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当前航天侦察任务预处理方法一般仅从任务需求的角度考虑资源分配问题,容易导致负载不均衡,对此提出了一种综合考虑任务需求与资源负载的任务-资源匹配方法。分析了资源负载均衡需要考虑的任务要素以及相应的描述方法,提出用任务执行概率度量卫星资源负载状况,基于任务流模型给出了单任务执行概率的估算公式,并给出了一种简易的多任务执行概率求解算法。综合考虑任务的任务量、优先级、执行效果与执行概率,提出了航天侦察任务-资源匹配的负载均衡模型,并给出了一种启发式求解算法,模拟实验表明负载均衡方法可以有效提高卫星资源利用率以及侦察效益。
The current space reconnaissance mission preprocessing methods generally consider the resource allocation problem only from the perspective of mission requirements, which leads to unbalanced load easily. In this paper, a task-resource matching method considering the task demand and resource load is proposed. This paper analyzes the task elements that need to be considered in resource load balancing and the corresponding description methods. It proposes to measure the satellite resource load with task execution probability, and gives the estimation formula of single task execution probability based on task flow model. Multi-task execution probability solution algorithm. Considering the task amount, priority, execution effect and execution probability of the task synthetically, the space reconnaissance task-resource matching load balancing model is proposed and a heuristic solution algorithm is given. The simulation results show that the load balancing method can effectively improve the satellite Resource utilization and detection efficiency.