Super-large video and images bring a huge workload to post-analysis and processing, resulting in the status quo that the inspection analysis and report cannot be issued after the inspection of the line is completed, which is extremely unfavorable for timely grasping the operation status of the line. At the same time, the operation team needs to invest a large number of people in the inspection image analysis, and there are relatively large restrictions on the arrangement of out-of-home operations. At the same time, the results of manual-based defect analysis are easily affected by the skill level and experience of the personnel themselves, and ma...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T7/155G06T7/194G06T3/40
CPCG06T3/4007G06T7/0004G06T2207/10024
Inventor 苏永生
Owner CHENGDU SIHAN TECH