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http://dx.doi.org/10.14248/JKOSSE.2015.11.2.013

A Study on the Application of SE Approach to the Design of Health Monitoring Pilot Platform utilizing Big Data in the Nuclear Power Plant (NPP)  

Cha, Jae-Min (Institute for Advanced Engineering (IAE))
Shin, Junguk (MND)
Son, Choong-Yeon (MND)
Hwang, Dong-Sik (Institute for Advanced Engineering (IAE))
Yeom, Choong Sub (Institute for Advanced Engineering (IAE))
Publication Information
Journal of the Korean Society of Systems Engineering / v.11, no.2, 2015 , pp. 13-29 More about this Journal
Abstract
With the era of big data, the big data has been expected to have a large impact in the NPP safety areas. Although high interests of the big data for the NPP safety, only a limited researches concerning this issue are revealed. Especially, researches on the logical/physical structure and systematic design methods for the big data platform for the NPP safety were not dealt with. In this research, we design a new big data pilot platform for the NPP safety especially focusing on health monitoring and early warning services. For this, we propose a tailored design process based on SE approaches to manage inherent high complexities of the platform design. The proposed design process is consist of several steps from elicitate stakeholders to integration test via define operational concept and scenarios, and system requirements, design a conceptual functional architecture, select alternative physical modules for the derived functions and assess the applicability of the alternative modules, design a conceptual physical architecture, implement and integrate the physical modules. From the design process, this paper covers until the conceptual physical architecture design. In the following paper, the rest of the design process and results of the field test will be shown.
Keywords
Nuclear Power Plant; Big Data; Early Warning; Platform; Systems Engineering;
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