| 江苏核电大数据可视化分析平台的建设与应用 |
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| 引用本文： | 杨强,秦绪涛,朱云飞,张钧鸣. 江苏核电大数据可视化分析平台的建设与应用[J]. 电力大数据, 2021, 24(1) |
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| 作者姓名： | 杨强 秦绪涛 朱云飞 张钧鸣 |
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| 作者单位： | 江苏核电有限公司,江苏连云港 222000 |
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| 摘 要： | 为解决大量数据无法快速进行可视化分析挖掘的问题,江苏核电基于开源技术进行定制化开发,按照层次化功能架构设计,对平台的数据层、逻辑层和展示层的功能进行开发,快速构建大数据可视化平台,有效解决对数据进行可视化分析的问题。文章从功能特点、建设要求、经济性等维度对大数据可视化产品和传统商务智能产品进行对比,阐述建设可视化分析平台的优点和必要性;梳理与建立基于平台的数据可视化分析的服务的管理流程和职责分工,平台成果应用于物资编码检查分析与可视化业务看板等方面,在支撑管理决策、提升管理水平、提高业务运营效率和改进优化业务四个方面体现了平台的价值。文章介绍的大数据可视化分析平台的建设思路和方法可有效提升数据分析的工作效率。
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| 关 键 词： | 大数据 可视化分析 数据分析 业务看板 数据源 |
Construction and application of Jiangsu nuclear power big data visualization analysis platform |
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| YANG Qiang,QIN Xutao,ZHU Yunfei,ZHANG Junming. Construction and application of Jiangsu nuclear power big data visualization analysis platform[J]. Power Systems and Big Data, 2021, 24(1) |
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| Authors: | YANG Qiang QIN Xutao ZHU Yunfei ZHANG Junming |
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| Affiliation: | (Jiangsu Nuclear Power Co.,Ltd.,Lianyungang 222000 Jiangsu,China) |
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| Abstract: | In order to solve the problem that a large amount of data cannot be quickly analyzed and mined by visualization,Jiangsu nuclear power carries out customized development based on open source technology.According to the hierarchical functional architecture design,the functions of the data layer,logic layer and display layer of the platform are developed,so as to quickly build a large data visualization platform and effectively solve the problem of data visualization analysis.The article compares big data visualization products and traditional business intelligence products from the dimensions of functional characteristics,construction requirements,economy,etc.,expounds the advantages and necessity of building a visualization analysis platform;sorts out and establishes the management process of platform-based data visualization analysis services and the division of responsibilities,the platform results are applied to material coding inspection analysis and visualized business kanban,etc.,it embodies the value of the platform in four aspects,such as supporting management decision-making,improving management level,improving operational efficiency and optimizing business.This article introduces the idea and method of building the data visualization,which can effectively improve the efficiency of data analysis. |
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| Keywords: | big data visual analysis data analysis business kanban data source |
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