系统仿真学报 ›› 2016, Vol. 28 ›› Issue (9): 1979-1984.

• 仿真建模理论与方法 • 上一篇    下一篇

实时修正的烟幕随机游走仿真模型

孙逊1,2, 王玄玉2, 王献1, 刘顺华1   

  1. 1.防化学院研究生管理大队,北京 102205;
    2.防化学院防化装备系,北京 102205
  • 收稿日期:2015-05-12 修回日期:2015-07-30 出版日期:2016-09-08 发布日期:2020-08-14
  • 作者简介:孙逊(1973-),男,吉林公主岭,博士生,研究方向为武器系统工程;王玄玉(1965-),男,陕西蒲城,博士,博导,研究方向为军事化学与烟火技术,武器系统工程;王献(1976-),男,河南淅川,博士生,研究方向为军事化学与烟火技术。

Random-walk Smokescreen Simulation Model of Real-time Correction

Sun Xun1,2, Wang Xuanyu2, Wang Xian1, Liu Shunhua1   

  1. 1. Department of graduate management of Institute of NBC Defence, Beijing 102205, China;
    2. Department of chemical defence equipment of Institute of NBC Defence, Beijing 102205, China
  • Received:2015-05-12 Revised:2015-07-30 Online:2016-09-08 Published:2020-08-14

摘要: 烟幕的高斯扩散模式不适合复杂大气条件,随机游走模式不易精确求得微粒的统计性质,这两种模式实用性均受到限制。针对上面所说的问题,提出了利用数学形态学算法实时检测视频中烟幕边缘数据,根据此数据实时修正的随机游走烟幕仿真模型的方法。试验结果表明,修正后的模型适合实际的复杂大气条件下烟幕建模仿真,所生成的仿真烟幕精度可控,比较接近真实的烟幕,实现了烟幕的精确化仿真。解决了随机游走和高斯烟幕仿真模型不太实用的问题。

关键词: 烟幕, 数学形态学, 边缘检测, 随机游走, 仿真

Abstract: Gaussian diffusion mode of smokescreen is not suitable for complex atmospheric conditions and it is not easy to accurately obtain statistical properties of particles by utilizing random-walk mode, so the practicability of these two kinds of modes is limited. In view of the problems mentioned above, the revised random-walk smokescreen simulation model method was put forward, in the method, mathematical morphology algorithm was utilized to detect the data on smokescreen edge in a video in real-time and the model was rectified in real-time on basis of such data. The test result indicates that the revised model is suitable for actual smokescreen modeling and simulation under complex atmospheric conditions. The precision of the generated simulation smokescreen is controllable and the model is approximate to the real smokescreen. The method realizes precise simulation of smokescreen and solves the problems that the random-walk model and gauss smokescreen simulation model are not practical.

Key words: smokescreen, mathematical morphology, edge detection, random-walk mode, simulation

中图分类号: