核电人工智能应用：现状、挑战和机遇

张恒; 吕雪; 刘东; 王国胤; 杭芹; 沙睿; 郭宾

doi:10.13832/j.jnpe.2023.01.0001

核电人工智能应用：现状、挑战和机遇

doi: 10.13832/j.jnpe.2023.01.0001

张恒^1,,
吕雪¹,
刘东²,
王国胤¹,
杭芹¹,
沙睿³,
郭宾⁴

1.
重庆邮电大学计算智能重庆市重点实验室，重庆，400065
2.
中国核动力研究设计院核反应堆系统设计技术重点实验室，成都，610213
3.
中国核能行业协会，北京，100048
4.
杭州木链物联网科技有限公司，杭州，311100

基金项目: 国家自然科学基金（12005030）；重庆市自然科学基金（cstc2019jcyj-cxttX0002，cstc2021ycjh-bgzxm0013）；在渝本科高校与中国科学院所属院所合作项目（HZ2021008）；教育部哲学社会科学研究重大课题攻关项目（20JZD026）

详细信息

作者简介:
张　恒（1988—），男，副教授，现主要从事核电数字化研究，E-mail: zhangheng@cqupt.edu.cn

中图分类号: TL334
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- 被引次数: 0
出版历程
- 收稿日期: 2022-08-16
- 修回日期: 2022-10-16
- 刊出日期: 2023-02-15

Nuclear Power AI Applications: Status, Challenges and Opportunities

1.
Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China
2.
Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu, 610213, China
3.
China Nuclear Energy Association, Beijing, 100048, China
4.
Hangzhou Bolean IoT Tech Co., Ltd., Hangzhou, 311100, China

摘要

摘要: 近年来，人工智能技术被广泛应用于核电领域，以促进核电厂通过实现自诊断、自寻优、自适应，最终达到提高生产效率、降低运行成本、提高运行安全性的目的。本文介绍了在核电领域经常使用的人工智能技术，总结了其在智慧矿山、智能设计、智能制造和智能运维4个核工业典型应用场景中的研究现状，最后，从数据样本、网络安全、深度学习的解释性3个方面分析了人工智能技术在核电领域应用的挑战和发展趋势。
- 核电人工智能应用 /
- 可信人工智能 /
- 可解释深度学习 /
- 核安全
Abstract: 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.
- Nuclear power AI applications /
- Trustworthy AI /
- Explainable deep learning /
- Nuclear safety

HTML全文

表 1 现有可信人工智能相关战略

Table 1. Existing Trustworthy AI-related Strategies

国家	相关战略文件
美国	《促进政府使用可信人工智能》行政命令，促进公众接受并信任政府在决策中使用人工智能技术；《迈向识别和管理人工智能偏见的标准》对人工智能偏见问题进行分析，为人工智能风险管理框架提供指导
中国	《国家新一代人工智能标准体系建设指南》给出安全与隐私保护及伦理相关标准；《促进可信人工智能发展倡议》提出践行科技向善、发展以人为本的可信人工智能
欧盟成员国	《人工智能白皮书》提出人工智能“可信生态系统”；《可信人工智能伦理指南草案》提出可信人工智能框架；《可信赖人工智能道德准则》提出实现可信赖人工智能全生命周期的框架；《可信人工智能的政策和投资建议》提出33项具体建议，将可信人工智能变为提高个人和社会福祉的手段

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