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

Abstract

The amount of nuclear power plant data has grown exponentially and has become an important asset as a result of the digital and intelligent transformation of the nuclear industry. However, there is a lack of lifecycle data management systems for nuclear power plants. This paper summarizes the status of research on nuclear power plant lifecycle data management in China; analyzes the demands and challenges of nuclear power plant lifecycle data management; and constructs a data management framework around the lifecycle nodes and business flows of nuclear power plants. The major tasks in 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 lifecycle data according to data types and designing data models; and (3) formulating scientific data quality control policies and data quality measurement standards to ensure the security of the lifecycle data of nuclear power plants. Furthermore, the following recommendations are made. (1) A data integration platform should be established to catalog the items, business data, and three-dimensional simulation data of 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 in nuclear power plant lifecycle data management to improve the level of intelligent development. (4) A green policy should be established for nuclear power plant data management to realize the low-carbon, efficient, and sustainable development of data centers.

Dynamic assessment and system dynamics simulation of safety risk in whole life cycle of coal mine

“…In view of the problems of the whole life cycle safety technology risk, relevant scholars have carried out some studies. Ren applied blockchain technology to the management of the whole life cycle data of nuclear power plants, in order to realize the real traceability of the whole life cycle data of nuclear power plants (Ren et al 2022). Jiao based on bayesian network, deep neural network algorithm and internet of things technology, proposed the whole life cycle management mode of existing buildings, explored the key technologies of automated health monitoring platform based on internet of things, and helped the construction of smart towns (Jiao et al 2021).…”