PCTran-Cloud: an Accident Simulator for Nuclear Power Plants Based on Cloud Technology
4th International Conference on Artificial Intelligence and Advanced Manufacturing, AIAM 2022
; : 633-639, 2022.
Article
in English
| Scopus | ID: covidwho-2293293
ABSTRACT
In the current environment where COVID-19 is serious, the space, place and resources required for teaching nuclear power plants are restricted to a great extent. To solve such problems and improve the utilization of education resources, this study improved an accident simulator for nuclear power plants based on the concept of cloud technology. We build the Browser / Server architecture so that the platform has successfully implemented multiterminal, multiplatform and multiuser simultaneous applications. Through the simulation results of the Small Break Loss of Coolant Accident (SBLOCA) and the test results of platform performance by PCTran-Cloud, the correctness of PCTran-Cloud in the accident simulation function and results were verified. In general, PCTran-Cloud has the characteristics of high scalability, high concurrency and high security. The platform can provide an environment for the training and education of nuclear power professionals. © 2022 IEEE.
B/S architecture; Cloud technology; Training simulator; Computer architecture; Loss of coolant accidents; Nuclear energy; Nuclear fuels; Simulation platform; 'current; Browser/server architectures; Cloud technologies; Education resource; Multi terminals; Multi-platform; Multiusers; Small break loss of coolant accidents; Nuclear power plants
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
4th International Conference on Artificial Intelligence and Advanced Manufacturing, AIAM 2022
Year:
2022
Document Type:
Article
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