UAV Flight Path Recovery Using Reverse Routing and Status Evaluation
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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 regions.
Innovation Solution
A system and method for determining flight paths within an airspace for an aerial vehicle, which involves identifying changes in signal transmission states, selecting destinations based on previous signal transmission states, and determining flight paths using accessible locations detected by onboard sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing approaches for determining flight paths are used, then the flight path determination process is simple, but the adaptability to changes in circumstances and properties of flying regions is insufficient
Solution Approach 1:
The flight path determination system dynamically adjusts flight paths based on real-time signal transmission states and environmental conditions. The system continuously monitors signal quality and automatically recalculates optimal paths, transforming a static routing process into a dynamic adaptive system that responds to changing circumstances without requiring complex manual intervention
Solution Approach 2:
The system implements feedback mechanisms by continuously assessing signal transmission states during flight and using this information to adjust subsequent flight path decisions. The feedback loop monitors signal quality metrics and feeds this information back to the path determination algorithm, enabling adaptive behavior while maintaining manageable system complexity through automated closed-loop control
2Adaptability or versatility
If existing approaches for determining flight paths are used, then the system is simple to operate, but it is not sufficiently tailored to properties of the flying regions
Solution Approach 1:
The flight path determination system performs self-service by automatically characterizing flying regions based on signal transmission properties and autonomously selecting optimal paths tailored to each region's characteristics. The system independently gathers environmental data, processes it to understand region properties, and generates customized flight paths without requiring manual configuration or complex user input, thereby maintaining ease of operation while achieving region-specific optimization
3Adaptability or versatility
If the UAV monitors signal transmission states continuously, then the adaptability to signal changes improves, but the energy consumption increases
Solution Approach 1:
The system employs periodic monitoring of signal transmission states rather than continuous monitoring. It assesses signal quality at regular intervals or at key decision points along the flight path, enabling adequate response to signal changes while significantly reducing energy consumption compared to continuous monitoring. This periodic assessment strategy maintains adaptability by capturing essential signal state changes without the prohibitive energy cost of constant monitoring
Data Source
AI summary
A system of determining a flight path for an aerial vehicle, includes a memory storing a program code, and a processor configured to execute the program code to identify, during a flight, an abnormal state occurring at a first location, in response to the abnormal state, control the aerial vehicle to fly along a first flight path from the first location to a first destination, after the aerial vehicle arrives at the first destination, evaluate a status of the aerial vehicle at the first destination to obtain an evaluation result, and based on the evaluation result, determine a second flight path of the aerial vehicle to a second destination. The first flight path is a reverse of a last flight path of the aerial vehicle before the aerial vehicle reaches the first location.