Drone Telemetry Routing for Beyond-Line-of-Sight Flight Control
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Solution Overview
Problem
Current drone flight management systems require manual planning and line-of-sight operation, limiting the efficiency and flexibility of drone missions, especially in scenarios where real-time navigation and telemetry data processing are needed without maintaining direct visual contact with the drone.
Innovation Solution
A Flight Management System (FMS) that enables the efficient conveyance of telemetry data from drones to control applications through a network infrastructure, allowing for real-time processing, queuing, and display of data via a Graphical User Interface (GUI), enabling autonomous navigation and line-of-sight independent operation by processing and routing telemetry information from drones to user applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual flight planning and line-of-sight control are used, then operational simplicity is maintained, but mission efficiency and flexibility deteriorate
Solution Approach 1:
The patent introduces a Flight Management System (FMS) as an intermediary between the drone and the operator. The FMS receives telemetry data from the drone, processes it through multiple queues (raw telemetry queue, processed telemetry queue), and presents information through a GUI. This intermediary system enables autonomous operation and improves mission efficiency without requiring direct line-of-sight control, while the modular queue-based architecture keeps system complexity manageable.
Solution Approach 2:
The patent segments the telemetry data processing system into distinct queues: a raw telemetry queue for receiving unprocessed data from the drone, and a processed telemetry queue for storing analyzed data. This segmentation allows parallel processing of different data types and enables the system to handle complex missions efficiently without overwhelming a single processing channel.
2Adaptability or versatility
If line-of-sight control is required, then direct operator control is simplified, but operational flexibility and autonomous capability deteriorate
Solution Approach 1:
The patent implements autonomous navigation capabilities where the drone can perform flight missions independently without continuous operator intervention. The drone autonomously transmits telemetry data to the FMS, which processes the data and provides situational awareness. This self-service capability enables operations beyond line-of-sight while maintaining operational simplicity through automated data processing and presentation.
Solution Approach 2:
The patent establishes a feedback loop where the drone continuously transmits telemetry data (position, velocity, battery status) to the FMS, which processes this information and presents it through a GUI to the operator. This real-time feedback enables the operator to monitor and control the drone autonomously without line-of-sight requirements, balancing operational flexibility with ease of control through automated information processing.
3Loss of information
If real-time telemetry processing is implemented, then operational awareness is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The patent divides the telemetry processing system into separate queues: a raw telemetry queue that receives unprocessed data from the drone, and a processed telemetry queue that stores analyzed data. This segmentation allows the system to maintain real-time data availability while managing complexity through modular processing stages, where each queue handles specific aspects of data management independently.
Solution Approach 2:
The FMS acts as an intermediary between the drone's telemetry data and the operator's interface. It receives raw telemetry data, processes it through standardized procedures, and presents meaningful information through a GUI. This intermediary layer ensures complete telemetry data availability for real-time decision-making while shielding the operator from the complexity of raw data processing.
Data Source
AI summary
A device includes a processor. The processor is configured to execute instructions to: receive a request from an application to subscribe to a telemetry messaging service; grant a subscription to the telemetry messaging service, to the application based on the request; receive telemetry messages from drones over a radio access network (RAN); process the telemetry messages; and provide the processed telemetry messages to the application over the RAN.