UAV Obstruction Detection via Segmented Air Traffic Control

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Solution Overview

Problem

The proliferation of Unmanned Aerial Vehicles (UAVs) for various applications poses challenges in air traffic control, including collision avoidance, obstruction detection, and managing flying lanes, as existing systems are inadequate to handle the large number of UAVs and their unique operational requirements, such as flying at low altitudes and varying routes.

Innovation Solution

An air traffic control system utilizing wireless networks to receive and analyze data from UAVs, update obstruction databases, and transmit instructions for safe flight paths, while also managing flying lanes and supporting delivery applications through communication with multiple cell towers and other wireless networks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional air traffic control networks are used for UAVs, then existing infrastructure can be leveraged, but the system becomes inadequate to handle the large quantity of UAVs and their unique operational requirements

Engineering Contradiction:
Improveadaptability to UAV operationsVSAvoidcomplexity of air traffic control system
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The air traffic control system is segmented into multiple Unmanned Aircraft Service Stations (UASS) that each manage specific geographic zones. This segmentation allows the system to handle large quantities of UAVs by distributing control across multiple independent units rather than requiring a single complex centralized system.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces UASS as intermediary components between UAVs and the broader air traffic control network. These intermediaries provide specialized UAV-specific services including obstruction detection, flying lane management, and coordination with conventional air traffic control, thereby adapting the system to UAV operations without requiring complete system redesign.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Adaptability or versatility

If UAVs fly at low altitudes close to ground, then delivery and inspection applications are enabled, but collision with ground obstructions becomes a major risk

Engineering Contradiction:
Improvecapability for delivery and inspection applicationsVSAvoidrisk of collision with ground obstructions
Core Design Contradiction:
Adaptability or versatilityVSObject-affected harmful factors

Solution Approach 1:

The system performs preliminary obstruction detection and flying lane management before UAVs commence operations. UASS identifies potential ground obstructions and pre-plans safe flying lanes that avoid these hazards, allowing UAVs to operate at low altitudes for delivery and inspection applications without exposing them to unnecessary collision risks.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors UAV positions and updates flying lane information in real-time based on detected obstructions. This feedback mechanism allows dynamic adjustment of flight paths to avoid ground obstructions while maintaining low-altitude operational capabilities for delivery and inspection tasks.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS10198953B2Obstruction detection in air traffic control systems for unmanned aerial vehicles
Publication Date: 2019.02.05 METAL RAPTOR INC
  • US10198953B2 patent drawing
  • US10198953B2 patent drawing
  • US10198953B2 patent drawing

AI summary

Obstruction detection and management systems and methods are performed through an Air Traffic Control (ATC) system for Unmanned Aerial Vehicles (UAVs). The obstruction detection and management method includes receiving UAV data from a plurality of UAVs, wherein the UAV data includes operational data for the plurality of UAVs and obstruction data from one or more UAVs; updating an obstruction database based on the obstruction data; monitoring a flight plan for the plurality of UAVs based on the operational data; and transmitting obstruction instructions to the plurality of UAVs based on analyzing the obstruction database with their flight plan.