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

A classification method of airspace operation situation assessment based on fuzzy reasoning

A technology of operation situation and fuzzy reasoning, applied in character and pattern recognition, instruments, computing, etc., can solve the problems of model interpretability neglect and lack of interpretability, so as to reduce time complexity and space complexity, and predict accurately The effect of improving performance and optimizing accuracy

Active Publication Date: 2019-05-03
BEIHANG UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Machine learning methods based on large batches of data samples often use the accuracy index as the primary criterion, while ignoring the interpretability of the model
On the other hand, the fuzzy reasoning system makes the established model have obvious physical meaning by establishing the knowledge expression form and reasoning mechanism, but the existing fuzzy reasoning systems with good interpretability are mostly based on expert knowledge, while Data-based fuzzy reasoning systems tend to improve in accuracy but lack in interpretability

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
  • A classification method of airspace operation situation assessment based on fuzzy reasoning
  • A classification method of airspace operation situation assessment based on fuzzy reasoning
  • A classification method of airspace operation situation assessment based on fuzzy reasoning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The technical solution of the present invention will be described in further detail below through specific embodiments and in conjunction with the accompanying drawings.

[0039] The fuzzy reasoning-based airspace operation situation assessment classification method provided by the present invention, such as figure 1 As shown, specifically include the following steps;

[0040] Step 1: Collect airspace operational situation samples of sectors to be processed, including:

[0041] The airspace operational situation level of a sector to be processed will be calculated based on n airspace operational situation eigenvalues. The airspace operation situation samples of the sector to be processed are collected to form a sample set, and each sample includes n features.

[0042] The characteristic value of airspace operation situation refers to the attribute factors of flight track distribution, airspace route structure, air traffic control operation rules, etc. that can affect ...

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 a fuzzy reasoning-based airspace operation situation assessment and classification method, belonging to the technical field of airspace situation assessment and classification. It includes the following steps: Step 1: Collect the airspace operation situation samples of the sector to be processed; Step 2: Establish a preliminary fuzzy reasoning system based on the airspace operation situation samples of the sector to be processed; Step 3: Optimize the fuzzy system based on the multi-objective population adaptive immune algorithm Interpretability and accuracy of reasoning systems. By utilizing the method provided by the present invention, the accuracy and interpretability of airspace operational situation assessment can be aimed at large-scale, high-dimensional sectoral operational data, and the accuracy and interpretability of airspace situation assessment can be optimized by using a multi-objective immune optimization algorithm , In addition, when implementing the immune algorithm, it avoids the exponential growth of the size of the fuzzy matrix when dealing with high-dimensional data, greatly reduces the time complexity and space complexity required by the algorithm, and improves the convergence accuracy.

Description

technical field [0001] The invention belongs to the technical field of airspace situation assessment and classification, and in particular relates to a fuzzy reasoning-based airspace operation situation assessment and classification method. Background technique [0002] With the rapid development of my country's air transport industry, the volume of aviation business is increasing day by day, the number of flights is increasing year by year, and the airspace operation situation is becoming more and more complicated. These situations make the workload of air traffic controllers and the risks of flight operations continuously increase, and thus become an important reason for flight delays and control accidents. [0003] In the current air traffic management system, a sector is the basic unit of airspace for controllers to command aircraft. The complexity of the sector's airspace operation situation is closely related to the workload of air traffic controllers. An overly comp...

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): G06K9/62
CPCG06F18/23G06F18/24317
Inventor 曹先彬杜文博邢家豪朱熙李宇萌
Owner BEIHANG UNIV
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