Event-Driven Burst-Mode Aircraft Data Reporting
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Solution Overview
Problem
Current aircraft monitoring systems fail to provide real-time data from on-board recording devices during non-nominal or hostile conditions, making it difficult to determine the cause of aircraft deviations or crashes, as communication systems are compromised, and data can only be retrieved after recovery.
Innovation Solution
An event-driven reporting system that includes an internal power supply, transmitter, and information retrieval system, which collects and transmits data from on-board recording devices in burst-mode when a non-nominal or hostile condition is detected, enabling off-board entities to assess the situation and take responsive actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If continuous data transmission is implemented during non-nominal conditions, then information availability improves, but energy consumption increases and system reliability decreases due to communication system compromises
Solution Approach 1:
The system uses periodic sampling of flight data at predetermined intervals and transmits data in periodic bursts triggered by specific events rather than continuous transmission. This reduces energy consumption and avoids communication system compromises while ensuring critical information is captured and transmitted when needed.
Solution Approach 2:
The system pre-loads and stores flight data in onboard memory before transmission is needed. When a triggering event occurs, the already-captured data is immediately transmitted without requiring real-time data collection during the critical event, thus improving information availability while maintaining system reliability.
2Loss of time
If real-time data transmission is implemented during non-nominal conditions, then responsive action capability improves, but energy consumption increases
Solution Approach 1:
The system transmits data in periodic bursts triggered by specific events rather than continuous real-time transmission. This event-driven approach ensures critical information is transmitted promptly when needed while minimizing energy consumption by keeping the system in a low-power state between events.
Solution Approach 2:
The system extracts and transmits only the most critical flight data parameters relevant to non-nominal conditions rather than transmitting all available data in real-time. This selective data extraction reduces energy consumption while maintaining responsive action capability for safety-critical situations.
3Loss of information
If comprehensive data collection from all on-board recording devices is implemented, then information completeness improves, but device complexity increases
Solution Approach 1:
The system divides flight data into separate categorical groups (e.g., flight parameters, cockpit audio, system statuses) from different onboard recording devices. Each data type is collected and stored separately, then selectively transmitted based on the triggering event, reducing overall system complexity while maintaining information completeness.
Solution Approach 2:
The system uses a universal data collection architecture that can handle multiple data types from various onboard recording devices through a single integrated platform. This multi-functional approach simplifies the system by using common hardware and software components to manage diverse data sources rather than requiring separate dedicated systems for each data type.
Data Source
AI summary
The present disclosure is directed to an event-driven reporting system that enables off-board entities, such as on-ground control centers or other aircrafts, to receive information regarding on-board conditions when the aircraft enters into a non-nominal or hostile state. Various embodiments of the disclosure are directed to an event-driven reporting system and method that provide a burst-mode transmission of recorded on-board data to an off-board entity when certain triggering events that indicate non-nominal or hostile aircraft conditions are detected.