Airspace Network Optimization for Flight Normality
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Solution Overview
Problem
The rapid growth of the civil aviation industry has led to a significant increase in flight delays due to insufficient airspace resources, despite efforts by air traffic management departments to manage demand and ensure safety, as existing approaches fail to fundamentally address the issue of limited airspace service capacities.
Innovation Solution
An airspace network optimization method based on a flight normality target is introduced, which involves preparing basic data, analyzing flight operation efficiency, calculating the necessary airspace expansion, and generating an optimization solution to enhance service capacity, thereby reducing flight delays and improving operational normality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If airspace service capacity is expanded, then flight normality is improved, but device complexity and planning difficulty increase
Solution Approach 1:
The airspace network is segmented into multiple airspace units with distinct capacity parameters. Each unit's capacity is independently optimized based on local traffic demand, allowing granular control over the complex system while improving overall flight normality through targeted capacity expansions.
Solution Approach 2:
The patent introduces a new optimization dimension by incorporating flight normality as a target parameter alongside traditional capacity metrics. This multi-dimensional approach enables simultaneous optimization of capacity utilization and flight operation normality, resolving the contradiction between improving reliability and managing system complexity.
2Loss of time
If airspace service capacity is expanded, then flight delays are reduced, but loss of substance and resource consumption increase
Solution Approach 1:
Instead of uniformly expanding capacity across all airspace units, the patent applies partial action by identifying and optimizing only those units where capacity expansion most directly reduces flight delays. This targeted approach minimizes unnecessary resource consumption while achieving the primary goal of reducing flight delays in critical areas.
Solution Approach 2:
The optimization model dynamically adjusts capacity parameters of airspace units based on traffic demand patterns and flight normality requirements. By changing capacity parameters selectively rather than uniformly, the system reduces flight delays in high-demand areas while avoiding excessive resource consumption in low-demand regions.
3Productivity
If comprehensive airspace optimization is performed, then flight operation efficiency is improved, but calculation complexity and data processing requirements increase
Solution Approach 1:
The comprehensive optimization problem is segmented into smaller sub-problems by dividing the airspace into discrete units with specific capacity parameters. This segmentation allows the complex optimization to be broken down into manageable calculations for each unit, improving flight operation efficiency through systematic optimization while reducing overall computational complexity.
Solution Approach 2:
The patent transforms the complex optimization problem into a parameter-driven model where capacity parameters of airspace units are adjusted to optimize flight operation efficiency. By focusing on key parameters rather than entire flight plans, the system achieves comprehensive optimization with reduced computational complexity and data processing requirements.
Data Source
AI summary
An airspace network optimization method based on a flight normality target is capable of comprehensively considering spatial and temporal distribution of national air traffic demands, a service capability of an airspace network and a capacity increase limit of each airspace unit according to the flight normality optimization target on the basis of carrying out pre-analysis on a flight operation efficiency under a current airspace service capability, to position a key problem airspace and generate a capacity expansion suggestion of the related airspace; and aims at improving the flight operation efficiency by expanding the airspace service capability, and providing technical support for a user to carry out analysis and optimization work of national airspace network problems at a strategic level.