Air Mobility Route Guidance with Node Costs for Weather Rerouting
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Solution Overview
Problem
Current air mobility systems lack the capability to dynamically adjust flight routes in real-time based on changing atmospheric and communication conditions, leading to potential adverse factors affecting flight operations.
Innovation Solution
An apparatus and method for guiding a flight route of an air mobility, utilizing a communication device and a processor to calculate costs between nodes in an airspace based on flight environment information, determining optimal departure and arrival nodes, and adjusting the flight route to minimize cost and reduce flight time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed specified route is used for air mobility flight, then route simplicity and ease of operation are maintained, but the system cannot respond to real-time weather changes and communication conditions, leading to reduced reliability and increased loss of time
Solution Approach 1:
The patent implements dynamic route guidance by continuously calculating optimal flight routes based on real-time weather data and communication conditions. The system dynamically adjusts the flight path of air mobilities by recomputing routes using updated environmental parameters, transforming a static route system into an adaptive one that responds to changing conditions.
Solution Approach 2:
The system incorporates feedback mechanisms by monitoring real-time weather changes and communication status, then using this information to recalculate and adjust flight routes. The continuous loop of collecting environmental data, computing optimal paths, and updating flight instructions ensures the system adapts to current conditions while maintaining operational reliability.
2Adaptability or versatility
If real-time weather-based route adjustment is implemented, then flight safety and adaptability improve, but computational complexity and system resource requirements increase
Solution Approach 1:
The patent segments the airspace into discrete nodes and defines flight routes as sequences of these nodes. This segmentation allows the complex continuous navigation problem to be broken down into discrete decision points, where the system evaluates transitions between specific nodes based on weather conditions, reducing computational complexity while maintaining adaptability.
Solution Approach 2:
The system changes key parameters such as wind speed, wind direction, and communication quality to recalculate optimal routes. By focusing calculations on these specific environmental parameters and their impact on flight time and safety, the system achieves weather-based adaptability without requiring complex analysis of all possible flight variables.
3Loss of time
If traditional route planning is used, then system simplicity is maintained, but flight time increases due to inability to optimize for current weather conditions
Solution Approach 1:
The system performs preliminary route calculations by pre-computing optimal paths based on current weather conditions before the air mobility departs. This preliminary optimization ensures that the flight route is already optimized for minimal flight time under current environmental conditions, reducing actual flight time without requiring complex real-time adjustments during flight.
Solution Approach 2:
The patent replaces manual or mechanical route planning with automated computational algorithms that calculate optimal flight paths. This substitution of automated information processing for traditional mechanical navigation methods enables real-time optimization of flight routes based on weather data, significantly reducing flight time while managing computational complexity through algorithmic efficiency.
Data Source
AI summary
An embodiment apparatus includes a communication device for communicating with first and second air mobilities, one or more processors for guiding a flight route of the second air mobility based on flight environment information obtained by the first air mobility, and a non-transitory storage device storing a program to be executed by the one or more processors, the program including instructions to determine a cost between an arbitrary source node set in an airspace and a neighboring node adjacent to the source node based on the flight environment information, determine departure and arrival nodes among the plurality of nodes based on flight information of the second air mobility scheduled to fly in the airspace for which the cost is calculated, and determine the flight route of the second air mobility to minimize a sum of the cost between transit nodes connecting the departure and arrival nodes.