智能电力配网施工合规性监测系统  

A Compliance Monitoring System for Power Distribution Network Construction Based on Line and Object Detection

作　　者：李欢 李博彤 齐研 郭尚蓬 吕涵 LI Huan;LI Botong;QI Yan;GUO Shangpeng;LYU Han(Tianjin Bindian Electric Power Engineering Co.,LTD,Tianjin 300450,China;tate Grid Tianjin Electric Power Company,Tianjin 300000,China;State Grid Tianjin Binhai Electric Power Supply Company,Tianjin 300450,China)

机构地区：[1]天津滨电电力工程有限公司,天津300450 [2]国网天津市电力公司,天津300000 [3]国网天津滨海供电分公司,天津300450

出　　处：《网络新媒体技术》2025年第1期58-68,共11页Network New Media Technology

基　　金：国网天津市电力公司科技项目:融合群智感知的配网工程安全管控关键技术研究(编号:滨电-研发-2024-01)。

摘　　要：传统人工巡检效率低、成本高、覆盖范围有限,难以满足现代电力配网施工的复杂监测需求。为此,提出一种基于深度霍夫变换直线检测和基于YOLOv8目标检测的电力配网施工合规性监测系统。该系统利用深度霍夫变换技术检测电力设施,并引入畸变矫正子网络来校正图像畸变,提高复杂场景下的检测性能。采用YOLOv8算法进行目标检测,识别施工现场的人员、工具和标识。实验结果表明,基于深度霍夫变换直线检测方法在电线杆和电线检测中优于传统直线检测方法,基于YOLOv8的目标检测算法能够实现高精度识别,为电力配网施工合规性监测提供了可靠支持。Traditional manual inspection has low efficiency,high cost and limited coverage,which is difficult to meet the complex monitoring needs of modern power distribution network construction.Therefore,a construction compliance monitoring system of power distribution network based on deep Hoff transform linear detection and YOLOv8 target detection algorithm is proposed.The system uses deep Hough transform technology to detect power facilities,and introduces distortion correction subnetwork to correct the image distortion and improve the detection performance in complex scenes.YOLOv8 algorithm was used for target detection to identify personnel,tools and signs on the construction site.The experimental results show that the Hough transform linear detection method is superior to the traditional linear detection method in the detection of poles and wires,and the target detection algorithm can realize high-precision identification,which provides reliable support for the construction compliance monitoring of power distribution network.

关 键 词：电力配网施工 深度霍夫变换 目标检测 畸变矫正子网络 语义分割 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TM76[自动化与计算机技术—计算机科学与技术]