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Acta Armamentarii ›› 2021, Vol. 42 ›› Issue (11): 2513-2521.doi: 10.3969/j.issn.1000-1093.2021.11.024

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Dynamic Super-network Model of Task-oriented Naval Fleet “Cloud Combat” System

NIE Junfeng, CHEN Xingjun, SHI Hongquan   

  1. (Institute of Operation Software and Simulation, Dalian Naval Academy, Dalian 116018, Liaoning, China)
  • Online:2021-12-27

Abstract: For the new operation mode of “cloud combat”,a analysis model of naval fleet “cloud combat” system is proposed,which includes operational mission domain,logical function domain, resource entity domain, intelligence reconnaissance network,active assistant decision network and fire strike network. The functional nodes,information relations and association mapping rules of naval fleet “cloud combat” system are abstractly represented,and a dynamic super-network model of task-oriented naval fleet “cloud combat” system is constructed. The feature parameter space of dynamic super-network of naval fleet “cloud combat” system is constructed based on the features of super-network elements,super-network association and super-network elasticity. The model is simulated for the typical combat task of air defense. The simulated results demonstrate that the dynamic super-network of naval fleet “cloud combat” system has good robustness and network elasticity,and the “cloud combat” system has better invulnerability and attack efficiency compared to the traditional combat system. This method can solve the modeling problem of naval fleet “cloud combat” system scientifically and effectively.

Key words: navalfleet, modelingofcombatsystem, task-flow, cloudcombat, dynamicsuper-network

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