An Adaptive Scheduling Method and System for Large-Scale Earth Observation Missions Using Low-Earth Orbit Satellites

By employing a greedy strategy based on both time and load factors and allocating a frequency memory matrix in low-Earth orbit (LEO) satellite constellations, combined with conflict sensing and inter-satellite link collaborative rescheduling, the problems of real-time performance, mission completion rate, and load balancing in large-scale Earth observation mission scheduling of LEO satellite constellations are solved, achieving efficient and stable mission scheduling.

CN121523916BActive Publication Date: 2026-03-31YANTAI UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-01-14
Publication Date
2026-03-31

AI Technical Summary

Technical Problem

Existing low-Earth orbit satellite constellations struggle to balance real-time performance with global optimization capabilities in large-scale Earth observation mission scheduling. Their simplistic mission conflict handling mechanisms result in low mission completion rates, and insufficient load balancing impacts system stability.

Method used

An initial allocation scheme is generated using a greedy strategy based on both time and load factors. Task allocation is performed using an allocation frequency memory matrix and an inverse correlation selection probability model. Combined with a conflict-aware time elastic adjustment mechanism and inter-satellite link collaborative rescheduling, a scheduling scheme that balances global benefits and load is achieved.

Benefits of technology

It effectively reduces computational complexity, meets real-time scheduling requirements, improves task completion rate and system robustness, ensures the execution of critical tasks and recovers low-value tasks, and has good scalability and engineering applicability.

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Abstract

The present application relates to the technical field of satellite observation task scheduling, in particular to a kind of low-orbit satellite large-scale earth observation task adaptive scheduling method and system.The method includes generating task allocation result according to task candidate resource mapping table, including generating initial allocation scheme using time and load double factors Greedy strategy and establishing allocation frequency memory matrix;Inverse correlation selection probability model is constructed using allocation frequency memory matrix, and task allocation result considering global benefit and load balancing is output;Task scheduling optimization is carried out based on task allocation result, including conflict resolution fine tuning using conflict-aware time elasticity adjustment mechanism;Inter-satellite link collaborative rescheduling based on task characteristics;Efficiency considers global optimization and real-time response capability.The present application decouples complex joint scheduling problem into two sub-problems with clear logic and low coupling degree, which greatly reduces the computational complexity of single scheduling.
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