Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/de-gruyter/design-and-optimization-of-molten-salt-reactor-monitoring-system-based-nKJ1HR2p5s
References (7)
-
Hui Liang, Ze-Kang Sang, Yunzhi Wu, You-hua Zhang, R. Zhao (2021)
High precision temperature control performance of a PID neural network-controlled heater under complex outdoor conditionsApplied Thermal Engineering
-
Xinyu Wei, Pengfei Wang, F. Zhao (2016)
Design of a decoupled AP1000 reactor core control system using digital proportional–integral–derivative (PID) control based on a quasi-diagonal recurrent neural network (QDRNN)Nuclear Engineering and Design, 304
-
S. Hosseini, A. Shirani, Mohammad Lotfi, M. Menhaj (2020)
Design and application of supervisory control based on neural network PID controllers for pressurizer systemProgress in Nuclear Energy, 130
-
A. Nuerlan, Pengfei Wang, Rizwan‐uddin, F. Zhao (2020)
A neural network based inverse system control strategy to decouple turbine power in multi-reactor and multi-turbine nuclear power plantProgress in Nuclear Energy, 129
-
Liang Zhao, Hengzhi Gu, Jingxian Xu, Yang Cui, Chun-jiang Shuai (2021)
Research on Simufact simulation data processing system based on QT and MySQLApplied Mathematics and Nonlinear Sciences, 6
-
Q. Bu, Cai Jin, L. Yuanyuan, Mengjie Cao, L. Dong, R. Ruan, H. Mao (2021)
The effect of fuzzy PID temperature control on thermal behavior analysis and kinetics study of biomass microwave pyrolysisJournal of Analytical and Applied Pyrolysis, 158
-
Zihao Meng, Lixin Zhang, He Li, Runmeng Zhou, Haoran Bu, Yongchao Shan, Xiao Ma, Ruihao Ma (2022)
Design and Application of Liquid Fertilizer pH Regulation Controller Based on BP-PID-Smith Predictive Compensation AlgorithmApplied Sciences
- Publisher
- de Gruyter
- Copyright
- © 2022 Walter de Gruyter GmbH, Berlin/Boston
- ISSN
- 0932-3902
- eISSN
- 2195-8580
- DOI
- 10.1515/kern-2022-0055
- Publisher site
- See Article on Publisher Site
Abstract
AbstractThe nuclear power industry is developing rapidly toward intelligence and scale, the digital twin was combined with the industrial interconnection technology to solve the key problems in the application of the digital twin, such as the three-dimensional model presentation, real-time data docking, and the improvement of intelligence degree. Based on the example of Thorium Molten Salt Reactor-Solid Fuel (TMSR-SF0). Firstly, the three-dimensional twin of nuclear power equipment is constructed and the real-time update of twin data is realized based on the Node-EPICS event driver and Websocket communication protocol; Then, the communication interface with MySQL database is developed to realize the storage and management of data; Finally, the PID control system of molten salt circuit pipeline is integrated with back propagation neural network algorithm, and the efficiency and precision of temperature control system are improved by self-modification of weight. The results show that this system has the functions of three-dimensional display, network communication, data storage, and parameter optimization, and the data update cycle is raised to 100 ms, which can provide a certain reference value for the digital transformation of the nuclear monitoring field.
Journal
Kerntechnik – de Gruyter
Published: Dec 1, 2022
Keywords: digital twin; EPICS; monitoring system; PID neural network; TMSR