Imaging satellite dense task scheduling method based on task synthesis

Abstract

The invention provides an imaging satellite dense task scheduling method based on task synthesis. The method comprises the following steps: extracting a satellite task set; synthesizing tasks in the satellite task set to form an observable synthesized task set; establishing a multi-satellite task scheduling model for synthesizing an observation task; and solving the multi-satellite task schedulingmodel to obtain a synthetic task scheduling scheme. By synthesizing the tasks, the tasks meeting the constraint condition requirements can be synthesized together to the maximum extent, the satelliteenergy consumption can be reduced by reducing the opening times of the sensors, and the tasks which originally conflict with one another can be observed together. The task observation benefit of thesatellite can be greatly improved, and the solving speed of the algorithm can be increased in the problem solving stage, so that rapid solving response can be realized for a relatively large-scale dense task scheduling problem, and the emergency requirement is met.

Description

technical field [0001] The invention belongs to the field of satellite task scheduling and planning, and in particular relates to a method for scheduling intensive tasks of imaging satellites based on task synthesis. Background technique [0002] Imaging satellites are currently the most widely used type of satellite in the world. In satellite observation activities, there are often situations where tasks in the observation area are relatively intensive, such as flood fighting and disaster relief. It is particularly important to give the satellite task scheduling plan in time and quickly. [0003] For such intensive tasks, if traditional observations are used, many tasks will often conflict with each other. The conflict between two tasks means that the time between the two tasks is too short to complete the attitude of the satellite between the two tasks. conversion, resulting in low efficiency of satellite observation. However, since the imaging satellite has a certain fie...

AI Technical Summary

Problems solved by technology

However, for time-sensitive and large-scale task problems, the time cost is relatively large, the calculation time is long, and the efficiency is low, so the scheduling plan cannot be given in time and quickly.

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