Lifecycle Data Management of Nuclear Power Plant: Framework System and Development Suggestions

Abstract

As the digital and intelligent transformation of the nuclear industry proceeds, nuclear power data is growing exponentially and has become an important asset of nuclear power plants. However, there is a lack of lifecycle data management system of nuclear power plants. This paper first summarizes the research status of nuclear power plant lifecycle data management in China, analyzes the demands for and challenges of nuclear power plant lifecycle data management, and constructs a data management framework regarding lifecycle nodes and business flows of nuclear power plants. The urgent tasks for establishing a nuclear power plant lifecycle data management system include: (1) promoting the comprehensive digitization of the nuclear power industry and unifying the nuclear power plant lifecycle data standards; (2) classifying the lifecycle data according to data types and reasonably designing the data models; and (3) scientifically formulating data quality control policies and data quality measurement standards to ensure the lifecycle data security of nuclear power plants. Furthermore, we suggest that (1) a data integration platform should be established to catalog the items, business data, and three-dimensional simulation data in the nuclear power plants to promote the interconnection of data across business systems; (2) blockchain technology should be applied to nuclear power plant lifecycle data management to ensure the authenticity and traceability of the data; (3) digital twins and model-based system engineering should be applied to the lifecycle data management of nuclear power plants to improve their intelligent development level; and (4) a green policy system should be established for nuclear power plant data management to realize the low-carbon, efficient, and sustainable development of data centers.

Keywords

• digital transformation, nuclear power plant, lifecycle, data management, framework system