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Photovoltaic cell panel deformation prediction method based on image processing and multi-dimensional perception

A photovoltaic cell panel and image processing technology, applied in prediction, data processing applications, character and pattern recognition, etc., can solve problems such as deformation of photovoltaic cell components, hidden cracks of cells, and affecting power generation efficiency of photovoltaic cell components, and achieve robustness Good performance, strong generalization ability, and fast deformation detection speed

Inactive Publication Date: 2021-01-01
黄振海
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Under the action of external force, the photovoltaic cell module may have problems such as deformation of the photovoltaic cell module, and the deformation may cause a series of problems such as hidden cracks and slivers of the cell inside the module that will affect the power generation efficiency of the photovoltaic cell module
However, the deformation of photovoltaic panels after compression is small, and it is impossible to accurately and reliably judge whether the photovoltaic panels are deformed by naked eyes alone.

Method used

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  • Photovoltaic cell panel deformation prediction method based on image processing and multi-dimensional perception
  • Photovoltaic cell panel deformation prediction method based on image processing and multi-dimensional perception
  • Photovoltaic cell panel deformation prediction method based on image processing and multi-dimensional perception

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Embodiment

[0028] The front-view image of the photovoltaic panel is collected by the drone. Specifically, the adjustment rules for the pose of the drone must be set in advance. Since the position of the photovoltaic panel bracket is fixed, the initial position of the drone is obtained according to the position of the photovoltaic panel bracket. , deploy a gyroscope on the photovoltaic panel to collect information on the pose of the photovoltaic panel, and obtain the pitch angle and yaw angle of the photovoltaic panel; the drone first moves to the top of the photovoltaic support, and then according to the Adjust the position of the information until the optical axis of the camera is perpendicular to the photovoltaic panel, and the extension line of the optical axis intersects with the photovoltaic panel at the center point of the photovoltaic panel. The length of the vertical line is not limited, but it should be within a reasonable range, and the camera angle of view should be adjusted Th...

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Abstract

The invention provides a photovoltaic cell panel deformation prediction method based on image processing and multi-dimensional perception, and the method comprises the steps: carrying out the extraction of key points of a photovoltaic cell panel image collected by an unmanned plane, obtaining a plurality of grid regions according to the key points, counting the number of pixel points in each gridregion, obtaining a reconstructed image based on the number of the plurality of pixel points, analyzing the reconstructed image, judging whether the cell panel is abnormal or not, and judging a corresponding deformation level if the cell panel is abnormal; acquiring a plate type and a deformation grade of the abnormal battery plate and historical wind direction and wind speed data corresponding tothe abnormal battery plate, and performing calculating to obtain wind power data according to the wind direction and wind speed data; training a time convolution network by taking the wind power dataon the plate type and the time sequence as a training data set and the deformation grade as a training label, and inputting the wind power data on the plate type and the time sequence into the time convolution network after the training is completed, thereby obtaining a predicted deformation grade. The method is high in deformation detection speed, time-saving and labor-saving.

Description

technical field [0001] The invention relates to the technical fields of artificial intelligence, computer vision and fault detection of photovoltaic cell components, in particular to a method for predicting deformation of photovoltaic cell panels based on image processing and multi-dimensional perception. Background technique [0002] Under the action of external force, the photovoltaic cell module may have problems such as deformation of the photovoltaic cell module, and the deformation may cause a series of problems such as cell cracks and slivers inside the module that will affect the power generation efficiency of the photovoltaic cell module. However, the deformation of the photovoltaic cell panel after being pressed is small, and it is impossible to accurately and reliably judge whether the photovoltaic cell panel is deformed by naked eyes alone. Contents of the invention [0003] In order to solve the above problems, the present invention proposes a photovoltaic pan...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/62G06Q10/04G06Q50/06G06N3/04
CPCG06Q10/04G06Q50/06G06V20/13G06V10/25G06N3/045G06F18/214
Inventor 黄振海徐双双
Owner 黄振海
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