Automated Data Exchange for Aircraft Hydraulic System Models
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Solution Overview
Problem
The existing methods for generating models of aircraft systems, such as hydraulic systems, are inefficient in transferring information from design models to analysis programs, leading to increased time and expense in the design and production process due to the tedious and time-consuming process of moving data between different software applications.
Innovation Solution
A computer-implemented method that identifies components and attributes of a hydraulic system using a component model and a repository with performance information, generating a fluid system model for analysis, and performing fluid flow analysis to predict hydraulic pressure surges, thereby facilitating the manufacturing and service of aircraft landing gear systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual data transfer methods are used between design models and analysis programs, then data accuracy can be maintained, but the time and effort required increases significantly
Solution Approach 1:
The patent introduces an intermediary data exchange layer that automatically translates between different software applications' data formats. This mediator enables automated data transfer while maintaining accuracy, eliminating the need for manual copying and reducing time loss.
Solution Approach 2:
The patent replaces manual mechanical data transfer operations with automated computer-based data exchange mechanisms. The system automatically extracts data from design models, translates it to analysis program formats, and loads it without human intervention, thereby reducing time and effort.
2Quantity of substance
If detailed manual data extraction is performed from design models, then data completeness is improved, but the complexity and time consumption increase
Solution Approach 1:
The system performs self-service data extraction where the automated tool independently identifies, extracts, and translates necessary data from design models without requiring user intervention. The system knows what data to extract and how to format it, reducing both complexity and time requirements while maintaining completeness.
Solution Approach 2:
The patent changes the parameters of data extraction from manual, selective copying to automated, comprehensive extraction. The system extracts all necessary data automatically and transforms it into the required formats, improving completeness while reducing complexity through standardization.
3Adaptability or versatility
If multiple software applications are used for design and analysis, then functional versatility is improved, but the difficulty of data interchange increases
Solution Approach 1:
The patent implements a universal data exchange interface that works across multiple different software applications. This multi-functional intermediary can translate between various data formats and communication protocols, enabling seamless data interchange between diverse tools while maintaining their individual functional versatility.
Data Source
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AI summary
A method and apparatus for generating data for analysis from a model for a system. Components in the system are identified using the model for the system. Attributes for the components are identified using the model and a repository having performance information. Data is generated using the attributes. The data is configured for use by a particular analysis application