Timeline Analysis of Network Connectivity for Mobile Vehicle Trip Phases
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Solution Overview
Problem
Monitoring and debugging network communications for mobile vehicles is challenging due to their remote locations and varying environmental conditions, making it difficult to identify timing and causes of coverage lapses and correlate network quality with vehicle operations.
Innovation Solution
A method and apparatus for providing a timeline analysis of network connectivity that correlates network communication metrics with mobile vehicle operational events, displaying a visual timeline representation of both operational events and network metric values to analyze network service usage and quality in the context of specific events and positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network communication services are provided to mobile vehicles in remote locations, then network coverage and service availability are improved, but difficulty in monitoring and diagnosing coverage lapses increases
Solution Approach 1:
The patent introduces a ground-based monitoring system that acts as an intermediary between the mobile vehicle's network terminal and the satellite communication system. This monitoring system receives telemetry data including network performance metrics from the mobile vehicle and correlates them with ground track information, enabling remote diagnosis of coverage lapses without requiring direct access to the vehicle or satellite systems.
Solution Approach 2:
The system implements continuous feedback by monitoring network performance metrics (such as signal strength, data throughput, and connection status) from mobile vehicles and comparing them against expected performance based on ground track position. When deviations are detected, the system generates diagnostic information that feeds back to operators for troubleshooting and system optimization.
2Measurement precision
If network communication services are monitored continuously, then diagnostic capability is improved, but data processing complexity and resource consumption increase
Solution Approach 1:
The patent extracts only the essential network performance metrics and operational parameters from the vast amount of telemetry data generated by mobile vehicles. By selecting specific key indicators (such as signal quality, connection status, and data throughput) rather than processing all available data, the system achieves effective monitoring while reducing computational complexity.
Solution Approach 2:
The monitoring system divides the analysis into discrete time intervals and geographic segments, processing network performance data in manageable chunks correlated with specific portions of the vehicle's ground track. This segmentation allows for efficient processing and storage of monitoring data without requiring analysis of the entire dataset simultaneously.
Data Source
AI summary
Systems and methods for timeline representations of trip phases of a mobile vehicle are described. A method may include receiving operational events associated with a voyage of the mobile vehicle. The operational events may include events such as take-off, landing, door open, door closed, engine started, or other types of operational events. Each operational event may have a corresponding event time at which the event occurred or was detected. The method may include receiving network metric values for network communication metrics associated with a network service on the mobile vehicle. Each network metric value may have a corresponding value time at which the metric was measured or detected. The operational events and network communication metrics may be displayed in a time-aligned manner on a timeline representation over a time range indicated by a user.