跨地域协同核电工业大数据关键技术研究  

Research on Key Technologies of Cross Regional Collaborative Big Data in Nuclear Power Industry

作　　者：程敏敏 景应刚 徐奎 齐克林 伍吉泽 任增朋 李敏 Cheng Minmin;Jing Yinggang;Xu Kui;Qi Kelin;Wu Jize;Ren Zengpeng;Li Min(China Nuclear Power Operation Technology Co.,Ltd.,Wuhan,430223,China;CNNP Nuclear Power Operations Management Co.,Ltd.,Jiaxing,Zhejiang,314300,China;China National Nuclear Power Co.,Ltd.,Beijing,100097,China)

机构地区：[1]中核武汉核电运行技术股份有限公司,武汉430223 [2]中核核电运行管理有限公司,浙江嘉兴314300 [3]中国核能电力股份有限公司,北京100097

出　　处：《核动力工程》2024年第S01期19-25,共7页Nuclear Power Engineering

摘　　要：由于核电生产环节众多、组织机构与流程复杂,应建立核电集团级统一工业大数据平台,以消除数据孤岛、整合海量数据资源和提升数据使用效率。本研究采用了适配核电工业协议的多源异构数据接入框架,对跨地域的核电工业数据进行了汇聚,并针对核电工业数据特点,定义了核电工业数据编码及存储标准,实现了海量数据的高效存储。以元数据管理为基础,协同数据抽取、数据处理加工、数据存储、数据调度、质量稽核、数据服务等环节,对端到端的、闭环的数据治理管控机制进行了研究,并用此方法对核电数据进行治理和资产开放,实现核电数据全生命周期的管理。以中国核电数据中心和六大核电基地为代表进行大数据平台建设与工程实践,形成了集团数据中心与边缘侧的数据共享与协同通道;汇聚与处理了中国核电生产与管理数据,形成了数据标准,并实现了数据的有效整合和处理。因此,本研究建立的核电工业大数据平台和数据处理方法,能够为核电数字化提供支撑,有广泛的应用前景,可以为构建核电数据生态提供技术参考。Due to the numerous production links,complex organizational structures and processes in nuclear power,a unified industrial big data platform at the nuclear power group level should be established to eliminate data silos,integrate massive data resources,and improve data utilization efficiency.In this study,a multi-source heterogeneous data access framework adapted to the nuclear power industry protocol is adopted to aggregate the cross-regional nuclear power industry data.According to the characteristics of nuclear power industry data,the coding and storage standards of nuclear power industry data are defined,and the efficient storage of massive data is realized.Based on metadata management,data extraction,data processing,data storage,data scheduling,quality audit,data service and other links are coordinated,and an end-to-end and closed-loop data governance and control mechanism is studied.This method was used to govern nuclear power data and open up assets,achieving full lifecycle management of nuclear power data.Represented by China Nuclear Power Data Center and six major nuclear power bases,the construction and engineering practice of big data platforms have formed a data sharing and collaboration channel between the group's data center and the edge side;We have gathered and processed data on China's nuclear power production and management,established data standards,and achieved effective integration and processing of data.Therefore,the nuclear power industry big data platform and data processing methods established in this study can provide support for the digitalization of nuclear power,have broad application prospects,and provide technical references for building a nuclear power data ecosystem.

关 键 词：核电工业 大数据 跨地域 数据治理 协同 

分 类 号：TP39[自动化与计算机技术—计算机应用技术] TL361[自动化与计算机技术—计算机科学与技术]