虚拟采办实施全系统全寿命全方位管理的技术需求  

Technological requirements for a simulation-based acquisition system to manage all aspects of a total system's life cycle

作　　者：冯珊[1] 郭四海[1,2] 周凯波[1] 

机构地区：[1]华中科技大学控制科学与工程系,湖北武汉430074 [2]武汉理工大学自动化学院,湖北武汉430070

出　　处：《智能系统学报》2009年第1期30-43,共14页CAAI Transactions on Intelligent Systems

基　　金：“十一五”国家部委预研资助项目(4130400501);国家部委预研重点基金资助项目(40A04050707);国家自然科学重大基金资助项目(79990580)

摘　　要：基于仿真的采办系统复杂性决定了它对全系统、全寿命、全方位系统管理的需求.为了开发这样一种复杂管理系统,首先应将管理需求转换成相应的功能,使预期采办对象系统的全寿命过程得以有效实现.为此,对描述问题域的使命空间概念模型CMMS,及对数据、信息、知识、模型进行一体化描述的可扩展标记语言XML和支持组件按需组合型应用开发的可扩展建模与仿真框架XMSF技术体系结构进行了综合论述.详细给出了CMMS的定义、意义、形成、性能要求,并与用户空间概念模型CMUS和综合表示概念模型CMRS一起,通过软件开发过程模型SDP实现开发与验证的方法.随后,以CMMS产生初始能力文件的过程为例进行了应用分析.在总结了已完成的各项系统前期开发工作基础上,指出为达到可组合性需进一步研究建模与仿真的技术基础,并应将人工智能与计算智能嵌入建模与仿真的应用系统中.This paper proposes that the complexity of a simulation-based acquisition system depends on the management requirements of total system, including all aspects of its whole life cycle. To develop such a complex management system, the first step is to transfer the management requirements into corresponding functions, by which the targeted life cycle procedure of the whole objective system can be carried out effectively. The conceptual model of mission space （CMMS） was applied to problem area description; extensible markup language（XML） was used as a data, information, knowledge and model integrated descriptive standard; the extensible modeling and simulation framework （XMSF） was used for a component-based, requirements guided system. Composition styles were fully discussed. The research focus was on CMMS and the paper introduces its definition, meaning, formation, performance requirements and applications in detail. Next, a conceptual model of user space （CMUS） and a conceptual model synthetic representation （CMSR）, through a software development process （SDP） model, were used along with CMMS to form a development baseline. Afterwards, a case study of CMMS used for producing the initial capability document was evaluated and conclusions made. The technical background of modeling and simulation （M＆S） should be further studied for composability access and it was shown that AI and CI capabilities should be embedded into applied M＆S systems.

关 键 词：复杂性 需求分析 使命空间概念模型 基于仿真的采办 决策与控制 人工智能与计算智能 可组合性 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]