输电线路绝缘子覆冰厚度图像识别算法

ZHANG Ye

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输电线路绝缘子覆冰厚度图像识别算法

更新时间：2025-08-13

- 输电线路绝缘子覆冰厚度图像识别算法
- Automation of Electric Power Systems Vol. 40, Issue 21, Pages: 195-202(2016)
- 作者机构：
  
  西安电子科技大学机电工程学院,陕西省,西安市,710071
- 作者简介：
- 基金信息：
- DOI：
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- Published：2016
- 稿件说明：
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ZHANG Ye. [J]. Automation of electric power systems, 2016, 40(21): 195-202.
DOI：

ZHANG Ye. [J]. Automation of electric power systems, 2016, 40(21): 195-202. DOI：

摘要

针对当前绝缘子覆冰监测方法研究现状

提出对于复杂环境下的绝缘子覆冰识别。首先利用模板匹配在图像中实现绝缘子的定位检测

然后对图像进行预处理、图像分割、边缘提取等处理

提取出覆冰前后绝缘子边缘

根据区域像素初步判断有无覆冰

若有覆冰进一步再计算其覆冰厚度。最后利用提出的算法对模拟覆冰实验室和现场采集的输电线路图像进行分析

将算法计算结果与模拟覆冰实验室人工测量的绝缘子覆冰厚度值进行比较

误差小于1.5 mm。结果表明

算法能够识别绝缘子覆冰并计算其覆冰厚度

可以真实地反映现场绝缘子覆冰情况。

Abstract

In view of the status quo of current insulator icing monitoring research

an approach to icing identification for insulator in transmission line images with complex background is proposed. Firstly

position detection of insulators from acquired images is conducted by use of template matching. Then in this area

images will be handled with preprocessing

segmentation and edge extraction. Secondly

icing status is identified based on the pixels of insulator region before and after icing

once it is estimated to be iced

the ice thickness is calculated. Finally

the images captured from the artificial icing laboratory and on-site power transmission lines are used as the analysis objects of the algorithm

the insulator icing thickness is compared between the algorithm results and manual measurements under artificial icing laboratory condition

the thickness error is less than 1. 5 mm. It can be seen that the algorithm can identify icing status and calculate the ice thickness of power transmission line. And analysis results truly reflect the on-site icing conditions of power transmission lines. This work is supported by National Natural Science Foundation of China(No. 51177115)and Key Science and Technology Innovation Team of Shaanxi(No. 2014KCT-16).

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Related Author

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XUE Yusheng

CHANG Kang

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Related Institution

Faculty of Electric Power Engineering, Kunming University of Science and Technology

Yunnan Grid Research Construction and Planning Center of Yunnan Power Grid Co., Ltd.

School of Electrical Engineering and Automation, Harbin Institute of Technology

State Grid Electric Power Research Institute (NARI Group Corporation)

State Key Laboratory of Power Transmission Equipment & System Security and New Technology(Chongqing University)

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