Airspace operation situation evaluation and classification method based on fuzzy reasoning

A technology of running situation and fuzzy reasoning, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of neglect of model interpretability, lack of interpretability, etc., to reduce the time complexity and space complexity, The effect of improving prediction accuracy and improving convergence accuracy

Active Publication Date: 2018-09-21
BEIHANG UNIV
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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

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  • Airspace operation situation evaluation and classification method based on fuzzy reasoning
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  • Airspace operation situation evaluation and classification method based on fuzzy reasoning

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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 ...

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Abstract

The invention discloses an airspace operation situation evaluation and classification method based on fuzzy reasoning and belongs to the technical field of airspace situation evaluation and classification. The method comprises the following steps: 1, processing airspace operation situation samples in a to-be-processed sector; 2, establishing a primary fuzzy reasoning system based on the airspace operation situation samples in the to-be-processed sector; 3, optimizing interpretability and accuracy of the fuzzy reasoning system on the basis of a multi-target population adaptive immune algorithm.The method provided by the invention can aim at large-scale and high-dimensionality sector operation data and center on airspace operation situation evaluation accuracy and interpretability, the multi-target immune optimization algorithm is used, and the airspace situation evaluation accuracy is optimized. In addition, when the immune algorithm is realized, the condition that the fuzzy matrix scale is in exponential growth in the process of processing high-dimensionality data is avoided, time complexity and space complexity needed by the algorithm are greatly reduced, and the convergence precision is improved.

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...

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Application Information

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Patent Type & Authority Applications(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
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