Open AccessResearch on Power Equipment System of Knowledge Graph under Electric Energy in Smart Grid
Author(s) -
Jiangyi Hu,
Nan Zhang,
Yingnan Shang,
Yu Jiang,
Wenqiang Zhang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/714/4/042034
Subject(s) - computer science , construct (python library) , electric power , knowledge graph , big data , smart grid , data science , architecture , grid , service (business) , field (mathematics) , electric power system , data mining , artificial intelligence , power (physics) , engineering , electrical engineering , art , physics , geometry , mathematics , economy , quantum mechanics , pure mathematics , economics , visual arts , programming language
In order to realize technological innovation in the electric power field, the article uses artificial intelligence, big data analysis and mining, knowledge graphs, natural language processing and other technologies to construct Chinese professional dictionaries and knowledge graphs in the electric power field. And on this basis, the thesis puts forward the technical architecture of a comprehensive energy service support system based on the concept of “a picture of the power grid”, a spatiotemporal data management platform and a graph database query application implementation mechanism. Finally, research and design the visualization of the hierarchical organization of the data, use the association relationship between the data to organize the data into multi-topic classification and hierarchical organization, and provide a friendly interactive man-machine interface.