Drone Route Planning Using Sampling Sections for Flight Duration
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Solution Overview
Problem
Current drones face challenges in commercialization for delivery due to short flight duration and distance, limited weight capacity, and navigation obstacles such as terrain and regulatory restrictions, which hinder efficient and safe operation.
Innovation Solution
A method and system for setting a travel route for drones that considers location and altitude information to optimize flight paths, minimize battery consumption, and avoid obstacles, using sampling sections and traveling ranges to generate route information for efficient and safe operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If drones are used for delivery purposes, then delivery efficiency is improved, but flight duration and distance are limited due to restricted energy sources
Solution Approach 1:
The travel path is divided into multiple sampling sections with different types (first type for flat terrain, second type for inclined terrain). By segmenting the route and applying different traveling ranges to different sections, the drone optimizes battery consumption for each segment, enabling longer overall flight duration while maintaining delivery efficiency.
2Productivity
If drones are used for delivery purposes, then delivery efficiency is improved, but weight capacity for carrying cargo is limited
Solution Approach 1:
The system changes the parameter of traveling range dynamically based on terrain type. For flat terrain (first type sampling section), a first traveling range is applied, while for inclined terrain (second type sampling section), a second traveling range is applied. This parameter adaptation allows the drone to maintain optimal performance with limited weight capacity.
3Reliability
If flight path is controlled to avoid obstacles, then safety is improved, but battery consumption increases due to frequent redirection
Solution Approach 1:
The system performs preliminary classification of sampling sections into different types based on terrain characteristics before the drone executes the flight path. By pre-defining traveling ranges for different terrain types and obstacles, the drone can navigate safely without frequent mid-flight redirections, thereby reducing battery consumption while maintaining flight safety.
4Adaptability or versatility
If altitude changes are made to avoid obstacles, then navigation capability is improved, but battery consumption increases due to redirection
Solution Approach 1:
The system dynamically adjusts the traveling range based on the type of sampling section (flat or inclined terrain). This dynamic adaptation allows the drone to maintain optimal navigation capability across varying terrain conditions while minimizing unnecessary altitude changes and redirections, thereby reducing battery consumption.
Data Source
AI summary
Disclosed are a method and system for operating an unmanned delivery device. One embodiment of the method includes setting at least one sampling section with respect to a travel path to a destination of at least one delivery item, determining a type of the sampling section based on location information and altitude information of the sampling section, setting a traveling range including the at least one sampling section based on the type of the sampling section, generating route information including the at least one traveling range, and providing the route information to the unmanned delivery device.