核电人工智能应用:现状、挑战和机遇

Nuclear Power AI Applications:Status,Challenges and Opportunities

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。

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.