CIM/G graphics automatic generation in substation primary wiring diagram based on image recognition. (August 2020)

• Record Type: Journal Article
• Authors: Peng, Zhang; Yan, Geng; Zhongshan, Qu; Huiyong, Liu; Mouying, Li; Shengnan, Liu
• Is Part Of: Journal of physics. Volume 1617(2020)
• Publication Date: 2020-08
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1617/1/012007
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: With the further development of smart grids, people put forward more requirements for the intelligent level of the dispatching automation system, and the demands for unified substation standard, realization of unified association and sharing of models, data and graphics are gradually increasing. Relying on the CAD, PDF and other graphic format files of the substation, we use grid recognition technology based on image recognition and OCR to identify standard primitives, topological connections, device names and other information, and automatically draw standard CIM/G files. For the identified CIM/G file, we use related technologies of natural language to associate the primitives in the CIM/G file with the model data, and form the overall solution for a grid substation wiring diagram primitive recognition, text recognition, topology recognition, model association. We also construction substation graphic file recognition and construction system based on the image recognition to support the maintenance of the substation graphic inside the control center. Through the system deployment application, it is verified that the method can effectively reduce the workload of manual maintenance and improve work efficiency.