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A Defect Detection Method for Photovoltaic Panel Based on UAV Vision

A photovoltaic panel and defect detection technology, applied in neural learning methods, computer components, details involving image stitching, etc., can solve problems such as difficult detection of mountainous photovoltaic power stations, improve daily maintenance, ensure production reliability, and reduce labor The effect of staff strength

Active Publication Date: 2022-02-11
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide a photovoltaic panel defect detection method based on unmanned aerial vehicle vision, which can identify its fragmentation, shadow, foreign object occlusion and Defects such as EVA shedding are not affected by the ground environment of the photovoltaic power station. It can effectively solve the problems of complementary fishing and photovoltaic power stations and difficult detection of mountainous photovoltaic power stations. It can intuitively display the location of defects on the 3D model, which greatly improves the maintenance efficiency of photovoltaic panels.

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  • A Defect Detection Method for Photovoltaic Panel Based on UAV Vision
  • A Defect Detection Method for Photovoltaic Panel Based on UAV Vision

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Embodiment Construction

[0044] Embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0045] see Figure 1-3 , a kind of photovoltaic panel defect detection method based on unmanned aerial vehicle 5 vision of the present invention, comprises the following steps:

[0046] S1. UAV route planning in the detection area;

[0047] In the embodiment, according to the coverage area of ​​the photovoltaic power station, the method of manual map frame selection is used for route planning, and a file in a format that can be automatically executed by the drone is generated according to the lens parameters, flight height, shooting overlap rate, etc.

[0048] The UAV flight platform adopts DJI Matrice M300RTK, equipped with DJI Zenmuse H20T gimbal camera, with infrared lens and zoom lens at the same time, the zoom camera uses 2 times the focal length, and the flying height is 30 meters. The generated route file extension is .kml .

[0049] ...

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Abstract

The invention discloses a photovoltaic panel defect detection method based on drone vision, including S1, drone route planning in the detection area; S2, drone data collection of photovoltaic panels, and obtaining infrared and visible light images; Visible light image registration; S4, infrared image hot spot detection and classification; S5, defect location. The invention is not affected by the ground environment of the photovoltaic power station, can effectively solve the problems of complementary fishing and photovoltaic power stations, and difficult detection of mountainous photovoltaic power stations, and can intuitively display defect positions on a three-dimensional model, greatly improving the maintenance efficiency of photovoltaic panels.

Description

technical field [0001] The invention belongs to the technical field of machine vision and defect detection, and in particular relates to a photovoltaic panel defect detection method based on drone vision. Background technique [0002] Photovoltaic power generation is a technology that directly converts light energy into electrical energy by using the photovoltaic effect at the semiconductor interface. It is mainly composed of three parts: solar panels (components), controllers and inverters, and the main components are composed of electronic components. The solar cells are packaged and protected after being connected in series to form a large-area solar cell module, and then cooperate with power controllers and other components to form a photovoltaic power generation device. [0003] As a clean energy source with a wide range of sources, solar energy has received sufficient attention in China in recent years. The photovoltaic power generation industry has reached a certain ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/33G06T5/00G06T3/40G06V10/25G06V10/774G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06T7/0002G06T7/337G06T5/002G06T3/4038G06N3/08G06T2207/10048G06T2207/20081G06T2207/20084G06T2207/30168G06T2200/32G06V10/25G06N3/045G06F18/214
Inventor 汪俊闫号李艺达
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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