SCIENTIA SINICA Informationis, Volume 48 , Issue 7 : 794-809(2018) https://doi.org/10.1360/N112017-00301

Modeling and simulation method of equipment support system based on multiple agents

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  • ReceivedApr 17, 2018
  • AcceptedApr 28, 2018
  • PublishedJul 18, 2018


The equipment support system plays a decisive role in modern war. If the actual equipment test is used, the cost of time, manpower, and material resources is higher, so the modeling and simulation method is more scientific. However, as a complex system, the equipment support system has many components and complex interactions, so it is difficult to reveal its characteristics by using a simulation method based on the discrete event. Therefore, the emergent properties of the system can be revealed by the bottom-up and collaborative autonomy of the agents through a simulation method based on multiple agents to model and simulate the equipment support system. In this research, the simulation modeling of the equipment support system is carried out based on multiple agents, the architecture of the simulation platform is constructed, and such key technologies as simulation operation management, time synchronization, and data distribution are studied. A publish subscribe algorithm for a two-way dynamic rough linked list tree is proposed. Finally, through the prototype system and case analysis, it is proved that the modeling and simulation method based on multiple agents is feasible.

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[1] He B, Liu X D. Trend and construction probe on accoutrements systematic development guarantee. J Xi'an Aerotechnical College, 2007, 1: 78--80. Google Scholar

[2] Xu Z C. Equipment Support of Engineering and Management. Beijing: National Defense Industry Press, 2006. 12--36. Google Scholar

[3] Weng H M. Research on agent-based equipment maintenance support decision. Dissertation for Ph.D. Degree. Changsha: National University of Defense Technology, 2005. 10--14. Google Scholar

[4] Zeng P H, Zuo Z J, Xiong C, et al. Design of multi-agent-based equipment fault diagnosis and reparation sysem. ChangSha Aeronaut Vocat Tech College J, 2006, 3: 21--24. Google Scholar

[5] Huang H, Cao J H, Shan Z W. Design of the MAS-based material integrated support simulation system. J Acad Armored Force Eng, 2008, 3: 17--21. Google Scholar

[6] Xu T X, Zhao J Z, Liu Y, et al. Research on the application of agent technology in the field of equipment support. Technol Found Nat Defense, 2010, 11: 34--40. Google Scholar

[7] Li Y, Jin W, Wu C. Modeling and simulation on maintenance support of military equipment based on CA and MAS. Fire Control Command Control, 2012, 7: 161--164. Google Scholar

[8] Li B, Xu Z C, Huang S F, et al. Research on the integrated logistics support system based on multi-agent modeling method. In: Proceedings of the 14th Chinese Conference on System Simulation Technology and Application (CCSSTA'2012), Sanya, 2012. 562--566. Google Scholar

[9] Yu W H. Development Technology of Multi Agent System Based on JADE Platform. Beijing: National Defense Industry Press, 2011. 1--13. Google Scholar

  • Figure 1

    (Color online) The structure of equipment support system modeling and simulation

  • Figure 2

    The process of modeling and simulation of equipment support system

  • Figure 3

    (Color online) The structure of simulation control

  • Figure 4

    (Color online) Comparison of the effect of matching algorithm

  • Figure 5

    (Color online) The results of different condition

  • Table 1   The results of different algorithms
    方法 计数法 双动法 精细求好 精细求快 不分类 单静态
    (Methods) (Counting) (Double motion) (Fine and fine) (Fine and quick) (Unclassified) (Single static)
    (Waiting number
    of subscriptions) 15.60 5.00 3.50 3.40 4.30 14.00
    (The average match
    number of all subscriptions)13.43 1.24 9.45 2.28 1.37 4.07
    (Average processing
    time of subscriptions) 4.99 3.41 5.56 4.96 5.40 5.02
    (Exceed the
    required score) 26.33 31.55 34.08 30.72 34.09 25.59
  • Table 2   The results of different condition
    条件 正常 要求低 订阅多 订阅少
    (Condition) (Normal) (Low requirement) (More subscriptions) (Less subscriptions)
    (The match number of waiting subscriptions) 4.15 3.20 5.60 1.00
    (The match number of subscriptions without waiting) 1.27 1.31 1.70 1.89
    (The match frequency of waiting subscriptions) 1.06 1.07 1.21 1.00
    (The match frequency of subscriptions to all) 1.24 1.29 1.51 1.80
    (The processing time of subscriptions to all) 387.93 308.96 889.35 102.40
    (Average processing time of subscriptions) 3.41 2.99 4.14 2.33
    (The processing time of waiting subscriptions) 2366.90 2436.70 2392.00 1008.00
    (Exceed the required score) 31.55 42.25 28.97 37.60

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