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Method for intelligently classifying and naming unmanned aerial vehicle patrol pictures of power transmission line

A technology of transmission line and classification method, applied in the field of unmanned aerial vehicle data processing, can solve the problem of image recognition and processing requiring a lot of time and labor, and achieve the effect of improving efficiency

Pending Publication Date: 2021-11-26
MAINTENANCE BRANCH OF STATE GRID FUJIAN ELECTRIC POWER
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] However, when the number of pictures generated by UAV patrol work is huge, it still takes a lot of time and labor to identify and process the pictures.

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  • Method for intelligently classifying and naming unmanned aerial vehicle patrol pictures of power transmission line

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Embodiment Construction

[0021] As shown in the figure, a method for intelligent classification and naming of transmission line UAV inspection pictures includes an intelligent classification method and an intelligent naming method. , the intelligent classification method classifies the UAV inspection pictures by constructing the basic information database of the operation and maintenance line. When man-machine inspection pictures are classified, the distance between the shooting point and the tower is calculated based on the latitude and longitude of the reference point of the tower and the latitude and longitude coordinate information of the shooting point in the inspection picture, and the inspection picture is assigned to the tower according to the distance threshold range of the calculation result Lines and pole numbers are classified;

[0022] The intelligent naming method first specifies the patrol operation of the UAV, and then conducts subsequent intelligent identification and naming of the pi...

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Abstract

The invention provides a method for intelligently classifying and naming unmanned aerial vehicle patrol pictures of a power transmission line. The method comprises the following steps: constructing an operation and maintenance line basic information base, and carrying out classification on the unmanned aerial vehicle patrol pictures, and enabling the operation and maintenance line basic information base to store a pole number, the latitude and longitude of a pole tower reference point, and a pole tower attribution line; and when the imported unmanned aerial vehicle patrol pictures are classified, calculating a distance between a shooting point and a pole tower according to the latitude and longitude of the pole tower reference point and the latitude and longitude coordinate information of the shooting point in the patrol pictures, and classifying the patrol pictures according to the pole tower attribution line and the pole number based on a distance threshold range of a calculation result. According to the intelligent naming method, unmanned aerial vehicle patrol operation is stipulated at first, and then power transmission equipment component pictures in the patrol pictures are subjected to subsequent intelligent recognition naming in combination with a patrol picture classification result. According to the method, the unmanned aerial vehicle patrol pictures can be automatically classified and named, and time and labor cost are saved.

Description

technical field [0001] The invention relates to the technical field of UAV data processing, in particular to a method for intelligently classifying and naming UAV inspection pictures of power transmission lines. Background technique [0002] The existing UAV patrol picture classification and naming schemes mainly include: [0003] 1. Manually identify the pictures, and use the fixed field combination function in the auxiliary software to manually select and combine. Realize picture naming and archiving functions. More effective sorting and archiving of drone pictures. [0004] 2. Use the fixed field combination function in the auxiliary software to carry out the manual naming and filing method of manual selection and combination. It can improve work efficiency to a certain extent and shorten the entire working time by about 20%, but the effect is not obvious. [0005] However, when the number of pictures generated by drone inspections is huge, the identification and proc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/04G06N3/08G06F18/24
Inventor 黄凯周晓刚陈兴宝周阳高辉倪孟华俞超峰詹文才蒋建萍熊雷陈天民
Owner MAINTENANCE BRANCH OF STATE GRID FUJIAN ELECTRIC POWER