摘要
当前水环境的不断恶化已成为我国环境保护的迫切问题。随着水监测数据的日益膨胀,利用科学可视化能有效地帮助认知和分析污染水流数据中的扩散特性和结构。然而,现有的流场可视化算法,仍然无法满足基于网络传播的大数据量水流的实时表达和交互分析的应用需求。利用螺旋线尺度不变性和渐变扩散的特点,提出了一种网络环境下的新的流场分层可视化系统方案。首先快速生成突出特征信息的整体流场表达图,然后在关键信息和参数调整下,定制生成进一步的可视化结果。实验表明,系统具有高效和灵活的渐进可视化机制,可满足网络环境下的矢量流场的实时表达需求,同时结合标量场的可视化技术,满足水污染可视化的应用需求。
The current deterioration of water has become an urgent issue of environmental protection in China.With the explosive growth of monitored data,using scientific visualization technique to express the diffuseness of flow will give the observers more convenient tool to understand them and help the researchers doing further analysis based on it.Though there are many techniques presented in the past decade,it is far from enough to research the way to express large-scale flow data and provide the interactive analysis efficiently through the internet.Based on the unchangeable scale and approaching diffuse of spiral line,a new method to visualize large flow data on the internet was proposed.This method localized the feature field of whole flow cursorily at first;then with the demand of users on the internet,further results was obltained based on the key information and changing parameters.Experiments show that the visualization system can give the users flexible and rapid way to observe the data on the internet,and combinated with of scalar field visualization technique,can meet the need of visul pollution in water applications.
出处
《计算机仿真》
CSCD
北大核心
2011年第4期242-245,249,共5页
Computer Simulation
