Semantic segmentation-based aerial photography transmission line broken strand identification method and system

A technology for semantic segmentation and transmission lines, which is applied in the field of image processing and can solve problems such as resource consumption, efficiency reduction, and error in detection results.

Active Publication Date: 2021-06-08
SHANGHAI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This operation needs to retrieve the materials in the database for each detection. Not only is the operation repeated, but also there are a lot of errors

Method used

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  • Semantic segmentation-based aerial photography transmission line broken strand identification method and system
  • Semantic segmentation-based aerial photography transmission line broken strand identification method and system
  • Semantic segmentation-based aerial photography transmission line broken strand identification method and system

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Embodiment Construction

[0060] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following implementation example.

[0061] Such as figure 1 Shown is a flowchart of a semantic segmentation-based method for identifying scattered and broken strands of an aerial transmission line according to an embodiment of the present invention.

[0062] Please refer to figure 1 , the method for identifying scattered and broken strands of aerial transmission lines based on semantic segmentation in this embodiment includes:

[0063] S11: Obtain aerial photography transmission line sample images to form a sample library;

[0064] S12: Construct a semantic segmentation convolutional neural network model, and use the aerial transmission line sampl...

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Abstract

The invention discloses an aerial photography power transmission line broken strand identification method and device based on semantic segmentation. The method comprises the steps: acquiring aerial photography power transmission line sample images to form a sample library; constructing a semantic segmentation convolutional neural network model, and training the constructed semantic segmentation convolutional neural network model by using the aerial power transmission line sample image; using the trained semantic segmentation convolutional neural network model to detect an aerial power transmission line image to be detected, and outputting a segmentation mask graph of a detected normal conductor and a suspected broken strand; and judging whether a detection result is correct or not by utilizing a spatial context relationship between the normal wire and the broken strand according to the segmented mask pattern. According to the invention, the accuracy and the detection efficiency are improved, manual detection is avoided, and manpower and material resources are saved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a semantic segmentation-based method and system for identifying scattered and broken strands of an aerial transmission line. Background technique [0002] In actual daily work, in order to grasp the operation status of the line and eliminate potential hidden dangers of the line in time, my country's power system spends huge manpower, material resources and financial resources on inspections every year. The traditional inspection management method can no longer meet the requirements of line management. Manual line inspection is not only labor-intensive, but also time-consuming and inefficient. Some line sections are restricted by terrain factors and even cannot be inspected. The inspection mode has been difficult to meet the requirements of reliable and efficient lean management. Therefore, it is of great significance to study how to use a new, intelligent and ef...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06N3/04G06N3/08
CPCG06N3/084G06V20/176G06V10/267G06N3/045Y04S10/50
Inventor 韩军桑永龙赵傲伟杨乙丁
Owner SHANGHAI UNIV
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