Open AccessDesign and Implementation of the“Internet plus” Intelligent power simulation and learning system
Author(s) -
Xiaojun Zhao,
Feng Gao,
Wang Geng,
Jiaoyang Shi,
Yang Jian-mei,
Aichun Sun
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 - 10.1088/1742-6596/1887/1/012028
Subject(s) - computer science , process (computing) , the internet , autonomous learning , adaptive learning , cloud computing , carry (investment) , artificial intelligence , electric power system , power (physics) , simulation , world wide web , operating system , physics , mathematics education , mathematics , quantum mechanics , finance , economics
Aiming at the shortcomings of the existing power simulation training system, this paper proposes a design of the Internet plus intelligence power simulation and learning system based on cloud computing, artificial intelligence and adaptive learning technology. The system solves the problems of dispatching, monitoring, operation and maintenance personnel unable to use fragmented time to carry out simulation learning at any time and anywhere, can not carry out adaptive learning according to learners’ knowledge and skills, lack of guidance and evaluation system in the process of distance autonomous learning, lack of interest in the system, and can not effectively stimulate the learning interest of learners. The research results of this paper have been successfully applied in Gansu Electric Power Company, with the characteristics of convenient use, high cost performance, more intelligent and so on, and obtained good training effect.