系统仿真学报 ›› 2019, Vol. 31 ›› Issue (2): 294-299.doi: 10.16182/j.issn1004731x.joss.17DEA-011

• 论文 • 上一篇    下一篇

轻量级有毒气体扩散在线可视化仿真平台

贾金原1, 赵薪智2, 李盘靖2   

  1. 1. 同济大学软件学院,上海 201804;
    2. 山东理工大学计算机学院,山东 淄博255049
  • 收稿日期:2016-08-18 修回日期:2017-01-12 出版日期:2019-02-15 发布日期:2019-02-15
  • 作者简介:贾金原(1963-),男,山东乐陵,博士,教授,研究方向为Web Graphics、分布式虚拟现实;赵薪智(1992-),男,山东淄博,硕士,研究方向为数据可视化。
  • 基金资助:
    中央基本业务经费基金-重点领域交叉合作项(2100219066)

Visualization Platform of Lightweight Toxic Gases Dispersion

Jia Jinyuan1, Zhao Xinzhi2, Li Panjing2   

  1. 1. School of Software Engineering, Tongji University, Shanghai 201804, China;
    2. School of Computer Science, Shandong University of Technology, Zibo 255049, China
  • Received:2016-08-18 Revised:2017-01-12 Online:2019-02-15 Published:2019-02-15

摘要: 突发性事故会在短时间内排放大量有毒有害污染物,危害性极大,极其需要对其扩散做出快捷、准确、普适性应对。采用高斯烟团模型来对气体污染扩散进行模拟仿真,并对其进行了轻量化处理,使得其在Web3D的 Three.JS框架得以实现,用户们通过访问网页即可实时访问有毒气体扩散全部可视化过程,可以便捷地估计出有毒气体的污染扩散趋势,还可以进一步分析在不同影响条件下的气体污染扩散对周围环境的影响。借助于本平台,用户还可以对各种有毒气体扩散模型数据进行管理,并自主设置各种有毒气体扩散参数,极大地方便了用户对气体污染扩散平台的操控。

关键词: 轻量化, 高斯烟团, WebGL, 过程可视化, GIS

Abstract: The sudden accidents usually emit large quantities of toxic gases and harmful pollutants in a short time. It is very necessary and meaningful to predict and visualize the dispersing trend of those toxic gases over Internet as accurate and fast as possible for people to evacuate safely and immediately. We propose a lightweight simulation for air pollution dispersion based on the Gaussian puff model. With this method, we can visualize the procedure of toxic gas dispersing on a webpage in real-time. we can also estimate the pollution of toxic gas dispersion trend and analyze their further pollution effects on the surrounding environment under different air conditions. We implement our ideas with Three.JS framework in a Web3D manner. With the help of this platform, users can not only manage all kinds of toxic gas dispersion model data, but also set up the data of toxic gas dispersion, which is convenient for pubic to use.

Key words: lightweight, Gaussian puff model, WebGL, process visualization, GIS

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