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硫化氢气体模型海量时空数据的处理与可视化 被引量:1

Spatio-temporal Processing and Visualization of Massive Data of H_2S Gas Diffusion Mode
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摘要 鉴于在利用三维地形环境分析硫化氢气体沿地形扩散趋势时,需解决该气体扩散模型在三维环境中的时空可视化问题,该文针对气体扩散模型数据体的数据结构、硫化氢气体浓度值的时空有效性等特点,首先对气体扩散模型建立八叉树索引以压缩数据,提高对海量模型数据体的访问效率,其次,通过抽取模型下底面有效数据以及时空切片的方式,实现气体模型海量时空数据的可视化。该文研究成果可用于复杂山地高含硫气田开发的事故分析。 Numerical simulation model of H2S gas diffusion is used to analyse affected range of toxic gas,which is released in the well-blowout accidents during the exploration of high-sulfur oilfield in the complex mountain regions.It is necessary to integrate the model with 3D environmental emergency system in order to learn diffusion trend of the toxic gas along the terrain.To solve technical difficulties in system integration,this paper firstly analyses the features of dataset of the gas model,such as data structure,distribution of effective concentration value with time and space.In this research octree compression is used to improve the efficiency of data access.At the same time,the ground data of gas diffusion model is extracted and cut into temporal and spatial chips in order to display its four-dimensional characteristics.
出处 《遥感信息》 CSCD 北大核心 2015年第5期132-136,共5页 Remote Sensing Information
关键词 硫化氢气体扩散模型 海量时空数据处理与可视化 三维环境应急系统 数据压缩 时空切片 model of H2S gas diffusion spatio-temporal processing and visualization of massive model dataset 3D environmental emergency system data compression temporal and spatial chips
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