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Power Transmission Lines Inspection using Properly Equipped Unmanned Aerial Vehicle (UAV)

机译:使用适当配备的无人机(UAV)检查输电线路

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The inspection of power transmission lines is an important task that enhances the reliability of Electricity Distribution Network Operators. This task can be performed in a low-cost way using unmanned aircrafts. At the present study, we examine the effectiveness of using basic image processing methods on image data of the power lines acquired by an unmanned aerial vehicle (UAV). The specific UAV was assembled for the present work under the considerations that arise from the purpose of the inspection of power transmission lines. Two methodologies are proposed differing on the preprocessing required in order to detect the location of the lines on the video images. Both proposed methodologies were tested in real-world cases, with the image background in each case to be characterized of non-uniform texture, i.e., the natural terrain is rugged at some locations, wooded land at some other or it is road that appears at the same hue as the aerial power lines. We examined the case of a broken line where the methodologies result in successful detection of the power lines before and after the discontinuity of the power line. The proposed work offers a robust and low-cost way for the inspection of power transmission lines and so an effective way to detect the location where a cable fault has occurred.
机译:输电线路的检查是提高配电网络运营商可靠性的一项重要任务。可以使用无人飞机以低成本方式执行此任务。在当前的研究中,我们研究了对无人飞行器(UAV)采集的电力线图像数据使用基本图像处理方法的有效性。出于对输电线路进行检查的目的而考虑的特定目的,组装了特定的无人机用于当前工作。提出了两种方法,这些方法在所需的预处理上有所不同,以便检测视频图像上线条的位置。两种提议的方法都在实际情况下进行了测试,每种情况下的图像背景都具有不均匀的纹理特征,即自然地形在某些位置崎ged不平,在其他地方则是林地,或者在与航空电源线的色调相同。我们检查了断线的情况,其中方法论导致在电源线不连续之前和之后成功检测到电源线。拟议的工作为电力传输线的检查提供了一种可靠且低成本的方法,从而为检测发生电缆故障的位置提供了一种有效的方法。

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