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Photovoltaic cell bus corrosion condition analysis method based on image perception

A technology of photovoltaic cells and photovoltaic panels, applied in image analysis, image data processing, instruments, etc., can solve problems such as busbar corrosion, backplane degradation, and inability to provide more accurate basis for photovoltaic panel replacement, and achieve robustness Good, improve utilization rate and power generation, save manpower and material resources

Inactive Publication Date: 2021-01-29
郭燕
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The delamination phenomenon may lead to the deterioration of the backsheet, and the water vapor entering the solar panel will chemically react with the packaging material EVA to generate acetic acid gas, which will cause corrosion around the busbar (thick wire electrode on the battery unit)
At present, the methods for detecting the corrosion of photovoltaic panels mostly use the detection of the amount of acetic acid gas, which cannot provide a more accurate basis for the replacement of photovoltaic panels

Method used

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  • Photovoltaic cell bus corrosion condition analysis method based on image perception
  • Photovoltaic cell bus corrosion condition analysis method based on image perception
  • Photovoltaic cell bus corrosion condition analysis method based on image perception

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Experimental program
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Embodiment 1

[0039] Analysis method of photovoltaic cell bus bar corrosion based on image perception:

[0040] Step 1: Detect the collected images of photovoltaic cell components to obtain images of photovoltaic cell single boards. Specifically, the photovoltaic cell module image collected is detected by using the photovoltaic single board detection neural network to obtain the photovoltaic cell single board image.

[0041] The UAV collects RGB images and sends them to the photovoltaic single board detection neural network. The detection target is the photovoltaic panel single board, and the output result is the bounding box of the photovoltaic single board.

[0042] Photovoltaic single-board detection neural network, the input of the network is the RGB image collected by the drone, the feature is extracted by the photovoltaic single-board detection encoder Encoder1, and the first feature map Featuremap1 is output, and the first feature map Featuremap1 is flattened (flattened) Then it is ...

Embodiment 2

[0064] This embodiment provides an image perception-based method for analyzing the busbar corrosion of photovoltaic cells. The difference from Embodiment 1 is that the proportion of the busbar in the delamination area is considered. If the delamination area contains a larger busbar area, it will inevitably cause more serious corrosion to the busbar. Therefore, the delaminated semantic-aware map is also used to distinguish the semantics of busbar regions from other types of regions. According to the delamination area, the measurement and analysis of the bus bar corrosion of photovoltaic panels are as follows:

[0065] g(t)=g(0)+∫f(h(t),T(t),s(t),a(t))*vdt

[0066] Among them, g(0) is the busbar corrosion measurement at the initial moment, h(t) represents the humidity sensor data at the tth time, T(t) represents the temperature sensor data at the tth time, if T(t)1 or T(t)>T 2 , then f(h(t), T(t), s(t), a(t))=0, [T 1 , T 2 ] represents the ambient temperature that satisfies ...

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Abstract

The invention discloses a photovoltaic cell bus corrosion condition analysis method based on image perception. The method comprises the following steps: detecting an acquired photovoltaic cell moduleimage to obtain a photovoltaic cell single board image; segmenting a frame region in the photovoltaic cell single board image to obtain a frame semantic perception graph; obtaining a photovoltaic cellpanel frame image according to the photovoltaic cell panel image and the frame semantic perception graph; and carrying out classification analysis on the photovoltaic cell panel frame images, judgingwhether the photovoltaic cell panel has a delamination phenomenon, and if the delamination phenomenon exists, carrying out metric analysis on the bus corrosion condition of the photovoltaic cell panel according to the delamination area. According to the invention, the utilization rate and power generation power of the cell panel are improved, manpower and material resources are saved, and operation and maintenance efficiency is improved.

Description

technical field [0001] The invention relates to the technical fields of new energy photovoltaic power generation, computer vision, and artificial intelligence, and in particular to an image perception-based analysis method for busbar corrosion of photovoltaic cells. Background technique [0002] Solar panels exposed to high temperature and high humidity for a long time will fail. There are mainly two types of failures in appearance, one is the partial bulging of the resin back plate, and the other is the peeling off of the protective glass near the periphery of the battery unit. delamination phenomenon. The delamination phenomenon may lead to the deterioration of the backsheet, and the water vapor entering the solar panel will chemically react with the packaging material EVA to generate acetic acid gas, which will cause corrosion around the busbar (thick wire electrode on the battery unit). At present, the methods for detecting the corrosion of photovoltaic panels mostly us...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/32G06K9/34G06K9/62
CPCG06T7/0002G06V10/25G06V10/267G06F18/214
Inventor 郭燕余波
Owner 郭燕