3D Wind Evaluation for Drone and eVTOL Flight Path Selection
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Solution Overview
Problem
Existing systems for planning flight paths for small aircraft like drones and eVTOLs do not effectively evaluate flight difficulty and economic efficiency, leading to potential degradation of flight paths and inability to select the best option among multiple candidates.
Innovation Solution
An information processing system that includes a wind-condition estimation unit and an evaluation unit to assess flight difficulty and economic efficiency based on estimated wind-condition information, generating three-dimensional evaluation results to determine optimal flight paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a flight path is modified by considering wind vectors measured by unmanned aerial vehicles, then the flight path may be optimized for wind conditions, but there is no evaluation mechanism to ensure the modified path has lower flight difficulty and higher economic efficiency than the initial path
Solution Approach 1:
The patent applies preliminary action by pre-establishing an evaluation system that assesses flight difficulty and economic efficiency before the modified flight path is executed. The evaluation unit calculates these metrics in advance for multiple candidate paths, ensuring the selected path is genuinely optimized rather than potentially degraded.
Solution Approach 2:
The patent implements feedback by creating a closed-loop system where the evaluation unit continuously assesses flight difficulty and economic efficiency of modified paths, and this evaluation information feeds back into the flight path planning process to select the optimal path among multiple candidates.
2Adaptability or versatility
If multiple flight path candidates are generated, then more options are available for optimization, but the system lacks the capability to evaluate and select the best path among them
Solution Approach 1:
The patent introduces an intermediary evaluation unit that acts as a mediator between multiple flight path candidates and the final selection. This evaluation unit calculates flight difficulty and economic efficiency for each candidate, transforming uncomparable path options into evaluated candidates with quantifiable metrics that enable objective comparison and selection.
3Ease of manufacture
If flight paths are planned without evaluating flight difficulty and economic efficiency, then the planning process is simpler, but the resulting paths may be degraded in quality and not optimal
Solution Approach 1:
The patent applies self-service by enabling the flight path planning system to automatically evaluate and optimize its own output. The evaluation unit autonomously calculates flight difficulty and economic efficiency for generated paths and selects the optimal one, making the system self-improving without requiring external intervention.
Data Source
AI summary
In order to achieve the above objects, according to the present invention, an information processing system includes a wind-condition estimation unit that estimates wind-condition information in a predetermined space region, and an evaluation unit that evaluates flight difficulty or economic efficiency of an aircraft based on the estimated wind-condition information. According to the present invention, an information processing method includes estimating wind-condition information in a predetermined space region, and evaluating flight difficulty or economic efficiency of an aircraft based on the estimated wind-condition information.