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UAV power inspection image key power component automatic diagnosing and marking system

A power inspection and automatic diagnosis technology, which is applied to computer components, measuring electricity, measuring electrical variables, etc., can solve problems such as low efficiency, misjudgment, visual fatigue, etc., and achieve the effect of improving image labeling and power inspection efficiency

Inactive Publication Date: 2018-11-06
FUZHOU UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the inspection image analysis is mainly done manually. A large number of inspection images bring great challenges to the later data analysis and processing. The power inspection personnel analyze the power inspection images through eyes for a long time, which is not only inefficient, but also very easy Visual fatigue, resulting in serious misjudgments or missed judgments

Method used

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  • UAV power inspection image key power component automatic diagnosing and marking system
  • UAV power inspection image key power component automatic diagnosing and marking system
  • UAV power inspection image key power component automatic diagnosing and marking system

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Embodiment Construction

[0023] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0024] The present invention is an automatic diagnosis and labeling system for key power components of UAV power inspection images, such as figure 1 As shown, it includes a power component target detection module, a power component fault detection module, a human-computer interaction module that provides human-computer interaction functions, a labeling module, and a UAV power inspection image library. In the pre-training stage, the system obtains the unmanned aerial vehicle power inspection images to be marked, and marks the power component category and component location information for some of the unmanned aerial vehicle power inspection images to be marked, as well as the corresponding power component fault status and fault location information, make a power component target detection model pre-training data set and a power component f...

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Abstract

The invention relates to a UAV (unmanned aerial vehicle) power inspection image key power component automatic diagnosing and marking system which comprises a power component target detection module, apower component fault detection module, a human-computer interaction module providing a human-computer interaction function, a marking module and a UAV power inspection image library. According to the system, the intelligent automatic diagnosing and marking of a UAV power inspection image is achieved, the workload of the inspection personnel is reduced, the inspection efficiency and the accuracyrate are improved, and a data support is provided for the application of artificial intelligence in the field of power inspection key power component identification and fault detection. At the same time, the standardization of power inspection image storage and marking is promoted.

Description

technical field [0001] The invention relates to the fields of artificial intelligence, computer technology, grid operation inspection and maintenance technology, and power monitoring technology, in particular to an automatic diagnosis and labeling system for key power components in power inspection images of drones. Background technique [0002] With the development of economy and society, the power generation and power consumption are increasing year by year. As the scale of the power grid continues to expand, the workload of inspection and maintenance of transmission lines has also increased. The power sector has to spend huge manpower and material resources on inspection and maintenance work every year. In recent years, with the development of UAV technology, it has become more and more common to use UAV aerial photography to conduct power inspections. By analyzing the image data obtained by UAV aerial photography, it is possible to discover the existence of failure cond...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/00G06K9/62
CPCG01R31/00G06F18/24G06F18/214
Inventor 缪希仁刘志颖江灏陈静林志成庄胜斌刘欣宇
Owner FUZHOU UNIV
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