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一种电力大数据三维可视化管理方法研究
引用本文:张子谦,张艳燕,陈俣,赵希超.一种电力大数据三维可视化管理方法研究[J].中州煤炭,2018,0(3):148-153.
作者姓名:张子谦  张艳燕  陈俣  赵希超
作者单位:(南京南瑞信息通信科技有限公司,江苏 南京 210003)
摘    要:针对二维图表的数据表现方式不能适用于电力大数据的分析与展现,提出一种三维可视化的电力大数据管理模型。该模型将大数据挖掘与三维可视化技术有机集成,采用并行BP神经网络技术实现电力大数据的高效挖掘,利用基于属性约简的三维渲染算法提高电力三维场景绘制的实时性。通过试验表明,该数据可视化管理方法实现了电力大数据的高效挖掘和三维模型的实时渲染。

关 键 词:电力大数据  三维可视化  数据挖掘  BP神经网络  三维场景渲染

 Study on a method of 3D visualization management of large power data
Zhang Ziqian,Zhang Yanyan,Chen Yu,Zhao Xichao. Study on a method of 3D visualization management of large power data[J].Zhongzhou Coal,2018,0(3):148-153.
Authors:Zhang Ziqian  Zhang Yanyan  Chen Yu  Zhao Xichao
Affiliation:(NARI Group Corporation(State Grid Electric Power Research Institute),Nanjing 210003,China)
Abstract:Because the data representation based on two-dimensional graph can not be applied to the analysis and display of large power data,this paper proposed a large power data management model based on 3D visualization.The model of data mining and visualization technology of organic integration,to achieve the efficient mining of the power of big data parallel BP neural network technology,the use of power to improved the real-time 3D scene rendering 3D rendering algorithm based on attribute reduction.The experiment showed that the method of data visualization management realizes the efficient mining of large power data and real-time rendering of 3D model.
Keywords:,power big data, 3D visualization, data mining, BP neural network, 3D scene rendering
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