计算机科学 ›› 2018, Vol. 45 ›› Issue (11A): 548-552.

• 综合、交叉与应用 • 上一篇    下一篇

新一代指挥控制系统信息化能力分析与评估

路云飞, 李琳琳, 张壮, 和何   

  1. 火箭军工程大学作战保障学院 西安710025
  • 出版日期:2019-02-26 发布日期:2019-02-26
  • 通讯作者: 路云飞(1992-),男,硕士生,主要研究方向为指挥控制系统效能评估方法,E-mail:15091098140(
  • 基金资助:
    本文受国家863计划重点课题(2012AA7010213)资助。

Information Capability Analysis and Evaluation of New Generation Command and Control System Computer Engineering and Applications

LU Yun-fei, LI Lin-lin, ZHANG Zhuang, HE He   

  1. Academy of Operational Support,Rocket Force University of Engineering,Xi’an 710025,China
  • Online:2019-02-26 Published:2019-02-26

摘要: 随着信息技术的快速发展,传统指挥控制系统由于信息化能力严重滞后,已不能满足现代战争的作战需求。因此,文中开展了新一代指挥控制系统信息化能力分析与评估的研究。首先,构建了信息化能力指标体系;其次,针对传统系统评估不涉及指标建模、难以保证指标值有效性的问题,结合每个指标的特性,建立了可量化的数学模型;最后,运用经典评估方法实现了信息化能力的评估,发现了系统建设中存在的不足,为系统性能的改进与完善提供了重要参考。

关键词: 效能评估, 信息化能力, 信息优势, 指标建模, 指标体系, 指挥控制

Abstract: With the rapid development of information technology,the information capacity of traditional command and control system is seriously lagging,that can not meet the needs of modern war operations.Therefore,this paper carried out information capability analysis and evaluation of new generation command and control system.Firstly,the evaluation index system of information capability was constructed.Secondly,aiming at the problem that the traditional evaluation does not involve the index modeling,and the difficulty to guarantee the validity of the index value,the detailed quantifia-ble mathematical model was constructed according to the characteristics of each index.Finally,the classical evaluation methods were used to complete the evaluation of information capabilities and discover the system construction shortage,which provides an important reference for system improvement.

Key words: Command and control, Effectiveness evaluation, Index modeling, Index system, Information capability, Information superio-rity

中图分类号: 

  • E2744
[1]陈黎,李芳芳,赵广彤.美陆军一体化防空反导指控系统研究及启示[J].现代防御技术,2016,44(5):82-88.
[2]李向阳,潘长鹏,李伟波.基于C-AHP的指挥控制系统作战效能指标体系研究[J].舰船电子工程,2014,34(2):31-34.
[3]房坚,王钺,袁坚.基于集合距离的信息优势度量方法[J].系统工程与电子技术,2017,39(1):114-119.
[4]江汉,尹浩,李学军,等.C4ISR体系对抗仿真中的信息优势度量[J].系统工程与电子技术,2006,28(1):88-91.
[5]QI Z F,HAN S,LI J X.Applications of Generalized Rough Set Theory in Evaluation Index System of Radar Anti-Jamming Performance[J].Journal of Shanghai Jiaotong University(Science),2016,21(2):151-158.
[6]YANG J S,WANG F Y.Developing a quantitative index system for assessing sustainable forestry management in Heilongjiang Province,China:a case study[J].CrossMark,2016,27(3):611-619.
[7]杜俊慧.基于灰色粗糙集的评价指标筛选方法研究[J].中北大学学报,2012,33(5):559-562.
[8]陈强,陈长兴,陈婷,等.基于ADC模型的数据链系统作战效能评估[J].火力与指挥控制,2016,41(1):72-76.
[9]胡涛,焦彦维,王华兵,等.基于区间云模型对信息网络的效能评估[J].系统工程理论与实践,2017,37(2):478-485.
[10]孙璐璐.层次型无线传感器网络故障检测方法研究[D].沈阳:沈阳理工大学,2015.
[11]蓝羽石,毛少杰,王衍.指挥信息系统结构理论与优化方法[M].北京:国防工业出版社,2015.
[12]申普兵,赵占东,宫强兵.网络作战能力评估指标体系构建问题的研究[J].计算机科学,2016(S1):505-507.
[13]JANA K,JAN S.Fuzzified AHP in the evaluation of scientific monographs [J].Central European Journal of Operations Research,2016,24(2):353-370.
[14]XU R S,ZHANG J L,ZUO H B,et al.A novel model for cost performance evaluation of pulverized coal injected into blast furnace based on effective calorific value[J].Journal of Central South University of Technology,2015(22):3990-3998.
[15]陈兆兵,郭劲,王兵,等.车载高架式光电探测系统的作战效能评估[J].光学精密工程,2013,21(1):77-86.
[1] 王茂光, 杨行.
一种基于AP-Entropy选择集成的风控模型和算法
Risk Control Model and Algorithm Based on AP-Entropy Selection Ensemble
计算机科学, 2021, 48(11A): 71-76. https://doi.org/10.11896/jsjkx.210200110
[2] 张壮, 李琳琳, 余宏锋, 范宝庆.
改进投影寻踪-灰色关联的指控系统效能评估
Effectiveness Evaluation of Command and Control System Based on Improved Projection Pursuit and Grey Correlation Method
计算机科学, 2019, 46(9): 298-302. https://doi.org/10.11896/j.issn.1002-137X.2019.09.045
[3] 杜行舟, 张凯, 江坤, 马昊伯.
基于区块链的数字化指挥控制系统信息传输与追溯模式研究
Research on Blockchain-based Information Transmission and Tracing Pattern in Digitized Command-and-Control System
计算机科学, 2018, 45(11A): 576-579.
[4] 陈维鹏, 敖志刚, 郭杰, 余勤, 童俊.
基于改进的BP神经网络的网络空间态势感知系统安全评估
Research on Cyberspace Situation Awareness Security Assessment Based on Improved BP Neural Network
计算机科学, 2018, 45(11A): 335-337.
[5] 靳骁, 葛慧, 马锐.
新型网络空间防御体系的构建及效能评估
Construction and Effectiveness Evaluation of New Cyber Defense System
计算机科学, 2018, 45(11A): 377-381.
[6] 罗凤娥,张成伟,刘安.
基于数据挖掘的航班延误预警管理分析
Flight Delays Early Warning Management and Analysis Based on Data Mining
计算机科学, 2016, 43(Z6): 542-546. https://doi.org/10.11896/j.issn.1002-137X.2016.6A.129
[7] 申普兵,赵占东,宫强兵.
网络作战能力评估指标体系构建问题的研究
Research on Evaluation of Computer Network Operation Based on Capacity Factor
计算机科学, 2016, 43(Z6): 505-507. https://doi.org/10.11896/j.issn.1002-137X.2016.6A.119
[8] 张杰勇,姚佩阳,孙鹏.
基于动态影响网的C2组织COA问题建模
Modeling of COA Problem of C2 Organization Based on Dynamic Influence Nets
计算机科学, 2012, 39(5): 95-98.
[9] 李国辉.
基于Hopfield神经网络的企业竞争力评价模型
Evaluation Model on Competitive Power of Enterprise Based on Hopfield Neural Networks
计算机科学, 2011, 38(Z10): 464-466.
[10] 郑黎明,邹鹏,张建锋,贾焰,韩伟红.
面向大规模网络的安全态势实时量化感知模型
Real Time Situational Awareness Model for Large-scale Networks
计算机科学, 2011, 38(Z10): 30-35.
[11] 马兰,杨义先.
系统化的信息安全评估方法
Systemic Approach of Evaluating Information Security
计算机科学, 2011, 38(9): 45-49.
[12] 张杰勇,姚佩阳,滕培俊.
多平台防空体系中的协同机制研究
Research of Coordination Mechanism in Multi-platform Air Defense System
计算机科学, 2011, 38(9): 91-94.
[13] 贾 焰,王晓伟,韩伟红,李爱平,程文聪.
YHSSAS:面向大规模网络的安全态势感知系统
YHSSAS: Large-scale Network Oriented Security Situational Awareness System
计算机科学, 2011, 38(2): 4-8.
[14] 吴志军,杨义先.
信息安全保障评价指标体系的研究
Research of Indicator for Information Assurance Evaluation
计算机科学, 2010, 37(7): 7-10.
[15] 吴志军,杨义先.
信息化进程的研究
Research of Informationization Processing
计算机科学, 2010, 37(4): 11-.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!