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Photovoltaic cell internal defect category detection method and system based on artificial intelligence

An internal defect, photovoltaic cell technology, applied in the field of artificial intelligence to improve work efficiency and prevent damage

Inactive Publication Date: 2020-12-25
陈松山
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to solve the above-mentioned technical problems, the object of the present invention is to provide an artificial intelligence-based photovoltaic cell internal defect category detection method and system, and the adopted technical solutions are as follows:

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  • Photovoltaic cell internal defect category detection method and system based on artificial intelligence
  • Photovoltaic cell internal defect category detection method and system based on artificial intelligence
  • Photovoltaic cell internal defect category detection method and system based on artificial intelligence

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Embodiment Construction

[0024] In order to further explain the technical means and effects of the present invention to achieve the intended purpose of the invention, the method and system for detecting internal defects in photovoltaic cells based on artificial intelligence proposed according to the present invention will be described below in conjunction with the accompanying drawings and preferred embodiments. The specific embodiment, structure, feature and effect thereof are described in detail as follows. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0025] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention.

[0026] The specific solutions of the ar...

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Abstract

The invention relates to the technical field of artificial intelligence, in particular to a photovoltaic cell internal defect category detection system based on artificial intelligence. The system comprises a cell panel defect module, an internal defect analysis module and a defect category judgment module, wherein the cell panel defect module is used for obtaining a semantic image of a cell paneldefect area to obtain a minimum exterior rectangle of the defect area; the internal defect analysis module is used for obtaining the area proportion A of the defect area in the minimum exterior rectangular area, the dispersion degree V of the temperature of a cell panel and the power generation efficiency mu of the minimum exterior rectangular area of the defect area; and the defect category judgment module is used for judging the defect category through a judgment function H and a preset threshold value according to the defect category judgment function H constructed by the area proportion A, the dispersion degree V of the temperature of the cell panel and the power generation efficiency mu of the minimum exterior rectangular area. According to the system, three parameters including thedefect area proportion, the cell panel temperature distribution dispersion degree and the cell panel efficiency are integrated, a defect category judgment function is constructed, and the defect category recognition rate is increased through the judgment function.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based method and system for detecting internal defect types of photovoltaic cells. Background technique [0002] Photovoltaic cell defects refer to hidden defects that may occur in the battery cells that are not easy to detect with the naked eye when the cells or battery components are subjected to large mechanical or thermal stress. The current generated by the battery sheet is collected and exported by "the main grid lines on the surface and the thin grid lines perpendicular to the main grid lines". When the defect causes the thin grid line to break, the thin grid line cannot transmit the collected current to the main grid line, which will lead to partial or even complete failure of the cell. [0003] Studies have shown that severe component defects will lead to loss of component power, but the magnitude of the loss is not certain. L...

Claims

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Application Information

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IPC IPC(8): G01N21/88G01N25/72H02S50/10
CPCG01N21/8851G01N25/72G01N2021/8874G01N2021/8887H02S50/10Y02E10/50
Inventor 陈松山房桂丽
Owner 陈松山