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Wide temperature range recognition method of infrared images of power transmission and transformation equipment based on deep learning

A technology of power transmission and transformation equipment and infrared images, applied in the direction of neural learning methods, character and pattern recognition, instruments, etc., to achieve the effect of improving accuracy and facilitating fault analysis and diagnosis

Active Publication Date: 2021-03-19
ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY +1
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Problems solved by technology

[0005] The purpose of the present invention is to provide a deep learning-based infrared image temperature wide range recognition method for power transmission and transformation equipment, aiming to solve the problem of equipment failure analysis and diagnosis due to the lack of layer information in the prior art, and to realize the lack of layer information Image recognition for information, improve accuracy, and facilitate fault analysis and diagnosis of power transmission and transformation equipment

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  • Wide temperature range recognition method of infrared images of power transmission and transformation equipment based on deep learning
  • Wide temperature range recognition method of infrared images of power transmission and transformation equipment based on deep learning
  • Wide temperature range recognition method of infrared images of power transmission and transformation equipment based on deep learning

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Embodiment Construction

[0046] In order to clearly describe the technical characteristics of the present plan, the present invention will be described in detail below by way of specific embodiments, and combined with the drawings. The disclosure of which provides many different embodiments or examples of different embodiments of the invention. To simplify the disclosure of the present invention, the components and arrangements of a particular example are described below. Further, the present invention can repeat the reference numerals and / or letters in different examples. This repetition is to simplify and clarify the purpose, which itself does not indicate the relationship between the various embodiments and / or settings discussed. It should be noted that the components illustrated in the drawings are not necessarily drawn. The present invention omits the description of well-known components and processing techniques and processes to avoid unnecessary limitation.

[0047] Next, a depth range identifi...

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Abstract

The present invention provides a method for identifying a wide temperature range of infrared images of power transmission and transformation equipment based on deep learning. The method includes: S1, intercepting the area to be processed in the infrared image; S2, using the RPCA algorithm to optimize the subsequent digital area to be extracted; S3, treating Extract the digital area for expansion processing to form connected areas and extract the connected area with the highest weight; S4. Segment individual digital areas through binarization operations; S5. Use sample data for deep learning, and perform segmentation according to the training model and classifier The digital area is identified; S6, merge the identification results. The present invention solves the problem of analyzing and diagnosing equipment faults affected by lack of layer information in the prior art, realizes information recognition on images with missing layer information, improves accuracy, and facilitates fault analysis and diagnosis of power transmission and transformation equipment .

Description

Technical field [0001] The present invention relates to the field of infrared image identification field of transmission electrical power generation, in particular, based on deep learning, an infrared image temperature wide range identification method. Background technique [0002] As a main transmission electrical equipment, the infrared diagnostic technology has an important role in monitoring the state of monitoring and transforming the transformation equipment. The infrared diagnostic technology is thermally imagined with infrared electrical electrical imaging. The heat imaging is used to perform state monitoring of the transmission electrical device. It is widely used in the normal state in normal state, and infrared diagnostic techniques are widely used in the field of transmission. [0003] In the imaging process, the infrared thermal imagery will be displayed and stored in conjunction with the selected palette and the actual measured temperature to display and store the s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06K9/46G06N3/08
CPCG06N3/08G06V10/44G06F18/2135
Inventor 林颖秦佳峰辜超郭志红白德盟李程启杨祎张皓李娜朱梅徐冉张围围王斌
Owner ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY
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