Pognotis and Health Mnagement of Reactor Equipment Based on Cloud-Edge-Terminal Architecture

With the rapid development of cloud computing technology and the increasing intelligence of various reactor equipment in nuclear power plants, fault prediction and health management have become more and more important. Generally, traditional machine learning methods face the problem of difficulty in adequately handling massive data, which poses a serious challenge to health management. However, the Cloud-Edge-Terminal framework, which tightly integrates cloud computing, edge computing, and terminal devices for efficient data processing and business services, provides new ideas to solve the above. Firstly, this paper describes the importance of reactor equipment fault diagnosis, then reviews the development of fault diagnosis at various stages, then integrates the cloud-edge-end architecture into reactor critical equipment health management, and focuses on the technological approaches involved in reactor equipment prognostics and health management under this model, and finally discusses future research directions and development trends.