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.

Intelligent Patrol Inspection of Photovoltaic Power Station Based on UAVs

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  • Received Date: July 18, 2021
  • Revised Date: October 11, 2021
  • 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.
  • [1]
    彭向阳, 钱金菊, 吴功平, 等. 架空输电线路机器人全自主巡检系统及示范应用[J]. 高电压技术, 2017, 43(8): 2582-2591. https://www.cnki.com.cn/Article/CJFDTOTAL-GDYJ201708019.htm

    PENG Xiangyang, QIAN Jinju, WU Gongping, et al. Full automatic inspection system and its demonstration application based on robot for overhead transmission lines[J]. High Voltage Engineering, 2017, 43(8): 2582-2591. https://www.cnki.com.cn/Article/CJFDTOTAL-GDYJ201708019.htm
    [2]
    黄山, 吴振升, 任志刚, 等. 电力智能巡检机器人研究综述[J]. 电测与仪表, 2020, 57(2): 26-38. https://www.cnki.com.cn/Article/CJFDTOTAL-DCYQ202002005.htm

    HUANG Shan, WU Zhensheng, REN Zhigang, et al. Review of electric power intelligent inspection robot[J]. Electrical Measurement & Instrumentation, 2020, 57(2): 26-38. https://www.cnki.com.cn/Article/CJFDTOTAL-DCYQ202002005.htm
    [3]
    王培珍, 郑诗程. 基于红外图像的太阳能光伏阵列故障分析[J]. 太阳能学报, 2010, 31(2): 197–202. https://www.cnki.com.cn/Article/CJFDTOTAL-TYLX201002013.htm

    WANG Peizhen, ZHENG Shicheng. Fault analysis of photovoltaic array based on infrared image[J]. Journal of Solar Energy, 2010, 31(2): 197-202. https://www.cnki.com.cn/Article/CJFDTOTAL-TYLX201002013.htm
    [4]
    闫萍, 王赶强. 电致发光成像测试晶体硅光伏组件缺陷的方法标准解读[J]. 标准化研究, 2020(9): 29-31. https://www.cnki.com.cn/Article/CJFDTOTAL-DZBZ202009014.htm

    YAN Ping, WANG Ganqiang. Interpretation of standard for test method for cell defects in crystalline silicon photovoltaic modules by electroluminescence (EL) imaging[J]. Standardization Research, 2020(9): 29-31. https://www.cnki.com.cn/Article/CJFDTOTAL-DZBZ202009014.htm
    [5]
    陆成龙, 刘忠德, 张皖军, 等. 无人机智能巡检在检测风电光伏故障中的应用研究[J]. 电子设计工程, 2021, 29(6): 130-134. https://www.cnki.com.cn/Article/CJFDTOTAL-GWDZ202106026.htm

    LU Chenglong, LIU Zhongde, ZHANG Wanjun, et al. Research on the application of UAV intelligent inspection in the detection of wind power photovoltaic fault[J]. Electronic Design Engineering, 2021, 29(6): 130-134. https://www.cnki.com.cn/Article/CJFDTOTAL-GWDZ202106026.htm
    [6]
    王栓虎, 温向炜. 无人机在光伏组件巡视检查中的应用分析[J]. 太阳能, 2021(1): 51-54. https://www.cnki.com.cn/Article/CJFDTOTAL-TYNZ202101009.htm

    WANG Shuanhu, WEN Xiangwei. Application analysis of unmanned aerial vehicle in pv modules inspection[J]. Solar Energy, 2021(1): 51-54. https://www.cnki.com.cn/Article/CJFDTOTAL-TYNZ202101009.htm
    [7]
    赵玲玲, 汪烨, 刘俊. 基于无人机与HSV空间的光伏电池板检测分析[J]. 红外技术, 2020, 42(10): 978-982. http://hwjs.nvir.cn/article/id/hwjs202010010

    ZHAO Lingling, WANG Ye, LIU Jun. Detection and analysis of photovoltaic panels based on UAV and HSV space[J]. Infrared Technology, 2020, 42(10): 978-982. http://hwjs.nvir.cn/article/id/hwjs202010010
    [8]
    李香凡, 唐志伟, 胡家龙, 等. 无人机光伏巡检的图像目标检测算法[J]. 电子世界, 2020(11): 7-8. https://www.cnki.com.cn/Article/CJFDTOTAL-ELEW202011002.htm

    LI Xiangfan, TANG Zhiwei, HU Jialong, et al. Image target detection algorithm of UAV photovoltaic inspection[J]. Electronics World, 2020(11): 7-8. https://www.cnki.com.cn/Article/CJFDTOTAL-ELEW202011002.htm
    [9]
    Roggi G, Niccolai A, Grimaccia F, et al. A computer vision line-tracking algorithm for automatic UAV photovoltaic plants monitoring applications[J]. Energies, 2020, 13(4): 1-15.
    [10]
    金映谷, 张涛, 杨亚宁, 等. 基于深度学习的产品缺陷检测方法综述[J]. 大连民族大学学报, 2020, 22(5): 420-427. https://www.cnki.com.cn/Article/CJFDTOTAL-DLMY202005007.htm

    JIN Yinggu, ZHANG Tao, YANG Yaning, et al. Review of product defect detection methods based on deep learning[J]. Journal of Dalian Minzu University, 2020, 22(5): 420-427. https://www.cnki.com.cn/Article/CJFDTOTAL-DLMY202005007.htm
    [11]
    Otsu N. A threshold selection method from gray-level histograms[J]. IEEE Transactions on Systems Man and Cybernetics, 2007, 9(1): 62-66
    [12]
    Natale F, Boato G. Detecting morphological filtering of binary images[J]. Transactions on Information Forensics and Security, 2017, 12(5): 1207-1217.
    [13]
    徐立波. 渔光互补光伏发电系统设计[J]. 科技风, 2020(33): 3-4. https://www.cnki.com.cn/Article/CJFDTOTAL-KJFT202033003.htm

    XU Libo. Design of fishing light complementary photovoltaic power generation system[J]. Technology Wind, 2020(33): 3-4. https://www.cnki.com.cn/Article/CJFDTOTAL-KJFT202033003.htm
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