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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:为了实现分配线的自动检测,提高配电网络安全,设计了一种新型车辆检测系统,含有可见光相机,红外成像仪和局部放电检测器。为确保有效的信息获取我们预期检查的设备,这里使用可视伺服来实现数据自动集合。证明了一种提供快速和准确结果的改进的边缘绘制线(EDLines)算法以检测图像中的电力线。基于图像中的线线的位置,可以自动调节泛倾斜的合理俯仰角,以实现跟踪过程。在给出车辆和电源极的GPS信息的条件下,提出了一种使用基于图像的伺服系统捕获的杆和塔的图像捕获方法,其提供了清晰和集成图像。这里采用更快的RCNN算法进行图像中的电力塔的检测和位置。实验结果表明,该方法对于自动检测配电线路采集有效,具有良好的应用价值。

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