Fleet Data Management via Adaptive Channel Selection
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Solution Overview
Problem
Existing fleet communication systems often experience intermittent communication and suboptimal data transfer speeds, leading to potential data loss and delayed transmission of critical information to fleet operators, as they rely on a single communication path and lack adaptation to available channels.
Innovation Solution
A fleet operations data management system with a data collection and distribution network, adaptive reconfigurable instrumentation, and multiple wireless communications channels to determine and utilize the optimal bandwidth for data transfer based on vehicle position and operation phase, ensuring timely and efficient data exchange.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single communication path is used for each vehicle mode of operation, then the system complexity is reduced, but data transmission reliability and completeness deteriorate
Solution Approach 1:
The communication system is segmented into multiple distinct communication paths (satellite communication, terrestrial communication, data link) rather than using a single path. Each path serves specific functions and can be independently selected based on vehicle location and operational requirements, thereby improving reliability without requiring a completely complex unified system.
Solution Approach 2:
The system dynamically selects and switches between different communication paths based on real-time factors such as vehicle location, available infrastructure, and operational mode. This dynamic adaptation allows the system to maintain high reliability by choosing the best available path while avoiding the need for all paths to be simultaneously active, thus managing complexity.
2Ease of operation
If communication occurs at fixed data speeds, then the system operation is simplified, but data transmission efficiency deteriorates
Solution Approach 1:
The data transmission speed is made dynamic rather than fixed. The system automatically adjusts the data transfer rate based on the available communication path characteristics, vehicle location, and data priority. Critical data can be transmitted at higher speeds when conditions permit, while less critical data uses lower speeds, maintaining simplicity from the user perspective while maximizing overall efficiency.
Solution Approach 2:
The communication system changes the data transmission parameter (data speed) based on available resources and requirements. By varying the transmission rate parameter dynamically, the system achieves high efficiency for time-critical data while maintaining operational simplicity, avoiding the need for complex manual configuration.
3Device complexity
If data is transmitted without adaptation to available channels, then the transmission process is simplified, but data loss increases
Solution Approach 1:
The system incorporates feedback mechanisms that continuously monitor the status of communication paths and vehicle conditions. Based on this feedback, the system adapts the data transmission strategy in real-time, selecting appropriate paths and adjusting parameters to prevent data loss. This feedback-driven adaptation maintains simplicity by automating the decision-making process.
Solution Approach 2:
The data transmission process is made dynamic through automatic adaptation to available channels. The system dynamically adjusts transmission parameters and path selection based on real-time conditions, thereby preventing data loss without requiring complex manual intervention or predetermined configurations for every possible scenario.
4Device complexity
If communication is provided without optimization for vehicle location, then the system configuration is simplified, but communication effectiveness deteriorates
Solution Approach 1:
The communication system applies local quality by tailoring the communication parameters and path selection to the specific location and conditions of each vehicle. Instead of using a uniform configuration for all vehicles, the system adjusts data rates, selected paths, and transmission priorities based on local factors such as proximity to ground stations, satellite availability, and local infrastructure, thereby improving effectiveness without requiring overly complex centralized configuration.
Data Source
AI summary
A method and system for fleet operations data management is provided. The system includes a data collection and distribution network configured to distribute operations data to vehicles in a fleet of vehicles and collect vehicle performance data from the vehicles in the fleet of vehicles, the distributed operations data including at least one of travel plans, navigational databases, vehicle operator business data, and passenger information, the collected aircraft performance data including at least one of vehicle body integrity parameters, FADEC performance, CNS/ATM interoperability, and air computing infrastructure characteristics. The system further includes a plurality of wireless communications channels configured to transfer of data between a vehicle fleet operator and a fleet of vehicles, an adaptive, reconfigurable embedded instrument set configured to monitor variable aspects of individual aircraft performance, and a distributed control function configured to identify an appropriate communications channel for data transfer.