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Line foreign matter hanging detection method based on LSD algorithm and machine learning

A technology of machine learning and detection methods, applied to computer parts, instruments, calculations, etc., can solve the problems of easy omission and misreporting of key information, easy omission of key information, etc., and achieve the effect of reducing the incidence of accidents

Inactive Publication Date: 2016-12-14
STATE GRID FUJIAN ELECTRIC POWER CO LTD +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the amount of images or video data acquired during the aerial inspection process is very large. If the method of manual screening, manual analysis and judgment is used to directly process the huge video and picture information, it is undoubtedly very hard work and very difficult. It is easy to miss key information; if manual online monitoring, real-time judgment and detection of abnormalities in power transmission and transformation lines are used, it will be more difficult work, and it is easier to miss and misreport key information

Method used

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  • Line foreign matter hanging detection method based on LSD algorithm and machine learning
  • Line foreign matter hanging detection method based on LSD algorithm and machine learning
  • Line foreign matter hanging detection method based on LSD algorithm and machine learning

Examples

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Embodiment 1

[0018] A detection method based on the LSD algorithm and machine learning for foreign objects on the line, which is realized by the following steps:

[0019] (1) First, a large number of images are taken from the transmission line by the drone, and the image is reduced to 80% of the original size, and then the gradient value and gradient magnitude of each pixel of the image are calculated separately. The calculation formula is expressed as follows:

[0020] g x ( x , y ) = i ( x + 1 , y ) + i ( x + 1 , y + 1 ...

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Abstract

The invention discloses a line foreign matter hanging detection method based on the LSD algorithm and the machine learning. By introducing the computer vision analysis technology having the artificial intelligence meaning, a current patrol system is enabled to have human eye identification capability and human brain analysis capability. Through the vision analysis, a hidden threatening event that a foreign matter is hanged on a power transmission line is identified and analyzed, a real-time early-warning is achieved and the accident occurrence rate is reduced.

Description

technical field [0001] The invention relates to a detection method for foreign objects on a line, in particular to a method for detecting foreign objects on a line based on an LSD algorithm and machine learning. Background technique [0002] Transmission lines play a very important role in the power system and are directly related to the electricity consumption of thousands of households. Large-scale power outages will bring immeasurable losses to the national economy. Therefore, the safety of transmission lines is one of the issues of great concern to the power sector. In recent years, there have been incidents that endanger the safety of the power grid due to the flying of kites and balloons in various places, and many of them have caused serious tripping accidents. Suspension of such foreign objects on transmission lines not only shortens the limit discharge distance of high-voltage electricity, endangers the safety of pedestrians and vehicles under the power line, and e...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06V10/752G06F18/214
Inventor 林朝辉王力群吴冰莹王景
Owner STATE GRID FUJIAN ELECTRIC POWER CO LTD
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