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Development of Solar-Panel Monitoring Method Using Unmanned Aerial Vehicle and Thermal Infrared Sensor

机译:使用无人驾驶飞行器和热红外传感器的太阳能面板监测方法的开发

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Interest in solar energy,which is clean energy,is growing due to continuously high oil prices because of the unstable situation in the Middle East and the explosion of the Fukushima nuclear-power plant in Japan.South Korea has made various efforts to develop renewable energy,and facilities using solar energy are rapidly growing.Periodic inspection of solar panels is very important for the effective management of photovoltaic(PV)modules.In this study,a method to monitor and diagnose hulty solar modules through an Unmanned Aerial Vehicle(UAV)-based thermal infrared camera and GIS spatial analysis is discussed.First,the image of the PV module was taken by installing an RGB camera and thermal infrared camera on the rotor blade of the UAV.The images were generated by using Pix4D SW,and the normal operation of the PV module was diagnosed using the orthoimage.In particular,thermal infrared cameras are very sensitive to reaction speed,unlike optical sensors,so it is very important to find appropriate monitoring methods,such as shooting speed.Therefore,we suggest a way to utilize an optical sensor and thermal infrared sensor together through various attempts.In the images,GIS spatial analysis was used to extract abnormal heat or hulty modules.Using the Virtual Reference Service(VRS)survey method,UAV images could be 3D-mapped with a very precise temperature,within 2 cm in x,y,and z direction errors.The rapid development of PV power-generation facilities and of monitoring technologies is a very important factor for improving energy efficiency.The result of this study is providing a stable solar-panel-monitoring technology by comparing features of ground observation and UAV-based thermal infrared sensor observation.The developed monitoring technology was able to accurately analyze the hilure point and temperature of the PV module.
机译:由于中东的不稳定情况和日本福岛核电站的爆炸造成不稳定的油价,对太阳能的兴趣越来越多。日本福岛核电站的爆炸。韩国制定了各种努力开发可再生能源的努力和使用太阳能的设施迅速增长。太阳能电池板的实验性对光伏(PV)模块的有效管理非常重要。本研究,通过无人驾驶飞行器(UAV)监测和诊断Hulty太阳能模块的方法被讨论的热红外相机和GIS空间分析。首先,通过在UAV的转子叶片上安装RGB相机和热红外摄像机来采取PV模块的图像。通过使用PIX4D SW生成图像的图像使用OrthoImage诊断PV模块的正常操作。特别是,与光学传感器不同,热红外摄像机对反应速度非常敏感,因此找到适应性非常重要Operiate监控方法,如拍摄速度。因此,我们建议通过各种尝试使用光学传感器和热红外传感器的方法。在图像中,GIS空间分析用于提取异常的热或Hulty模块。为虚拟参考服务(VRS)测量方法,UAV图像可以以非常精确的温度为3D映射,在X,Y和Z方向误差2厘米内。光伏发电设施和监控技术的快速发展是非常重要的提高能源效率的因素。本研究的结果是通过比较地面观察和基于UAV的热红外传感器观察的特征来提供稳定的太阳能电池板监测技术。发达的监控技术能够准确地分析HILURE点和温度PV模块。

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