基于复杂地形的化学仿真环境建模研究

doi:10.16182/j.issn1004731x.joss.21-0393

摘要/Abstract

摘要： 环境仿真是模拟训练系统建设中的一个重要内容。由于目前化学仿真环境没有考虑地形因素的影响,在模拟训练的导调控制、仿真交互与裁决评估等方面存在诸多问题。在经典高斯扩散模型的基础上,通过地形高程修正、扩散参数修正、质量守恒修正,得到复杂地形条件下的化学仿真环境,设置的化学危害区域与复杂地形大气扩散规律比较吻合,且计算速度快、仿真环境逼真,解决了化学仿真环境与模拟器之间的交互问题,为解决专业模拟训练的化学仿真环境构设问题提供方法手段。

关键词: 化学云团, 高斯扩散模型, 地形, 高程, 模拟训练

Abstract: Environment simulation is an important part of the construction of simulation training system. Without considering terrain factors in current chemical simulation environment, there are many problems in directing and controlling, simulation interacting, estimating and evaluating of simulation training. Based on the classical Gaussian diffusion model, the new model is suitable for the complex terrain chemical simulation environment through terrain elevation correction, diffusion parameter correction and mass conservation correction. The simulated chemical hazard area is in line with the atmospheric diffusion law of complex terrain. The model presents a realistic environment and fast computing ability, which solves the problem of interactions between the chemical simulation environment and simulators. It also provides methods for setting the chemical simulation environment in professional simulation training.

Key words: chemical clouds, Gaussian diffusion model, terrain, elevation, simulating training

中图分类号:

TP391.9

刘顺华, 方民. 基于复杂地形的化学仿真环境建模研究[J]. 系统仿真学报, 2021, 33(6): 1258-1267.

Liu Shunhua, Fang Min. Research on Chemical Simulation Environment Modeling Based on Complex Terrain[J]. Journal of System Simulation, 2021, 33(6): 1258-1267.

参考文献

[1] 王德才, 吴明飞, 唐业军, 等. 战场核化生环境计算机仿真研究[J]. 防化学报, 2009 (增1): 40-41.
Wang Decai,Wu Mingfei, Tang Yejun, et al.On Computer Simulation of NBC Battlefield Environment[J]. Journal of Chemical Defense, 2009(S1): 4-41.
[2] 王娜, 张越非, 龚有国, 等. 化工园区大气污染事故风险模拟研究[J]. 企业科技与发展, 2020(1):56-59.
Wang Na, Zhang Yuefei, Gong Youguo, et al.Simulation Research on the Risk of Air Pollution Accident in Chemical Industry Park[J]. Sci-Tech & Development of Enterprise, 2020(1): 56-59.
[3] 王子卓, 杨佳然, 刘文正, 等. 基于仿真交互的异构模型集成框架[C]// 2020中国仿真大会论文集. 北京: 中国仿真学会, 2020: 390-395.
Wang Zizhuo, Yang Jiaran, Liu Wenzheng, et al.Heterogeneous Model Integration Framework based on Simulation Interaction[C]// Proceedings of 2020 China Simulation Conference. Beijing: China Simulation Federatin, 2020: 390-395.
[4] 张晗. 基于VR的虚拟花卉真实感光照环境仿真交互应用研究[D]. 北京: 北京林业大学, 2019: 28-37.
Zhang Han.Resarch on Interactive Application of Virtual Flower Reality Lighting Environment Simulation Based on VR[D]. Beijing: Beijing Forestry University, 2019: 28-37.
[5] 梁俊丽, 孔维华, 费文华, 等. 基于复杂地形的高斯烟羽模型改进[J]. 环境工程学报, 2016, 10(6): 3125-3129.
Liang Junli, Kong Weihua, Fei Wenhua, et al.Improvement of Gaussian Plume Model in Complex Terrain[J]. Chinese Journal of Environmental Engineering, 2016, 10(6): 3125-3129.
[6] 王志刚, 郭三学. 基于高斯扩散模型的催泪弹气溶胶烟雾非致命效能仿真[J]. 含能材料, 2019, 27(2): 35-40.
Wang Zhigang, Guo Sanxue.Simulation of Non-Lethal Efficiency of Tear Bomb Aerosol Smoke Based on Gaussian Diffusion Model[J]. Chinese Journal of Energetic Materials, 2019, 27(2): 35-40.
[7] 杨硕, 李颖, 刘大刚, 等. 基于平板–高斯烟羽模型的海上重气泄漏事故研究[J]. 大连海事大学学报, 2019, 45(4): 153-160.
Yang Shuo, Li Ying, Liu Dagang, et al.Study on Heavy Gas Leakage Accidents Atsea Based on Slab-Gauss Plume Model[J]. Journal of Dalian Maritime University, 2019, 45(4): 153-160.
[8] 杨芳南, 郑家琪. 有毒重气体连续泄露扩散模拟与风险评估[J]. 北京交通大学学报, 2017, 41(2): 47-53.
Yang Fangnan, Zheng Jiaqi.Dispersing Modeling of Hazardous Weighty Gas after Continuous Release and Risk Assessment[J]. Journal of Beijing Jiaotong University, 2017, 41(2): 47-53.
[9] 于潇萌, 曹乐, 严家德, 等. 基于多相质点网格法的大气污染仿真模拟[J]. 科学技术与工程, 2020, 20(14): 5856-5863.
Yu Xiaomeng, Cao Le, Yan Jiade, et al.A Simulation of Atmospheric Pollution Based on Multi-Phase Particle-in-Cell Method[J]. Science Technology and Engineering, 2020, 20(14): 5856-5863.
[10] 张民, 张林. 气象条件模拟与污染扩散数值变化的影响建模研究[J]. 环境科学与管理, 2020, 45(9): 76-80.
Zhang Min, Zhang Lin.Modeling and Analysis of Impact of Simulation of Meteorological Conditions and Numerical Variation of Pollution Diffusion[J]. Environmental Science and Management, 2020, 45(9): 76-80.
[11] 何雁斌. 风荷载地形影响修正系数分析[J]. 福建建筑, 2019(10): 70-74.
He Yanbin.Analysis of Correction Coefficient of Wind Load Topography[J]. Fuzhou Architecture＆Construction, 2019(10): 70-74.
[12] 王戎骁, 陈彬, 邱思航, 等. 基于源项估计的污染气体扩散数据驱动仿真[J]. 系统仿真学报, 2017, 29(9): 2100-2109.
Wang Rongxiao, Chen Bin, Qiu Sihang, et al.Data Driven Simulation of Polluted Gas Dispersion using Source Estimation and Particle Filter[J]. Journal of System Simulation, 2017, 29(9): 2100-2109.
[13] 金雪莲. 关于有毒气体扩散问题的预估模型[J]. 辽宁工业大学学报(自然科学版), 2020, 40(3): 204-207.
Jin Xuelian.Predicted Model about the Spread Problem of Toxic Gases[J]. Journal of Liaoning University of Technology (Natural Science Edition), 2020, 40(3): 204-207.
[14] 任志丰, 姚进. 空气污染颗粒堆积对暖通排风风速流量的影响研究[J]. 环境科学与管理, 2020, 45(10): 82-86.
Ren Zhifeng, Yao Jin.Influence of Air Pollution Particle Accumulation Air Flow Rat[J]. Environmental Science and Management, 2020, 45(10): 82-86.
[15] 吕楠, 赵敬源, 张鹏. 基于GIS技术的城市大气污染物扩散模型研究[J]. 西安建筑科技大学学报(自然科学版), 2019, 51(5): 724-728.
Lü Nan, Zhao Jingyuan, Zhang Peng.Study on the Diffusion Model of Urban Atmospheric Pollutancts Based on GIS Technology[J]. Journal of Xi'an University of Architecture & Technology (Natural Science Edition), 2019, 51(5): 724-728.