Onboard Voice Keyword Validation for Aircraft Incident Reporting
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Solution Overview
Problem
Current aircraft report systems rely on pre-defined instructions and struggle to provide timely and accurate incident analysis due to the difficulty in locating and analyzing data from Flight Data Recorders (FDR) and Cockpit Voice Recorders (CVR), and they lack anticipatory input to detect urgent scenarios effectively.
Innovation Solution
An onboard reporting system that combines voice data with predefined instructions to detect keywords, validates these keywords before sending reports to a ground station, using a processor and speech recognition technology to associate detected keywords with customized instructions for validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If keyword detection from cockpit voice is added to trigger reports, then anticipatory input and timeliness of reports are improved, but false alarms increase
Solution Approach 1:
The patent introduces predefined instructions as an intermediary validation layer between keyword detection and report triggering. When a keyword is detected in cockpit voice, the system executes associated predefined instructions (such as checking sensor data, system status, or other validation criteria) to confirm whether the keyword represents a genuine incident before triggering a report. This mediator mechanism filters out false alarms while preserving timely detection of real incidents.
Solution Approach 2:
The system performs preliminary validation actions by executing predefined instructions associated with each detected keyword before actually triggering the report. These preliminary actions include checking aircraft sensor data, system status, and other relevant parameters to verify the legitimacy of the keyword detection. This preliminary validation step ensures that only genuine incidents trigger reports, reducing false alarms while maintaining timeliness.
2Reliability
If pre-defined instructions are used to generate reports, then incident analysis data is available, but the system is reactionary and lacks anticipatory input
Solution Approach 1:
The patent merges two previously separate systems: the keyword-based anticipatory detection system and the predefined instruction-based validation system. By combining cockpit voice monitoring with sensor data analysis and predefined instruction execution, the system achieves both early detection (through keywords) and accurate validation (through predefined instructions), eliminating the reactionary nature of the old system while maintaining reliability.
Solution Approach 2:
The system performs preliminary keyword detection and validation before incidents occur by continuously monitoring cockpit voice for safety keywords. When keywords are detected, predefined instructions are executed to validate the situation, enabling the system to trigger reports in advance of actual incidents or at the earliest possible moment, thus transitioning from reactionary to anticipatory operation.
3Loss of information
If FDR and CVR data is used for incident analysis, then comprehensive incident information is obtained, but locating and analyzing the data takes several days
Solution Approach 1:
The system extracts only the essential and relevant information needed for incident analysis by monitoring cockpit voice for specific safety keywords and triggering reports based on these detections. Instead of collecting and analyzing all FDR and CVR data, the system selectively extracts critical information related to safety incidents, significantly reducing analysis time while maintaining data completeness for relevant incidents.
Solution Approach 2:
The system performs preliminary identification and extraction of critical incident information through continuous cockpit voice monitoring and keyword detection. By identifying potential incidents in real-time and extracting only the relevant data associated with detected keywords, the system prepares incident information in advance, eliminating the need for time-consuming post-incident data retrieval and analysis of entire FDR/CVR datasets.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the timeliness, accuracy, and availability of reports, improving aircraft safety by reducing false alarms and enabling earlier detection of potential incidents.
Implementation Method 1
converting the audio data into voice data
Data Source
AI summary
A method and system for an onboard reporting system capable of detecting keywords in voice data and considering the keywords in combination with respective predefined instructions is provided. The provided system uses, for each keyword, predefined instructions to validate the keyword prior to sending a report.