多尺度泥石流灾害Web数据模拟与三维可视化
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摘要
由于缺乏相应的多尺度表达与索引机制,灾害模拟数据的三维动态可视化存在难以实时进行、渲染效果差、模式单一等问题。鉴于此,将泥石流灾害模拟数据与虚拟地形环境相结合,重点研究了泥石流灾害模拟数据实时在线发布与多尺度三维动态可视化方法。设计了网络服务总体框架体系,并重点探讨了多尺度数据组织、索引、动态表达等关键技术;选取案例区域研发原型系统,并开展了分析实验。结果表明,该方法能满足泥石流灾害在线实时三维动态可视化要求,也可根据用户对精度和流畅性的偏好与需求,选择相应尺度进行可视化表达。
Due to the lack of corresponding multi-scale expression and index mechanism, there are some problems such as carrying out real-time difficultly, rendering poor and single mode in disaster simulation data 3D dynamic visualization. In view of this, we combined the simulation data of debris flow with the virtual terrain environment, and researched focuses on the real-time online release of debris flow disaster simulation data and the multi-scale 3D dynamic visualization method in this paper. First of all, we designed the overall framework of network services. And then, we discussed key technologies of multi-scale data organization, index and dynamic expression. Finally, we selected a case area to develop prototype system, and carried out analysis experiment. The result shows that this method can meet the requirement of real-time 3D dynamic visualization of debris flow. According to the user demand for accuracy and fluency, this method can choose the appropriate scale to do visual expression.
Due to the lack of corresponding multi-scale expression and index mechanism, there are some problems such as carrying out real-time difficultly, rendering poor and single mode in disaster simulation data 3D dynamic visualization. In view of this, we combined the simulation data of debris flow with the virtual terrain environment, and researched focuses on the real-time online release of debris flow disaster simulation data and the multi-scale 3D dynamic visualization method in this paper. First of all, we designed the overall framework of network services. And then, we discussed key technologies of multi-scale data organization, index and dynamic expression. Finally, we selected a case area to develop prototype system, and carried out analysis experiment. The result shows that this method can meet the requirement of real-time 3D dynamic visualization of debris flow. According to the user demand for accuracy and fluency, this method can choose the appropriate scale to do visual expression.
引文
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[16]廖明,潘媛芳.基于JSON的矢量Web地图要素符号表达与解析[J].电子技术与软件工程,2015(24):102-103
[17]杨敏,艾廷华,卢威,等.自发地理信息兴趣点数据在线综合与多尺度可视化方法[J].测绘学报,2015,44(2):228-234
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[20]ZHU J,ZHANG H,YANG X F,et al.A Collaborative Virtual Geographic Environment for Emergency Dambreak Simulation and Risk Analysis[J].Journal of Spatial Science,2015,61(1):133-155
[2]费祥俊,舒安平.泥石流运动机理与灾害防治[M].北京:清华大学出版社,2004
[3]牛艺博.基于WebGL的地理信息三维可视化技术研究[D].兰州:兰州交通大学,2015
[4]郑利平,陈斌,王文平,等.基于分布式渲染架构的远程可视化研究[J].计算机研究与发展,2012,49(7):1 438-1 449
[5]ZHU J,YIN L Z,WANG J H,et al.Dam-break Flood Routing Simulation and Scale Effect Analysis Based on Virtual Geographic Environment[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2015,8(1):105-113
[6]YIN L Z,ZHU J,ZHANG X,et al.Visual Analysis and Simulation of Dam-break Flood Spatiotemporal Process in a Network Environment[J].Journal of Geo-information Science,2015,74(10):7 133-7 146
[7]叶健,陶和平,陈锦雄,等.面向山地灾害动态过程仿真的地形三维建模与可视化[J].山地学报,2012,30(2):195-200
[8]杜莹.全球多分辨率虚拟地形环境关键技术的研究[D].郑州:信息工程大学,2005
[9]黄世秀,高飞,朱大勇,等.矿山三维地质模型及数字化仿真[J].测绘科学,2015,40(6):77-80
[10]尹灵芝,朱军,王金宏,等.GPU-CA模型下的溃坝洪水演进实时模拟与分析[J].武汉大学学报(信息科学版),2015,40(8):1 123-1 129
[11]王德生.基于HTML5和Web GL的3D WebGIS构建与实现[J].福建电脑,2013,29(11):121-122
[12]黄冬梅,赵明,何盛琪,等.基于Web服务的海量风暴潮灾害数据实时可视化研究[J].海洋环境科学,2011,30(5):618-621
[13]朱军,尹灵芝,曹振宇,等.时空过程网络可视化模拟与分析服务:以溃坝洪水为例[J].地球信息科学学报,2015,17(2):215-221
[14]周亚男,赵威,范亚男.遥感大数据实时渲染与交互可视化研究[J].地球信息科学学报,2016,18(5):664-672
[15]吕智涵,马瑞娜,房经宝,等.WebGIS中多维空间数据多尺度表达索引结构[J].计算机应用研究,2010,27(9):3 395-3 398
[16]廖明,潘媛芳.基于JSON的矢量Web地图要素符号表达与解析[J].电子技术与软件工程,2015(24):102-103
[17]杨敏,艾廷华,卢威,等.自发地理信息兴趣点数据在线综合与多尺度可视化方法[J].测绘学报,2015,44(2):228-234
[18]Pimentel V,Nickerson B G.Web Display of Real-time Wind Sensor Data[R].Report TR11-214,New Brunswick:Faculty of Computer Science,University of New Bruns-wick,2011
[19]LI Y,GONG J H,Zhu J,et al.Spatiotemporal Simulation and Risk Analysis of Dam-break Flooding Based on Cellular Automata[J].International Journal of Geographical Information Science,2013,27(10):2 043-2 059
[20]ZHU J,ZHANG H,YANG X F,et al.A Collaborative Virtual Geographic Environment for Emergency Dambreak Simulation and Risk Analysis[J].Journal of Spatial Science,2015,61(1):133-155
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