化工园区污染源源项估计方法及实现

doi:10.16182/j.issn1004731x.joss.201709035

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (9): 2134-2139.doi: 10.16182/j.issn1004731x.joss.201709035

化工园区污染源源项估计方法及实现

朱正秋, 陈彬, 邱思航, 王戎骁, 邱晓刚

国防科学大学信息系统与管理学院仿真工程研究所,湖南长沙 410073

收稿日期:2017-03-29 发布日期:2020-06-02
作者简介:朱正秋(1994-),男,江苏淮安,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(2017YFC0803300),上海市软件和集成电路产业发展专项资金(150312)

Research and Implementation on Source Term Estimation Methods of Pollution in Chemical Parks

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

Institute of Simulation Engineering School of Information Systems and Management, National University of Defense Technology, Changsha 410073, China

Received:2017-03-29 Published:2020-06-02

摘要/Abstract

摘要： 生化灾害一旦发生,其危害极大,研究化工园区污染源源项估计方法可以防微杜渐,有效避免事故发生,这对保障社会的公共安全起到至关重要的作用。从无人机监测系统、反问题模型、岭回归计算以及粒子群算法等4个方面的研究对化工园区的安全监测问题进行建模分析,通过一个实际案例对模型和算法的有效性进行了验证。该研究能辅助管理者更好地对化工事故进行风险评估和应急管理,避免和减少化工事故所带来的影响和危害。

关键词: 生化灾害, 反问题模型, 岭回归计算, 粒子群算法, 无人机监测系统

Abstract: Studying the source term estimation methods of pollution in chemical clusters is effective to avoid accidents, since biochemical disasters have brought great loss to human beings. Safety monitoring of chemical industry parks was modeled via unmanned aerial vehicle (UAV) monitoring system, inverse problem model, ridge regression model, and particle swarm optimization algorithm. Based on that, a practical case was given to analyze results of experiment. Research findings are helpful for risk assessments and emergency management.

Key words: biochemical disasters, inverse problem model, ridge regression, PSO, UAVs monitoring system

中图分类号:

TP391.9

朱正秋, 陈彬, 邱思航, 王戎骁, 邱晓刚. 化工园区污染源源项估计方法及实现[J]. 系统仿真学报, 2017, 29(9): 2134-2139.

Zhu Zhengqiu, Chen Bin, Qiu Sihang, Wang Rongxiao, Qiu Xiaogang. Research and Implementation on Source Term Estimation Methods of Pollution in Chemical Parks[J]. Journal of System Simulation, 2017, 29(9): 2134-2139.

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化工园区污染源源项估计方法及实现

Research and Implementation on Source Term Estimation Methods of Pollution in Chemical Parks

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