基于仿真大数据的体系分析方法研究

System Analysis Method Based on Simulation Big Data

利用大型仿真系统开展的战争推演与探索性仿真,会产生海量的仿真数据。这些数据蕴含着丰富的战争复杂性规律,是用于研究战争复杂性机理的宝藏。在给出仿真大数据定义的基础上提出了基于仿真大数据的分析框架,包括仿真环境与数据规划、大数据采集存储和分析挖掘3个层次,并简要介绍了仿真数据规划和体系分析挖掘层中的基于超网络的数据分析方法。

Wargaming and exploratory simulation with large-scale simulation systems produce massive simulation data. These data contain many complexity patterns of war, and are significant samples for studying the mechanism of war. Based on the definition of simulation big data, an analysis framework based on simulation big data is proposed, which is divided into three levels: simulation environment and data planning, big data acquisition and storage, and analysis and mining. The simulation data planning and analysis and mining are briefly introduced.