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Photovoltaic panel hot spot defect detection method and device for photovoltaic power station

A photovoltaic panel and defect detection technology, applied in photovoltaic power generation, image analysis, image enhancement and other directions, can solve the problems of complex background, affecting the performance of detection network, and unsatisfactory detection effect, so as to improve detection accuracy, avoid complex work, reduce effect of influence

Pending Publication Date: 2022-06-07
CHINA THREE GORGES CORPORATION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the detection effect of most object detection networks is not ideal, whether it is a single-stage detection network or a two-stage detection network.
This is because the background in the infrared image is often complex, not only the target of the photovoltaic panel, but also various objects such as trees, weeds, rivers, animals, etc. These heat sources will greatly affect the performance of the detection network

Method used

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  • Photovoltaic panel hot spot defect detection method and device for photovoltaic power station
  • Photovoltaic panel hot spot defect detection method and device for photovoltaic power station
  • Photovoltaic panel hot spot defect detection method and device for photovoltaic power station

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Embodiment 1

[0056] The present embodiment introduces a photovoltaic panel hot spot defect detection method and apparatus for photovoltaic power station, comprising:

[0057] Acquire low-altitude infrared images of photovoltaic panels;

[0058] The low-altitude infrared image of the photovoltaic panel is input into the pre-built Deeplabv3+ photovoltaic panel semantic segmentation model, and the color mask corresponding to the infrared image of the photovoltaic panel is obtained;

[0059] Based on OpenCV, the color mask is read in a binary way, and the low-altitude infrared image of the photovoltaic panel is added pixel by pixel, and the infrared image of the photovoltaic panel is obtained after the background is pure black;

[0060] The infrared image of the split photovoltaic panel is input into the pre-built YOOLOv5s photovoltaic panel hot spot defect detection model, and the photovoltaic panel hot spot defect detection is carried out to obtain the detection results.

[0061] as Figure 1 As ...

Embodiment 2

[0089] The present embodiment provides a photovoltaic panel hot spot defect detection device for photovoltaic power plants, comprising:

[0090] Acquisition unit for acquiring low-altitude infrared images of photovoltaic panels;

[0091] Color mask acquisition unit, used to input the low-altitude infrared image of the photovoltaic panel into the pre-built Deeplabv3+ photovoltaic panel semantic segmentation model, to obtain the corresponding color mask of the photovoltaic panel infrared image;

[0092]Segmentation unit, for reading the color mask in a binary way based on OpenCV, adding pixel by pixel with the low-altitude infrared image of the photovoltaic panel to obtain a split infrared image of the photovoltaic panel with a pure black background;

[0093] Detection unit for inputting the infrared image of the segmented photovoltaic panel into the pre-built YOOLOv5s photovoltaic panel hot spot defect detection model, performing photovoltaic panel hot spot defect detection, obtain...

Embodiment 3

[0095] The present embodiment provides a photovoltaic panel hot spot defect detection device for photovoltaic power plants, including processors and storage media;

[0096] The storage medium for storing instructions;

[0097] The processor is used to operate according to the instructions to perform the steps of the method according to either of embodiment 1.

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Abstract

The invention discloses a photovoltaic panel hot spot defect detection method and device for a photovoltaic power station. The method comprises the following steps: acquiring a low-altitude infrared image of a photovoltaic panel; inputting the low-altitude infrared image of the photovoltaic panel into a pre-constructed Deeplabv3 + photovoltaic panel semantic segmentation model to obtain a color mask corresponding to the infrared image of the photovoltaic panel; reading a color mask in a binarization mode based on OpenCV, and adding the color mask and the photovoltaic panel low-altitude infrared image pixel by pixel to obtain a segmented photovoltaic panel infrared image with a pure black background; the segmented photovoltaic panel infrared image is input into a pre-constructed YOLOv5s photovoltaic panel hot spot defect detection model, photovoltaic panel hot spot defect detection is carried out, and a detection result is obtained.According to the method, a two-step method of first segmentation and second detection is adopted, the influence of an environment interference heat source on the performance of a neural network is effectively eliminated, and the detection precision is effectively improved.

Description

Technical field [0001] The present invention relates to a photovoltaic panel hot spot defect detection method and apparatus for photovoltaic power station, which belongs to the field of photovoltaic panel detection technology. Background [0002] Reducing carbon emissions has long been a consensus. Photovoltaic power generation as a clean energy, greatly reduced carbon emissions, in addition, photovoltaic power generation also has the advantages of easy equipment construction and low cost, high energy quality. China started late in the field of photovoltaics, but thanks to China's vast land area and rich solar resources in the west, China's photovoltaic industry has developed very rapidly, and China's photovoltaic installed capacity has ranked first in the world and is still developing rapidly. [0003] Photovoltaic installed capacity continues to increase at the same time also brought some problems, China's photovoltaic power plants are mostly located in remote, unattended, if s...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06V10/40G06T7/10
CPCG06T7/0006G06T7/10G06T2207/10004Y02E10/50
Inventor 王方政刘喜泉李鹏孙勇张亚平
Owner CHINA THREE GORGES CORPORATION