Centralized Aircraft Performance Server Architecture
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Solution Overview
Problem
The current dispersed and multiple architecture of aircraft piloting systems leads to redundancy in data and computations, resulting in increased workload, inconsistent results, and redundant development and validation processes across different systems.
Innovation Solution
A centralized performance functions server that hosts all performance data and computations, providing consistent results to all connected computers and allowing for efficient development and validation, while enabling the reuse of existing functions for new developments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a dispersed and multiple architecture is used with each computer having its own performance database and computation modules, then each system can be developed and validated independently, but this leads to redundancy of data and computations across different systems
Solution Approach 1:
The patent merges all performance databases and computation modules into a single centralized server that serves multiple client computers. This eliminates the redundancy of having separate performance data and algorithms in each computer, while still allowing independent development and validation of client systems. The centralized architecture consolidates the performance computation resources into one location that can be shared across the entire aircraft system.
2Productivity
If each computer hosts its own performance functions, then systems can be developed independently, but this results in redundant development and validation work across multiple computers
Solution Approach 1:
By consolidating all performance functions into a single server, the patent eliminates the need for multiple independent validation cycles. The centralized server undergoes validation once, and this validation applies to all client computers that access the server's performance data and algorithms. This significantly reduces the time and effort required for redundant validation work while maintaining independent development capabilities for client systems.
3Adaptability or versatility
If performance data and computations are distributed across multiple computers, then each system can be optimized for its specific function, but this leads to inconsistency in results for the same parameter across different systems
Solution Approach 1:
The centralized server ensures that all client computers access the same performance data and algorithms, guaranteeing consistency in computation results for the same parameters. The server maintains a single source of truth for all performance computations, eliminating discrepancies that arise from having multiple independent implementations. Client systems can still be optimized for their specific functions while relying on the centralized server for consistent performance data.
4Device complexity
If a computer's resources are saturated, then new functions cannot be installed, but this necessitates duplicating or redeveloping functions in another computer
Solution Approach 1:
The centralized performance server provides universal access to performance computation resources for all client computers in the system. Instead of each computer needing its own complete set of performance functions, all systems share the same centralized resources. This allows new functions to be added to the centralized server without requiring additional resources in individual client computers, thereby maintaining system adaptability while avoiding resource saturation issues.
Data Source
AI summary
A piloting system including a performance functions server which is linked to all the computers of the piloting system, which hosts all the performance functions of the piloting system and which is able to supply the results of performance functions to at least said computers of the piloting system.