Distributed Drone Air Traffic Control via Segmented Servers
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Solution Overview
Problem
The existing air traffic control systems are inadequate for managing the large number of drones, as they require communication for flight control and cannot scale to handle the sheer quantity of drones, especially when they are autonomous, necessitating new systems and methods for air traffic control and communication.
Innovation Solution
The development of air traffic control systems that utilize wireless networks to manage flying lanes dynamically, integrate real-time weather information, and provide collision avoidance mechanisms, enabling autonomous or semi-autonomous management of drones through multiple wireless networks for efficient flight planning and obstacle avoidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If existing air traffic control network is used for drones, then communication infrastructure is available, but the system cannot scale to handle the sheer quantity of drones
Solution Approach 1:
The patent segments the air traffic control system into multiple distributed drone control servers that can independently manage subsets of drones. Each server handles a portion of the total drone population, allowing the system to scale horizontally by adding more servers rather than requiring a single complex centralized system. This segmentation enables the infrastructure to handle increasing numbers of drones without proportionally increasing overall system complexity.
Solution Approach 2:
The patent introduces a hierarchical dimension to the air traffic control architecture, with multiple levels of control (local control servers, regional controllers, and centralized coordination). This multi-dimensional approach allows the system to manage large numbers of drones by distributing control across different spatial and organizational layers, preventing any single component from becoming a bottleneck.
2Extent of automation
If autonomous drones are deployed, then flight control communication is enabled, but collision avoidance and traffic management become more difficult
Solution Approach 1:
The patent implements continuous feedback loops where autonomous drones report their status, position, and environmental observations to control servers, which then provide corrective guidance. This feedback mechanism allows autonomous drones to maintain awareness of their surroundings and adjust their behavior to avoid collisions, even as the number of autonomous vehicles increases. The system monitors and responds to changing conditions in real-time to maintain safety.
Solution Approach 2:
The patent introduces intermediary control servers that act as mediators between autonomous drones and the overall air traffic management system. These intermediaries coordinate communications, relay critical information, and provide a layer of supervision that enhances collision avoidance without reducing drone autonomy. The intermediaries facilitate safe interactions between autonomous vehicles while preserving their independent operational capabilities.
Data Source
AI summary
Passenger drone air traffic control and monitoring systems and methods implemented by a consolidated system include communicating with an Air Traffic Control (ATC) system which is executed on a plurality of servers, wherein the ATC system is configured to communicate with a plurality of passenger drones in a geographic or zone coverage; consolidating data from the plurality of servers to provide a visualization of a larger geography comprising a plurality of geographic or zone coverages; providing the visualization via a Graphical User Interface (GUI); and performing one or more functions via the GUI for air traffic control and monitoring at any of a high-level and an individual passenger drone level.