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English(EN) Task-Driven Three-Layer Distributed Scheduling for Emergency Earth Observation in Large Low-Earth-Orbit Constellations

新的T3L-DS方法优化了低轨对地观测星座的应急调度

研究人员开发了一种名为任务驱动三层分布式调度(T3L-DS)的新方法,以解决大规模低地球轨道(LEO)对地观测(EO)星座中的动态应急观测调度问题(DEOSP)。该方法旨在以对常规运行的最小干扰,有效地将紧急任务插入现有的观测计划中。T3L-DS在通用网格上表示任务需求和传感器足迹,形成用于协调的观测能力和星间链路的临时集群。实验表明,T3L-DS在应急覆盖方面优于其他分布式方法,并显著减少了常规覆盖损失。 AI

排序理由 该集群包含一篇详细介绍卫星星座新调度方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

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新的T3L-DS方法优化了低轨对地观测星座的应急调度

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该集群包含一篇详细介绍卫星星座新调度方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Qian Yin, Xinwei Wang, Guohua Wu ·

    面向任务的大型低轨星座应急对地观测三层分布式调度

    arXiv:2608.14789v1 Announce Type: new Abstract: Large low-Earth-orbit (LEO) Earth-observation (EO) constellations offer frequent access to geographically dispersed ground targets, but emergency requests may arrive after committed routine-plan execution has begun. The resulting dy…