电气接线图的矢量化技术研究OACSTPCD

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.