基于优先级的侦察力量优化配置排队模型OA
Priority-Based Optimal Configuration Queuing Model for Reconnaissance Forces
立足战区联合作战情报侦察保障任务需求,结合战时情报侦察任务时效性特点,区分侦察任务目标优先级,以侦察力量单元为服务台,侦察目标为顾客流,建立带抢占优先权和侦察休整策略的M/M/c排队模型.通过构建马尔科夫链进行稳态分析得出转移概率,利用拟生灭过程求解方法,推算战区情报侦察系统稳态分布的矩阵几何,计算情报侦察系统中的性能指标,最后根据所得结果分析参数变化对性能指标的影响,得出侦察力量配置最优的参数.
Based on the requirements of the joint operational intelligence reconnaissance and support mission in the war zone,combing the time-effectiveness characteristics of the actual intelligence recon-naissance mission,the priority of the reconnaissance mission target is distinguished,taking reconnais-sance force units as servers and reconnaissance targets as customer flows,an M/M/c queuing model with preemptive priority and reconnaissance recovery strategies is established.By constructing Markov chain for steady-state analysis,the transfer probability is obtained,the matrix geometry of steady-state distribution of intelligence reconnaissance system is calculated by means of quasi-birth-death process solution method,and the performance index is calculated.Finally,the influence of parameter change on performance index is analyzed according to the result,and the optimal parameters of reconnaissance force configuration are obtained.
曾相为;宋留勇;舒科
信息工程大学,河南 郑州 450001
联合情报侦察任务规划马尔科夫链排队论
joint intelligence reconnaissancemission planningMarkov chainqueuing theory
《信息工程大学学报》 2024 (003)
351-357 / 7
全军军事类研究生资助课题(JY2021B090)
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