UAV Flight Restriction Zone Control Near Airports

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Solution Overview

Problem

Current systems lack effective methods for controlling the flight of unmanned aerial vehicles (UAVs) in proximity to flight-restricted regions, such as airports, to prevent unauthorized access and ensure safety.

Innovation Solution

The system determines the relative location of a UAV with respect to flight-restricted regions by calculating distances and generating flight restriction zones. Based on this information, the system implements flight response measures, such as landing the UAV, providing a time to land, or sending alerts to operators.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If flight restriction zones are implemented to prevent UAVs from entering restricted areas, then safety and compliance are improved, but the complexity of the flight control system increases

Engineering Contradiction:
ImprovesafetyVSAvoidflight control system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system pre-defines flight restriction zones with geographic boundaries and stores them in a database before flight operations. During flight, the UAV simply checks its current location against these pre-established zones rather than performing complex real-time analysis, thereby ensuring safety while maintaining system simplicity

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

A geographic information system (GIS) database serves as an intermediary between the UAV's location data and the flight control logic. The database stores pre-processed restriction zone information, allowing the control system to make compliance decisions through simple database queries rather than complex geometric calculations

Inventive Principle:
Principle #24Intermediary (Mediator)

2Adaptability or versatility

If the system provides multiple flight response options (land immediately, land after time period, alert operator), then adaptability is improved, but the complexity of decision-making logic increases

Engineering Contradiction:
Improveflight response adaptabilityVSAvoiddecision-making logic complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

Different flight responses are assigned to different proximity levels relative to restriction zones. The system creates multiple buffered zones at varying distances from restriction boundaries, with each buffer zone having a specific response type (alert, warning, forced landing). This allows adaptability through spatial differentiation rather than complex decision logic

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system uses distance parameters (buffer zone radii) to determine appropriate flight responses. By changing the proximity parameter, the system automatically selects different response actions without requiring complex decision-making algorithms. The response is determined by which distance threshold the UAV currently satisfies

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If the system calculates real-time distance between UAV and restriction zones, then measurement precision is improved, but the use of computational resources increases

Engineering Contradiction:
Improvedistance calculation precisionVSAvoidcomputational resource consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system pre-calculates and stores the geographic coordinates and boundary definitions of all flight restriction zones in a database before flight operations. During flight, the UAV retrieves these pre-stored zone definitions and performs simple distance calculations against its current GPS position, achieving precise measurement without heavy real-time computational processing

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system creates simplified geometric representations (copies) of complex restriction zone boundaries as polygons with vertices stored in the database. These copied geometric models allow for efficient real-time distance calculations using standard computational geometry algorithms, balancing precision with computational efficiency

Inventive Principle:
Principle #26Copying

Data Source

PatentUS20250124797A1Flight control for flight-restricted regions
Publication Date: 2025.04.17 SZ DJI TECH CO LTD
  • US20250124797A1 patent drawing
  • US20250124797A1 patent drawing
  • US20250124797A1 patent drawing

AI summary

A flight control apparatus includes one or more memories individually or collectively storing computer program instructions, and one or more processors individually or collectively configured to execute the computer program instructions to: obtain a location of a movable object, obtain a location of a flight restriction zone, and control the movable object to take one or more flight response measures based on the location of the movable object and the location of the flight restriction zone. The flight restriction zone includes a flight restriction strip defined by an area encompassed by a first circle, a second circle, and one or more lines connected to the first circle and the second circle.