基于智能的配电网电力大数据三维场景可视化分析

配电网电力大数据的三维场景重构是实现数据优化挖掘的关键,提出基于人工智能的配电网电力大数据三维场景可视化分析方法。建立配电网电力大数据三维场景的网格分布结构模型,并进行配电网电力大数据三维场景实时数据监测,根据监测结果进行配电网电力大数据的统计特征分析,对配电网电力大数据三维场景实时数据采用信息融合和模糊层析性分析方法进行信息融合和自适应调度,提取配电网电力大数据的三维可视化分布特征量,采用视觉特征重构技术,实现对配电网电力大数据三维场景可视化重构,在人工智能算法控制下提高电力大数据三维场景可视化重构的精度。仿真结果表明,采用该方法进行配电网电力大数据三维场景可视化重构的精度较高,提高了配电网电力大数据挖掘的效能。

Visualization analysis of power big data 3D scene in distribution network based on intelligence

The 3 D scene reconstruction of distribution network power big data is the key to realize data optimization mining.A visualization analysis method of distribution network power big data 3 D scene based on artificial intelligence is proposed.The grid distribution structure model of distribution network power big data 3D scene is established,and the real-time data monitoring of distribution network power big data 3D scene is carried out.According to the monitoring results,the statistical characteristics of distribution network power big data are analyzed.For the real-time data of distribution network power big data 3D scene,information fusion and fuzzy chromatography analysis are used for information fusion and adaptive dispatching,and the 3 D visual distribution features of distribution network power big data are extracted.The visual feature reconstruction technology is used to realize the visual reconstruction of power big data 3D scene in distribution network,and the accuracy of 3D scene visualization reconstruction of power big data is improved under the control of artificial intelligence algorithm.The simulation results show that the method has high accuracy in 3D scene visualization and reconstruction of distribution network power big data,and improves the efficiency of big data mining in distribution network power.