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Volume 44 Issue 5
May  2022
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WANG Hao, YAN Hao, YE Hairui, BAI Song, LI Yida. Intelligent Patrol Inspection of Photovoltaic Power Station Based on UAVs[J]. Infrared Technology , 2022, 44(5): 537-542.
Citation: WANG Hao, YAN Hao, YE Hairui, BAI Song, LI Yida. Intelligent Patrol Inspection of Photovoltaic Power Station Based on UAVs[J]. Infrared Technology , 2022, 44(5): 537-542.
shu

Intelligent Patrol Inspection of Photovoltaic Power Station Based on UAVs

  • 1.

    Jiangsu Electric Power Co., Ltd., State Power Investment Corporation, Nanjing 21000, China

  • 2.

    College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 21000, China

  • 3.

    Jiangsu New Energy Co., Ltd., State Power Investment Corporation, Nanjing 21000, China

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  • Received Date: July 18, 2021
  • Revised Date: October 11, 2021
    Graphical Abstract
    • Abstract
  • Solar photovoltaic power generation is an important component of a country's energy structural adjustment. With the rapid expansion of the scale of the photovoltaic power generation industry in recent years, the need for an automated daily maintenance of photovoltaic power stations has increased. Traditional manual detection methods are inefficient because photovoltaic power stations are spread over a large area. In this study, we investigate the intelligent inspection technology of a photovoltaic power station based on an unmanned aerial vehicle (UAV). A technical route for an intelligent inspection of a UAV-based photovoltaic power station is proposed. We achieve the automation of photovoltaic panel image data acquisition and analysis and investigate defect detection based on computer vision. We realize photovoltaic panel defect detection based on infrared images using an adaptive dynamic threshold method combined with image enhancement technology, facilitating the classification of defects to be determined by using visible light images. The defect locations are further calculated by combining the POS data and the camera model. Finally, we verify the effectiveness of the proposed technical route in an actual scenario.
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    • References (13)
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