数值核反应堆大数据及其应用  

Big data of numerical nuclear reactor and its application

作　　者：汪岸 任帅 苗雪 董玲玉 朱迎 陈丹丹 胡长军[1] WANG An;REN Shuai;MIAO Xue;DONG Lingyu;ZHU Ying;CHEN Dandan;HU Changjun(University of Science and Technology Beijing,Beijing 100083,China)

机构地区：[1]北京科技大学,北京100083

出　　处：《大数据》2021年第5期40-56,共17页Big Data Research

基　　金：国家自然科学基金资助项目(No.U1867217);国家重点研发计划资助项目(No.2017YFB0202303)。

摘　　要：数值核反应堆(数值堆)运行过程中涉及的海量数据可被用于优化现有数值堆模型、获取核能领域科学发现、推动数值堆研究。对现有的数据驱动建模和堆内微观现象预测的相关工作进行综述。在此基础上,结合领域特点提出了数值核反应堆大数据的概念,并分析了它作为工业大数据和模拟大数据的重要特征。以中国数值反应堆原型系统(CVR 1.0)为例,从数值堆大数据的多样性、关联性、非精确性等特征出发,运用神经网络、数理统计、数值分析等多学科的技术开展了建模优化和科学发现两个方向的研究工作,证明了数值核反应堆大数据特征对数值堆研究的指导作用。The massive amount of data involved in the operation of numerical nuclear reactor(numerical reactor)can be used to optimize existing numerical reactor models,obtain scientific discoveries in the field of nuclear energy,and promote numerical reactor research.Based on the review of the existing data-driven modeling and the prediction of microscopic phenomena in reactors,the concept of the big data of numerical nuclear reactor was put forward,and its important characteristics as industrial and simulation big data were analyzed according to the characteristics of the field of nuclear energy.Taking China virtual reactor 1.0(CVR 1.0)as an example,starting from the variety,dependency and inaccuracy of the big data of numerical nuclear reactor,the research work of modeling optimization and scientific discovery was carried out by using the multidisciplinary techniques such as neural network,mathematical statistics and numerical analysis,which illustrates the guiding role of the characteristics of the big data of numerical nuclear reactors in numerical reactor research.

关 键 词：数值核反应堆大数据 工业大数据 数值核反应堆 大数据挖掘 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]