Research on Temperature Measurement of Key Components in Transmission Lines Based on C2f-FADC-YOLOv8 and SE-ORB-VGG16

WANG Yong; XU Yuncheng; WU Youpeng; TAN Fangxiong; ZHAO Yun

doi:10.13296/j.1001-1609.hva.2025.11.019

您当前的位置：

首页 >

文章列表页 >

Research on Temperature Measurement of Key Components in Transmission Lines Based on C2f-FADC-YOLOv8 and SE-ORB-VGG16

Research & Analysis | 更新时间：2025-11-04

- Research on Temperature Measurement of Key Components in Transmission Lines Based on C2f-FADC-YOLOv8 and SE-ORB-VGG16
- High Voltage Apparatus Vol. 61, Issue 11, Pages: 203-211(2025)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2025.11.019
  CLC：
- Received：07 May 2025，
  
  Revised：2025-07-28，
  
  Published：16 November 2025
- 稿件说明：
移动端阅览
WANG Yong, XU Yuncheng, WU Youpeng, et al. Research on Temperature Measurement of Key Components in Transmission Lines Based on C2f-FADC-YOLOv8 and SE-ORB-VGG16[J]. High voltage apparatus, 2025, 61(11): 203-211.
DOI：

WANG Yong, XU Yuncheng, WU Youpeng, et al. Research on Temperature Measurement of Key Components in Transmission Lines Based on C2f-FADC-YOLOv8 and SE-ORB-VGG16[J]. High voltage apparatus, 2025, 61(11): 203-211. DOI： 10.13296/j.1001-1609.hva.2025.11.019.

摘要

输电线路中关键部件如避雷器、悬垂绝缘子串等的温度监测对电网的安全稳定运行至关重要。为了提高温度监测的准确率。文中基于红外检测提出了一种基于改进YOLOv8方法。首先，针对输电线路关键部位远距离高精度识别问题，在YOLOv8的C2f模块中嵌入FADC模块得到改进的C2f-FADC-YOLOv8网络。其次，提出SE-ORB-VGG16网络。该网络有效结合了ORB的浅层特征提取与VGG16的深层特征提取能力，并通过SE注意力模块优化了配准过程。结合温度计算获取了从电力设备可见光图像上识别部件对应红外图像上的温度信息。实验结果显示，文中方法在识别精度上相较于改进前提升了2.9%，在召回率和

mAP

50上分别提升了2.4%和3.4%，在

MAE

、

RMSE

等指标误差值均小于其他算法，温度监测的绝对误差最小，为输电线路上温度监测提供了有力的技术支持。

Abstract

The temperature monitoring of such key components as lightning arresters and suspension insulator strings in transmission lines is crucial for safe and stable operation of power grid. For improving the accuracy of temperature monitoring，in this paper an improved YOLOv8 method based on infrared detection is propsoed. First，as for the issue of high-precision identification of key position of transmission lines over long distances，the FADC module is embedded in to the C2f module of YOLOv8 to get the improved C2f-FADC-YOLOv8 network. Then，the SE-ORB-VGG16 network is proposed. This network effectively combines the shallow feature extraction capability of ORB with the deep feature extraction capability of VGG16 and optimizes the registration process through SE attention module. Combined with temperature calculation，temperature information is obtained from the infrared image corresponding to the recognized component on the visible light image of the power equipment. The experimental results show that the method proposed in this paper has improved recognition accuracy by 2.9% compared to that before improvement， and has increased recall rate and

mAP

50 by 2.4% and 3.4% respectively. The error values

MAE

，

RMSE

and other indicators are smaller than other algorithms，and the absolute error of temperature monitoring is minimum，which provides strong technical support for temperature monitoring on transmission lines.

关键词

Keywords

references

程广通 . 输电线路覆冰厚度监测技术研究与应用 [D ] . 保定 : 华北电力大学 , 2014 .

CHENG Guangtong . Research and application of transmission line icing thickness monitoring technology [D ] . Baoding : North China Electric Power University , 2014 .

郝艳捧 , 王信媛 , 梁苇 , 等 . 连续3天覆冰微气象数据驱动的架空输电线路覆冰类型识别与预测 [J ] . 南方电网技术 , 2023 , 17 ( 6 ): 107 - 116 .

HAO Yanpeng , WANG Xinyuan , LIANG Wei , et al . Ice types identification and prediction of overhead transmission lines driven by micro-meteorological data of three consecutive days icing [J ] . Southern Power System Technology , 2023 , 17 ( 6 ): 107 - 116 .

姚磊 , 迟兴江 , 张雷 , 等 . 基于小型移动机器人的高压架空输电线路融冰技术 [J ] . 电测与仪表 , 2024 , 61 ( 12 ): 34 - 41 .

YAO Lei , CHI Xingjiang , ZHANG Lei , et al . Melting technology for high-voltage overhead transmission lines based on small mobile robot [J ] . Electrical Measurement & Instrumentation , 2024 , 61 ( 12 ): 34 - 41 .

黄力 , 宋爽 , 刘闯 , 等 . 基于IHHO-HKELM输电线路覆冰预测模型 [J ] . 电力科学与技术学报 , 2024 , 39 ( 4 ): 33 - 41 .

HUANG Li , SONG Shuang , LIU Chuang , et al . Icing prediction model of transmission line based onIHHO-HKELM [J ] . Journal of Electric Power Science and Technology , 2024 , 39 ( 4 ): 33 - 41 .

曹雯 , 李振涛 , 申巍 , 等 . 输电线路中污秽复合绝缘子异常发热研究 [J ] . 西安工程大学学报 , 2023 , 37 ( 6 ): 60 - 68 .

CAO Wen , LI Zhentao , SHEN Wei , et al . Study on abnormal heating of polluted composite insulators in transmission lines [J ] . Journal of Xi’an Polytechnic University , 2023 , 37 ( 6 ): 60 - 68 .

贾科 , 刘可歆 , 毕天姝 , 等 . 基于波形匹配的柔性直流输电线路单端量保护研究 [J ] . 电力系统保护与控制 , 2025 , 53 ( 3 ): 13 - 26 .

JIA Ke , LIU Kexin , BI Tianshu , et al . Research on single-ended protection of a flexible HVDC transmission line based on waveform matching [J ] . Power System Protection and Control , 2025 , 53 ( 3 ): 13 - 26 .

LIU Y , GENG L , ZHANG W , et al . Survey of video based mall target detection [J ] . Journal of Image and Graphics , 2021 , 9 ( 4 ): 122 - 134 .

朱海南 , 李丰硕 , 孙华忠 , 等 . 基于改进AlexNet-GRU深度学习网络的配电网短期负荷预测方法 [J ] . 电力电容器与无功补偿 , 2023 , 44 ( 4 ): 48 - 54 .

ZHU Hainan , LI Fengshuo , SUN Huazhong , et al . Short-term load prediction method of distribution network based on improved AlexNet - GRU deep learning network [J ] . Power Capacitor &Reactive Power Compensation , 2023 , 44 ( 4 ): 48 - 54 .

王杨杨 , 曹晖 , 莫文昊 . 基于深度学习的改进型YOLOv4输电线路鸟巢检测与识别 [J ] . 智慧电力 , 2023 , 51 ( 1 ): 101 - 107 .

WANG Yangyang , CAO Hui , MO Wenhao . Bird’s nest detection and identification on improved YOLOv4 transmission line based on deep learning [J ] . Smart Power , 2023 , 51 ( 1 ): 101 - 107 .

褚雪汝 , 陈中 , 吴聪颖 , 等 . 基于深度学习的电气二次图纸语义识别方法 [J ] . 浙江电力 , 2023 , 42 ( 8 ): 1 - 11 .

CHU Xueru , CHEN Zhong , WU Congying , et al . Small target area extraction and semantic recognition method of electrical secondary drawings based on deep learning [J ] . Zhejiang Electric Power , 2023 , 42 ( 8 ): 1 - 11 .

SALEHI A W , KHAN S , GUPTA G , et al . A study of CNN and transfer learning in medical imaging:Advantages,challenges, future scope [J ] . Sustainability , 2023 , 15 ( 7 ): 5930 .

WANG Tao , ZHANG Kunming , ZHANG Wu , et al . Tea picking point detection and location based on Mask-RCNN [J ] . Information Processing in Agriculture , 2023 , 10 ( 2 ): 267 - 275 .

SAHIN M E , ULUTAS H , YUCE E , et al . Detection and classification of COVID-19 by using faster R-CNN and mask R-CNN on CT images [J ] . Neural Computing & Applications , 2023 , 35 ( 18 ): 13597 - 13611 .

DIWAN T , ANIRUDH G , TEMBHURNE J V . Object detection using YOLO: Challenges,architectural successors,datasets and applications [J ] . Multimedia Tools and Applications , 2023 , 82 ( 6 ): 9243 - 9275 .

YANG Guoliang , WANG Jixiang , NIE Ziling , et al . A lightweight YOLOv8 tomato detection algorithm combining feature enhancement and attention [J ] . Agronomy , 2023 , 13 ( 7 ): 1824 .

PAUL S , PATI U C . Acomprehensive review on remote sensing image registration [J ] . International Journal of Remote Sensing , 2021 , 42 ( 14 ): 5396 - 5432 .

田雪伟 , 汪佳丽 , 陈明 , 等 . 改进SegFormer网络的遥感图像语义分割方法 [J ] . 计算机工程与应用 , 2023 , 59 ( 8 ): 217 - 226 .

TIAN Xuewei , WANG Jiali , CHEN Ming , et al . Improved SegForm er network based method for semantic segmentation of remote sensing images [J ] . Computer Engineering and Applications , 2023 , 59 ( 8 ): 217 - 226 .

MA Jiayi , JIANG Xingyu , FAN Aoxiang , et al . Image matching from handcrafted to deep features: A survey [J ] . International Journal of Computer Vision , 2021 , 129 ( 1 ): 23 - 79 .

FENG Ruitao , SHEN Huanfeng , BAI Jianjun , et al . Advances and opportunities in remote sensing image geometric registration: a systematic review of state-of-the-art approaches and future research directions [J ] . IEEE Geoscience and Remote Sensing Magazine , 2021 , 9 ( 4 ): 120 - 142 .

YANG Zhuoqian , DAN Tingting , YANG Yang . Multi-temporal remote sensing image registration using deep convolutional features [J ] . IEEE Access , 2018 , 12 ( 6 ): 38544 - 38555 .

陈颖 , 张祺 , 李文举 , 等 . 参数合成空间变换网络的遥感图像一致性配准 [J ] . 中国图象图形学报 , 2021 , 26 ( 12 ): 2964 - 2980 .

CHEN Ying , ZHANG Qi , LI Wenju , et al . Consistent registration of remote sensing images in parametric synthesized spatial transformation network [J ] . Journal of Image and Graphics , 2021 , 26 ( 12 ): 2964 - 2980 .

CHEN Weitao , WANG Zhibin , LI Hao . Get better 1 pixel PCK:Ladder scales correspondence flow networks for remote sensing image matching in higher resolution [C ] // IEEE/CVF International Conference on Computer Vision Workshops(ICCVW) . Montreal, Canada : IEEE , 2021 : 742 - 751 .

伍箴燎 , 吴正平 , 孙水发 . 基于改进YOLOv5算法的绝缘子多缺陷检测 [J ] . 高压电器 , 2024 , 60 ( 12 ): 95 - 102 .

WU Zhenliao , WU Zhengping , SUN Shuifa . Multiple defect detection of insulators based on improved YOLOv5 algorithm [J ] . High Voltage Apparatus , 2024 , 60 ( 12 ): 95 - 102 .

游越 , 伊力哈木·亚尔买买提 , 吐松江·卡日 . 基于YOLOv6的输电线路电力部件识别及缺陷检测算法研究 [J ] . 高压电器 , 2024 , 60 ( 5 ): 194 - 205 .

YOU Yue , YILIHAMU Yaermaimaidi , TUSONGJIANG Kari . Research on power component identification of transmission line and defect detection algorithm based on YOLOv6 [J ] . High Voltage Apparatus , 2024 , 60 ( 5 ): 194 - 205 .

严宇平 , 杨秋勇 , 谢翰阳 , 等 . 基于改进YOLOv7的输电线路异物检测模型 [J ] . 南方电网技术 , 2024 , 18 ( 9 ): 47 - 58 .

YAN Yuping , YANG Qiuyong , XIE Hanyang , et al . Foreign object detection model of transmission line based on improved YOLOv7 [J ] . Southern Power System Technology , 2024 , 18 ( 9 ): 47 - 58 .

刘辉 , 张洋 , 李子岳 , 等 . 复合绝缘子内部缺陷微波致热检测方法 [J ] . 高压电器 , 2023 , 59 ( 3 ): 179 - 188 .

LIU Hui , ZHANG Yang , LI Ziyue , et al . Internal defect detection method of composite insulator based on microwave heating [J ] . High Voltage Apparatus , 2023 , 59 ( 3 ): 179 - 188 .

李浩伟 , 张楚岩 , 史梓男 , 等 . 基于红外图像检测和改进YOLOv4的高压套管故障识别方法 [J ] . 高压电器 , 2023 , 59 ( 11 ): 24 - 31 .

LI Haowei , ZHANG Chuyan , SHI Zinan , et al . Fault identification method of high-voltage bushing based on infrared image detection and improved YOLOv4 algorithm [J ] . High Voltage Apparatus , 2023 , 59 ( 11 ): 24 - 31 .

CHEN Linwei , GU Lin , ZHENG Dezhi , et al . Frequency-adaptive dilated convolution for semantic segmentation [C ] // IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR) . Seattle, USA : IEEE , 2024 : 3414 - 3425 .

金立军 , 曹培 , 胡娟 . 可见光图像颜色特征与支持向量机相结合的绝缘子污秽状态识别方法 [J ] . 高压电器 , 2015 , 51 ( 2 ): 1 - 7 .

JIN Lijun , CAO Pei , HU Juan . Identification of insulator contamination grade combining color features of visual image with support vector machine [J ] . High Voltage Apparatus , 2015 , 51 ( 2 ): 1 - 7 .

万睿哲 , 张鹏 , 刘鹏 . 改进ORB特征提取环节的视觉SLAM算法 [J ] . 国外电子测量技术 , 2024 , 43 ( 4 ): 55 - 61 .

WAN Ruizhe , ZHANG Peng , LIU Peng . Visual SLAM algorithm for improving ORB feature extraction session [J ] . Foreign Electronic Measurement Technology , 2024 , 43 ( 4 ): 55 - 61 .

朱标 . 基于优化ORB算法的图像角点特征匹配方法 [J ] . 重庆工商大学学报(自然科学版) , 2021 , 38 ( 4 ): 42 - 51 .

ZHU Biao . An image corner features matching method based on optimized ORB algorithm [J ] . Journal of Chongqing Technology and Business(Natural Sciences Edition) , 2021 , 38 ( 4 ): 42 - 51 .

于晓 , 庄光耀 . 基于轻量化VGG16和BCBAM的电力设备故障红外图像诊断识别 [J ] . 河南科技学院学报(自然科学版) , 2023 , 51 ( 6 ): 60 - 69 .

YU Xiao , ZHUANG Guangyao . Fault diagnosis and recognition of power equipment infrared images based on lightweight VGG16 and BCBAM [J ] . Journal of Henan Institute of Science and Technology (Natural Sciences Edition) , 2023 , 51 ( 6 ): 60 - 69 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Live Working Insulation Blanket Surface Defect Recognition Based on Improved YOLOv8

Design and Application of Wireless Temperature Monitoring System for Switchgear Assemblies Based on Zigbee Technology

Wireless Powered Sensor for Temperature Monitoring of MV Switchgear

Fusion Design and Test of RFID Passive Wireless Temperature Sensor and Air-core Reactor

Temperature Monitoring on Disconnector Contact of 500 kV GIS and Optimal Placement of Temperature Sensors on Enclosure

Related Author

PU Ziheng

FANG Chunhua

ZHAO Wenjun

TANG Pan

WANG Mingxin

WU Tian

JIANG Xiu-bo3

CHEN Xiang-wei2

Related Institution

College of Electrical Engineering and New Energy, China Three Gorges University

Hubei Provincial Engineering Technology Research Center for Power Transmission Line, China Three Gorges University

State Key Laboratory of Power Grid Environmental Protection, China Electric Power Research Institute

Fujian Electric Power Co.,Ltd.Zhangzhou Electric Power Bureau

Fujian Electric Power Co.,Ltd.Fuzhou Electric Power Bureau

⁰