期刊文献+

基于敏捷系统工程建模的离线检测系统配置模型

Configuration Model Based on Agile Systems Engineering Modeling Offline Inspection System
下载PDF
导出
摘要 提出一个开发用于对复杂系统进行敏捷分析的基于系统工程建模的方法,该方法无须使用高性能的计算资源。该方法包括了3个最基本的系统工程指标映射,也就是性能测量、有效性测量,以及通过元建模的单图价值测量。通过该方法,分析者可以有效地支持元模型进行图系统的测量,从元素级别的性能测量到综合系统级别的单图指标,实时地在约束的时间框架下进行决策支持。通过元建模获得近似虚拟模型的数学表示形式,它缓解了对计算资源长运行时间占用和高计算性能要求的负担。该元模型同样提供了一个有效的通过所提出的建模对模拟的多输出收益进行汇集的方法。这两种方法共同构成这种敏捷的,基于模型的系统工程方法的基础。这种基于建模方法的有效性被配置于离线检测系统的实验所证明。 This paper presents a model-based systems engineering approach developed for a quick analysis of complex systems,the method without the use of high performance computing resources. The method comprises three basic indicators of system engineering mapping,which is a measure of performance,effectiveness measurement,and the value measured by a single diagram element modeling. By this method,the analysis can effectively support element model diagram of the system for measurement,measured level of performance from the element to the integrated value of the system-level diagram of a single,real-time decision-support framework under constraint. By element modeling an approximate mathematical representation of the virtual model is obtained,which eased the burden on the long-running occupation of computing resources and high performance computing requirements. The meta model also provides an effective method for modeling proposed by many analog output gain for pooled. Both of these methods constitute this agile,model-based systems engineering foundation. This modeling approach is based on the validity of the proof of our detection system configured for offline experiments.
作者 梁红杰
机构地区 黄河科技学院
出处 《火力与指挥控制》 CSCD 北大核心 2015年第9期21-25,共5页 Fire Control & Command Control
关键词 定量系统工程 元建模仿真 仿真优化 优先建模 quantitative systems engineering simulation metamodeling simulation optimization preference modeling
  • 相关文献

参考文献14

  • 1Sadhasivam D S,Jayarani R. Design and Implementation ofan Efficient Two-level Scheduler for Cloud Computing Envi- ronment [ C ]//In: International Conference on Advances in Recent Technologies in Communication and Computing, 2009(148): 884-886.
  • 2Enderle J, Hampel M, Seidl T. Joining Interval Data in Rela- tional Databases [ C ]//In Proc. ACM SIGMOD Conference on Management of Data, Paris, 2004: 683-694.
  • 3Rosen S, Saunders C, Guharay S. Multilevel Mapping of Sys- tem Engineering Metrics Via Simulation Metamodeling [J]. Bioinformatics, 2008,24(3 ) : 993-996.
  • 4Alekseyenko A V,Lee C J. Nested Containment List (NCList): A New Algorithm for Accelerating Interval Query of Genome Alignment and Interval databases [J]. Bioinfor- maties, 2007,23( 11 ) : 1386 - 1393.
  • 5尹寄明,楼佩煌.基于CAN总线系统的温度测量节点设计[J].计算机测量与控制,2006,14(5):607-609. 被引量:9
  • 6Chwif L, Paul R. On Simulation Model Complexity [ C ]l/Pro- ceedings of the 2000 Winter Simulation Conference, 2002: 449- 445.
  • 7Liu Y, Hu Y. Combination Tree for Mining Frequent Patterns Based on Inverted List [C]//In Proc. of the International Conference on Computational Intelligence and Security, 2006: 805-808.
  • 8Rosen S, Saunders C, Guharay S. Metamodeling of Time Se- ries Inputs and Outputs [ C ]//Proceedings of the 2012 Winter Simulation Conference, 2012.
  • 9张金学,掌明,李媛媛.基于四元数法的固定翼微型飞行器姿态控制[J].计算机测量与控制,2012,20(7):1851-1854. 被引量:5
  • 10李新征,易建强,赵冬斌.基于视觉的机器人定位精度提高方法[J].计算机测量与控制,2005,13(6):545-547. 被引量:3

二级参考文献35

共引文献15

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部