Humans With/As Big Data in Nuclear Energy

Open Access
Article
Conference Proceedings
Authors: Ronald BoringTorrey MortensonThomas UlrichRoger Lew
Abstract

Data are considered big when they contain significant variety, volume, and velocity in comparison with standard datasets. Big data are used by humans, but humans are also potential sources of big data. In nuclear power, much of the current research and application of big data principles focuses on instrumenting additional sensors or analyzing and visualizing the resulting data in useful ways. Gathering data on hardware enables enhanced diagnoses, planning, and prognoses, leading to greater efficiency through reduced maintenance costs and optimized power production. In this paper, we explore human interactions with big data, as well as potential ways that human performance data can inform nuclear power operations. This latter case considers humans as sources of big data.

Keywords: big data, nuclear power plant, operations

DOI: 10.54941/ahfe1002221

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