基于无人机采集图像的输电线路异常检测方法研究
TM755; 针对现有无人机航拍输电线路图像异常检测方法效率低、精度差等问题,在无人机航拍输电线路图像预处理的基础上,提出改进的相位编组算法用于导线提取和滑动像素块模型用于输电线路的异常检测.根据输电线路的最佳相位划分方式和伪导线判断基准优化相位编组算法,通过改变滑动像素块的旋转梯度角,确定传输线异常的准确位置,并完成导线断股和悬挂异物检测.通过实验对所提方法的可行性进行验证.结果表明,与常规方法相比,所提导线提取方法具有更高的精度、防误检和运行效率,在导线断股和悬挂异物检测中具有更高的准确度和运行效率,所提出的研究可以大幅提高巡检的安全性和效率....
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| Published in | 电测与仪表 Vol. 60; no. 7; pp. 122 - 127 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
国网青海省电力公司经济技术研究院,西宁810000
15.07.2023
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1001-1390 |
| DOI | 10.19753/j.issn1001-1390.2023.07.019 |
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| Abstract | TM755; 针对现有无人机航拍输电线路图像异常检测方法效率低、精度差等问题,在无人机航拍输电线路图像预处理的基础上,提出改进的相位编组算法用于导线提取和滑动像素块模型用于输电线路的异常检测.根据输电线路的最佳相位划分方式和伪导线判断基准优化相位编组算法,通过改变滑动像素块的旋转梯度角,确定传输线异常的准确位置,并完成导线断股和悬挂异物检测.通过实验对所提方法的可行性进行验证.结果表明,与常规方法相比,所提导线提取方法具有更高的精度、防误检和运行效率,在导线断股和悬挂异物检测中具有更高的准确度和运行效率,所提出的研究可以大幅提高巡检的安全性和效率. |
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| AbstractList | TM755; 针对现有无人机航拍输电线路图像异常检测方法效率低、精度差等问题,在无人机航拍输电线路图像预处理的基础上,提出改进的相位编组算法用于导线提取和滑动像素块模型用于输电线路的异常检测.根据输电线路的最佳相位划分方式和伪导线判断基准优化相位编组算法,通过改变滑动像素块的旋转梯度角,确定传输线异常的准确位置,并完成导线断股和悬挂异物检测.通过实验对所提方法的可行性进行验证.结果表明,与常规方法相比,所提导线提取方法具有更高的精度、防误检和运行效率,在导线断股和悬挂异物检测中具有更高的准确度和运行效率,所提出的研究可以大幅提高巡检的安全性和效率. |
| Author | 安之焕 陈杰 唐占元 卢志超 |
| AuthorAffiliation | 国网青海省电力公司经济技术研究院,西宁810000 |
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| Author_FL | Chen Jie Tang Zhanyuan An Zhihuan Lu Zhichao |
| Author_FL_xml | – sequence: 1 fullname: Chen Jie – sequence: 2 fullname: Tang Zhanyuan – sequence: 3 fullname: An Zhihuan – sequence: 4 fullname: Lu Zhichao |
| Author_xml | – sequence: 1 fullname: 陈杰 – sequence: 2 fullname: 唐占元 – sequence: 3 fullname: 安之焕 – sequence: 4 fullname: 卢志超 |
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| DocumentTitle_FL | Study on anomaly detection method of transmission line based on image acquired by UAV |
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| Keywords | phase grouping algorithm abnormal detection 巡检 sliding pixel block model 无人机 相位编组算法 输电线路 滑动像素块模型 UAV 异常检测 transmission line inspection |
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| Title | 基于无人机采集图像的输电线路异常检测方法研究 |
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