大规模作战仿真数据存储模型研究

Research on Technique of Data Storage in Mass Battle Simulation

数据集成是大规模作战仿真集成的重要环节,是大规模仿真中同构或异构系统模型描述和信息交互的基础,其性能主要受到数据来源、数据访问、数据结构重建等因素的制约。该文首先对大规模仿真集成中数据集成的特点与难点问题进行了归纳和分析,然后提出了一种简化的仿真数据分类方法,在此基础上提出了一种基于广义表的仿真数据存储方法,为解决大规模仿真集成时的数据访问效率问题提供了新的途径。

The data integration is a key for the mass-battle simulation integration,it also plays a important role in interactions among the isomorphic or isomerous simulations,which performance can be restricted mainly by the data source,data accessing,data structure etc.This paper start with the analysis of the issues in terms of data integration in the mass simulation integration,then a simplified assort method of the data was be proposed,based on that,a data storage model was proposed,finally,the result of a series of performance test have been given for verify the superiorities of the new model.