模型平台公共数据管理方法研究  

Study on Public Data Management of Model Platform

作　　者：张翼翔[1,2] 王翠 邹宏伟[4] 陆浩田 

机构地区：[1]国防大学 [2]公共平台中心 [3]军事经济学院勤务指挥系 [4]中国人民解放军77626部队 [5]中国人民解放军95935部队

出　　处：《系统仿真学报》2014年第10期2215-2219,共5页Journal of System Simulation

摘　　要：模型平台是模型的开发与运行环境,在模型平台中实现通用的公共数据管理,目的是把模型运行的数据支撑环境与面向具体应用的逻辑功能实现相分离,有利于模型的独立开发、维护与升级,有利于进一步提高模拟系统整体的灵活性和可拓展性。概括描述了模型平台中实体、编组、环境、事件等七大类公共数据及其特点,设计了公共数据的物理分区、物理存储结构和逻辑组织结构,为公共数据建立了基于改进型T-树的静态索引和基于二维数组的动态索引,分别给出了静态数据段、动态数据段和系统控制区的数据操作方法,为搭载于模型平台上各模型运行提供稳定可靠的公共数据管理支持。Model platform is the development and runtime environment of model. Achieving universal public data management in model platform, is to separate the data supporting environment for model and the logic functions. This is not only beneficial to the independent development, maintenance and upgrades of model, but also to improve flexibility and scalability of simulation system. Seven categories of public data and their characteristics were summarized, such as entity, group, environment, event, etc. Physical partitions, physical storage structures and logical organizational structures of public data were designed. The static index which was based on the improved T-tree and dynamic index which was based on the two-dimensional array were established for public data. The data manipulation methods for static data segment, dynamic data segment and system control zone were described. These methods can provide effective support for the model runs in model platform.

关 键 词：模型平台 仿真模型 公共数据 管理方法 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]