基于双目视觉的输电线路防外破系统设计
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1.南京信息工程大学自动化学院 南京;2.无锡学院自动化学院 无锡

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TM726;TP391.4

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2020r006无锡学院人才启动项目(550220006)资助、南方电网广东茂名供电局科技项目“基于多电压等级与多组态电网防外破与远距离精准验电装置研制” (030900KK52220007)资助


Design of transmission line Anti-external breakage system based on binocular vision
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    摘要:

    为防止吊车臂触碰输电线引发事故,设计一种基于双目视觉的输电线路防外破系统。首先,通过将双目视觉防外破装置安装在吊车吊臂上实时获取图像数据;接着,针对实际环境中存在的光照干扰、弱纹理区域以及视差图中的边缘空洞填充,提出一种改进SGBM立体匹配算法,利用最小二乘拟合插值法和双边滤波进行算法优化,从而准确获取输电线路的三维信息;最后,根据双目视觉原理与空间耦合电容分压原理搭建测距环境与10kV输电线路测试环境并进行现场测试。结果表明,改进SGBM算法在干扰环境下的测距平均相对误差仅为1.345%和1.229%,对比传统SGBM算法与场强测距方法,分别减少2.047%和1.851%,算法运行时间为817.552ms,测距系统兼顾实时性与精准性需求,满足实际环境下的输电线路吊车防外破使用。

    Abstract:

    To prevent accidents caused by crane arms touching transmission lines, a transmission line anti-external breakage system based on binocular vision is designed. First, by installing the binocular vision anti-external breakage device on the crane arm to obtain image data in real time; then, an improved SGBM stereo matching algorithm is proposed for the light interference, weak texture area existing in the actual environment and edge hole filling in the parallax map, and the algorithm is optimized by using least squares fitting interpolation and bilateral filtering, so as to accurately acquire the three-dimensional information of the transmission line; finally, 10kV transmission line test environment and ranging environment are built according to the principle of binocular visual and space coupling capacitance voltage division and tested in the field. The results show that the average relative error of the improved SGBM algorithm is only 1.345% and 1.229% under the interference environment, which is 2.047% and 1.851% less than the traditional SGBM algorithm and the field strength ranging method, respectively. The ranging system takes into account the needs of real-time and precision, and meets the use of the transmission line crane against external breakage in the actual environment.

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  • 收稿日期:2022-12-07
  • 最后修改日期:2023-03-14
  • 录用日期:2023-03-18
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