Satellite task demand configuration method and system

Abstract

The invention relates to a satellite task demand configuration method and system, and the method comprises the following steps: 1, constructing a satellite task demand model according to a space task scene, and carrying out the digital representation of perceptual experience knowledge; 2, performing implicit rule extraction on the spaceflight task sample data, and expanding the spaceflight task data; and step 3, according to a satellite task attribute decision-making method of distance measurement retrieval, obtaining a satellite task demand attribute automatic configuration result. According to the invention, through digital model construction, small sample task data-based implicit rule extraction, sample expansion, satellite task demand intelligent decision algorithm design and the like, satellite task demand intelligent decision is realized; according to the method, the defects that the existing satellite task attribute decision-making process is high in manpower dependence degree, low in processing efficiency, weak in intelligent degree and the like are overcome, and the space task decision-making efficiency and the information support and guarantee capability are improved.

Description

technical field [0001] The invention belongs to the field of aerospace technology, and in particular relates to a method and system for configuring satellite mission requirements based on imitation learning of small sample aerospace mission data. Background technique [0002] At present, there are few studies on the configuration decision of satellite mission requirements attributes. In the research of satellite mission planning and scheduling and other related fields, the satellite mission requirements are usually determined or assumed to be known, that is, the early stage of mission planning based on aerospace information is ignored. The process by which task requirement attribute configuration decisions are made. In the current actual satellite control and mission planning process, the generation and proposal of missions often rely on the experience and knowledge of aerospace experts, and the reasoning and judgment based on information such as targets and environments, so...

AI Technical Summary

Problems solved by technology

In the decision-making process of task requirements, there are problems such as low processing efficiency, long time-consuming, high dependence on manpower, low level of intelligence, and lack of human resources.

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