Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Imaging satellite scheduling problem model building method based on body

A technology for imaging satellites and scheduling problems, which is applied in the field of aerospace imaging satellite scheduling and can solve the problem that the ontology does not have a unified definition.

Inactive Publication Date: 2013-10-02
NAT UNIV OF DEFENSE TECH
View PDF6 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] There is currently no unified definition of ontology

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
  • Imaging satellite scheduling problem model building method based on body
  • Imaging satellite scheduling problem model building method based on body
  • Imaging satellite scheduling problem model building method based on body

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The purpose of the present invention is to provide a method for constructing an ontology-based imaging satellite scheduling problem model that can describe the imaging satellite scheduling problem in a generalized manner.

[0026] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be described in detail below in conjunction with the accompanying drawings. The description in this part is only exemplary and explanatory, and should not have any limiting effect on the protection scope of the present invention. .

[0027] In one embodiment, as figure 1 As shown, the present invention provides a method for constructing an ontology-based imaging satellite scheduling problem model, and the specific steps of the method are as follows:

[0028] (1) Take tasks, resources, scheduling time range, constraints, goals, preferences, and scheduling requirements as related items of imaging satellite...

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 discloses an imaging satellite scheduling problem model building method based on a body. The method comprises the following specific steps of (1) treating tasks, resources, a scheduling time range, restraints, goals, preferences and scheduling demands as related items of an imaging satellite scheduling problem, (2) combining the related items of the tasks, the resources, the scheduling time range, the restraints, the goals, the preferences and the scheduling demands with specific application knowledge to carry out instantiation on the mutual relation, and generating a specific application model, and (3) building the specific application model by the utilization of a body tool, and describing the body of the specific application model through a standard format. According to the imaging satellite scheduling problem model building method based on the body, a problem domain is confirmed by building the goals, the restraints and problem parameters, and accordingly the imaging satellite scheduling problem can be described generally.

Description

technical field [0001] The invention relates to the technical field of aerospace imaging satellite scheduling, in particular to an ontology-based imaging satellite scheduling problem model building method. Background technique [0002] There is currently no unified definition of ontology. Chandrasekaran and others believe that ontology is the research content in the field of artificial intelligence, which studies the object classification, object attributes and the relationship between objects of specific domain knowledge, and provides specifications for the description of domain knowledge. Semantic Web researchers believe that ontology is a formal specification that defines the relationship between words. Although the definition is not uniform, it is generally recognized that ontology has the meaning of formalization, knowledge sharing and interoperability. Ontology has a set of classification system and a series of inference rules, which can map between different modelin...

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): G06F9/46
Inventor 贺仁杰刘晓路谭跃进王沛廉振宇邢立宁严珍珍杨振宇孙凯姚锋义余江何苗
Owner NAT UNIV OF DEFENSE TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com