Wireless UAV Route Control for Reversible Delivery Flight Paths

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Solution Overview

Problem

The proliferation of Unmanned Aerial Vehicles (UAVs) for package delivery poses challenges in air traffic control due to the sheer quantity of drones, requiring efficient communication and management systems to prevent collisions and ensure safe operation within existing airspaces.

Innovation Solution

A drone air traffic control system utilizing wireless networks to communicate with UAVs, manage flight paths, detect and avoid obstructions, and switch between wireless networks during outages, enabling autonomous or semi-autonomous management of UAVs for package pickup and delivery while ensuring safety and efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the existing National Airspace System (NAS) air traffic control network is used for UAVs, then the UAVs can operate within established air traffic infrastructure, but the system becomes impractical due to the sheer quantity of UAVs that need to be managed

Engineering Contradiction:
Improveair traffic control reliabilityVSAvoidair traffic control system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The air traffic control system is segmented into multiple Unmanned Aircraft Service Stations (UASS) that each manage specific geographic regions or groups of UAVs. This segmentation allows the overall system to handle large quantities of UAVs by distributing control responsibilities across multiple independent stations rather than overwhelming a single centralized NAS system.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

A dedicated UAV air traffic control network acts as an intermediary between the existing NAS and the large fleet of UAVs. This intermediary layer translates and adapts NAS protocols for UAV-specific needs while managing the sheer volume of UAV communications, preventing direct overload of the NAS infrastructure.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If drones are used for package delivery applications, then delivery efficiency and speed are improved, but collision risk and air traffic management difficulty increase due to the large number of concurrent drones

Engineering Contradiction:
Improvepackage delivery efficiencyVSAvoidcollision avoidance reliability
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The air traffic control system implements continuous feedback loops that monitor UAV positions, velocities, and flight paths in real-time. This feedback enables dynamic adjustment of flight paths and speed commands to maintain safe separations between UAVs, preventing collisions while allowing high-density operations for efficient package delivery.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system dynamically adjusts flight parameters such as speed, altitude, and route for each UAV based on real-time traffic conditions. This dynamic control allows the system to optimize delivery efficiency while maintaining collision avoidance, as UAVs can adapt their flight patterns response to changing traffic density and potential conflict situations.

Inventive Principle:
Principle #15Dynamics

3Extent of automation

If autonomous flight control is implemented for UAVs, then operational efficiency and reduced human intervention are improved, but communication requirements and system reliability challenges increase

Engineering Contradiction:
Improveautonomous flight controlVSAvoidcommunication reliability
Core Design Contradiction:
Extent of automationVSReliability

Solution Approach 1:

The system implements beforehand cushioning by establishing redundant communication channels and pre-planned contingency protocols for autonomous UAVs. Before autonomous operations begin, the system ensures multiple communication paths are available and backup control mechanisms are in place, cushioning against potential communication failures that could compromise autonomous flight reliability.

Inventive Principle:
Principle #11Beforehand cushioning (Prior cushioning)

Solution Approach 2:

The communication system adapts parameters such as transmission power, frequency, and data rate based on operational conditions and UAV autonomy levels. This parameter adjustment optimizes communication reliability for autonomous UAVs, ensuring that control signals and status information are transmitted reliably even in challenging electromagnetic environments or during high-traffic operations.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS11341860B2Drone air traffic control over wireless networks for package pickup and delivery in an order defined by coordinates
Publication Date: 2022.05.24 METAL RAPTOR INC
  • US11341860B2 patent drawing
  • US11341860B2 patent drawing
  • US11341860B2 patent drawing

AI summary

Systems and methods for package pickup and delivery, in an air traffic control system configured to manage Unmanned Aerial Vehicle (UAV) flight in a geographic region, include communicating to one or more UAVs over one or more wireless networks; directing a UAV to pick up a package at a pickup location and to deliver the package to a delivery location, wherein; and directing the UAV to follow an outbound flight path including a plurality of locations to travel to, in a specific order, while outbound to deliver the package, and an inbound flight path including the plurality of locations to travel to, in an order reverse of the specific order, while inbound from delivering the package.