基于图关联组织的新型仿真资源管理方法研究  

comResearch on Simulation Resource Management Based on Graph Association Organization

作　　者：刘泽伟 丁一珊 林廷宇 柯明星 郭丽琴 肖莹莹 赵志龙 李岩 吕喧 Liu Zewei;Ding Yishan;Lin Tingyu;Ke Mingxing;Guo Liqing;Xiao Yingying;Zhao Zhilong;Li YanLüxuan(Beijing Simulation Center,Beijing 100854,China;National Innovation Institute of Defense Technology,Academy of Military Science,Beijing 100071,China;College of Electronic Engineering,National University of Defense Technology,Hefei 230037,China)

机构地区：[1]北京仿真中心,北京100854 [2]军事科学院国防科技创新研究院,北京100071 [3]国防科技大学电子对抗学院,安徽合肥230037

出　　处：《系统仿真学报》2024年第9期1983-1994,共12页Journal of System Simulation

摘　　要：智能化体系、系统和单装的仿真试验测试评估是一个复杂系统工程,需要对分散在云试验中心和各单位试验场所的多源、异构、分布的海量仿真资源进行有效管理,并做好对动态产生的任务、想定、配置、结果、评估等数据和文件的管控。传统的按类目进行仿真资源管理和查询的方式效率不高,难以满足大型智能仿真试验测试评估活动要求。提出了一种基于图关联组织的仿真资源管理总体框架,定义了面向图关联组织的仿真资源关联组织元模型,提出动态抽取不同工具/系统中管理的仿真资源信息、构建基于关联关系组织的仿真资源图结构、提供仿真资源按需访问的关键算法与方法。经应用范例验证,该方法能够准确标记智能演进过程中的能影响仿真运行结果的仿真资源集合状态变化,有效提升仿真资源管理和调阅选用的效率。The simulation test and evaluation of intelligent system of systems,systems and single equipment is a complex system engineering,which requires effective management of multi-source,heterogeneous and distributed massive simulation resources scattered in cloud test centers and test sites of various units;and good control of dynamically generated tasks,assumptions,configurations,results,evaluations and other data and files.The traditional way of managing and querying simulation resources by category is inefficient and difficult to meet the requirements of large-scale intelligent simulation test and evaluation activities.An overall framework for simulation resource management based on graph association organization,defines a simulation resource association organization metamodel for graph association organization,and proposes key algorithms and methods for dynamically extracting simulation resource information managed in different tools/systems,constructs a simulation resource graph structure based on association organization,and provides on-demand access to simulation resources.Verified by application examples,this method can accurately mark the state changes of simulation resource sets that can affect the simulation operation results during the intelligent evolution process,and effectively improve the efficiency of simulation resource management and retrieval.

关 键 词：仿真资源管理 仿真试验 智能体测试评估 元模型 图关联组织 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论]