基于加权随机采样的流场可视化方法  

Flow field visualization method based on weighted random sampling

作　　者：田东[1,2] 迟学斌 王铁强[3] 孙辰军 王珏 

机构地区：[1]中国科学院计算机网络信息中心,北京100190 [2]中国科学院大学,北京100190 [3]国家电网河北省电力公司,河北石家庄050022

出　　处：《计算机工程与设计》2018年第1期61-65,共5页Computer Engineering and Design

基　　金：国家863高技术研究发展计划基金项目(2015AA01A303);国家自然科学基金项目(91530324);国家电网公司科技基金项目(SGHE0000DKJS1600191、SGBJDK00DWJS1400040);中国科学院青年创新促进会基金项目(2015375)

摘　　要：在总结流场可视化方法的基础上,分析流场可视化的关键技术,提出一种基于加权随机采样的流场可视化方法。利用屏幕空间四叉树分割法定义屏幕横纵坐标的种子点选择概率模型,对种子点的随机选择进行加权引导,利用HTML5的Canvas特性实现流线的动态绘制,结合粒子系统实现流线的内存管理,整合一套有效的流场可视化方法。对比实验和三维GIS平台上的整合应用结果表明,该方法在有效展示整体流场的同时能够实现LOD方式的流场细节可视化展示。On the basis of summarizing the method of flow visualization,the key technologies of flow field visualization were analyzed,and a method of flow field visualization based on weighted random sampling was put forward.Screen space quad tree segmentation method was used to define the screen vertical and horizontal coordinates of the seed point selection probability model,for weighted random selection of the seed points,and dynamic streamline rendering was achieved using HTML5 Canvas characteristics,combined with the particle system streamlines of the memory management.A set of effective flow visualization method was integrated.The comparative experiments and 3D GIS platform integration application show that the proposed method can visualize the overall flow and the flow field's LOD details.

关 键 词：流场 可视化 四叉树 随机采样 粒子系统 画布 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]