COVID-19病毒防控多智能体仿真模型

doi:10.16182/j.issn1004731x.joss.20-0312

系统仿真学报 ›› 2020, Vol. 32 ›› Issue (11): 2244-2257.doi: 10.16182/j.issn1004731x.joss.20-0312

• 仿真模型/系统置信度评估技术 • 上一篇下一篇

COVID-19病毒防控多智能体仿真模型

潘理虎, 秦世鹏, 李晓文, 芦飞平, 杨芬玉

太原科技大学计算机科学与技术学院,山西太原 030024

收稿日期:2020-06-07 修回日期:2020-08-16 出版日期:2020-11-18 发布日期:2020-11-17
作者简介:潘理虎(1974-),男,河南上蔡,博士,教授,研究方向为人工智能、软件工程。
基金资助:
深圳市科技创新项目(JSGG20170413173425899),中国科学院战略性先导科技专项(XDA20010000),山西省自然科学基金(201901D111258)

Multi-agent Simulation Model for COVID-19 Virus Prevention and Control

Pan Lihu, Qin Shipeng, Li Xiaowen, Lu Feiping, Yang Fenyu

College of Computer Science and Technology,Taiyuan University of Science and Technology,Taiyuan 030024,China

Received:2020-06-07 Revised:2020-08-16 Online:2020-11-18 Published:2020-11-17

摘要/Abstract

摘要： 新型冠状病毒(COVID-19)的防控是当前维护世界公共卫生安全的重点工作,据此提出运用多智能体建模仿真技术构建COVID-19病毒防控模型,以模拟在不同防控措施下的疫情动态发展趋势。以太原市为例,依据已发现的COVID-19病毒传播规律,制定各类居民智能体之间的交互传染与状态转换规则,实现了COVID-19病毒传播的防控决策仿真模型,在政府和医院的不同政策措施下进行了多情景仿真实验。实验结果表明多智能体建模方法可有效分析新型冠状病毒传播趋势,为城市疫情防控提供决策支持。

关键词: 新型冠状病毒传播, 城市疫情防控, 多智能体建模, 公共卫生安全, 病毒防控策略

Abstract: The prevention and control of the novel coronavirus (COVID-19) is the priority work to maintain the public health security of the world nowadays. The COVID-19 prevention and control model using multi-agent modeling and simulation technology is proposed. The model can simulate the different dynamic development trend of the epidemic under different prevention and control measures. Taking Taiyuan as an example, according to the researched COVID-19 transmission rules, the prevention and control simulation of COVID-19 has been achieved under the designing rule of the interactive infection process and status transition process between various resident agents. Multi-scenario simulation experiments are realized under different policy measures of hospital and government. The experimental results show that the multi-agent modeling method is effective in analyzing the spread of COVID-19 and can provide decision support for city epidemic prevention and control.

Key words: new coronavirus transmission, urban epidemic prevention and control, multi-agent modeling, public health safety, virus prevention and control strategy

中图分类号:

TP391.9

潘理虎, 秦世鹏, 李晓文, 芦飞平, 杨芬玉. COVID-19病毒防控多智能体仿真模型[J]. 系统仿真学报, 2020, 32(11): 2244-2257.

Pan Lihu, Qin Shipeng, Li Xiaowen, Lu Feiping, Yang Fenyu. Multi-agent Simulation Model for COVID-19 Virus Prevention and Control[J]. Journal of System Simulation, 2020, 32(11): 2244-2257.

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COVID-19病毒防控多智能体仿真模型

Multi-agent Simulation Model for COVID-19 Virus Prevention and Control

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