Project 164: Application of Digital Twin Technology in Simulated Nuclear Reactor Monitoring

Contact Information:

Assoc. Prof. Helin Gong

Project Description and Objectives

This project focuses on employing digital twin technology for the monitoring of simulated nuclear reactors. The primary goal is to provide students with practical experience in creating and utilizing digital twins for real-time monitoring and predictive maintenance in nuclear engineering. This includes understanding the fundamentals of digital twin technology, data integration from simulated environments, and the application of predictive analytics for reactor performance and safety enhancement. The project aims to foster a deep understanding of how digital twins can revolutionize monitoring and maintenance practices in nuclear reactors.

Eligibility Requirements:

Students in Nuclear Engineering, Mechanical Engineering, Computer Science, or related fields.

Basic knowledge of nuclear reactor operations and safety.

Familiarity with computational modeling and simulation.

Programming skills, preferably in Python or similar languages.

Main Tasks:

Develop a basic digital twin model of a simulated nuclear reactor.

Integrate simulation data into the digital twin for real-time monitoring.

Implement predictive analytics for maintenance and safety purposes.

Analyze and evaluate the effectiveness of the digital twin model.

Document and present the project outcomes.

Website:

Lab: N/A

School: https://speit.sjtu.edu.cn/