ID:
publications-3682
Type:
article
Year:
2021
Authors:
Mohanty, Subhasish and Mohanty, Subhasish and Elmer, Thomas W. and Elmer, Thomas W. and Bakhtiari, Sasan and Bakhtiari, Sasan and Vilim, Richard B. and Vilim, Richard B.
Title:
A Review of SQL vs NoSQL Database for Nuclear Reactor Digital Twin Applications: With Example MongoDB Based NoSQL Database for Digital Twin Model of a Pressurized-Water-Reactor Steam-Generator
Venue/Journal:
Volume 13: Safety Engineering, Risk, and Reliability Analysis; Research Posters
DOI:
10.1115/imece2021-73153
Research type:
Water System:
Technical Focus:
Abstract:
Abstract In this paper a summary of the differences between structured query language (SQL) based traditional relational database management systems (RDBMS) and recently popular NoSQL based database are presented. The importance of selecting a NoSQL database for the implementation of digital Twin (DT) framework for nuclear reactor predictive maintenance has been discussed. Example of commercially available MongoDB based NoSQL database implementation with storing data from various sources: such as from virtual time-series temperature measurements (based on finite element-based heat transfer models) at thousands of nodal locations and from real sensor measurements (from continuous online monitoring based active ultrasonic sensors and from non-continuous nondestructive testing (NDT) based eddy current measurements is demonstrated.
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