Inter-satellite link satellite data transmission task scheduling method and system and storage medium

By constructing an integer planning model and parallel algorithm group of inter-star link satellite digital transmission task model, and using machine learning to search for the best algorithm configuration, the contradiction between parallel computing resources costs and quality in satellite networks is solved, and efficient communication and data processing is achieved.

CN119727845AActive Publication Date: 2025-03-28XIANGTAN UNIV
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Patent Information

Application Number
CN202411281139.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-13
Publication Date
2025-03-28
Estimated Expiration
2044-09-13

AI Technical Summary

Technical Problem

When the prior art performs inter-satellite link satellite digital transmission mission scheduling in satellite networks, the calculation amount is large, making it difficult to effectively solve the contradiction between the huge computing resource cost and quality required for parallel computing.

Method used

Build an integer programming model of the inter-star link satellite digital transmission task model, and build a parallel algorithm group, search for the best algorithm configuration using machine learning to overcome the huge computing resource cost and quality contradictions required for parallel computing.

Benefits of technology

It has achieved the maximization of communication efficiency under limited resource constraints, significantly improved the operating efficiency and data processing capabilities of satellite networks, and supported complex space tasks and scientific research activities.

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Abstract

The invention discloses an inter-satellite link satellite data transmission task scheduling method and system and a storage medium. The inter-satellite link satellite data transmission task scheduling method comprises the steps of obtaining a satellite set, a task target set and a ground station set; determining a network connection plan and a data transmission plan in each time slot; task constraint conditions are obtained, an inter-satellite link satellite data transmission task scheduling model is established, and the value of complete task data transmitted to a ground station after T time slots is maximum in the inter-satellite link satellite data transmission task scheduling model; and constructing a parallel algorithm group, obtaining an optimal algorithm and corresponding parameter configuration, and matching the optimal algorithm with the scene instance. According to the method, an integer programming model of an inter-satellite link satellite data transmission task model is constructed, a parallel algorithm group is constructed, the optimal algorithm configuration is searched by adopting a machine learning mode, and the contradiction between the cost and the quality of huge computing resources required by parallelization is overcome.
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