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电气接线图的矢量化技术研究

张勇 宋爱波 苏猛猛 王天予 王清未 陈锐

浙江电力2024,Vol.43Issue(8):28-35,8.
浙江电力2024,Vol.43Issue(8):28-35,8.DOI:10.19585/j.zjdl.202408004

电气接线图的矢量化技术研究

Research on vectorization technology for electrical wiring diagrams

张勇 1宋爱波 2苏猛猛 1王天予 2王清未 1陈锐2

作者信息

  • 1. 国家电网有限公司华北分部调度控制中心,北京 100032
  • 2. 东南大学 计算机科学与工程学院,南京 214135
  • 折叠

摘要

Abstract

Electrical wiring diagrams,which represent the positions of electrical equipment and describe their wir-ing and cabling methods,need to be converted into XML for smart grid system scheduling and management.This conversion process is known as vectorization.To address the inefficiencies and time-consuming nature of manual vec-torization,this paper proposes a solution for vectorizing electrical wiring diagrams.First,the paper introduces an at-tention mechanism-enhanced YOLOv3 method for precise recognition and localization of graphic elements in electri-cal wiring diagrams.Next,it proposes a text region detection algorithm based on multi-scale feature extraction to lo-cate electrical text annotation areas on the diagrams,and uses a CRNN model to recognize their content.Finally,the paper presents a vectorization strategy based on template matching,which analyzes the relationships between electrical elements on the diagrams at the graphic element group level.This method has been practically deployed and can efficiently and accurately complete the vectorization of electrical wiring diagrams,meeting the application needs of power systems.

关键词

电气接线图/矢量化/目标检测/文本识别/模板匹配

Key words

electrical wiring diagram/vectorization/object detection/text recognition/template matching

引用本文复制引用

张勇,宋爱波,苏猛猛,王天予,王清未,陈锐..电气接线图的矢量化技术研究[J].浙江电力,2024,43(8):28-35,8.

基金项目

国家自然科学基金(62061146001) (62061146001)

国家电网科技部项目(5108202340042A-1-1-ZN) (5108202340042A-1-1-ZN)

浙江电力

OACSTPCD

1007-1881

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