UAV Flight Path Rerouting for Signal Loss Landing Decisions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing approaches for determining flight paths for unmanned aerial vehicles (UAVs) are not sufficiently adaptive to changes in circumstances or tailored to the properties of the flying region, leading to suboptimal performance.
Innovation Solution
A system and method that uses processors to identify changes in signal transmission conditions, selecting a destination based on real-time assessments and sensor data, and determining flight paths that include accessible locations, allowing for adaptive route planning in response to changes in signal strength and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing approaches are used for determining flight paths, then the system is simple to operate, but the adaptability to changes in circumstances and environmental conditions is insufficient
Solution Approach 1:
The flight path determination system dynamically adjusts the flight path based on real-time signal transmission conditions and environmental factors. The system transitions from static pre-planned paths to dynamic adaptive routing, where the flight path is continuously optimized based on current signal strength, obstacle detection, and transmission quality assessments.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring signal transmission conditions during flight and using this information to adjust the flight path. The processor receives feedback on signal quality and transmission state, then recalculates and modifies the flight path to maintain optimal signal transmission while avoiding obstacles and unfavorable environmental conditions.
2Adaptability or versatility
If existing approaches are used for determining flight paths, then the system is simple to operate, but the adaptability to regional properties is insufficient
Solution Approach 1:
The system applies local quality by tailoring the flight path to specific regional properties and characteristics of different flight areas. It assesses signal transmission conditions, obstacle distributions, and environmental factors specific to each region, then optimizes the flight path accordingly. Different regions receive customized routing based on their unique properties rather than applying a uniform approach.
Solution Approach 2:
The system performs preliminary assessment of flight regions by evaluating signal transmission conditions, obstacle locations, and environmental factors before finalizing the flight path. The processor pre-calculates potential flight paths considering regional characteristics, allowing the system to adapt quickly when entering specific regions without real-time complexity.
3Reliability
If real-time signal transmission assessment is implemented, then the reliability of flight path determination is improved, but the use of energy increases
Solution Approach 1:
The system implements periodic assessment of signal transmission conditions at key decision points along the flight path rather than continuous monitoring. The processor evaluates signal quality at intervals or at specific locations where path adjustments are most beneficial, reducing computational energy consumption while maintaining reliable flight path determination.
Solution Approach 2:
The system applies partial assessment by focusing computational resources on critical signal transmission parameters and key decision points rather than analyzing all possible variables continuously. It assesses only the most relevant factors for flight path determination, such as signal strength thresholds and obstacle proximity, reducing overall energy consumption while maintaining reliability.
Data Source
AI summary
A method of determining a flight path for an aerial vehicle, includes controlling the aerial vehicle to fly along a first route, identifying, during the flight along the first route and with aid of one or more processors, a change in a state of signal transmission occurring at a first location, in response to identifying the change, determining, by the one or more processors, a second location different from the first location, determining a second route to the second location, and controlling, by the one or more processors, the aerial vehicle to fly to and land at the second location. The change of the state of signal transmission indicates an abnormal state in a signal transmission between the aerial vehicle and a control device.