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Meeting Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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The U.S. Million Person Study of Low-Dose-Rate Health Effects
There is a critical knowledge gap regarding the health consequences of exposure to radiation received gradually over time. While there is a plethora of studies on the risks of adverse outcomes from both acute and high-dose exposures, including the landmark study of atomic bomb survivors, these are not characteristic of the chronic exposure to low-dose radiation encountered in occupational and public settings. In addition, smaller cohorts have limited numbers leading to reduced statistical power.
Ahmad Al-Rashdan, Shawn St. Germain, Vivek Agarwal, Ronald Boring, Thomas Ulrich, Nancy Lybeck, James Smith, Christopher Ritter, Vaibhav Yadav (INL)
Proceedings | Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technolgies (NPIC&HMIT 2019) | Orlando, FL, February 9-14, 2019 | Pages 850-857
Data-driven online monitoring of nuclear power plants aims to improve the economic viability of the plants by reducing the cost of operations and maintenance (O&M) activities. This can be accomplished by reducing the labor hours, frequency of activities, materials, and support activities needed. A technology roadmap to migrate plants from a manual inspection process to a data-driven online monitoring process is a systematic guideline to prioritize resource utilization and the amount and/or type of data collected, while taking advantage of improved analytical and visualization techniques to extract better insights from the data. This process maximizes the value of the migration to a data-driven approach, and tackles various change management challenges to the deployment of online monitoring methods. Without an end-state vision and migration plan, plants risk wasting resources by implementing multiple incremental system upgrades as each new technology or process is incorporated. This paper presents a summary of the migration process for each of six elements required to fully or partially automate manual processes in nuclear power plants. These elements are data collection, data management, data analytics, data visualization, value analysis, and change management.