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A multi-satellite resource planning method for cooperatively executing complex tasks

A technology for resource planning and complex tasks, applied in resource allocation, multi-programming devices, etc., to achieve the effect of maximizing utilization

Active Publication Date: 2019-06-25
INST OF SOFTWARE - CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the matching of meta-tasks and satellite resources is also a very complicated process

Method used

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  • A multi-satellite resource planning method for cooperatively executing complex tasks
  • A multi-satellite resource planning method for cooperatively executing complex tasks
  • A multi-satellite resource planning method for cooperatively executing complex tasks

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Embodiment Construction

[0029] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0030] In the satellite system, the sub-target tasks involved mainly include electronic detection tasks, imaging tasks, and communication support tasks. These three types of tasks can be abstracted into forms such as task identification, task objectives, execution constraints, and task requirements, and each element is described by several sub-elements. The following table is an example of a complex task requirement specification.

[0031] Table 1 Description of Complex Task Requirements

[0032]

[0033] (a) Task ID: a task ID is an identifying statement that distinguishes a certain task from other tasks, and its sub-elements include task name and task ID.

[0034] The task name is a general description of the task, but it cannot uniquely determine a task requirement;

[0035] The task ID is the serial number of the task requirement, wh...

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Abstract

The invention discloses a multi-satellite resource planning method for cooperatively executing complex tasks, which comprises the following steps of: 1, selecting an appropriate load type according toan environment constraint condition and a reconstruction task type input by a user; 2, selecting loads meeting conditions from all loads meeting the load type according to index requirements of a reconstruction task, and selecting an alternative satellite set possibly participating in reconstruction by combining a corresponding relation between the loads and satellites; Step 3, according to the orbit and load capacity of each satellite in each alternative satellite node set, calculating the coverage time and coverage range of each satellite on the reconstruction target, selecting a satelliteset capable of covering the target from the coverage time and coverage range, and forming a corresponding meta-task set; And step 4, selecting an appropriate meta-task combination from the meta-task set to complete re-planning of satellite system tasks. According to the invention, the coverage area and the coverage time of the satellite can be reasonably arranged, so that the utilization of satellite system resources is maximized.

Description

technical field [0001] The invention relates to the technique of multi-satellite cooperative execution of complex tasks, in particular to a multi-satellite resource planning method for complex tasks. Background technique [0002] According to the functionality of different existing satellite systems, complex satellite system tasks / missions can be decomposed into: imaging tasks, electronic detection tasks, satellite early warning tasks, surveying and mapping support tasks, meteorological support tasks, communication support tasks, and navigation and positioning tasks These seven categories. The task decomposition of the satellite system refers to decomposing subtasks into a series of discrete and interrelated meta-tasks according to certain decomposition rules. The decomposed meta-tasks directly correspond to specific satellite activities and can directly support mission planning. Since the mission attributes of satellite reconnaissance and communication include many aspects...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50
Inventor 吴姗周桓任范媛媛刘帅军胡海龙朱琳琳李磊
Owner INST OF SOFTWARE - CHINESE ACAD OF SCI
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