Computer Science ›› 2018, Vol. 45 ›› Issue (10): 306-312.doi: 10.11896/j.issn.1002-137X.2018.10.057

• Interdiscipline & Frontier • Previous Articles     Next Articles

Flexibility Measurement Model of Command and Control Information Chain for Networked Operations

NAN Ming-li1,2, LI Jian-hua1, CUI Qiong1, RAN Hao-dan1,3   

  1. Information and Navigation College,Air Force Engineering University,Xi’an 710077,China 1
    The Unit 95801 of PLA,Beijing 100843,China 2
    Information and Communication College,National University of Defense Technology,Xi’an 710106,China 3
  • Received:2017-09-19 Online:2018-11-05 Published:2018-11-05

Abstract: Flexibility is the key ability for command and control information chain to effectively response dynamic complexity and uncertainty,which plays an important role in ensuring command and control information flowing efficiently.Aiming at the flexibility measurement problem of command and control information chain for networked operations,in this paper,firstly,concepts of operational node,command and control information flow,command and control information chain for networked operations and flexibility were defined,abstract structure of information chain was built,and flexibility intension of command and control information and action process were analyzed.Secondly,nine flexibility factor measuring indexes were proposed from design,implement and control phases,and corresponding computing methods were given.Thirdly,index weight determination and aggregation method were given,and command and control information chain flexibility measurement model was built.According to the measurement results,flexibility degree can be judged.Finally,taking regional joint air defense operations as example,the feasibility and effectiveness of the model are validated.

Key words: Command and control information chain, Flexibility, Measurement, Model, Networked operations

CLC Number: 

  • E917
[1]YANG Y H,LI J H,NAN M L,et al.Adaptive evolution mode- ling for networked oparational information flowing strategy [J].Systems Engineering and Electronics,2017,39(7):1513-1523.(in Chinese)
杨迎辉,李建华,南明莉,等.网络化作战信息流转策略适应性演化建模[J].系统工程与电子技术,2017,39(7):1513-1523.
[2]JIAO H,WU X D,WANG M.Research on flexibility and optimization of strategic delivery support chain [M].Beijing:Military Science Press,2013.(in Chinese)
焦红,吴晓东,王敏.战略投送保障链柔性与优化研究[M].北京:军事科学出版社,2013.
[3]ZHANG J Y,LAN Y S,YI K.Model and solving method for adaptive evolution of command and control relationship in C4ISR system [J].Systems Engineering and Electronics,2015,39(7):85-92.(in Chinese)
张杰勇,蓝雨石,易侃.C4ISR系统指挥控制关系适应性演化模型和方法研究[J].系统工程与电子技术,2015,39(7):85-92.
[4]CONNOLLY J,LAFLEUR J.Integrating flexibility into human space exploration architecture design decisions [C]∥AIAA SPACE 2012 Conference & Exposition.California:Pasadena,2012.
[5]CUI Q,LI J H.An assessment method on the resilience of net- worked command information system [J].Military Operations Research and Systems Engineering,2016,30(4):18-24.(in Chinese)
崔琼,李建华.网络化指挥信息系统弹性度量方法[J].军事运筹与系统工程,2016,30(4):18-24.
[6]YU K K,CADEAUX J,SONG H.Flexibility and quality in logistics and relationships [J].Industrial Marketing Management,2017,62(3):211-225.
[7]PATTERSON M,PATE D,GERMAN B.Performance flexibi- lity of a reconfigurable family of UAVs [C]∥11th AIAA Aviation Technolog,Intrgration and Operations Conference.VA:Virainia Beach,2011.
[8]LIU G,LIAO S H,YU G J,et al.Simulation research of time-sensitive target striking information chain [J].Information & Communications,2016,31(10):82-84.(in Chinese)
刘钢,廖守化,于功建,等.时敏目标打击作战信息链仿真研究[J].信息通信,2016,31(10):82-84.
[9]IDRIS H R,SHEN N,EI-Wakil T.Analysis of trajectory flexibility preservation impact on traffic complexity [C]∥AIAA Modeling and Simulation Technologies Conference.Illinois:Chicago,2009.
[10]ZHU G,TAN X S,WANG H,et al.Command and control mo- del based on complex information relation integration [J].Complex system and Complexity Science,2015,14(1):57-65.(in Chinese)
朱刚,谭贤四,王红,等.复杂信息关系集成的指挥控制模型[J].复杂系统与复杂性科学,2015,14(1):57-65.
[1] ZHOU Le-yuan, ZHANG Jian-hua, YUAN Tian-tian, CHEN Sheng-yong. Sequence-to-Sequence Chinese Continuous Sign Language Recognition and Translation with Multi- layer Attention Mechanism Fusion [J]. Computer Science, 2022, 49(9): 155-161.
[2] WU Zi-yi, LI Shao-mei, JIANG Meng-han, ZHANG Jian-peng. Ontology Alignment Method Based on Self-attention [J]. Computer Science, 2022, 49(9): 215-220.
[3] HU Yu-jiao, JIA Qing-min, SUN Qing-shuang, XIE Ren-chao, HUANG Tao. Functional Architecture to Intelligent Computing Power Network [J]. Computer Science, 2022, 49(9): 249-259.
[4] WANG Zi-kai, ZHU Jian, ZHANG Bo-jun, HU Kai. Research and Implementation of Parallel Method in Blockchain and Smart Contract [J]. Computer Science, 2022, 49(9): 312-317.
[5] DOU Jia-wei. Privacy-preserving Hamming and Edit Distance Computation and Applications [J]. Computer Science, 2022, 49(9): 355-360.
[6] HOU Yu-tao, ABULIZI Abudukelimu, ABUDUKELIMU Halidanmu. Advances in Chinese Pre-training Models [J]. Computer Science, 2022, 49(7): 148-163.
[7] ZHOU Hui, SHI Hao-chen, TU Yao-feng, HUANG Sheng-jun. Robust Deep Neural Network Learning Based on Active Sampling [J]. Computer Science, 2022, 49(7): 164-169.
[8] JIANG Sheng-teng, ZHANG Yi-chi, LUO Peng, LIU Yue-ling, CAO Kuo, ZHAO Hai-tao, WEI Ji-bo. Analysis of Performance Metrics of Semantic Communication Systems [J]. Computer Science, 2022, 49(7): 236-241.
[9] LI Tang, QIN Xiao-lin, CHI He-yu, FEI Ke. Secure Coordination Model for Multiple Unmanned Systems [J]. Computer Science, 2022, 49(7): 332-339.
[10] YANG Bing-xin, GUO Yan-rong, HAO Shi-jie, Hong Ri-chang. Application of Graph Neural Network Based on Data Augmentation and Model Ensemble in Depression Recognition [J]. Computer Science, 2022, 49(7): 57-63.
[11] YU Jia-qi, KANG Xiao-dong, BAI Cheng-cheng, LIU Han-qing. New Text Retrieval Model of Chinese Electronic Medical Records [J]. Computer Science, 2022, 49(6A): 32-38.
[12] LI Ya-ru, ZHANG Yu-lai, WANG Jia-chen. Survey on Bayesian Optimization Methods for Hyper-parameter Tuning [J]. Computer Science, 2022, 49(6A): 86-92.
[13] ZHANG Xi-ran, LIU Wan-ping, LONG Hua. Dynamic Model and Analysis of Spreading of Botnet Viruses over Internet of Things [J]. Computer Science, 2022, 49(6A): 738-743.
[14] YANG Han, WAN You, CAI Jie-xuan, FANG Ming-yu, WU Zhuo-chao, JIN Yang, QIAN Wei-xing. Pedestrian Navigation Method Based on Virtual Inertial Measurement Unit Assisted by GaitClassification [J]. Computer Science, 2022, 49(6A): 759-763.
[15] TAN Ren-shen, XU Long-bo, ZHOU Bing, JING Zhao-xia, HUANG Xiang-sheng. Optimization and Simulation of General Operation and Maintenance Path Planning Model for Offshore Wind Farms [J]. Computer Science, 2022, 49(6A): 795-801.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!