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Title: METHOD AND APPLICATION OF DATA INTEGRATION AT A NUCLEAR POWER PLANT

Abstract

The data of a nuclear power plant (NPP) is stored in silos for the various plant tools. A previous study conducted by the LWRS program identified the different data sources that can benefit online monitoring in an NPP. These data have different structures and tools and are therefore used independently. Integrating data from various sources can result in multiple benefits to online monitoring by enhancing the ability to compare data, reduce statistical uncertainty due to a larger data set, increase data heterogeneity in space and time to reveal confounded information, develop intelligent methods, and share data. Data integration can result in direct cost saving by reducing the amount of effort needed to find needed information. It can also enable establishing a data warehouse, the backbone repository of data for an NPP, and is necessary to evolve NPPs to a holistic online monitoring approach and automate labor-intensive activities. Whether within an NPP or for a fleet of NPPs, deploying a data warehouse in a plant or data broker for a fleet of plants requires overcoming multiple challenges, including the lack of a standard form of storing and using data and the lack of integration methods to compare and map the differentmore » data sources. This effort demonstrates two methods and applications for data integration through an application integration pilot and a data fusion pilot. The application integration is targeted towards the software interfacing of data and data management. This approach is commonly used by data integrators. The data fusion pilot is targeted towards intelligently mapping or coupling data for optimized data use. The pilots were performed in collaboration with two NPPs.« less

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1];  [2]
  1. Idaho National Laboratory
  2. Knowledge Ray Inc.
Publication Date:
Research Org.:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE)
OSTI Identifier:
1546737
Report Number(s):
INL/EXT-19-54294-Rev000
DOE Contract Number:  
AC07-05ID14517
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
11 - NUCLEAR FUEL CYCLE AND FUEL MATERIALS; nuclear power plant

Citation Formats

Al Rashdan, Ahmad Y, Krome, Cameron J, St Germain, Shawn W, and Rosenlof, John. METHOD AND APPLICATION OF DATA INTEGRATION AT A NUCLEAR POWER PLANT. United States: N. p., 2019. Web. doi:10.2172/1546737.
Al Rashdan, Ahmad Y, Krome, Cameron J, St Germain, Shawn W, & Rosenlof, John. METHOD AND APPLICATION OF DATA INTEGRATION AT A NUCLEAR POWER PLANT. United States. doi:10.2172/1546737.
Al Rashdan, Ahmad Y, Krome, Cameron J, St Germain, Shawn W, and Rosenlof, John. Thu . "METHOD AND APPLICATION OF DATA INTEGRATION AT A NUCLEAR POWER PLANT". United States. doi:10.2172/1546737. https://www.osti.gov/servlets/purl/1546737.
@article{osti_1546737,
title = {METHOD AND APPLICATION OF DATA INTEGRATION AT A NUCLEAR POWER PLANT},
author = {Al Rashdan, Ahmad Y and Krome, Cameron J and St Germain, Shawn W and Rosenlof, John},
abstractNote = {The data of a nuclear power plant (NPP) is stored in silos for the various plant tools. A previous study conducted by the LWRS program identified the different data sources that can benefit online monitoring in an NPP. These data have different structures and tools and are therefore used independently. Integrating data from various sources can result in multiple benefits to online monitoring by enhancing the ability to compare data, reduce statistical uncertainty due to a larger data set, increase data heterogeneity in space and time to reveal confounded information, develop intelligent methods, and share data. Data integration can result in direct cost saving by reducing the amount of effort needed to find needed information. It can also enable establishing a data warehouse, the backbone repository of data for an NPP, and is necessary to evolve NPPs to a holistic online monitoring approach and automate labor-intensive activities. Whether within an NPP or for a fleet of NPPs, deploying a data warehouse in a plant or data broker for a fleet of plants requires overcoming multiple challenges, including the lack of a standard form of storing and using data and the lack of integration methods to compare and map the different data sources. This effort demonstrates two methods and applications for data integration through an application integration pilot and a data fusion pilot. The application integration is targeted towards the software interfacing of data and data management. This approach is commonly used by data integrators. The data fusion pilot is targeted towards intelligently mapping or coupling data for optimized data use. The pilots were performed in collaboration with two NPPs.},
doi = {10.2172/1546737},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {6}
}

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