Multi-satellite scheduling method for large-area target observation

A scheduling method and large-area technology, applied in the field of satellite scheduling, can solve the problems of difficult observation planning and long time consumption

Active Publication Date: 2021-11-23
NAT UNIV OF DEFENSE TECH
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the expansion of the observation target area, the increase of observation requirements from different customers, the increase of search space and candidate solutions, the selection and scheduling of observation windows are more free and changeable, making it difficult and time-consuming to generate feasible observation plans

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-satellite scheduling method for large-area target observation
  • Multi-satellite scheduling method for large-area target observation
  • Multi-satellite scheduling method for large-area target observation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0099] The following description in conjunction with the accompanying drawings, technical solutions of the present invention will be further shown and described.

[0100] Refer figure 1 A flowchart of the invention. Among them, the problem input contains observe the demand from customers, such as regional target information, the relevant satellite information, images and other required information, the problem is output to meet customer demand optimal measurement program. Framework to resolve this problem is the problem preprocessing, modeling and problem-solving questions in three stages. Pre-processing stage comprises a discrete problem areas and decomposition area of ​​the strip, including the problem modeling phase is transformed to construct performance evaluation system and the establishment of a mathematical model, problem solving design stage comprises selecting algorithm.

[0101] In particular, a multi-satellite scheduling method for large observation target region, comp...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

Aiming at the multi-satellite scheduling problem oriented to large-area observation, the invention provides a multi-satellite scheduling method oriented to large-area target observation. First, according to the user's needs, determining the observation task is to determine the target area T to be observed (that is, the location and area of ​​the known target area); determine the available satellite set S and the satellite parameter information of all available satellites in the available satellite set S. Then the target area is discretized, and the target area is decomposed into strips. The invention transforms the multi-satellite scheduling problem oriented to large-area target observation into a set coverage problem with multiple constraints, and establishes a mathematical model. Finally, the genetic algorithm is used to solve the mathematical model established in S4, and the output is the observation plan obtained from the solution. The invention solves the time-consuming satellite image acquisition method currently involved in environmental protection activities and the phenomenon of coverage omission, and the method of the invention can obtain a feasible observation scheme with a higher target coverage rate for a specific observation area.

Description

Technical field [0001] The present invention relates to the field of satellite scheduling technology, and more particularly to a multi-star scheduling method for large regional target observations. Background technique [0002] Earth Observing Satellite (EOS) is a spatial platform system capable of obtaining a specific region image of the Earth's surface according to various observation requirements. Because of its highly reliability, convenient and efficient characteristics, EOS image collection has been widely recognized by many customers such as government agencies, research institutions and commercial enterprises. In recent years, due to frequent human activities, the natural environment is increasing, natural disasters have occurred frequently, and environmental protection activities are increasingly attached to, such as land surveys, environmental monitoring, land desertification monitoring, tropical rainforest protection, Antarctic ice cover monitoring and other activities...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06N3/12
CPCG06N3/126G06Q10/0631
Inventor 刘晓路许英杰姚锋陈盈果陈成王涛吕济民陈宇宁
Owner NAT UNIV OF DEFENSE TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap