Drone Data Aggregation System for Weight Reduction
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Solution Overview
Problem
Current flight recorder systems for drones are weight-intensive due to the need for multiple sensors, which is critical for smaller aircraft, and data from various sources is often scattered and not readily accessible for thorough analysis of flight events.
Innovation Solution
A method and system for aggregating log data and event-related data into a single event stream, synchronizing and combining data from various sources, including user logs, sensor data, and external conditions, to provide a comprehensive view of mission events, allowing for real-time or post-event analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If flight recorder devices and additional sensors are added to record flight data, then data recording capability is improved, but weight of the aircraft increases
Solution Approach 1:
The patent extracts the flight data recording function from the physical drone by using a separate ground-based computer system. The drone transmits data wirelessly to the ground system, which performs all recording and analysis functions. This eliminates the need for heavy onboard flight recorders and sensors, directly resolving the weight contradiction while maintaining data recording capability.
2Loss of information
If data is collected from multiple separate sources, then comprehensiveness of flight analysis is improved, but accessibility and ease of analysis deteriorates
Solution Approach 1:
The patent merges multiple separate data sources (telemetry data, sensor data, video data, audio data) into a single unified ground-based system. This consolidation allows technicians to access and analyze all flight data from one centralized location, improving ease of analysis while maintaining the completeness of data from multiple sources.
Solution Approach 2:
The ground-based computer system acts as an intermediary that receives, synchronizes, and integrates data from multiple sources. This intermediary function enables comprehensive data collection while simplifying the analysis process by presenting unified, organized data to technicians rather than requiring them to manually correlate data from separate systems.
Data Source
AI summary
Techniques described herein include a system and method for aggregating multiple data streams related to a drone mission event into a single data stream. In this disclosure, a service provider may receive multiple data streams from various data sources in either real time, post facto, or a combination of the two. The data streams may be synchronized and combined using multiplexing techniques. Additionally, one or more observers are provided with the capability to append log entries to the data streams at particular time markers. In some embodiments, the time markers associated with a log entry may be updated at a later time to more accurately reflect events.