Industrial Internet-of-Things & Data Analytics for Nuclear Power & Safeguards
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Univ. of California, Berkeley, CA (United States)
Data analytics applied to nuclear power operations and nuclear safeguards is in a nascent state, yet some significant initial efforts are being undertaken by industry and academia. This report highlights our findings as to the current state-of-the-art of such efforts, in particular considering the Industrial Internet-of-Things aspect of this work, as well as an investigation into the utility of machine learning tools being developed for other industries. Blockchain applications were also studied. A consideration was undertaken into how to apply data analytics and machine learning to nuclear power and safeguards within the realm of Probabilistic Risk Assessments (PRAs), predictive maintenance & edge analytics, and proprietary data sharing.
- Research Organization:
- Sandia National Laboratories (SNL-CA), Livermore, CA (United States); Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation
- DOE Contract Number:
- AC04-94AL85000; NA0003525
- OSTI ID:
- 1481947
- Report Number(s):
- SAND--2018-12807; 669746
- Country of Publication:
- United States
- Language:
- English
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