UAV Flight Path Control With Real-Time Waypoint and Supply Routing
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Solution Overview
Problem
Current UAV flight planning systems lack the ability to dynamically adjust flight paths in real-time to account for obstacles, environmental changes, and power supply needs, limiting their operational efficiency and flexibility.
Innovation Solution
The system provides methods and media for planning and adjusting UAV flight paths over a surface, considering multiple flight sections, obstacle avoidance, environmental adaptations, and power supply management, using a processor to identify and adjust flight paths accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed flight path is planned for the aircraft, then the flight planning is simple and straightforward, but the system cannot adapt to obstacles, environmental changes, or power supply needs during operation
Solution Approach 1:
The flight path is transformed from a static, pre-planned route to a dynamic, adjustable trajectory. The system continuously monitors obstacles, environmental conditions, and power levels, then recalculates and adjusts the flight path in real-time to adapt to changing conditions while maintaining operational efficiency.
Solution Approach 2:
The system implements continuous feedback loops by monitoring environmental sensors, power consumption metrics, and obstacle detection data during flight. This feedback drives real-time flight path adjustments, allowing the aircraft to respond to changing conditions while the planning system learns and optimizes future route calculations.
2Reliability
If the flight path is adjusted in real-time to account for obstacles and environmental changes, then operational safety and efficiency improve, but the computational complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary risk assessments and identifies potential hazards before the aircraft reaches critical decision points. By pre-calculating safe alternative routes and preparing contingency plans in advance, the system reduces the computational burden during real-time emergency responses while maintaining high safety standards.
Solution Approach 2:
The flight path is divided into multiple segments with designated decision points where real-time adjustments are evaluated. This segmentation allows the system to process and respond to changes in manageable portions rather than requiring complete recalculation of the entire flight path, reducing computational complexity while maintaining safety.
3Productivity
If multiple aircraft are coordinated to operate over the same surface, then operational productivity increases, but the complexity of coordinating actions and managing interactions between aircraft increases
Solution Approach 1:
Multiple aircraft coordination is merged with individual flight planning functions into a unified system. The same flight path planning and adjustment algorithms that manage single aircraft operations are extended to handle multi-aircraft scenarios, allowing seamless integration of coordination requirements without adding separate complex management layers.
Solution Approach 2:
The flight planning system is designed with universal functions that can handle both single-aircraft and multi-aircraft operations using the same core algorithms. The system automatically adapts its coordination mechanisms based on the number of aircraft involved, providing scalable productivity improvement without proportionally increasing system complexity.
Data Source
AI summary
A method for supporting aerial operation includes obtaining a real-time location of an aircraft, obtaining a location of a supply station, obtaining a location of a next waypoint, and controlling the aircraft based on a status parameter related to a flight status of the aircraft associated with the real-time location of the aircraft. Controlling the aircraft includes controlling, in response to the status parameter satisfying a first preset condition, the aircraft to fly to the next waypoint; and controlling, in response to the status parameter satisfying a second preset condition, the aircraft to fly to the supply station.