Multi-satellite assisted ocean-going ship ai task computing offloading method and system

By employing multi-satellite assistance and multi-agent reinforcement learning algorithms, the challenges of network planning and resource allocation in AI task computational offloading for ocean-going vessels were solved, resulting in an efficient and stable computational offloading scheme that enhances the intelligence level of ocean-going vessels.

CN122138220APending Publication Date: 2026-06-02WUHAN SHIP COMM RES INST (NO 722 RES INST OF CHINA STATE SHIPBUILDING CORP)

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
WUHAN SHIP COMM RES INST (NO 722 RES INST OF CHINA STATE SHIPBUILDING CORP)
Filing Date
2026-02-12
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Ocean-going vessels face difficulties in effectively utilizing integrated air-space-ground networks for AI task computation offloading during voyages. Traditional methods struggle to quickly generate targeted network planning and resource allocation schemes, particularly exhibiting inefficiencies and instability issues during satellite switching and resource allocation.

Method used

By employing a multi-satellite assistance approach, suitable assisting satellites are selected based on environmental parameters and AI mission requirements. A computational offloading scheme is generated by combining multi-agent reinforcement learning algorithms, thereby achieving efficient utilization of satellite resources and precise mission matching. This includes optimization of satellite selection, switching, and access processes.

Benefits of technology

It improves the efficiency and stability of computational unloading, ensures the continuity and accuracy of task execution, reduces resource waste and transmission bottlenecks, and enhances the overall efficiency and reliability of AI task computational unloading for ocean-going vessels.

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Abstract

This invention provides a multi-satellite-assisted AI task computation offloading method and system for ocean-going vessels, belonging to the field of satellite communication and satellite computing technology. The method includes: before initiating an AI task computation offloading application, the vessel selects assisting satellites from a satellite system based on its environmental parameters and AI task requirements; after selecting an assisting satellite, if it determines that a satellite is currently assisting in executing another AI task and is not the selected assisting satellite, it enters a satellite switching process after the current task is completed; otherwise, it directly enters the access process for the selected assisting satellite; the vessel submits a computational task application to the satellite system to access the assisting satellite, and the satellite system generates a computation offloading plan based on the current satellite resource status and the vessel's AI task requirements. In the assisting satellite selection process, satellites with sufficient computing power are matched based on the vessel's own environment and AI task requirements, achieving efficient and accurate docking of satellite resources and vessel tasks, thus improving the efficiency of computation offloading.
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