Development of Artificial Intelligence Model in the Field of Atomic Energy as a Tool of Support in Decision-making
Year: 2024
Type: article
Abstract: This article focuses on developing and applying an artificial intelligence (AI) model in the field of nuclear energy, emphasizing its importance as a decision-making support tool. The current state of AI in nuclear energy is discussed, with a special focus on the creation of a proprietary classification model. The article outlines the main stages of AI model development and its practical application for classifying events at nuclear power plants. It utilizes machine learning technology and natural language processing to develop the model. The significance and innovative approach of using AI in nuclear energy are emphasized, considering its potential in enhancing the efficiency of processes at nuclear power plants. Results demonstrate the high efficiency (accuracy) of the developed AI model during testing for event classification. The current era of digital transformation and rapid technological development highlights the increasing importance of AI as a tool in various sectors. Additionally, the article covers the international promotion of AI in nuclear energy, particularly by the International Atomic Energy Agency (IAEA) and the United States Nuclear Regulatory Commission (NRC). It details the efforts of these organizations in exploring the application of AI technology in nuclear technologies and regulatory activities, emphasizing safe AI use and developing strategic plans for AI applications. In conclusion, the article suggests the model's potential application in investigating nuclear power plant events, that can be used for classifying by categories, root causes, corrective actions etc. The article concludes that while AI is a modern technology finding application in various fields including nuclear energy, it cannot fully replace human involvement in the nuclear sector. However, AI combination with human input can improve the efficiency and safety of processes at nuclear power plants.
Authors: Maksym Dzerun, Iurii Ovdiienko
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405380754