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基于累积灰度模型和随机灰度涨落场的无间隔棒输电线舞动检测

刘军 李小雨 刘华 董子昊 夏英杰 李金屏

郑州大学学报(理学版)2025,Vol.57Issue(6):74-82,9.
郑州大学学报(理学版)2025,Vol.57Issue(6):74-82,9.DOI:10.13705/j.issn.1671-6841.2024104

基于累积灰度模型和随机灰度涨落场的无间隔棒输电线舞动检测

Galloping Detection of Transmission Line without Spacer Based on Cumulative Gray Model and Random Gray Fluctuation Field

刘军 1李小雨 1刘华 1董子昊 1夏英杰 1李金屏1

作者信息

  • 1. 济南大学 信息科学与工程学院 山东 济南 250022||山东省网络环境智能计算技术重点实验室(济南大学) 山东 济南 250022||山东省"十三五"高校信息处理与认知计算重点实验室(济南大学) 山东 济南 250022
  • 折叠

摘要

Abstract

The galloping of transmission lines is a threat to the safty of the power system.Currently,the galloping amplitude was mainly determined by detecting the swing of spacers.However,there was no practical detection method for transmission lines without spacers.A simple,effective and novel method was proposed for detecting the galloping of transmission lines.Firstly,the background model was built by counting the data of grayscale changes over time.Then,a random grayscale fluctuation field was intro-duced to describe the random grayscale fluctuations caused by internal and external factors of the camera.The influence of these fluctuations on the background difference was eliminated by combining the 3σ cri-terion,thus achieving accurate segmentation of the transmission line area.Finally,the movement of the transmission line was mapped to generate a cumulative grayscale model,and its movement amplitude at different positions in a short time was calculated.By comparing with the line width of the transmission line itself,a threshold was set to determine the dancing.The algorithm was validated using field data col-lected by tower cameras,achieving a detection accuracy of 95.5%,a false positive rate of 5.7%,and a false negative rate of 2.0%.This method demonstrated strong robustness and applicability.

关键词

输电线舞动/累积灰度模型/随机灰度涨落场/背景建模/3σ准则

Key words

transmission line galloping/cumulative gray model/random gray fluctuation field/back-ground modeling/3σ criteria

分类

信息技术与安全科学

引用本文复制引用

刘军,李小雨,刘华,董子昊,夏英杰,李金屏..基于累积灰度模型和随机灰度涨落场的无间隔棒输电线舞动检测[J].郑州大学学报(理学版),2025,57(6):74-82,9.

基金项目

山东省重点研发计划项目(2017CXGC0810) (2017CXGC0810)

山东省教育科学"十三五"规划教育招生考试专项课题项目(BYZK201917) (BYZK201917)

郑州大学学报(理学版)

OA北大核心

1671-6841

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