Aircraft Data Gateway Classifies and Encrypts Maintenance Records
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Solution Overview
Problem
Aircraft face challenges in quickly and securely transferring large volumes of data generated during flight due to slow or expensive onboard communication systems, necessitating real-time analysis and secure migration of aircraft data.
Innovation Solution
A computer-implemented method using a ground simulator-trained data analysis model that classifies and encrypts aircraft maintenance and operations data using a public/private key pair for secure transmission to a land-based server, employing a data gateway and onboard sensors to identify critical and sensitive data for secure transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If aircraft transfer large volumes of data using onboard communication systems, then data transmission capability is improved, but transmission speed decreases and cost increases
Solution Approach 1:
The system performs preliminary classification of aircraft data into selected and unselected categories before transmission. By pre-processing and filtering data on the aircraft, only critical and sensitive data is prepared for transmission, reducing the overall data volume that needs to be transmitted through the limited-bandwidth onboard communication systems.
Solution Approach 2:
The invention extracts only the critical and sensitive portions of aircraft data for transmission to ground systems. Using classification algorithms and filters, the system separates essential maintenance and operations data from routine data, transmitting only the extracted critical information through onboard communication systems, thereby improving transmission speed while maintaining data security.
2Quantity of substance
If aircraft transfer large volumes of data using onboard communication systems, then data transmission capability is improved, but transmission cost increases
Solution Approach 1:
The system extracts and transmits only critical and sensitive data portions, significantly reducing the total data volume transmitted through expensive onboard communication systems. This selective extraction approach minimizes transmission costs while ensuring that all essential maintenance and operations data are captured and transmitted.
Solution Approach 2:
Data classification and filtering are performed preliminarily on the aircraft before transmission. By pre-processing data to identify and separate critical information, the system reduces the volume of data requiring expensive transmission, thereby lowering overall communication costs while maintaining complete capture of essential data.
3Loss of information
If all aircraft data is transmitted to ground systems, then data completeness is improved, but data security risk increases
Solution Approach 1:
The system extracts and transmits only critical and sensitive data categories, separating essential information from routine data. This selective extraction ensures data security by limiting transmission to only the most important information, while still maintaining completeness of critical maintenance and operations data required for safe aircraft operation.
Solution Approach 2:
Different data categories are treated with different security measures. The system applies enhanced security protocols specifically to critical and sensitive data categories that are transmitted, while routine data remains on-board. This localized security approach ensures that high-value data receives appropriate protection while reducing overall security risk exposure.
4Reliability
If real-time data analysis is performed onboard, then operational safety is improved, but onboard processing complexity increases
Solution Approach 1:
The data analysis function is segmented into onboard classification and ground-based detailed analysis. The onboard system performs initial classification to identify critical and sensitive data, then transmits this classified data to ground systems for comprehensive real-time analysis. This segmentation enables operational safety through ground-based analysis while keeping onboard processing complexity manageable.
Data Source
AI summary
A computer implemented method including: receiving a history database file and a public key of a public/private key pair from an external server; generating aircraft maintenance and operations data using one or more onboard sensors that are configured to sense one or more characteristics of aircraft maintenance and operations systems; classifying the generated aircraft maintenance and operations data as selected data and unselected data based on a comparison of the sensed aircraft maintenance and operations data with stored aircraft maintenance and operations data of a trained aircraft data model; storing the selected data in the received history database file; encrypting the received history database file using the received public key of the public/private key pair to generate an encrypted history database file including selected data; transmitting the encrypted history database file including the selected data to an external server.