Network-Aware Flight Route Planning for Aerial Vehicles
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Solution Overview
Problem
Existing flight route planning for aerial vehicles is overly optimistic and does not account for network communication quality, leading to potential deviations and accidents when unmanned aerial vehicles encounter poor network conditions.
Innovation Solution
A method and apparatus that select flight routes based on network communication quality by calculating a total score combining mileage and network coverage rate, with weights applied to prioritize network stability, and avoid areas of network congestion, no-fly zones, and actual poor network quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the flight route is planned based on shortest distance, then the flight efficiency is improved, but the network communication reliability deteriorates
Solution Approach 1:
The patent changes the route selection parameters from solely distance-based to a composite scoring system that incorporates both distance metrics and network coverage quality metrics. This allows the system to evaluate routes based on multiple parameters simultaneously, selecting routes that optimize both flight efficiency and communication reliability through weighted scoring of different route characteristics
Solution Approach 2:
The patent creates a composite evaluation model that combines multiple route attributes (distance, network coverage, signal quality) into a unified route score. This composite approach integrates different quality dimensions into a single decision-making framework, enabling simultaneous optimization of conflicting objectives through weighted aggregation of multiple factors
2Device complexity
If the flight route follows ideal conditions assumption, then the route planning complexity is reduced, but the flight safety deteriorates
Solution Approach 1:
The patent performs preliminary evaluation of network coverage and signal quality along potential flight routes before final route selection. By assessing communication conditions in advance and incorporating them into the route scoring system, the system proactively identifies and avoids routes with poor communication reliability, thereby preventing safety issues before they occur
Solution Approach 2:
The system incorporates real-time and historical network coverage data into the route planning process, creating a feedback mechanism that continuously updates route evaluations based on actual communication conditions. This feedback loop allows the system to adjust route selections dynamically, ensuring both safety and adaptability to changing environmental conditions
Data Source
AI summary
A method, an apparatus and a non-transitory computer-readable storage medium for flight route planning for an aerial vehicle are provided, which generates a plurality of flight routes based on a starting position, an ending position, a total mileage limit, and a minimum network coverage rate. A feature score is given to the total mileage and the network coverage rate of each flight route. A total score is then calculated by using a mathematical relationship between the feature scores for total mileage and network coverage rate. The flight route with the highest total score is determined as the optimal flight route.