Single-satellite emergency mission planning method and system based on pointer neural network

A neural network and mission planning technology, applied in the field of satellite scheduling, can solve the problems of manual secondary adjustment, easy to fall into local optimal solution, and poor generalization ability of the method, so as to reduce occupancy, reduce dependence on heuristic rules, The effect of improving generalization ability

Active Publication Date: 2022-04-22
HEFEI UNIV OF TECH
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

Although this type of algorithm can obtain an approximate solution to the problem and has a good solution time, the algorithm has poor stability, is easy to fall into a local optimal solution, and is more dependent on the designed heuristic rules. Manual secondary adjustment

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  • Single-satellite emergency mission planning method and system based on pointer neural network
  • Single-satellite emergency mission planning method and system based on pointer neural network
  • Single-satellite emergency mission planning method and system based on pointer neural network

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Embodiment Construction

[0062] The specific implementation manners of the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation manners described here are only used to illustrate and explain the implementation manners of the present invention, and are not intended to limit the implementation manners of the present invention.

[0063] In the embodiments of the present invention, unless stated otherwise, the used orientation words such as "up, down, top, bottom" are usually for the directions shown in the drawings or for vertical, vertical or The term used to describe the mutual positional relationship of each component in terms of the direction of gravity.

[0064] In addition, if there are descriptions involving "first", "second" and so on in the embodiments of the present invention, the descriptions of "first", "second" and so on are only for descriptive purposes, and should not b...

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Abstract

The invention provides a pointer neural network-based single-satellite emergency task planning method and system, belonging to the technical field of satellite dispatching. The method includes forming multiple pieces of training data from the task requirement data set; generating an emergency task planning scheme; judging whether the number of iterations is greater than or equal to the number threshold; in the case of judging that the number of iterations is less than the number threshold, calculating the benefit; judging whether the number of iterations is equal to the initial value; when it is judged that the number of iterations is equal to the initial value, update the parameters according to the income; when it is judged that the number of iterations is not equal to the initial value, update the parameters according to the smoothed income; update the number of iterations; when it is judged that the number of iterations is greater than or equal to the number threshold, test The pointer neural network is used to judge whether the accuracy requirements are met; when the accuracy requirements are not met, the number of iterations is reset to the initial value; when the pointer neural network is judged to meet the accuracy requirements, the actual task requirements are received; the pointer neural network is used to generate emergency Mission planning scheme.

Description

technical field [0001] The invention relates to the technical field of satellite scheduling, in particular to a single-satellite emergency task planning method and system based on a pointer neural network. Background technique [0002] Imaging satellites are an important means of obtaining ground image information, and have important strategic value and wide application requirements. The satellite emergency mission planning technology is located at the center of the imaging satellite mission management and control platform. It is mainly responsible for solving resource contention and mission conflicts, optimizing the use efficiency of satellites, and facing the current situation of limited satellite resources, numerous imaging requirements, and strong response timeliness. important. [0003] The satellite emergency mission planning problem is a kind of combinatorial optimization problem with high complexity and high timeliness. Although the traditional exact solution algor...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q10/04G06N3/04G06K9/62
CPCG06Q10/06315G06Q10/06316G06Q10/04G06N3/045G06F18/214
Inventor 胡笑旋王执龙夏维马华伟靳鹏罗贺王国强孙海权王云辉胡玉可晏冰
Owner HEFEI UNIV OF TECH
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