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Ground observation satellite task planning method based on simulated annealing algorithm

A simulated annealing algorithm and earth observation technology, applied in the field of space satellite management and control, can solve the problems of lack of versatility and dissatisfaction, and achieve the effect of flexible adjustment, enhanced versatility and scalability

Inactive Publication Date: 2018-06-15
NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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Problems solved by technology

[0003] At present, although some foreign countries have conducted in-depth research on satellite scheduling issues and developed some related software systems, most of these studies are carried out for specific satellite systems and tasks, lack of versatility, and do not meet the specific needs of our country. National conditions, cannot be well applied to our actual needs

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  • Ground observation satellite task planning method based on simulated annealing algorithm

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Embodiment Construction

[0020] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific examples.

[0021] The invention provides a method for planning an earth observation satellite mission based on a simulated annealing algorithm, and the specific implementation steps are as follows:

[0022] 1. Considering the satellite task priority, the greedy rule is used to generate the initial solution sequence.

[0023] Assume that the observation requirement requireDic expresses the relationship between the unique identification number of the requirement and the requirement of participating in planning in the form of Key-Value. Observation requirements include the following attributes: requirement number, observation type, priority, location coordinates, etc., and the content of the data structure can also be redefined as required.

[0024] taskInfoDic represents the relation...

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Abstract

The invention discloses a ground observation satellite task planning method based on a simulated annealing algorithm. On the premise that the space mission requirement and data reception resources areconsidered comprehensively, a universal ground observation satellite constraint processing method is designed by combining a satellite load use constraint rule; and task conflict elimination is carried out based on a simulated annealing algorithm and allocation of the satellite effective load resources is optimized, so that an objective of utilizing space resources fully is achieved. According tothe invention, the ground observation satellite resource optimization allocation problem is solved quickly by using an intelligent optimization algorithm; because of separation of the algorithm and the constraint checking, the algorithm replacement or constraint test method adjustment becomes more flexible; and the constraint checking employs the assembling service mode, so that the versatility and extensibility are enhanced.

Description

technical field [0001] The invention relates to the field of aerospace satellite management and control, and more particularly relates to a method for planning a mission of an earth observation satellite. Background technique [0002] Earth observation satellites use their sensors to capture remote sensing information on the ground and sea from space orbit. With the development of aerospace technology, the number and types of earth observation satellites are gradually increasing. The image information obtained by earth observation satellites has been widely used in various fields of human production and life, and the corresponding demand for earth observation tasks is also increasing. It is increasing rapidly, but due to the limitations of satellite load capacity and ground receiving resource capacity, it cannot fully meet all user needs. The goal of earth observation satellite mission planning is to select tasks that can be completed from numerous user requirements and all...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06
CPCG06Q10/04G06Q10/06315
Inventor 韩丽
Owner NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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