作者：张洋¹, 舒征宇¹, 陈琳², 杨世勇², 李世春¹, 刘阳²

作者单位：1. 三峡大学电气与新能源学院, 湖北 宜昌 443000;
2. 国网湖北省电力有限公司宜昌供电公司, 湖北 宜昌 443000

关键词：覆冰质量;扫描线填充算法;SURF算法;图像拼接

摘要：

针对不同气候条件下形成的不同类型的覆冰层，致使传统均值密度法计算覆冰质量误差较大的问题，提出一种基于图像拼接的线路覆冰质量估算方法。采用改进的扫描线填充算法对航拍导线图像中的雨雪噪声进行填充，以减少雨雪对图像的干扰。引入SURF算法对具有邻接关系的导线图像特征提取，结合改进的加权融合算法按权重比例分配实现图像拼接，利用拼接图像中杆塔与弧垂所占像素比例计算出覆冰导线的最大弧垂。基于输电线路抛物线理论，分析覆冰荷载与弧垂的对应关系并求解出覆冰的质量。仿真结果表明：该文所提方法估算覆冰质量与实测值平均绝对百分比误差为3.634%，对线路覆冰研究具有一定指导意义。

Research on line ice cover quality estimation based on image stitching
ZHANG Yang¹, SHU Zhengyu¹, CHEN Lin², YANG Shiyong², LI Shichun¹, LIU Yang²
1. College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443000, China;
2. Yichang Power Supply Company, State Grid Hubei Electric Power Co., Ltd., Yichang 443000, China
Abstract: For the different types of ice cover formed under different climatic conditions, resulting in the traditional mean density method to calculate the ice cover quality error, a line ice cover quality estimation method based on image stitching is proposed. Firstly, the improved scan line filling algorithm is used to fill the rain and snow noise in the aerial photograph wire image to reduce the interference of rain and snow on the image, and the SURF algorithm is introduced to extract the features of the wire image with neighboring relationship, combined with the improved weighted fusion algorithm to achieve image stitching according to the proportional distribution of weights, using the proportion of pixels occupied by the pole tower and arc sag in the stitched image to calculate the maximum arc sag of the ice-covered wire, and finally based on the Finally, based on the parabolic theory of transmission lines, the corresponding relationship between ice load and arc sag is analyzed to solve for the mass of ice cover. The simulation results show that the average absolute percentage error between the proposed method and the measured value is 3.634%, which is of some significance for the research of line ice cover.
Keywords: quality of ice cover;scan line filling algorithm;SURF algorithm;image stitching
2023, 49(5):108-116  收稿日期: 2022-12-29;收到修改稿日期: 2023-02-11
基金项目: 国家自然科学基金项目(51907104)
作者简介: 张洋(1998-),男,湖北黄冈市人,硕士研究生,专业方向为智能电网运维
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