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An Automatic Acquisition Algorithm for Power Distribution Line Based on Vehicle-mounted System

机译:基于车载系统的配电线路自动采集算法

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In order to realize automatic inspection of power distribution line and improve the safety of distribution network, a novel vehicle inspection system was designed, which contains visible-light camera, infrared imager and partial discharge detector. To ensure the effective information acquisition of equipments we expected to inspect, visual servo is used here to implement data automatic collection. An improved Edge Drawing Lines(EDLines) algorithm which gives fast and accurate results was proved to detect power lines in images. Based on the position of wire line in image, a reasonable pitch angle of pan-tilt can be adjusted automatically to realize the tracking process. On condition that GPS information of vehicle and power poles is given, a method of image capturing for pole and tower using image-based servo system is proposed, which provides the clear and the integrated images. Faster-RCNN algorithm is adopted here for detection and location of electric power tower in images. The experimental results demonstrate that the approach is effective for automatic inspection data collection of power distribution line and has a good application value.
机译:为了实现配电线路的自动检查并提高配电网的安全性,设计了一种新型的车辆检查系统,该系统包括可见光摄像头,红外成像仪和局部放电检测器。为了确保我们希望检查的设备的有效信息获取,此处使用视觉伺服来实现数据自动收集。提出了一种改进的边缘绘图线(EDLines)算法,该算法能够快速准确地检测图像中的电源线。根据图像中电线的位置,可以自动调整合理的云台俯仰角,以实现跟踪过程。在给出车辆和电线杆的GPS信息的前提下,提出了一种基于图像的伺服系统对电线杆和铁塔的图像捕获方法,该方法可以提供清晰,完整的图像。这里采用Faster-RCNN算法对图像中的电力塔进行检测和定位。实验结果表明,该方法对配电线路的自动巡检数据收集是有效的,具有很好的应用价值。

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