A Study on SE Methodology for Design of Big Data Pilot Platform to Improve Nuclear Power Plant Safety

A big data concept is expected to have a large impact on the safety of the nuclear power plant (NPP) from the beginning of the big data era. Though there are high interests on the NPP safety with the big data, almost no studies on the logical and physical structures and the systematic design methods of the big data platform for the NPP safety have been conducted. For the current study, a new big data pilot platform for the NPP safety is designed with the main focus on the health monitoring and early warning systems, and a tailored design process based on the systems engineering approaches is proposed to manage inherent high complexity of the platform design. The big data concept is expected to have a large impact on the safety of the NPP. So, in this study, the big data pilot platform for the health monitoring and early warning of the NPP is designed. For this, the development process based on the SE approach for the pilot platform is proposed and the design results along with the proposed process are also presented. Implementation of the individual modules and integrations of those are in currently progress