HTFP2D: An efficient transform framework for power primary drawing

Power system needs not only graphics files, but also model files to realize mapping and association between power equipment and drawings. Drawing files are often composed of hundreds of graphic elements, which need to be transformed into structured model files through identification. In this paper,...

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Veröffentlicht in:Journal of physics. Conference series 2021-03, Vol.1861 (1), p.12090
Hauptverfasser: Hongbo, Liang, zhanfeng, Wang, Xiaoting, Chen
Format: Artikel
Sprache:eng
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Zusammenfassung:Power system needs not only graphics files, but also model files to realize mapping and association between power equipment and drawings. Drawing files are often composed of hundreds of graphic elements, which need to be transformed into structured model files through identification. In this paper, a hybrid transformation framework of primary power drawing (htfp2d) is proposed. The method of text and graphics recognition is integrated. Through the identification of key elements, the model file of a drawing is constructed and the drawing is redrawn. Experiments show that the method can effectively identify various drawings and promote the inheritance and use of historical drawing resources.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1861/1/012090