Satellite task planning method for realizing maximum observation area by limited coverage resource

一种任务规划、最大的技术，应用在预测、复杂数学运算、数据处理应用等方向，能够解决面积大、卫星覆盖资源数量少、不足以覆盖整个区域等问题

Active Publication Date: 2020-01-24
HEFEI UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But sometimes in the face of large-scale observation tasks, the number of satellite coverage resources is relatively small and not enough to cover the entire area. It is necessary to arrange more reasonably the length and position of the strips generated by each coverage opportunity, so that the coverage of the area as large an area as possible

Method used

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Embodiment Construction

[0078] In this embodiment, from the point of view of the two-dimensional plane space, the coverage opportunities can be generally divided into two types in the observation direction, which are downward sloping to the right and downward slanting to the left, for example Figure 2a and Figure 2b As shown, the symbol "\" and the symbol " / " can be used for analogy. The methods of constructing coverage patterns under two different coverage directions are very similar and have the characteristics of symmetry. Therefore, in order to simplify the description, we only take the first kind of coverage opportunity that slopes down to the right as an example for detailed description below.

[0079] Such as figure 1 As shown, a satellite mission planning method with limited coverage resources to achieve the maximum observation area is applied to the coverage opportunity set S={s of a rectangular area to be observed R and n imaging satellites 1 ,s 2 ,...,s i ,...s n} in the mission pl...

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Abstract

The invention discloses a satellite task planning method for realizing maximum observation area by limited coverage resources, which comprises the following steps: 1, discretizing and expressing an area to be observed by using grids, so that the original coverage problem of a larger area is converted into the coverage problem of the grids; 2, establishing an integer linear programming model of theproblem based on the grid, and designing a heuristic algorithm based on dynamic greedy by taking the realization of the maximum coverage area as an optimization target; 3, repeatedly refining the grid in a nested manner, and proposing a method for constructing an adjacent coverage mode on the new grid to prevent all coverage modes from being regenerated each time; and 4, combining grid refinement, construction of a near coverage mode and a dynamic greedy-based heuristic algorithm, and performing multiple iterations to obtain a better feasible solution. According to the method, the satellite task arrangement result with the maximum coverage area as the purpose can be quickly obtained, so that the satellite can fully utilize limited observation resources to complete observation tasks as many as possible, and the utilization efficiency of satellite resources is improved.

Description

technical field [0001] The invention belongs to the technical field of satellite mission planning, and specifically relates to a satellite mission planning method for realizing maximum observation area with limited coverage resources. Background technique [0002] A satellite is a machine manufactured by humans and launched into space, which orbits the earth in a certain orbit. One of its main functions is to observe land, ocean, atmosphere, etc. through spaceborne sensors (such as visible light cameras, multispectral cameras). Observation needs are put forward by users from various fields and departments, and are summarized in the satellite ground control center. According to the observation needs and combined with the use of satellite resources, the control center formulates comprehensive imaging coverage plans for each satellite, and generates measurement and control commands. The measurement and control station uploads to the satellite, and the satellite takes correspon...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/10G06Q10/04
CPCG06F17/10G06Q10/04Y02D30/70
Inventor 胡笑旋伍艺孙海权马华伟靳鹏罗贺夏维高天旸朱外明
Owner HEFEI UNIV OF TECH
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