基于源项估计的污染气体扩散数据驱动仿真

doi:10.16182/j.issn1004731x.joss.201709030

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (9): 2100-2108.doi: 10.16182/j.issn1004731x.joss.201709030

基于源项估计的污染气体扩散数据驱动仿真

王戎骁, 陈彬, 邱思航, 朱正秋, 邱晓刚

国防科技大学信息系统与管理学院,湖南长沙 410073

收稿日期:2017-05-05 发布日期:2020-06-02
作者简介:王戎骁(1994-)，男，江西吉安，硕士生，研究方向为系统仿真。
基金资助:
国家自然科学基金(71673292，61503402)，国家重点研发计划重点专项资金(2017YFC0803300)，上海市软件和集成电路产业发展专项资金(150312)；

Data Driven Simulation of Polluted Gas Dispersion Using Source Estimation and Particle Filter

Wang Rongxiao, Chen Bin, Qiu Sihang, Zhu Zhengqiu, Qiu Xiaogang

College of Information System and Management, National University of Defense Technology, Changsha 410073, China

Received:2017-05-05 Published:2020-06-02

摘要/Abstract

摘要： 化工园区污染气体扩散的实时预测对于大气污染事故的应急管理具有重要意义。由于大气扩散模型中源项参数的未知以及输入参数的误差,传统的大气扩散仿真精度有限。因此提出了一种基于源项估计与粒子滤波的污染气体扩散数据驱动仿真方法。基于源项估计获取的源项参数,利用粒子滤波将无人机观测气体浓度数据实时注入扩散模型中以校正系统状态,获取更为准确的预测结果。实验表明,相比传统仿真方法更准确地预测了气体浓度分布,为应急处置提供有力的数据支撑。

关键词: 污染气体扩散, 数据驱动仿真, 源项估计, 数据同化, 粒子滤波, 无人机

Abstract: The real-time prediction of the air contaminant dispersion in chemical industry park is important to the emergency management of air pollution accident. Due to the unknown source terms and the error of input parameters in the atmospheric dispersion model, the accuracy of traditional simulation is limited. A data driven atmospheric dispersion simulation based on source estimation and particle filter was proposed. Based on the results of the source estimation, particle filter was applied to assimilate the UAV observation into the dispersion model in real time to calibrate the system state and obtain more accurate prediction results. Experiments show that the proposed data driven atmospheric dispersion simulation method can predict the concentration distribution more precisely and provide strong support for emergency treatment.

Key words: air contaminant dispersion, data driven simulation, source estimation, data assimilation, particle filter, UAV

中图分类号:

TP391.9

王戎骁, 陈彬, 邱思航, 朱正秋, 邱晓刚. 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): 2100-2108.

Wang Rongxiao, Chen Bin, Qiu Sihang, Zhu Zhengqiu, Qiu Xiaogang. Data Driven Simulation of Polluted Gas Dispersion Using Source Estimation and Particle Filter[J]. Journal of System Simulation, 2017, 29(9): 2100-2108.

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基于源项估计的污染气体扩散数据驱动仿真

Data Driven Simulation of Polluted Gas Dispersion Using Source Estimation and Particle Filter

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