系统仿真学报 ›› 2018, Vol. 30 ›› Issue (12): 4546-4554.doi: 10.16182/j.issn1004731x.joss.201812007

• 仿真建模理论与方法 • 上一篇    下一篇

动态数据驱动仿真应用思考:从物理域到社会域

陈彬1, 王亦平2, 邱晓刚1, 刘亮1, 马亮1   

  1. 1.国防科技大学系统工程学院,湖南长沙 410073; 海军902厂,上海 200083
  • 收稿日期:2018-05-20 修回日期:2018-07-20 出版日期:2018-12-10 发布日期:2019-01-03
  • 作者简介:陈彬(1981-),男,安徽芜湖,博士,副研究员,研究方向为基于ACP的仿真运行支撑、平行实验方法等。
  • 基金资助:
    国家重点研发计划重点专项(2017 YFC0806900), 国家自然科学基金(71673292, 71673294), 国家社会科学基金(17CGL047)

Think of the Dynamic Data Driven Application Systems in Simulation: from Physics Domain to Social Domain

Chen Bin1, Wang Yiping2, Qiu Xiaogang1, Liu Liang1, Ma Liang1   

  1. 1.College of System Engineering, National University of Defense Technology, Changsha 410073, China;
    2. Factory 902, Naval of PLA, Shanghai 200083, China
  • Received:2018-05-20 Revised:2018-07-20 Online:2018-12-10 Published:2019-01-03

摘要: 动态数据驱动应用系统(Dynamic Data Driven Application Systems, DDDAS)是智能化的平行实验方法中一个重要的组成部分。随着大数据、智能学习、博弈方法等技术的发展,动态数据驱动应用系统在案例中的作用模式也产生了巨大的变化。为了适应从物理域到社会域系统的需要,本文首先总结了典型物理系统中的动态数据驱动仿真应用方式,即基于数据同化方法的仿真预测;其次讨论了公共安全领域关注的社会域动态数据驱动方法的应用。给出了数据驱动仿真应用思考,以及未来重点的工作方向。

关键词: ACP方法, 平行实验方法, 数据同化, 人群疏散, 社交网络

Abstract: Dynamic data driven application systems (DDDAS) is an important part in the intelligent ACP based experimental approach. With the development of information technologies such as big data, intelligent learning, game play theory, the modes of application of DDDAS in simulation cases have changed a lot. In order to meet the requirements of the researches in both physics domain and social domain, the applications of DDDAS in classical cases are summarized. The data assimilation in the two physics cases is illustrated in detail. Then the cases in social domain which is focused by safety science are also discussed. The summary is given and the future works are listed.

Key words: ACP, intelligent parallel experiment approach, data assimilation, evacuation, social network

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