Digital Twin Based Operation Support System of Nuclear Power Plant

Abstract

This paper presents an operational support framework for the nuclear power plant based on digital twin. Aiming at the reactor primary loop system and chemical and volume control system, high-precision models for operation state analysis and prediction are established, and the functions of online condition monitoring, fault detection, and diagnosis of the nuclear power plant are realized by artificial intelligence method. a simple and efficient visual interface is developed to effectively reduce the workload, mental stress, and human error probability of operators. The method proposed in this paper provides a theoretical and technical basis for improving the efficiency of operation, maintenance, and the ability of accident emergency response, which finally enhances the intelligence and safety of nuclear power plants.