[1]马洲俊,王茂飞,蒋承伶.一种融合直线机制与膨胀算法的输电线路异物检测方法[J].机械与电子,2024,42(05):29-35.
　MA Zhoujun,WANG Maofei,JIANG Chengling.Detection Method of Foreign Objects on Transmission Lines Based on Linear Detection Mechanism and Regional Expansion Algorithm[J].Machinery & Electronics,2024,42(05):29-35.
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一种融合直线机制与膨胀算法的输电线路异物检测方法()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
42
期数:
2024年05期
页码:
29-35
栏目:
自动控制与检测
出版日期:
2024-05-25

文章信息/Info

Title:
Detection Method of Foreign Objects on Transmission Lines Based on Linear Detection Mechanism and Regional Expansion Algorithm
文章编号:
1001-2257 ( 2024 ) 05-0029-07
作者:
马洲俊 1 ; 王茂飞 2 ; 蒋承伶 1
1. 国网江苏省电力有限公司,江苏 南京 210024 ;
2. 国网江苏泰州供电公司,江苏 泰州 225300
Author(s):
MA Zhoujun1 ;  WANG Maofei2 ;  JIANG Chengling1
( 1.State Grid Jiangsu Electric Power Co. , Ltd. , Nanjing 210024 , China ; 2.State Grid Taizhou Power Supply Company , Taizhou 225300 , China )
关键词:
特征提取; 异物检测; 直线机制; 区域膨胀; 输电线路
Keywords:
feature extraction ;  foreign objects detection ;  linear mechanism ;  regional expansion ;  transmission line
分类号:
TM75
文献标志码:
A
摘要:
针对目前输电线路上的异物检测方法存在效率低和精度低的问题,提出了一种三步走的输电线提取方法及基于矩形区域膨胀的异物检测算法。首先,融合多种特征提取算子对输电线图像的边缘特征进行检测,并利用高斯金字塔进行特征优化,加快特征提取速度;其次,基于直线特征识别的相似机制来对输电线进行提取,在输电线提取的基础上利用矩形区域膨胀检测实现输电线上异物检测与定位;最后通过实验证明,所提方法针对大、小目标异物的检测准确率分别可以达到 99.21% 和 93.89% ,其对应的检测时间分别为 120 ms 和 60 ms 。结果表明,该方法与现有的常规方法相比,所提取的输电线和异物检测的准确率更高,可以大幅提升异物检测的安全性和效率。
Abstract:
The current methods for detecting foreign objects on transmission lines suffer from low efficiency and accuracy , a three-step approach for transmission line extraction and a foreign object detection algorithm based on rectangular region expansion are proposed.Firstly , a variety of feature extraction operators are fused to detect the edge features of the image , and Gaussian pyramid is used for feature optimization to accelerate the speed of feature extraction ; secondly , the transmission lines are extracted based on the similarity mechanism of linear feature recognition , based on the extraction of transmission lines , the detection and location of foreign objects on transmission lines are realized by means of rectangular region expansion detection ; finally , it is proved? through experiments that the detection accuracy of the method proposed in this paper can reach 99.21% and 93.89% for large and small target foreign objects respectively , and its corresponding detection time reaches 120 ms and 60 ms , respectively.The results show that compared with the existing conventional methods , the proposed method has a higher accuracy in the detection of power lines and foreign objects , and can greatly improve the safety and efficiency of foreign objects detection.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2023-07-09
基金项目:国网江苏电力有限公司科技项目( J2022004 )
作者简介:马洲俊 ( 1986- ),男,江苏无锡人,博士,高级工程师,研究方向为电力系统调度运行及数字化建设管理;王茂飞 ( 1991- ),男,江苏泰州人,硕士,工程师,研究方向为智能运检技术,通信作者。
更新日期/Last Update: 2024-06-24