Onboard Weather Update System for Fuel Savings
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Solution Overview
Problem
Current aviation technology faces challenges in achieving in-flight optimization due to limitations in accurate flight plan information, lack of real-time weather support, and restricted systems connectivity, leading to inefficiencies in fuel consumption and time accuracy.
Innovation Solution
A system and method that utilize a processor and non-transitory processor-readable medium to receive and analyze weather data, detect discrepancies between onboard forecast data and real-time weather data, and automatically update the onboard weather data when potential benefits in fuel saving and time accuracy exceed predefined thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time weather updates are continuously transmitted to the aircraft, then weather accuracy is improved, but datalink costs increase and become prohibitive
Solution Approach 1:
The system performs partial weather data updates by comparing forecast weather data with actual weather data and only initiating updates when discrepancies exceed thresholds. This partial action approach avoids continuous full weather model updates, reducing datalink costs while maintaining sufficient weather accuracy for flight optimization
Solution Approach 2:
The system changes the parameter of update frequency from continuous to conditional based on weather error thresholds and benefit assessments. By dynamically adjusting when updates occur based on parameter comparisons (weather errors, fuel savings potential), the system reduces unnecessary datalink transmissions while maintaining accuracy when beneficial
2Loss of time
If weather data is frequently updated during flight, then on-time performance is improved, but fuel consumption increases due to additional datalink usage
Solution Approach 1:
The system implements feedback by continuously monitoring weather errors and comparing them against thresholds, then assessing potential fuel savings before initiating updates. This feedback loop ensures updates only occur when the benefit (improved on-time performance) justifies the cost (fuel consumption for datalink), creating an optimized balance between the two parameters
3Loss of energy
If the onboard weather model uses limited size wind/temperature uplink messages, then datalink bandwidth is conserved, but weather model accuracy deteriorates
Solution Approach 1:
The system transmits only partial weather data corrections rather than complete weather models. By identifying and transmitting only the necessary wind and temperature adjustments that exceed error thresholds, the system maintains weather model accuracy while using minimal datalink bandwidth
Solution Approach 2:
The system extracts only the essential weather parameters (wind and temperature corrections) needed to maintain accuracy, separating these from complete weather model data. This extraction approach allows transmission of minimal data that still achieves the goal of maintaining weather model accuracy within bandwidth constraints
Data Source
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AI summary
A system and method for enhanced vehicle efficiency through smart automation for an onboard weather update is provided. The system comprises a processor, and a non-transitory processor readable medium including instructions, executable by the processor, to perform a method comprising: receiving vehicle data from an onboard vehicle data source; receiving real-time weather data from one or more weather data sources; detecting when onboard forecast weather data is out-of-date or irrelevant based on the vehicle data and the real-time weather data; estimating one or more potential benefits from an update of the onboard forecast weather data; and activating the update of the onboard forecast weather data.