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Toward a Web-Based Digital Twin Thermal Power Plant.

Authors :
Lei, Zhongcheng
Zhou, Hong
Hu, Wenshan
Liu, Guo-Ping
Guan, Shiqi
Feng, Xingle
Source :
IEEE Transactions on Industrial Informatics; Mar2022, Vol. 18 Issue 3, p1716-1725, 10p
Publication Year :
2022

Abstract

As a crucial part of cyber-physical systems, a digital twin can process data, visualize processes, and send commands to the control system, which can be used for the research on thermal power plants that are vital for providing energy for manufacturing and industry, and also daily consumptions. This article introduces the methodologies and techniques toward a web-based digital twin thermal power plant. To implement a web-based digital twin thermal power plant, the architecture, modeling, control algorithm, rule model, and physical-digital twin control are explored. The potential functionalities of the web-based digital twin including real-time monitoring, visualization and interactions, and provided services for physical thermal plants and universities are also presented. A case study has been provided to illustrate the web-based digital twin power plant. The research in this article can provide potential solutions for web-based digital twin research and education. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15513203
Volume :
18
Issue :
3
Database :
Complementary Index
Journal :
IEEE Transactions on Industrial Informatics
Publication Type :
Academic Journal
Accession number :
154073804
Full Text :
https://doi.org/10.1109/TII.2021.3086149