面向三维可视化场景的电力大数据分析模型构建研究

Research on the Construction of Power Big Data Analysis Model Oriented to 3D Visualization Scene

针对电力大规模数据和空间场景特征,构建了基于电力大数据的三维可视化场景分析模型.通过对模型的层次化设计,实现同一平台下空间数据和场景的整合;针对模型大规模场景快速渲染问题,提出了一种可见性剔除算法来满足对模型物理层的遮挡剔除,并通过应用实例证明了该算法的准确度和有效性.研究结果表明:采用八叉树组织场景图结构和Halton序列法的快速渲染策略,尽管增加了单一数据的渲染时间,但整体减少了渲染管线数据量,从而提高了对电力大数据分析模型的快速渲染效率,同时保证了三维可视化场景模型节点的均衡性.

For the large-scale data and the characteristics of spatial scene of power,this paper constructs a three-dimensional visualization scene analysis model based on power big data.By the hierarchical design of the model,the inlegration of spatial data and scene on the same platform is realized.To solve the problem of fast rendering of large-scale scene,a visibility culling algorithm is proposed to satisfy the occlusion culling of the physical layer of the model.The aceuracy and effectiveness of the algorithm are proved by an application example.The results show that although application of the octree organization scene graph structure and the fast rendering strategy of Halton sequence method increases the rendering time of the single data,it decreases the overall amount of pipe line data,which improves the fast rendering eficiency of big power data analysis model and also guarantees the balance of the nodes in the three-dimensional visualization scene model.