Research on the Structure of Smart Power Plant Based on In-depth Learning

被引：1

作者：

Lu, Ruonan ^{[1
]}

机构：

[1] North China Elect Power Univ, Dept Automat, Baoding City, Hebei, Peoples R China

来源：

2019 5TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION | 2020年 / 440卷

关键词：

Smart power plant; smart; In-depth Learning; structure;

D O I：

10.1088/1755-1315/440/3/032113

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The construction of intelligent power plant is not only a positive response to the corresponding policies of the country, but also more in line with the development trend of the modern information age, which is conducive to fully exploiting the potential of various resources of power enterprises and improving the actual operating efficiency and economic benefits of enterprises. Based on the analysis of the present situation of China's power generation enterprises and the exploration road of smart power generation, this paper explains the background and definition of the generation of intelligent power plants, discusses the structure system and functions of each level of smart power plants, and analyzes the structure of smart power plants. The smart power plant built on the basis of big data application is also introduced finally.

引用

页数：4