首页> 外国专利> FAULT READING SYSTEM FOR SOLAR POWER PLANT BASED ON THERMAL IMAGE SUBTRACTION ANALYSIS

FAULT READING SYSTEM FOR SOLAR POWER PLANT BASED ON THERMAL IMAGE SUBTRACTION ANALYSIS

机译:基于热图像减法分析的太阳能发电厂故障读取系统

摘要

The thermal image subtraction analysis-based solar power plant failure reading system according to the present invention is a thermal image that acquires a thermal image of a solar panel through an imaging unit mounted while flying over an area where a plurality of solar panels are installed A ground control system that communicates with the unmanned aerial vehicle for acquisition and the unmanned aerial vehicle for thermal image acquisition, and transmits a control signal to the unmanned aerial vehicle for thermal image acquisition, and the thermal image acquired by the unmanned aerial vehicle for thermal image acquisition A fault reading device that receives and analyzes the thermal image by image subtraction to read an abnormality in the solar panel, and a data server that communicates with the fault reading device and stores a reference thermal image of the solar panel. characterized in that According to the present invention, by providing an unmanned aerial vehicle for acquiring a thermal image that acquires a thermal image of a solar panel through an imaging unit mounted while flying over an area where a plurality of solar panels are installed, a plurality of solar panels installed in a wide area It has the advantage of being able to quickly and easily acquire a thermal image of a solar panel.
机译:根据本发明的基于热图像减法分析的太阳能电厂故障读取系统是通过安装在安装多个太阳能电池板安装的区域的同时通过安装的成像单元获取太阳能电池板的热图像的热图像地面控制系统与无人驾驶飞行器用于采集和无人机获取的无人空中车辆通信,并将控制信号传送到无人驾驶飞行器的热图像采集,以及由无人机乘法器获取的热图像进行热图像采集故障读取设备,通过图像减法接收和分析热图像以读取太阳能电池板中的异常,以及与故障读取设备通信的数据服务器,并存储太阳能电池板的参考热图像。根据本发明的特征在于,通过提供无人驾驶的空中车辆,用于获取通过安装在安装多个太阳能电池板的区域的成像单元通过安装在安装多个太阳能电池板的区域的成像单元而获取了太阳能电池板的热图像的热图像,多个太阳能电池板安装在广域广域中,它具有能够快速且容易地获取太阳能电池板的热图像的优点。

著录项

  • 公开/公告号KR20210135842A

    专利类型

  • 公开/公告日2021-11-16

    原文格式PDF

  • 申请/专利权人 주식회사 대경산전;

    申请/专利号KR20200053988

  • 发明设计人 김대호;

    申请日2020-05-06

  • 分类号H02S50;B64C39/02;B64D47/08;G06N3/08;

  • 国家 KR

  • 入库时间 2022-08-24 22:30:09

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