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投稿时间:2018-06-09 修订日期:2018-07-16
投稿时间:2018-06-09 修订日期:2018-07-16
中文摘要: 本文对核电企业建设大数据平台的背景、建设目标以及预期收益进行分析,阐述了大数据平台架构设计需要遵循的前瞻性、可扩展、开放性、高性能、稳定性、安全性、易维护、实用性、高可用、统一管理等原则。以面向开放为架构设计准则,采用分层架构,详细分析了数据产生层、数据交换层、数据计算层、数据存储层、数据服务层、数据应用层等各个层次所起到的作用以及各个层次所使用到的具体技术方案。文章以基于大数据与机器学习的信函智能分发功能以及基于实时计算的阀门缺陷分类统计这两个案例为例,阐述了大数据技术平台在核电企业实际业务中的应用场景,介绍了各自的详细技术架构和应用效果,说明了大数据技术平台的应用对核电企业所带来的变化与业务收益。
Abstract:This paper analyzes the background, construction goals, and expected benefits of big data platform of the nuclear power enterprise''s construction, and expounds the forward-looking, scalable, open, high performance, stability, security, and easy maintenance, practicality, high availability, unified management and other principles that architecture design must follow.With the open-architecture-oriented design guidelines and the layered architecture, which provide detailed analysis of the roles and levels of the data generation layer, data exchange layer, data computing layer, data storage layer, data service layer, and data application layer. The specific technical solution used. The article uses the intelligent distribution function of letters based on big data and machine learning, and the classification and statistics of valve defects based on real-time calculation. These two cases are examples, illustrating the application scenarios of big data technology platform in the actual business of nuclear power enterprises. The detailed technical framework and application effects are introduced, and the changes and business benefits brought by the application of big data technology platform to nuclear power enterprises are explained.
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作者 | 单位 | |
徐霞军 | 江苏核电有限公司 | xuxj@jnpc.com.cn |
杨强* | 江苏核电有限公司 | yangqiang@cnnp.com.cn |
Author Name | Affiliation | |
Xu Xiajun | Jiangsu Nuclear Power Co.,Ltd.,Lianyungang,222042 | xuxj@jnpc.com.cn |
Yang Qiang | Jiangsu Nuclear Power Co.,Ltd.,Lianyungang,222042 | yangqiang@cnnp.com.cn |
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