Research on vectorization technology for electrical wiring diagrams

Abstract

Electrical wiring diagrams， which represent the positions of electrical equipment and describe their wiring 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 vectorization， this paper proposes a solution for vectorizing electrical wiring diagrams. First， the paper introduces an attention mechanism-enhanced YOLOv3 method for precise recognition and localization of graphic elements in electrical wiring diagrams. Next， it proposes a text region detection algorithm based on multi-scale feature extraction to locate 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.

Keywords

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