基于形态滤波的接地网拓扑检测

doi:10.19595/j.cnki.1000-6753.tces.201029

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摘要探测变电站接地网网格结构一般采用向接地网注入电流,寻找地表磁感应强度峰值的方法。针对该方法难以识别弱峰值和易受异常数据干扰,提出了一种基于形态滤波的方法。通过构建复合滤波器对磁场数据进行边界提取,直接获得接地网拓扑结构。基于感应磁场的分布规律分析,建立了用于描述地表磁场的空间分析函数;进而使用形态学中腐蚀和膨胀方法对磁场数据滤波,以消除随机噪声和异常数据;最后依据网格连通性特征,基于形态学分水岭算法准确提取接地网拓扑。仿真和实验结果表明,形态滤波方法能有效识别磁场数据微弱处的接地网结构,而且能有效地应对工程现场的噪声和干扰,具有很好的鲁棒性。

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	王文东
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	付志红

关键词 ：形态滤波, 接地网, 拓扑, 磁场, 分水岭算法

Abstract：The method of injecting current into the grounding grid to find the peak of surface magnetic induction intensity is often used to detect the grid structure in the existing researches, but this method can hardly identify weak signal and has poor anti-interference performance. In this paper, a method based on morphological filtration is proposed, which can obtain the topological structure of grounding grids by constructing complex morphological filters to extract boundary of the magnetic field. Firstly, based on the analysis of the distribution characteristics of the induced magnetic field, spatial analysis functions are introduced to describe the magnetic field on the surface. And then, morphic erosion and dilation methods are used to filter the original data to eliminate random noise and abnormal data. Finally, according to the connectivity characteristics of grid connectivity, watershed algorithm is used to extract the topology of grounding grids. Simulation and experimental result shows that this method can effectively identify the grounding grids from weak magnetic field data, and it is robust to noise and interference.

Key words： Morphological filtration grounding grids topology magnetic field watershed algorithm

收稿日期: 2020-08-14

PACS:

TM86

基金资助:国家自然科学基金（51777017）和重庆市重点产业共性关键技术创新专项（重点研发项目）（CSTC2017ZDCY-ZDYFX0045）资助项目

通讯作者: 胡绪权男,1992年生,博士研究生,研究方向为电磁探测。E-mail：huxuquan@163.com

作者简介: 王文东男,1995年生,硕士研究生,研究方向为接地网腐蚀诊断。E-mail：cquwwd@cqu.edu.cn

引用本文:

王文东, 胡绪权, 徐正玉, 王浩文, 付志红. 基于形态滤波的接地网拓扑检测[J]. 电工技术学报, 2021, 36(17): 3685-3692. Wang Wendong, Hu Xuquan, Xu Zhengyu, Wang Haowen, Fu Zhihong. Topology Detecting Method of Grounding Grids Based on Morphological Filtration. Transactions of China Electrotechnical Society, 2021, 36(17): 3685-3692.

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https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.201029 https://dgjsxb.ces-transaction.com/CN/Y2021/V36/I17/3685

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