Design Information Extraction for MBSE Relationship Mapping
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Solution Overview
Problem
Existing design support technologies struggle to efficiently extract and associate phrases or numerical values related to components, functions, or requirement specifications in complex products, leading to design errors and inefficiencies.
Innovation Solution
A design support apparatus that includes an input unit for acquiring design information, an extraction unit for classifying and extracting relevant phrases or numerical values based on a classification axis, a recognition unit for identifying relationships between extracted items, an association unit for associating these relationships, and an output unit for presenting the results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual methods are used to grasp the influence of design change and understand product characteristics, then design accuracy can be maintained, but design efficiency deteriorates due to the enormous amount of work required
Solution Approach 1:
The patent replaces manual mechanical analysis methods with an automated information processing system that uses natural language processing, classification axes, and relationship recognition algorithms to extract and analyze design information, thereby maintaining accuracy while dramatically improving efficiency
Solution Approach 2:
The patent introduces an automated design support apparatus as an intermediary between design requirements and analysis results, which automatically extracts phrases and numerical values, classifies them using predefined axes, recognizes relationships, and presents analysis results without requiring manual intervention
2Reliability
If the number of target items for association increases to cover all components, functions, and requirement specifications, then the completeness of the model improves, but the number of work steps increases and the process becomes more complicated
Solution Approach 1:
The patent segments the complex association process into distinct automated stages: information extraction, classification using predefined axes, relationship recognition, and result presentation. This segmentation maintains model completeness while reducing process complexity by automating each segment
Solution Approach 2:
The design support apparatus performs self-service by automatically extracting necessary information, classifying it according to predefined axes, recognizing relationships between items, and generating analysis results without requiring manual guidance, thereby maintaining completeness while simplifying the process
3Productivity
If existing natural language processing methods are used to extract requirement specification words, then processing speed improves, but extraction accuracy deteriorates because items related to components and functions are not extracted
Solution Approach 1:
The patent creates a universal extraction system that handles multiple types of information (components, functions, requirement specifications) through a single integrated process using classification axes, maintaining both high processing speed and comprehensive extraction accuracy
Solution Approach 2:
The patent changes the extraction parameters by introducing classification axes with multiple dimensions (component, function, requirement specification) and using co-occurrence analysis with structure-based weighting, which enables accurate extraction of diverse item types while maintaining high processing speed through automated computation
Data Source
AI summary
A design support apparatus includes: an input unit configured to acquire design information related to a target product; an extraction unit configured to extract, based on a classification axis that is a rule for classifying a phrase or a numerical value related to a component, a function, or a requirement specification in the target product and that is stored in a classification axis storage unit, the phrase or the numerical value related to the component, the function, or the requirement specification from the design information; a recognition unit configured to recognize a relationship between the extracted phrases or between the extracted numerical values related to the component, the function, or the requirement specification based on a content structure of the design information and a co-occurrence; an association unit configured to associate the relationship between the phrases or between the numerical values; and an output unit.