摘要
核反应堆数字孪生的发展有望通过信息物理融合的实现提高核电厂的安全性与经济性,而数据融合问题是信息物理融合的核心问题。因此本文面向核反应堆数字孪生领域,从数据融合的定义、融合对象、融合层次、融合方法以及数字孪生与数据融合的关系着手,进而从核反应堆数字孪生模型的构建、核反应堆设计与建造中的优化问题、核反应堆运行参数的反演与重构、核反应堆运行参数与剩余寿命的预测、核反应堆运行参数校准、核反应堆运行的反馈与控制、核反应堆的故障检测、识别与诊断以及核反应堆数字孪生其他方面的数据融合八个方面探讨了数据融合方法在核反应堆数字孪生的全生命周期中的应用与研究,从数据方面与融合方法方面指出当前研究存在的挑战,为未来核反应堆数字孪生发展过程中解决数据融合关键问题提供参考。
The development of digital twin of nuclear reactor has the potential to enhance the safety and economic efficiency of nuclear power plants by achieving a cyber-physical fusion,while the key challenge of cyber-physical fusion is data fusion.Therefore,this paper focuses on the field of digital twin of nuclear reactor,starting from the definition of data fusion,fusion objects,fusion levels,fusion methods,and the relationship between digital twins and data fusion.Subsequently,the application and research status of data fusion methods in the entire life cycle of digital twin in nuclear reactor are discussed from eight perspectives:the construction of digital twin model of nuclear reactor,the optimization issues in the design and construction of nuclear reactor,the inversion and reconstruction of nuclear reactor operating parameters,the prediction of nuclear reactor operating parameters and remaining service life,the calibration of nuclear reactor operating parameters,the feedback and control of nuclear reactor operation,the fault detection,identification and diagnosis of nuclear reactor,and the data fusion of other aspects of digital twin of nuclear reactor.In conclusion,the challenges existing in current research has been identified from the aspects of data and fusion methods,providing references for addressing key data fusion issues in the future development of digital twin for nuclear reactor.
作者
宋美琪
陈富坤
刘晓晶
Song Meiqi;Chen Fukun;Liu Xiaojing(College of Smart Energy,Shanghai Jiao Tong University,Shanghai,200240,China;Shanghai Digital Nuclear Reactor Technology Integration Innovation Center,Shanghai,200240,China;School of Nuclear Science and Engineering,Shanghai Jiao Tong University,Shanghai,200240,China)
出处
《核动力工程》
北大核心
2025年第2期14-37,I0003,共25页
Nuclear Power Engineering
基金
国家自然科学基金资助项目(12427811)
中核集团领创科研项目(CNNC-LCKY-2024-044)。
关键词
数字孪生
核反应堆
数据融合
数据同化
人工智能
Digital twin
Nuclear reactor
Data fusion
Data assimilation
Artificial intelligence
