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A method, system and readable storage medium for identifying defects in electrical equipment

A technology for power equipment and defect recognition, applied in neural learning methods, character and pattern recognition, image analysis, etc., can solve the problems of low defect recognition efficiency, missed and misjudged defect recognition, etc., to reduce missed and misjudged judgments. The probability of occurrence of the situation, the accurate identification ability, and the effect of improving the efficiency of operation and maintenance

Active Publication Date: 2022-01-25
JIANGMEN POWER SUPPLY BUREAU OF GUANGDONG POWER GRID
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Problems solved by technology

[0004] The present application provides a method, system, and readable storage medium for defect identification of electric equipment, which are used to solve the technical problems of missing and misjudgment in defect identification and low defect identification efficiency

Method used

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  • A method, system and readable storage medium for identifying defects in electrical equipment
  • A method, system and readable storage medium for identifying defects in electrical equipment
  • A method, system and readable storage medium for identifying defects in electrical equipment

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Embodiment Construction

[0048] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0049] At present, during the use of power equipment, with the aging of equipment and the influence of thunderstorm exposure, there will be different degrees of damage to power equipment that will cause defects in use. Among them, the main defects exist in the electrical wire itself, the bridge connection medium , such as safety defects such as porcelain bearers an...

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Abstract

This application discloses a method, system, and readable storage medium for identifying defects in electrical equipment. This method can obtain the operating status pictures of electronic equipment through the automatic inspection of drones, and identify them through the pre-trained defect identification neural network. The type of defect in the running status picture, so that the ability to identify defect changes is more accurate. Compared with manual verification, the probability of missed and misjudgment is reduced, and the efficiency of defect identification is also improved. At the same time, according to the identified target defect type, it matches and outputs the corresponding defect elimination measure list in the pre-stored defect measure library to improve the efficiency of operation and maintenance.

Description

technical field [0001] The present application relates to the technical field of power fault detection, and in particular to a method, system and readable storage medium for identifying defects in power equipment. Background technique [0002] At present, many places in China have begun to set up automatic cruising low-voltage lines. The method of low-voltage line inspections has gradually changed from human inspections to drone inspections. It mainly inspects the complex environment around the lines in the lines. Among them, Guangdong Province Enping Electric Power Bureau of Jiangmen City has completed the full coverage of the automatic cruise of 10kV overhead lines. The automatic cruise has the functions of automatic driving and fixed-point photography. Its RTK positioning error is even within 10cm. With the support of this powerful function, "machine patrol" It is also gradually replacing the "human patrol", but at present, the equipment images collected through automatic...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06K9/62G06N3/04G06N3/08
CPCG06T7/0004G06N3/08G06T2207/10016G06T2207/20081G06T2207/20084G06T2207/30108G06T2207/30181G06N3/047G06N3/045G06F18/2415G06F18/241
Inventor 吴飞鹏李豪天姚绮明郑竟图岑耀扬伍梓超冯浩鹏黄毅成李天福郑敏亮
Owner JIANGMEN POWER SUPPLY BUREAU OF GUANGDONG POWER GRID
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