The invention discloses a photovoltaic panel cleanliness detection method and system based on unmanned aerial vehicle image recognition, and relates to the technical field of image recognition. Comprising an unmanned aerial vehicle and an upper computer, the upper computer comprises a man-machine interaction unit, an unmanned aerial vehicle flight line planning unit, an image storage unit, an image conversion unit, an image feature extraction unit, an image stain identification processing unit, a man-machine interaction interface and a user feedback unit; the image stain identification processing unit calculates the stain adhesion rate of the assigned stain image information data, if the stain adhesion rate is greater than a set standard stain adhesion probability, it is determined that the photovoltaic panel has stains and needs to be cleaned, and otherwise, it is determined that the photovoltaic panel does not need to be cleaned temporarily; and the user feedback unit feeds back the detected pollution degree and position coordinates of the photovoltaic panel to related workers. The purpose of detecting the cleanliness of the photovoltaic panel is achieved, the cleaning efficiency is improved, and the labor cost is saved.

    本发明公开了一种基于无人机图像识别光伏面板清洁度的检测方法及系统,涉及图像识别技术领域。包括无人机和上位机,无人机用于采集采光伏面板图像;上位机包括无人机交互单元、无人机飞行线路规划单元、图像存储单元、图像转换单元、图像特征提取单元、图像污渍识别处理单元、人机交互界面及用户反馈单元;图像污渍识别处理单元将赋值后的有无污渍图像信息数据进行污渍附着率的计算,若污渍附着率大于设定的标准污渍附着概率则判定该光伏面板为有污渍需要清理,反之,则判定该光伏面板暂时不需要清理;用户反馈单元将检测后的光伏面板的污染程度及位置坐标反馈给相关的工作人员。达到了对光伏面板清洁度检测的目的,提高清理的效率,节约了人工成本。


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    Titel :

    Detection method and system for identifying cleanliness of photovoltaic panel based on unmanned aerial vehicle image


    Weitere Titelangaben:

    一种基于无人机图像识别光伏面板清洁度的检测方法及系统


    Beteiligte:
    DONG WEIJIE (Autor:in) / FAN XINQIAO (Autor:in) / HU HONGHUA (Autor:in) / WAN GENGSHU (Autor:in) / WANG ZEYU (Autor:in) / GUO YIMING (Autor:in) / ZHANG JUN (Autor:in) / FUSASHIRO (Autor:in) / TUO ZERUI (Autor:in) / LIU QUAN (Autor:in)

    Erscheinungsdatum :

    2023-09-22


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06V / B64C AEROPLANES , Flugzeuge



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