基于语义信息分块的高像素导线缺陷目标识别研究
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广东电网有限责任公司机巡作业中心

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广东电网有限责任公司科技项目(GDKJXM20184731)


Research on Patch-based Defect Target Identification of High Pixel Wire Image
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Patrol Operation Center of Guangdong Power Grid Co., Ltd,

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    摘要:

    输电导线作为架空输电线路重要的部件,在巡检过程中发现导线缺陷能够避免重大电力事故的发生具有重要意义。在无人机巡检过程中相机获取导线缺陷特征的图像具有高像素特性。若在计算机中进行识别缺陷需要处理的数据量大。本文实现无人机搭载板载计算机实时处理高清摄像头采集的高分辨率导线图像导线缺陷识别。采用基于语义信息分块的方法先将导线图像降采样处理后利用注意力网络获取低像素导线分割区域并网格化,裁剪出多个导线区域,将导线区域以降采样比例映射回高像素原图像裁剪出多个导线高分辨率导线区域,批次输入yolov3网络进行导线缺陷识别,并根据输入的高精度关注区域在原图像的相对位置获得缺陷识别目标包围盒的原图坐标,识别完成目标包围盒在原图中标注。实验结果表明,本文提出的识别方法可以实现在无人机巡线过程中,对相机采集的高分辨率导线图像进行高帧率的缺陷实时识别,为无人机智能化巡检提供新的思路。

    Abstract:

    As an important part of overhead transmission lines, it is of great significance to find out the wire defects in the process of inspection to avoid the occurrence of serious power accidents.In the process of UAV(unmanned?aerial?vehicle) patrol, the camera collects images of wire defect that have characteristic of high pixel. In order to identify the defects, it needs to process a large amount of data in the computer because its high pixel characteristic. In this paper, the onboard computer of UAV carries out real-time processing of high-resolution wire image collected by HD camera to identify wire defects.A Patch-based method is adopted to firstly conduct down-sampling processing of the wire image and then use u-net as the attention net to obtain the segmentation area of the low-pixel wire and grid it, and then cut out a number of line attention patches. Then, map the line attention Patch to the original high-pixel image and cut out a number of high-resolution line attention patches.The batch input takes mobilev2 as the backbone yolov3 network for wire defect identification, and obtains the original image coordinates of the bounding box of the defect identification target in the relative position of the original image according to the input high-precision focus area, and marks the bounding box of the identified target in the original image.The experimental results show that the method proposed in this paper can realize the defect recognition of high frame rate on the high-resolution wire image collected by camera in the process of UAV line patrol, which provides a new idea for the intelligent patrol of UAV.

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  • 收稿日期:2020-12-17
  • 最后修改日期:2021-06-03
  • 录用日期:2021-06-17
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