Digital Twin Model and Platform Based on a Dual System for Control Rod Drive Mechanism Safety

The digital twin method is a foundational technology for the digitization and intelligence of complex nuclear power equipment, e.g. the control rod drive mechanism. There is an urgent need to develop digital twin modeling methods and application platforms tailored for the safety of complex technical systems. However, current digital twin modeling techniques struggle to meet the requirements for real-time fault monitoring and long-term predictive maintenance simultaneously. Therefore, a five-dimensional digital twin modeling architecture based on a dual system for safety, which combines an offline digital twin system for reliability and fatigue analysis with an online digital twin system for real-time fault monitoring, has been proposed in the current study. The control rod drive mechanism digital twin platform, developed in Isight, is designed to incorporate a dual system for both real-time monitoring and long-term predictive maintenance. A deviation of less than 5% is maintained between operational and experimental data, thus enhancing the reliability and performance of control rod drive mechanism system.