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Precise Inspection Method of Solar Photovoltaic Panel Using Optical and Thermal Infrared Sensor Image Taken by Drones

机译:无人机拍摄光学和热红外传感器图像的太阳能光伏面板精确检查方法

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The inspection of the solar panel using the drone has already been put into practical use.However,this method requires an initial investment cost as compared with the conventional method,and it may take a cost such as image processing.In addition,there are challenges such as the ability to carry out the necessary maintenance of the law even if technically possible.Nowadays,the introduction of drones is proceeding in such a way as to check the points of abnormalities through simple flight.The advantage of this method is that safety enhancement and inspection speed are greatly improved compared to the case of performing the inspection by the conventional method.For companies,the use of drones and thermal infrared sensors for inspection can be used to reduce the population and to reduce the problems of recruitment,and to improve the efficiency and reduce the cost by simplifying the inspection procedure with fewer personnel will be.The purpose of this study is to develop a method to accurately detect abnormal points by making thermal infrared images of orthographic images by improving the inspection method through simple flight of drone.The study investigated whether it is possible to precisely check the point where the problem is located under the condition of insufficient solar radiation at the site installed by a small developer.We propose a method that can accurately distinguish between normal and abnormal panel points in images taken using drones and thermal infrared sensors,and how to accurately detect abnormal points by focusing on problem panels.Abnormal points were found to be very accurate and efficient to find and inspect panel more than the temperature range value of each panel.
机译:使用无人机的太阳能电池板的检查已经投入实际使用。然而,与传统方法相比,这种方法需要初始投资成本,并且可能需要成本,例如图像处理。此外,还有挑战如能够执行法律的必要维护,即使技术上也是可能的。目前,通过简单飞行来检查无人机的引入。这种方法的优势是安全增强与通过传统方法进行检查的情况相比,检查速度大大提高。对于公司来说,可以使用用于检查的无人驾驶和热红外传感器来减少人口并减少招聘问题,并改善通过简化较少人员的检查程序的效率和降低成本。本研究的目的是开发一种方法通过简单的无人机通过改善检查方法来制造正射图像的热红外图像来检测异常点。研究调查了是否有可能精确检查问题位于现场太阳辐射不足的条件下的位置由小型开发人员安装。我们提出了一种方法,可以确定使用无人机和热红外传感器拍摄的图像中的正常和异常面板点,以及如何通过专注于问题面板来准确地检测异常点。发现是非常的准确且有效地查找和检查面板超过每个面板的温度范围值。

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