Network Analysis Terminal for Vehicle Cabin Connectivity Metrics
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Solution Overview
Problem
In-flight entertainment systems face challenges in assessing performance and identifying operational limitations, particularly due to the increasing complexity of various types of vehicle entertainment systems and passenger terminals, which makes it difficult to determine if the systems are functioning acceptably and what is contributing to any problems.
Innovation Solution
A network analysis terminal is introduced that monitors packets between a content server and passenger terminals within the vehicle cabin, identifies passenger terminal identifiers, and generates connectivity metrics to assess passenger connectivity experiences, allowing for non-intrusive monitoring and control of communications to address potential issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of different types of vehicle entertainment systems and passenger terminals increases, then the versatility and service capability improve, but the difficulty of assessing system performance and identifying operational limitations increases
Solution Approach 1:
A network analysis terminal is introduced as an intermediary device that monitors and analyzes network traffic between content servers and passenger terminals. This terminal captures packets, extracts connectivity metrics, and provides centralized performance assessment, thereby resolving the difficulty of evaluating system performance across multiple diverse entertainment systems and passenger terminals without requiring direct inspection of each component.
2Reliability
If network monitoring and control capabilities are enhanced to identify performance limitations, then the system reliability improves, but the complexity of the monitoring system increases
Solution Approach 1:
The network analysis terminal automatically monitors network traffic, extracts connectivity metrics from captured packets, and identifies performance limitations without requiring manual intervention or complex configuration. The system self-configures by analyzing the network topology and automatically tracking passenger terminal identifiers, thereby improving reliability while maintaining relatively simple operational complexity.
Data Source
AI summary
A network analysis terminal is described that operates within a vehicle cabin to generate connectivity metrics. The terminal monitors packets communicated through at least one cabin network between a content server and passenger terminals. The terminal identifies passenger terminal identifiers that are addressed by content of the packets, and identifies names of vehicle passengers associated with the packets using the passenger terminal identifiers as indexes to retrieve the names of vehicle passengers from an information repository that maps names of vehicle passengers to passenger terminal identifiers. The terminal then generates connectivity metrics based on measurements performed on the packets over time and the identified names of the passengers, and controls communications through the at least one cabin network based on the connectivity metrics.