Supercharge Your Innovation With Domain-Expert AI Agents!

Space-air collaborative observation complex task scheduling method and system

A scheduling method and a technology for complex tasks, which are applied in the field of complex task scheduling methods and systems for aerospace collaborative observation to achieve the effect of improving the efficiency and quality of task planning.

Active Publication Date: 2021-05-07
NAT UNIV OF DEFENSE TECH
View PDF5 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The technical problem to be solved by the present invention is how to quickly schedule complex tasks of space-space collaborative observation, and maximize the task revenue, and provide a complex task scheduling method and system of space-space collaborative observation

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
  • Space-air collaborative observation complex task scheduling method and system
  • Space-air collaborative observation complex task scheduling method and system
  • Space-air collaborative observation complex task scheduling method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0041]Since the air-space collaborative task planning problem has the characteristics of related NP-Hard problems, in order to concentrate on the research on the main issues and determine the boundaries of the research problems, so as to ensure a reasonable collaborative task planning, this paper puts forward relevant assumptions to simplify the model:

[0042] (1) The satellite is equipped with visible light load, and has three-axis attitude maneuverability of side swing, pitch, and yaw;

[0043] (2) The sate...

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

The invention provides an air-space collaborative observation complex task scheduling method and system, and the method comprises the steps: dividing a search region according to grids, dividing a complex task into sub-task sets according to the grids covered by the task, and distributing the sub-task sets to all platforms according to a task planning frame of distribution-planning-adjustment-distribution. Each platform performs task planning, then a planning result is adjusted according to a heuristic rule to obtain a planning scheme of the allocation, an allocation scheme is reformed according to the obtained planning scheme, loop iteration is performed, and finally a satisfactory allocation scheme is found. According to the method, the multi-layer nested genetic algorithm is designed, so that the planning problem of the air-space collaborative observation complex task can be efficiently and flexibly solved, and the planning speed and the planning quality of the method are far higher than those of a traditional planning method for the air-space collaborative observation complex task.

Description

technical field [0001] The invention belongs to the field of mission planning and dispatching, and in particular relates to a method and system for dispatching complex missions of space-space collaborative observation. Background technique [0002] Complex tasks mainly refer to the collection of all different types of tasks issued by users within a certain period of time, collectively referred to as complex tasks, and perform unified preprocessing, planning, coordination, and execution observation on complex tasks, as shown in Table 1. The complex task planning problem of space-space collaborative observation refers to the use of satellite and UAV observation resources, according to the load characteristics, maneuverability, operation mode, etc. of satellite and UAV observation platforms, to process complex tasks through related methods of collaborative planning, The planning goal is to reasonably allocate observation resources, determine the execution time of each task, and...

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 Applications(China)
IPC IPC(8): G06Q10/06G06Q10/04G06N3/12
CPCG06Q10/0631G06Q10/04G06N3/126
Inventor 沈大勇柳金明何磊姚锋陈英武陈盈果刘晓路吕济民陈宇宁张忠山王涛
Owner NAT UNIV OF DEFENSE TECH
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com