Agile satellite task parallel scheduling method based on data driving

Abstract

The invention discloses an agile satellite task parallel scheduling method based on data driving. The method comprises the steps of 1, obtaining agile imaging satellite historical task scheduling dataand a to-be-allocated task set; 2, training a task prediction model based on a deep learning algorithm, and predicting the scheduling probability of each to-be-allocated task; 3, according to a probability prediction result, allocating each task to the satellite with the maximum scheduling probability, and converting a large-scale satellite task scheduling problem into a plurality of parallel single-satellite scheduling problems; 4, solving; and 5, outputting the agile imaging satellite task scheduling sequence of each task to be distributed. The task scheduling probability prediction model is obtained through the machine learning algorithm, each task is allocated to the satellite with the maximum scheduling probability for execution, the complex problem is simplified, the task schedulingtime is shortened from the hour level to the minute level, and the scheduling efficiency of large-scale agile imaging satellite tasks is effectively improved.

Description

technical field [0001] The invention belongs to the field of task planning and dispatching, in particular to a data-driven agile satellite task parallel dispatching method. Background technique [0002] With the continuous development of satellite technology and the continuous development and utilization of earth and space resources by human beings, the application of satellites has become a very important space-based resource. According to different satellite application types, application satellites can generally be divided into imaging satellites, communication satellites and navigation satellites. Among them, earth imaging satellites mainly take or collect images and intelligence information on the earth's surface, and have been widely used in various military or civilian fields such as resource surveying, geographic information system management, weather forecasting, and missile early warning. With the continuous development of the breadth and depth of imaging satellit...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a data-driven agile satellite task parallel scheduling method for the slow scheduling rate of large-scale agile satellites and the problem that the scheduling scheme cannot be quickly given within a limited time

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