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Photovoltaic panel defect detection method and system

A photovoltaic panel and defect detection technology, applied in neural learning methods, image analysis, image enhancement, etc., can solve the problems of low detection efficiency, large error of detection results, slow detection speed, etc., and achieve low detection cost, high accuracy, Detect fast effects

Pending Publication Date: 2022-05-13
CHINA THREE GORGES CORPORATION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the prior art, the defect detection of photovoltaic panels still relies on manual detection, which has problems such as slow detection speed, low detection efficiency, and large error in detection results.

Method used

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  • Photovoltaic panel defect detection method and system
  • Photovoltaic panel defect detection method and system
  • Photovoltaic panel defect detection method and system

Examples

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Effect test

Embodiment 1

[0026] A photovoltaic panel defect detection method, comprising: acquiring an image of the photovoltaic panel; preprocessing the acquired image of the photovoltaic panel, and then inputting an improved PP-YOLO photovoltaic panel defect detection model to acquire and output defect information.

[0027] Such as figure 1 As shown, the method specifically includes the following steps.

[0028] Step 1: Obtain the image of the photovoltaic panel; transmit the real-time video of the photovoltaic panel collected by the infrared camera of the inspection drone to the ground station server through the image-digital integrated transmission module, and extract the image frame from the video.

[0029] Step 1-1, the infrared camera of the UAV collects real-time monitoring scene video and transmits it to the ground terminal through the image-digital integrated transmission module.

[0030] Step 1-2, extracting an image every N frames, and performing a preprocessing operation on the image acc...

Embodiment 2

[0044] Based on the photovoltaic panel defect detection method described in Embodiment 1, this embodiment provides a photovoltaic panel defect detection system, including: an image acquisition module, used to acquire an image of a photovoltaic panel; an image detection module, used to detect the acquired The image of the photovoltaic panel is preprocessed, and then input into the improved PP-YOLO photovoltaic panel defect detection model to obtain and output defect information.

[0045] The image acquisition module is communicatively connected with the ground end of the image-digital integrated transmission module configured on the ground station, and the ground end of the image-digital integrated transmission module is connected with the sky end of the image-digital integrated transmission module configured on the inspection drone ; The sky terminal of the image-digital integrated transmission module communicates with the infrared camera configured on the inspection UAV, and t...

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Abstract

The invention discloses a photovoltaic panel defect detection method and system in the technical field of photovoltaic power generation. The photovoltaic panel defect detection method comprises the following steps: acquiring an image of a photovoltaic panel; the obtained image of the photovoltaic panel is preprocessed, then the improved PP-YOLO photovoltaic panel defect detection model is input, and defect information is obtained and output. The method avoids the complex work of manual feature extraction, and has the advantages of low detection cost, high detection speed, high accuracy and the like.

Description

technical field [0001] The invention belongs to the technical field of photovoltaic power generation, and in particular relates to a photovoltaic panel defect detection method and system. Background technique [0002] In recent years, computer vision technology based on deep convolutional neural networks has achieved world-renowned achievements, which have promoted the development of unmanned driving, surveillance video, virtual reality, healthcare, intelligent security and other technologies. Photovoltaic panel defect detection is an important research content in intelligent security technology, and it is also one of the research hotspots in the field of computer vision. In the prior art, the defect detection of photovoltaic panels still relies on manual detection, which has problems such as slow detection speed, low detection efficiency, and large errors in detection results. Contents of the invention [0003] In order to solve the deficiencies in the prior art, the pre...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/00G06N3/04G06N3/08
CPCG06T7/0004G06N3/084G06N3/045G06T5/90G06T5/70
Inventor 王方政孙勇刘喜泉张亚平李鹏郑开元李哲
Owner CHINA THREE GORGES CORPORATION
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