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Power transmission channel target object identification method and system

A technology of power transmission channel and identification method, which is applied in the field of power transmission channel target identification method and system, can solve the problems of being easily affected by weather, environment, light, etc., and the accuracy and effectiveness are limited, and achieve the goal of avoiding abnormal target size Influence, improve accuracy, improve the effects of limitations

Pending Publication Date: 2020-09-11
DONGYING POWER SUPPLY COMPANY STATE GRID SHANDONG ELECTRIC POWER +1
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  • Application Information

AI Technical Summary

Problems solved by technology

This kind of technology is mostly recognized by detecting the edge contour of the target. This kind of processing technology is easily affected by weather, environment, light, etc. in practical applications, and its accuracy and effectiveness are limited.

Method used

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  • Power transmission channel target object identification method and system
  • Power transmission channel target object identification method and system
  • Power transmission channel target object identification method and system

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Embodiment 1

[0035] This embodiment discloses a method for identifying objects in power transmission channels. According to the characteristics of power transmission channel images, the number of network layers is increased while maintaining a small amount of calculation, and the feature mapping module is enriched to provide more accurate semantic information for the prediction layer. An iterative clustering algorithm based on IOU is proposed, and the clustering method directly measured by IOU avoids the unbalanced loss caused by the size of the prediction frame. The predicted position of the target is improved, and the accurate identification of the target in the power transmission channel is realized.

[0036] A YOLOv3-MobileNet algorithm proposed in this embodiment uses an intersection-merging ratio clustering algorithm to increase the number of network layers and increase the calculation speed while maintaining a small amount of calculation. The algorithm is designed when building the ...

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Abstract

The invention provides a power transmission channel target object identification method and system. The method comprises the steps: acquiring an image containing a target object needing to be identified as a training set image; labeling different target objects on the training set images; constructing an image identification deep learning network, inputting the labeled images into the network, andsearching for optimal network parameters according to different target objects to complete image training; and transmitting the to-be-detected image to the trained image identification deep learningnetwork, and identifying a target object in the image. And the number of network layers is increased under the condition of maintaining a small calculation amount, so that the calculation speed is increased.

Description

technical field [0001] The present disclosure belongs to the technical field of image recognition, and in particular relates to a method and system for identifying a power transmission channel target. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] High-voltage transmission lines are the main equipment for transmitting electric energy and an important part of the power system. Transmission lines generally need to pass through complex geographical environments, and the structure of the line itself is relatively complex. Once the transmission line channel fails, it will have a bad impact on the stability of the power system. Therefore, the detection of dangerous objects in power transmission channels is very important. [0004] The inventor found in the research that the traditional detection of dangerous objects in transmission channels...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/00G06V20/52G06V10/25G06V2201/07G06N3/045G06F18/23G06F18/22G06F18/214Y04S10/50
Inventor 穆晓辰宁文波王常欣张冲代桃桃钱升周学坤李常勇成如如马超贺文君李冬冬张正
Owner DONGYING POWER SUPPLY COMPANY STATE GRID SHANDONG ELECTRIC POWER
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