摘要
As a high-tech strategic emerging comprehensive industry,the nuclear industry is committed to the research,production,and processing of nuclear fuel,as well as the development and utilization of nuclear energy.Nowadays,the nuclear industry has made remarkable progress in the application fields of nuclear weapons,nuclear power,nuclear medical treatment,radiation processing,and so on.With the development of artificial intelligence and the proposal of“Industry 4.0”,more and more artificial intelligence technologies are introduced into the nuclear industry chain to improve production efficiency,reduce operation cost,improve operation safety,and realize risk avoidance.Meanwhile,deep learning,as an important technology of artificial intelligence,has made amazing progress in theoretical and applied research in the nuclear industry,which vigorously promotes the development of informatization,digitization,and intelligence of the nuclear industry.In this paper,we first simply comb and analyze the intelligent demand scenarios in the whole industrial chain of the nuclear industry.Then,we discuss the data types involved in the nuclear industry chain.After that,we investigate the research status of deep learning in the application fields corresponding to different data types in the nuclear industry.Finally,we discuss the limitation and unique challenges of deep learning in the nuclear industry and the future direction of the intelligent nuclear industry.
基金
supported in part by the State Key Program of National Science Foundation(No.61836006)
the National Natural Science Fund for Distinguished Young Scholar(No.61625204)
the National Natural Science Foundation of China(Nos.62106161 and 61602328)
the Key Research and Development Project of Sichuan(No.2019YFG0494)
作者简介
Chenwei Tang,is with the College of Computer Science,Sichuan University,Chengdu 610065,China,received the PhD degree in computer science and technology from Sichuan University,Chengdu,China in 2020.She is currently a postdoctoral researcher at the College of Computer Science,Sichuan University,Chengdu,China.Her research focuses on the neural network methods for zero-shot learning,computer vision,and industrial intelligence,E-mail:tangchenwei@scu.edu.cn;Caiyang Yu,is with the College of Computer Science,Sichuan University,Chengdu 610065,China,received the MEng degree in computer architecture from Wenzhou University,Wenzhou,China in 2018.He is currently a PhD candidate at the College of Computer Science,Sichuan University,Chengdu,China.His research focuses on the neural network search and evolutionary computation,E-mail:yucy@stu.scu.edu.cn;Yi Gao,is with the College of Computer Science,Sichuan University,Chengdu 610065,China,received the BEng degree from Sichuan University,Chengdu,China in 2020.He is currently a master student at the College of Computer Science,Sichuan University,Chengdu,China.His research focuses on the edge detection and zero-shot learning,E-mail:gaoyi@stu.scu.edu.cn;Jianming Chen,is with the College of Computer Science,Sichuan University,Chengdu 610065,China,received the BEng degree in software engineering from Sichuan University,Chengdu,China in 2018.He is currently a master student at the College of Computer Science,Sichuan University,Chengdu,China.His research interests include deep learning,open set recognition,and signal processing,E-mail:chenjianming@stu.scu.edu.cn;Jiaming Yang,is with the College of Computer Science,Sichuan University,Chengdu 610065,China,received the BEng degree from Chengdu University of Information Technology,Chengdu,China in 2020.He is currently a master student at the College of Computer Science,Sichuan University,Chengdu,China.His research focuses on industrial intelligence and medical intelligence,E-mail:yangjiaming1@stu.scu.edu.cn;Jiuling Lang,is with the College of Computer Science,Sichuan University,Chengdu 610065,China,received the BEng degree in computer science and technology from Southwest Petroleum University,Chengdu,China in 2019.He is currently a master student at the College of Computer Science,Sichuan University,Chengdu,China.His research interests include neural architecture search and computer vision,E-mail:langjiulin@stu.scu.edu.cn;Chuan Liu,is with the College of Computer Science,Sichuan University,Chengdu 610065,China,received the BEng degree from Sichuan University,Chengdu,China in 2019.He is currently a master student at the College of Computer Science,Sichuan University,Chengdu,China.His research focuses on the computer vision,neural network architecture search,and neural network quantization,E-mail:chuanliu@stu.scu.edu.cn;Zhenan He,is with the College of Computer Science,Sichuan University,Chengdu 610065,China,received the PhD degree in electrical and computer engineering from Oklahoma State University,Stillwater,USA in 2014.Before that,he got the BEng degree in automation from the University of Science and Technology Beijing,China in 2008,and MEng degree from Oklahoma State University,Stillwater,USA in 2011.He is currently an associate professor at the College of Computer Science,Sichuan University,Chengdu,China.His research focuses on intelligent optimization and learning using evolutionary computation approaches,E-mail:zhenan@scu.edu.cn;To whom correspondence should be addressed:Jiancheng Lv,is with the College of Computer Science,Sichuan University,Chengdu 610065,China,received the PhD degree in computer science and engineering from the University of Electronic Science and Technology of China,Chengdu,China in 2006.He was a research fellow at the Department of Electrical and Computer Engineering,National University of Singapore,Singapore.He is currently a professor at the Data Intelligence and Computing Art Laboratory,College of Computer Science,Sichuan University,Chengdu,China.His research interests include neural networks,machine learning,and big data,E-mail:lvjiancheng@scu.edu.cn;Ling Zhong,is with the College of Computer Science,Sichuan University,Chengdu 610065,China,received the BS degree in Japanese from Sichuan International Studies University,Chongqing,China in 2011.She is currently a master student at the College of Computer Science,Sichuan University,Chengdu,China.Her main research interest is deep learning,E-mail:linda.zhong.abc@gmail.com.