Digital Mockup Data Segmentation for Aircraft Processing
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Solution Overview
Problem
Processing and visualizing large-scale digital mockups with numerous components and product structures in industries like aircraft is challenging due to capacity limitations, leading to difficulties in managing and retrieving comprehensive information, as conventional systems struggle to handle the extensive data sets required.
Innovation Solution
The method involves separating product data elements into geometry and meta data elements, assigning them to respective structures, and linking these structures with a communication protocol for bidirectional interaction, allowing for improved performance and information retrieval while maintaining comprehensive data integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional systems process large-scale digital mockups with numerous components, then comprehensive information is preserved, but processing performance deteriorates due to capacity limitations
Solution Approach 1:
The patent divides the digital mockup data into separate geometry data elements and meta data elements, organizing them into distinct geometry structures and meta structures. This segmentation allows independent processing of each data type, improving system performance while preserving all comprehensive information through structured organization and communication protocols.
2Reliability
If geometry data and meta data are processed together in a single structure, then data integrity is maintained, but processing efficiency deteriorates due to increased data complexity
Solution Approach 1:
The patent separates geometry data elements from meta data elements into distinct data structures, reducing the complexity of individual structures while maintaining overall data integrity through defined communication protocols that ensure consistent interaction between the separated components.
Solution Approach 2:
The patent introduces communication protocols as intermediaries between the geometry structure and meta structure, enabling coordinated data processing and ensuring data integrity without requiring the entire dataset to be processed simultaneously, thus reducing structural complexity.
3Loss of information
If all product data elements are processed simultaneously, then comprehensive information is retrieved, but processing time increases due to the large volume of data
Solution Approach 1:
The patent enables selective processing of geometry data and meta data through separate structures, allowing the system to process only the necessary data elements at any given time rather than all data simultaneously, thereby reducing processing time while maintaining the capability to retrieve comprehensive information when needed.
Solution Approach 2:
The patent organizes data into pre-structured geometry and meta structures with defined communication protocols, enabling efficient data retrieval and processing by eliminating the need to parse and organize raw data during processing operations, thus reducing processing time.
Data Source
AI summary
The present invention describes a method for improving the performance in developing an interprocess digital mockup. Product data elements are compiled from a digital mockup, wherein the product data elements contain geometry data elements and meta data elements. The geometry data elements are addressed and assigned to a geometry structure (2). The meta data elements are addressed and assigned to a meta structure (1). The geometry structure (2) and the meta structure (1) are subsequently linked by a communication protocol (3) such that bidirectional interaction between the geometry structure (2) and the meta structure (1) is realized.