DEVELOPMENT OF DATABASE STRUCTURES AND DATA EXCHANGE PRINCIPLES FOR NUCLEAR DECOMMISSIONING PLANNING

Author:

Daniška Dušan1,Vrban Branislav1,Nečas Vladimír1

Affiliation:

1. Institute of Nuclear and Physical Engineering , Faculty of Electrical Engineering, Slovak University of Technology in Bratislava, Bratislava, Slovak Republic

Abstract

Abstract The amount and variety of information used during the nuclear decommissioning project is enormous. If we consider that data and information coming from the whole operational phase of a nuclear power plant (NPP) is important for safe and efficient planning of such projects and waste treatment, packaging, storage and disposal use data coming from the dismantling operations, we can expect that nuclear decommissioning data are live and can be useful for decades. Taking into account a very broad variety of such data (e.g. but not only, their format, storage media, structure, meaning, relevancy, …) it is not a trivial task to develop a complex and reasonably structured database for storing all this information. This paper presents an overview of our research activities in the field of standardization in terms of the data structure and storage technologies and outlines the overall ‘single-source-of-truth’ architecture with centralized server and communication principles for storage and transfer of data used in nuclear decommissioning projects.

Funder

EURATOM Research & Training Programme ‘PLEIADES’

Scientific Grant Agency of the Ministry of Education of Slovak Republic

Slovak Research Development Agency

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health,Radiology, Nuclear Medicine and imaging,General Medicine,Radiation,Radiological and Ultrasound Technology

Reference9 articles.

1. Conceptual Nuclear Decommissioning Knowledge Management System Design

2. Integration of knowledge management system for the decommissioning of nuclear facilities;Iguchu;Mech. Eng. J.,2016

3. A full life cycle nuclear knowledge management framework based on digital system;Wang;Ann. Nucl. Energy,2017

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