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Design of task priority model and algorithm for imaging observation problem
Journal of Systems Engineering and Electronics ( IF 2.1 ) Pub Date : 2020-04-01 , DOI: 10.23919/jsee.2020.000010
Jian Wu , Fang Lu , Jiawei Zhang , Jinghui Yang , Lining Xing

In the imaging observation system, imaging task scheduling is an important topic. Most scholars study the imaging task scheduling from the perspective of static priority, and only a few from the perspective of dynamic priority. However, the priority of the imaging task is dynamic in actual engineering. To supplement the research on imaging observation, this paper proposes the task priority model, dynamic scheduling strategy and Heuristic algorithm. At first, this paper analyzes the relevant theoretical basis of imaging observation, decomposes the task priority into four parts, including target priority, imaging task priority, track, telemetry & control (TT&C) requirement priority and data transmission requirement priority, summarizes the attribute factors that affect the above four types of priority in detail, and designs the corresponding priority model. Then, this paper takes the emergency tasks scheduling problem as the background, proposes the dynamic scheduling strategy and heuristic algorithm. Finally, the task priority model, dynamic scheduling strategy and heuristic algorithm are verified by experiments.

中文翻译:

成像观测问题任务优先级模型及算法设计

在成像观测系统中,成像任务调度是一个重要的课题。大多数学者从静态优先级的角度研究成像任务调度,只有少数学者从动态优先级的角度研究。然而,成像任务的优先级在实际工程中是动态的。为补充成像观测的研究,本文提出了任务优先级模型、动态调度策略和启发式算法。本文首先分析了成像观测的相关理论基础,将任务优先级分解为目标优先级、成像任务优先级、跟踪遥测与控制(TT&C)要求优先级和数据传输要求优先级四个部分,总结了属性因素详细影响上述四种类型的优先级,并设计相应的优先级模型。然后,本文以紧急任务调度问题为背景,提出动态调度策略和启发式算法。最后,通过实验验证了任务优先级模型、动态调度策略和启发式算法。
更新日期:2020-04-01
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