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Electric power equipment infrared image real-time detection and identification method based on artificial intelligence

A technology for electrical equipment and infrared images, applied in character and pattern recognition, instruments, biological neural network models, etc., to achieve good accuracy and generalization performance, improve detection accuracy, and reduce memory costs.

Active Publication Date: 2021-02-19
GUANGXI UNIV
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AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide an artificial intelligence-based real-time detection and recognition method of infrared images of power equipment, which can reduce the influence of factors such as complex background, low contrast, similar target features, and large aspect ratio on detection accuracy. , reduce the problems of false detection, missed detection or repeated detection, greatly improve the detection accuracy, realize the effective monitoring of infrared images under the complex background of power equipment, and ensure the safe and real-time detection of power equipment

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  • Electric power equipment infrared image real-time detection and identification method based on artificial intelligence
  • Electric power equipment infrared image real-time detection and identification method based on artificial intelligence
  • Electric power equipment infrared image real-time detection and identification method based on artificial intelligence

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Embodiment Construction

[0062] like figure 1 Among them, an artificial intelligence-based method for real-time detection and recognition of infrared images of electric power equipment includes the following steps:

[0063] S1. Obtain infrared images of various electrical equipment through infrared thermal imagers; such as figure 2 As shown in , four kinds of electrical equipment are preferred, including arresters, transformers, insulators, and circuit breakers.

[0064] In a preferred solution, the four acquired infrared images of electric power equipment are infrared images captured by substation technicians on-site with handheld infrared thermal imaging cameras or obtained by inspection robots carrying infrared thermal imaging cameras in substations.

[0065] In an optional solution, the obtained data set is preprocessed with data enhancement methods such as rotation and symmetry to expand the data set and form a data set applied to the model.

[0066] S2. Preprocessing the acquired image to for...

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Abstract

The invention provides an electric power equipment infrared image real-time detection and identification method based on artificial intelligence. The method comprises the following steps of S1, acquiring infrared images of various types of electric power equipment through an infrared thermal imager; S2, preprocessing an acquired image to form an effective power equipment infrared image data set; S3, performing target label processing on the obtained data set; dividing the data set into a training set and a test set; S4, constructing an improved YOLOv4 real-time detection model for detecting and identifying an infrared image target of the power equipment; S5, training and parameter adjustment of the model are carried out by using a training set in the data set; and S6, performing target detection and identification on the trained model by using a test set in the data set to prove the effectiveness of the model; through the above steps, automatic detection and identification of infraredimages of various types of power equipment are realized; the accuracy degree of identification can be greatly improved, detection and identification efficiency is improved, and operation resources areeffectively utilized.

Description

technical field [0001] The invention relates to the field of safety monitoring of the operating state of electric equipment, in particular to an artificial intelligence-based real-time detection and identification method for infrared images of electric equipment. Background technique [0002] The safe and stable operation of power equipment is the key to ensuring reliable power supply of the power grid. By inspecting the equipment to detect the operating status of the power equipment, accidents caused by equipment defects or failures can be prevented. Infrared thermal imaging technology provides a non-contact detection method to obtain thermal state information of power equipment, so that the state detection of power equipment can be carried out without power failure, and is widely used in live detection of power equipment. The infrared image of the power equipment can display its temperature distribution and range, and the temperature of different parts of the equipment ca...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04
CPCG06V20/52G06V10/454G06V2201/07G06N3/048G06N3/045G06F18/23213G06F18/24G06F18/214
Inventor 郑含博李金恒平原刘洋孙永辉崔耀辉张潮海
Owner GUANGXI UNIV
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