Undergraduate

This project aims to develop and implement a state-of-the-art intelligent control system to the improve the efficiency and the utilization of the NBSR secondary coolant system. This comprehensive project encompasses the design, development, and deployment of a predictive control system that integrates with the NBSR infrastructure.  The scope includes the implementation of real-time data collection from NBSR sensors. Leveraging the Microsoft Azure ecosystem, the project will develop machine learning models for predictive analytics, a digital twin for simulation and testing, an LLM for decision support and natural language interactions. The scope also covers the creation of multi-objective optimization algorithms and adaptive control strategies to optimize cooling tower configurations and overall system efficiency. Furthermore, the scope extends to the development of a human-machine interface, allowing operators to interact with the MOIRAI using natural language queries and providing real-time visualizations and predictive analytics.