The Application of Artificial Intelligence Technology in the Management of Distribution Network Graphics and Models

Yulin Qian, Kexin Zhang, Hang Li, Yang Zhang,Zhihao Zhang,Chengcheng Whang

2021 IEEE Sustainable Power and Energy Conference (iSPEC)(2021)

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摘要
The new generation of artificial intelligence technology represented by big data analysis and deep learning is an important means to lead the industry’s intelligent upgrading and digital transformation. With the advancement and construction of distribution network automation and enterprise middle stations, the distribution network business is showing a development trend of multi-relation and high integration. As a connection object between various business systems, graph model data plays a very important role. This paper proposes a method to manage distribution network graphics and models in the field of power system by using artificial intelligence technologies such as deep machine learning and image recognition. It can intelligently identify and organize the distribution network equipment, connections, text and other elements in CAD(Computer Aided Design) drawings, and automatically generate a structured picture description file of the distribution network wiring diagram, and on this basis, runs through the graphical models import and update process of the distribution network production management system, effectively solving the pain points of the distribution network business, and improving the intelligent level of the distribution network diagram model operation and maintenance.
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关键词
artificial intelligence,deep learning,image identification,distribution network graphics and models management
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