EL image detection and defect identification method for solar cells

A technology for solar cell and defect identification, applied in image enhancement, image analysis, image data processing, etc., can solve long-term problems, improve calculation efficiency and accuracy, and prevent falling into local convergence.

Active Publication Date: 2019-01-01
SUZHOU NUCLEAR POWER RES INST +2
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Problems solved by technology

However, the two-dimensional OTSU method often takes a long time to search for the optimal threshold, so its calculation cost is also the focus of research

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  • EL image detection and defect identification method for solar cells
  • EL image detection and defect identification method for solar cells
  • EL image detection and defect identification method for solar cells

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Embodiment Construction

[0040] The present invention will be further described below in conjunction with the accompanying drawings and embodiments, so that the advantages and characteristics of the present invention can be more easily understood by those skilled in the art.

[0041] The invention provides a solar cell EL image detection and defect identification method, which is used for EL image detection in the solar cell sorting test stage, see the attached figure 1 It is a flow chart of solar cell EL image detection and defect recognition. The method specifically includes the following steps:

[0042] (1) Image preprocessing and two-dimensional construction

[0043] For the same cell EL testing machine, the position consistency of the EL test image is very high. In order to eliminate the influence of the cell grid lines and grid line probes in the EL image detection process, the cell EL image is firstly preprocessed. Locate the image, delete each grid line and the corresponding width of the gri...

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Abstract

The invention relates to an EL (Electro Luminescence) image detection and defect identification method for solar cells. The EL image detection and defect identification method for solar cells includesthe following steps: (1) obtaining a to-be-detected EL image of a solar cell, positioning a gate line and performing region division; (2) deleting the gate line region, recombining the image, calculating the image gray value and performing two-dimensional construction (3) calculating the inter-class dispersion matrix of a particle swarm to determine the current optimal position; (4) updating theoptimal individual of the particle swarm and the historical optimal individual of the particles; (5) generating a new chaotic variable by means of a chaotic model; (6) updating the position and velocity of all particles of the particle swarm, recalculating until the number of iterations is reached; and (7) obtaining a defect image of the cell through segmenting according to the obtained optimal position, and performing defect identification. The EL image detection and defect identification method for solar cells is simple to implement, is high in operation velocity, can be adapted to differenttypes of defects, and can prevent local convergence by segmenting the EL image of the cell by mean of the chaotic particle swarm, thus obtaining a more accurate defect image.

Description

technical field [0001] The invention belongs to the technical field of industrial visual inspection and image processing, and in particular relates to a solar cell EL image detection and defect recognition method based on a chaotic particle swarm algorithm and a two-dimensional Otsu. Background technique [0002] With the deepening of concerns about environmental governance and the vigorous development of distributed photovoltaic energy, according to statistics, as of 2017, the cumulative installed capacity of photovoltaic power generation in my country has reached 130GW, ranking first in the world. In 2017, my country's solar cell production was about 68GW, accounting for about 68% of the global cell production capacity. The solar energy industry has become the fastest growing energy field in recent years. [0003] With the continuous advancement of technology and the maturity of the industrial chain, photovoltaic modules are developing in the direction of high power and h...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02S50/10G06T7/00G06T7/11G06T7/136
CPCG06T7/0008G06T7/11G06T7/136G06T2207/20081G06T2207/30148H02S50/10Y02E10/50
Inventor 倪彬彬邹平国张文中李强张镇滔陈亚彬
Owner SUZHOU NUCLEAR POWER RES INST
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