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Image recognition method for intelligent transmission line patrol

A transmission line and image recognition technology, applied in the field of remote monitoring, to reduce workload and improve accuracy

Inactive Publication Date: 2013-08-28
CHENGDU SIHAN TECH
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings of manual fault identification in the prior art, and provide an image recognition method for intelligent line inspection of power transmission lines. The method of the present invention can realize automatic fault identification without manual inspection. Fault judgment, realizing intelligent line inspection of transmission lines

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  • Image recognition method for intelligent transmission line patrol
  • Image recognition method for intelligent transmission line patrol
  • Image recognition method for intelligent transmission line patrol

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Embodiment Construction

[0018] The present invention will be further described in detail below in conjunction with test examples and specific embodiments. However, it should not be understood that the scope of the above subject matter of the present invention is limited to the following embodiments, and all technologies realized based on the content of the present invention belong to the scope of the present invention.

[0019] An image recognition method for intelligent line inspection of transmission lines listed in this embodiment, first establishes a feature vector library, and uses an SVM classifier to perform initial training on the feature vector library to obtain a classification surface; then perform defect detection on the collected pictures Recognition, that is, the image features of the collected pictures are classified and judged through the classification surface. If the image features of the collected pictures are classified into the category of expressing defects, it is judged that the...

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Abstract

The invention belongs to the technical field of remote monitoring, and discloses an image recognition method for intelligent transmission line patrol. The image recognition method comprises the following steps of: building a characteristic vector library, and using a classifier to carry out the initial training on the characteristic vector library, so that a classification surface is trained; and then judging the image characteristics of pictures collected in the line patrol process by classification through the classification surface, if the image characteristics of the pictures collected in the line patrol process are classified as a class for expressing defects, then judging that the pictures collected in the line patrol process have the defects, i.e., judging that a transmission line fails. Through the method provided by the invention, the defects of the collected pictures are recognized, so that the fault recognition of each picture by naked eyes is avoided, the intelligent transmission line patrol is realized, and the workload of workers is greatly reduced.

Description

technical field [0001] The invention relates to the technical field of remote monitoring, in particular to an image recognition method for intelligent line inspection of power transmission lines. Background technique [0002] In recent years, with the development and improvement of the grid structure, the construction of high-voltage and ultra-high-voltage transmission lines has developed rapidly. Because the transmission lines are exposed to the wild all year round, they will be attacked by natural weather such as wind, snow, rain, fog, etc., they will be threatened by natural disasters such as floods, earthquakes, and mudslides, and they will also be subject to human factors such as rock mining, construction blasting, and theft and destruction. damage, the safe operation of the transmission line is seriously threatened. Inspection of the transmission line's operating status and changes in the surrounding environment (discovering equipment failures and hidden dangers that ...

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Application Information

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IPC IPC(8): G06K9/66
Inventor 张龙飞王银利
Owner CHENGDU SIHAN TECH
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