Open AccessDesign of automatic generation system of equipment protection common sense pocket book content based on power big data
Author(s) -
Hailin Gu,
Pan Hu,
Jun Qi,
Liang Bai,
Yu Xia
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1873/1/012028
Subject(s) - big data , software , process (computing) , computer science , cluster analysis , architecture , power (physics) , embedded system , computer hardware , operating system , artificial intelligence , art , physics , quantum mechanics , visual arts
In order to improve the power system and process, strengthen personnel training and guidance, this paper proposes a new automatic generation system of equipment protection knowledge pocket book content based on power big data. Firstly, the architecture of each level of the system is designed. Secondly, according to the architecture design results, the main hardware and software of the system are designed. The hardware mainly includes pocket book content naming module, user management module and pocket book content automatic generation module. In the software part, K-mean clustering algorithm is used to cluster the power big data, and the main content of equipment protection knowledge in power big data is extracted. The above hardware and software are combined to complete the design of automatic generation system for the contents of power equipment protection pocket book. The experimental results show that the performance of the system is greatly improved.