Operating Cost Integrator for Real-Time Flight Fuel Monitoring
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Solution Overview
Problem
Current systems fail to provide real-time, comprehensive, and transparent monitoring of operating and fuel costs for aircraft flights, especially due to seasonal variations and complex invoicing structures, limiting pilots' ability to make cost-saving decisions.
Innovation Solution
An operating cost integrator integrated into an operating cost app that collects, monitors, and analyzes cost data from multiple service providers, using real-time aircraft performance parameters to calculate actual costs and provide automated invoicing, while accounting for seasonal variations and potential cost savings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple service providers are integrated to provide comprehensive cost data, then cost transparency and completeness are improved, but system complexity increases
Solution Approach 1:
The patent combines multiple service provider interfaces and cost data sources into a single integrated operating cost integrator application. This merger consolidates numerous data streams from different providers into one unified system that automatically collects, normalizes, and processes all cost information, achieving comprehensive cost transparency while managing complexity through integration rather than separate handling of each provider.
Solution Approach 2:
The operating cost integrator is designed as a universal application that can interface with multiple different service providers simultaneously. It performs multiple functions including data collection, cost calculation, seasonal variation adjustment, and automated invoicing within a single platform, allowing the system to handle diverse cost data sources through a common multi-functional interface that reduces overall system complexity.
2Productivity
If real-time monitoring of all cost parameters is implemented, then cost awareness and decision-making capability are improved, but data processing requirements and computational load increase
Solution Approach 1:
The system performs preliminary actions by pre-calculating seasonal variation factors and storing them for quick retrieval. It also pre-establishes cost models and algorithms that automatically process real-time data without requiring heavy computational resources during flight operations. This preliminary preparation of data and calculations reduces the computational load during real-time monitoring while maintaining comprehensive cost tracking capabilities.
Solution Approach 2:
The operating cost integrator implements self-service mechanisms through automated algorithms that independently process cost data, apply seasonal adjustments, and generate invoices without requiring intensive manual or external computational resources. The system serves itself by automatically managing the entire cost monitoring and billing process, reducing the need for additional computational infrastructure while providing real-time cost awareness.
3Productivity
If automated invoicing and billing systems are implemented, then operational efficiency is improved, but system integration complexity increases
Solution Approach 1:
The patent merges the invoicing and billing functions directly into the operating cost integrator application, combining cost data collection, processing, and automated billing generation into a single integrated system. This consolidation eliminates the need for separate billing systems and reduces integration complexity by unifying multiple functions within one application that already has access to all necessary cost data from multiple service providers.
Data Source
AI summary
A method and system for providing cost data via an operating cost app for a flight associated with a flight plan, by a computing device including: obtaining cost data of the flight plan by executing the operating cost app to implement an operating cost integrator application integrated with the operating cost app to interface with a plurality of service providers for retrieving operating cost data of the flight plan from each of the service providers; obtaining, by the at least one processor, real-time aircraft performance parameters affecting the actual cost of the flight including: a landing time and a takeoff time; determining an actual cost of the flight by using software solutions of the operating cost app, and by calculating ground charges at the airport derived from the sensed data by the operating cost app and presenting the actual cost of the ground charge, via a display device for displaying.