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成像侦察任务流重构与调峰方法研究

Research on the Approaches of Reconstructing Imaging Reconnaissance Task Flow and Adjusting Task Flow Peaks
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摘要 针对成像侦查任务流非均匀并发、任务峰值过高与卫星资源能力有限的情况,研究成像侦察任务流重构与调峰方法,并平滑任务流曲线,为任务规划提供更合理的任务资源映射集。考虑成像侦察任务和任务流的特点,提出成像侦察任务时间区间需求度和资源负载的计算方法,设计成像侦察任务流重构的规则与算法,成像侦察任务流调峰的规则与算法。通过仿真实例验证任务流重构与调峰规则算法的有效性。 Considering the problems that imaging reconnaissance task flow is non-uniformly concurrent, some peaks of the task flow are higher, and the capability of satellite resource is limited, the paper did some research on the methods of reconstructing and adjusting the imaging reconnaissance task flow, smoothed the curve of the task flow, provided more reasonable task-resource set for task scheduling. Based on the characteristics of reconnaissance task and task flow, it puts forward the computing approach of time interval requirement and satellite resource workload, then the reconstruction rules and algorithm of imaging reconnaissance task flow and the rules and algorithm of adjusting task flow are investigated, then the paper the efficiency of the proposed algorithms in terms of task flow reconstruction and peaks adjusting is validated by simulation experiments.
出处 《装备指挥技术学院学报》 2011年第6期67-71,共5页 Journal of the Academy of Equipment Command & Technology
基金 部委级资助项目
关键词 成像侦察 任务流 重构 调峰 资源负载 规则与算法 imaging reconnaissance task flow reconstructing adjusting the peak resource workload rule and algorithm
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