Nuclear Power AI Applications: Status, Challenges and Opportunities

被引：0

作者：

Zhang H. ^{[1
]}

Lyu X. ^{[1
]}

Liu D. ^{[2
]}

Wang G. ^{[1
]}

Hang Q. ^{[1
]}

Sha R. ^{[3
]}

Guo B. ^{[4
]}

机构：

[1] Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing

[2] Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu

[3] China Nuclear Energy Association, Beijing

[4] Hangzhou Bolean IoT Tech Co., Ltd., Hangzhou

来源：

Hedongli Gongcheng/Nuclear Power Engineering | 2023年 / 44卷 / 01期

关键词：

Explainable deep learning; Nuclear power AI applications; Nuclear safety; Trustworthy AI;

D O I：

10.13832/j.jnpe.2023.01.0001

中图分类号：

学科分类号：

摘要：

In recent years, artificial intelligence (AI) technology has been widely used in the field of nuclear power to promote nuclear power plants to achieve the goal of improving production efficiency, reducing operating costs and improving operating safety through self diagnosis, self optimization and self adaptation. This paper introduces the AI technology often used in the nuclear power field, summarizes its research status in four typical application scenarios of the nuclear industry, namely, intelligent mine, intelligent design, intelligent manufacturing and intelligent operation and maintenance. Finally, it analyzes the challenges and development trends of the application of AI technology in the nuclear power field from three aspects: data samples, network security, and the explanatory nature of deep learning. © 2023 Yuan Zi Neng Chuban She. All rights reserved.

引用

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页数：7