Drone Repulsion Zone Definition for Airspace Safety
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Solution Overview
Problem
Existing drone repulsion systems are inadequate for ensuring safety in sensitive areas like airfields and flying object operations, as they fail to effectively concentrate repulsion measures within specific airspace regions, leading to potential collisions and damage.
Innovation Solution
Defining a repulsion space as a partial airspace region around protected areas or flying objects, where drone flight control and paths are influenced through detection and targeted repulsion measures, including interfering signals and capture methods, to prevent collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If drone repulsion systems output interfering signals without spatial limitation, then the drone control can be influenced, but the accuracy and effectiveness of repulsion decreases due to lack of concentration on specific threat zones
Solution Approach 1:
The patent applies local quality by defining a specific repulsion zone with spatial boundaries around protected areas, concentrating interfering signals only within this defined zone rather than broadcasting universally. This localized approach increases repulsion effectiveness for threats in critical areas while reducing unnecessary interference elsewhere.
Solution Approach 2:
The patent segments the airspace into protected zones requiring repulsion and non-protected areas. By dividing the operational space into distinct repulsion zones with specific boundaries, the system can apply targeted interfering signals only where necessary, improving both effectiveness and spatial precision.
2Productivity
If drone detection and recognition systems are used without spatial filtering, then more drones can be detected, but false alarms increase due to detection of non-threatening drones in safe zones
Solution Approach 1:
The system applies local quality by differentiating between drones in repulsion zones (where intervention is warranted) and drones outside these zones (where detection alone suffices). This spatial differentiation reduces false alarms by preventing unnecessary responses to drones operating in safe areas while maintaining detection capability for all drones.
Solution Approach 2:
The patent implements dynamic spatial filtering where the repulsion zone boundaries and detection thresholds are adjusted based on the operational context and threat assessment. This dynamic approach allows the system to adapt its response criteria based on real-time situation evaluation, reducing false alarms while maintaining productivity.
3Reliability
If repulsion measures are applied without defined spatial zones, then comprehensive drone coverage is achieved, but energy consumption increases due to continuous broad-area monitoring and signal output
Solution Approach 1:
The patent applies local quality by concentrating repulsion measures and monitoring resources within defined repulsion zones rather than maintaining continuous broad-area coverage. This localized approach reduces energy consumption by activating full repulsion capabilities only when drones are detected within the protected zone, while maintaining surveillance in other areas at lower intensity.
Solution Approach 2:
The system implements periodic activation of high-intensity repulsion signals only when drones are detected within the repulsion zone, rather than maintaining continuous maximum output. This periodic action pattern reduces overall energy consumption while maintaining safety coverage through intermittent but intensive intervention when needed.
Data Source
AI summary
Some embodiments relate to a method for repelling a detectable drone, whose flight control and/or whose drone flight path can be influenced by repulsion measures, wherein a repulsion space is defined as a part of the airspace, and wherein the flight control and/or the drone flight path of a drone located in the repulsion space is influenced.