Aircraft Wireless Connectivity Boundary Determination
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for managing wireless IP link connectivity in aircraft are inefficient, as airlines lack traceability of connectivity issues, leading to difficulties in determining whether problems arise from the aircraft or airport infrastructure.
Innovation Solution
A computer-implemented method and system that collate network file server (NFS) logs and geolocation data to determine wireless connectivity boundaries within airports, enabling better management of IP links and data offload operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If airlines manually manage wireless IP link connectivity without automated analysis, then operational simplicity is maintained, but traceability of connectivity issues is lost and problem identification becomes difficult
Solution Approach 1:
The patent introduces an automated connectivity boundary determination system that acts as an intermediary between the aircraft wireless connectivity system and the airport infrastructure. This system collects NFS logs, geolocation data, and connectivity metrics, then processes them to determine connectivity boundaries and provide traceability information, eliminating the need for manual analysis while preserving operational simplicity
Solution Approach 2:
The system implements feedback by continuously collecting and analyzing connectivity performance data from multiple sources (NFS logs, geolocation, connectivity metrics) and using this information to automatically determine connectivity boundaries. This feedback loop enables traceability of connectivity issues without requiring complex manual intervention
2Measurement precision
If comprehensive data collection and analysis is implemented to determine connectivity boundaries, then connectivity performance insights are improved, but data processing complexity increases
Solution Approach 1:
The patent segments the data collection and analysis process into distinct functional modules: NFS log collection, geolocation data collection, connectivity metric collection, data processing, and boundary determination. This segmentation enables comprehensive data analysis while managing system complexity through modular architecture, where each component handles a specific aspect of the overall measurement task
Data Source
AI summary
Determining aircraft wireless connectivity is provided. The method comprises collating network file server (NFS) logs from a number of missions for an aircraft at a number of airports and collating geolocation data of the aircraft at the airports during the missions. The NFS logs are parsed for wireless connectivity performance metrics, and the wireless connectivity performance metrics are cross-referenced with the geolocation data to determine wireless connectivity boundaries according to location within the airports.