Vector Extraction from Design Drawings for Intelligent 3D Modeling of Transmission Towers  

作　　者：Ziqiang Tang Chao Han Hongwu Li Zhou Fan Ke Sun Yuntian Huang Yuhang Chen Chenxing Wang 

机构地区：[1]State Grid Jiangsu Electric Power Co.,Ltd.Construction Branch,Nanjing,210011,China [2]School of Automation,Southeast University,Nanjing,210096,China

出　　处：《Computers, Materials & Continua》2025年第2期2813-2829,共17页计算机、材料和连续体(英文)

基　　金：funded by the Chinese State Grid Jiangsu Electric Power Co.,Ltd.Science and Technology Project Funding,Grant Number J2023031.

摘　　要：Accurate vector extraction from design drawings is required first to automatically create 3D models from pixel-level engineering design drawings. However, this task faces the challenges of complicated design shapes as well as cumbersome and cluttered annotations on drawings, which interfere with the vector extraction heavily. In this article, the transmission tower containing the most complex structure is taken as the research object, and a semantic segmentation network is constructed to first segment the shape masks from the pixel-level drawings. Preprocessing and postprocessing are also proposed to ensure the stability and accuracy of the shape mask segmentation. Then, based on the obtained shape masks, a vector extraction network guided by heatmaps is designed to extract structural vectors by fusing the features from node heatmap and skeleton heatmap, respectively. Compared with the state-of-the-art methods, experiment results illustrate that the proposed semantic segmentation method can effectively eliminate the interference of many elements on drawings to segment the shape masks effectively, meanwhile, the model trained by the proposed vector extraction network can accurately extract the vectors such as nodes and line connections, avoiding redundant vector detection. The proposed method lays a solid foundation for automatic 3D model reconstruction and contributes to technological advancements in relevant fields.

关 键 词：Design drawings semantic segmentation deep learning vector extraction DIGITIZATION 3D modeling 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]