Multi-dimensional Aircraft Collision Risk Evaluation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current aircraft collision risk evaluation systems are limited to lateral calculations, failing to account for dynamic aircraft operations in all directions, which can lead to incomplete safety assessments as collisions can occur in any direction.
Innovation Solution
A multi-dimensional aircraft collision risk evaluation system is developed, calculating probabilities of overlap in three dimensions (X, Y, Z axes) using model size parameters, distances, and standard deviations of yaw distances, and determining collision probabilities in all directions to provide a comprehensive safety evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If lateral collision risk calculation is used, then the calculation process is simple, but the safety assessment is incomplete because it does not account for collisions in all directions
Solution Approach 1:
The patent transitions from a one-dimensional lateral collision risk calculation to a three-dimensional collision risk evaluation system. It introduces longitudinal and vertical dimensions in addition to the lateral dimension, creating a comprehensive spatial model that accounts for collisions in all directions. This dimensional expansion directly resolves the contradiction by making the safety assessment complete while accepting increased calculation complexity.
Solution Approach 2:
The patent segments the collision risk calculation into three independent dimensional components: lateral collision risk, longitudinal collision risk, and vertical collision risk. Each dimension is calculated separately using its own probability density function and then integrated to form the overall collision risk assessment. This segmentation approach manages the complexity by breaking down the three-dimensional problem into manageable one-dimensional sub-problems.
2Measurement precision
If EVENT model is used for collision probability calculation, then statistical data can be utilized, but a large amount of statistical data is required which increases data requirements
Solution Approach 1:
The patent changes the fundamental parameters of the collision risk model from requiring extensive historical statistical data to using real-time aircraft state parameters such as position, velocity, and trajectory. By parameterizing the probability density functions with current flight data rather than historical averages, the system achieves accurate collision probability calculation with minimal data requirements.
Solution Approach 2:
The patent establishes probability density functions and collision risk models in advance based on theoretical aerodynamic and flight mechanical principles. These pre-established models can then be applied immediately to real-time data without requiring extensive statistical analysis or historical data collection, thus reducing data requirements while maintaining measurement precision.
Data Source
AI summary
A multi-dimensional aircraft collision risk evaluation system in the field of collision prediction for civil aviation aircraft is disclosed. The system calculates probabilities of overlapping between an aircraft and one or more other aircraft in three dimensions; calculates loss interval rates of the aircraft in three dimensions; obtains probabilities of collision between the aircraft in directions corresponding to the three dimensions; compares the probabilities of collision in the three dimensions of the aircraft to obtain a maximum probability and a dimension corresponding to the maximum probability; and calculates a difference value between the maximum probability and a safety standard, and making or giving a safety evaluation according to the difference value. Accordingly, the calculation of the multi-dimensional aircraft collision risk probability is realized. The maximum collision risk probability is calculated, and a determination criterion for a comprehensive safety evaluation of the aircraft is provided based on the maximum collision risk probability.


