3D Product Data Management for Cross-Stage Attribute Integration
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Solution Overview
Problem
The management of 3D design data generated across various process stages in manufacturing is decentralized, leading to inefficiencies as users in downstream processes face challenges in accessing and utilizing data from upstream stages, hindering work efficiency and product evaluation.
Innovation Solution
A management apparatus that autonomously collects and associates attribute data with 3D shape data, enabling centralized management and integration of data across process stages, allowing users to access and utilize data from other stages for product design and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If 3D design data is managed in a decentralized manner across various process stages, then each stage can independently manage its own data, but users in downstream processes face challenges in accessing and utilizing data from upstream stages
Solution Approach 1:
The patent merges decentralized 3D design data from multiple process stages into a centralized management system. The integration unit combines 3D shape data and attribute data from different stages (design, analysis, manufacturing) into a unified data structure, enabling downstream users to access upstream data efficiently while maintaining organized management of the entire data lifecycle.
Solution Approach 2:
The management apparatus provides universal access to 3D design data across all process stages through a single integrated system. The system serves multiple functions simultaneously: storing 3D shape data, managing attribute data, enabling data integration, and providing retrieval capabilities for users at any stage, replacing multiple separate data management systems.
2Productivity
If attribute data from different process stages is integrated centrally, then work efficiency improves through better data utilization, but the complexity of data integration and management increases
Solution Approach 1:
The patent segments attribute data into category-specific groups (design attributes, analysis attributes, manufacturing attributes) while maintaining centralized management. This segmentation allows the system to handle complex integrated data by organizing it into manageable categories, reducing the operational complexity of data integration while preserving comprehensive data access capabilities.
Solution Approach 2:
The integration unit acts as an intermediary between decentralized data sources and end users. It automatically collects, standardizes, and integrates 3D shape data and attribute data from various process stages, shielding users from the complexity of data integration while enabling efficient data utilization across the product development workflow.
3Loss of information
If data collection is performed autonomously across process stages, then comprehensive data coverage is achieved, but the complexity of automated data collection and association increases
Solution Approach 1:
The management apparatus performs autonomous data collection automatically without requiring manual intervention at each process stage. The system self-services by automatically collecting 3D shape data and attribute data from various stages, associating them with the corresponding 3D design data, and making them available for integration, thereby ensuring complete data coverage while minimizing operational complexity.
Solution Approach 2:
The system implements feedback mechanisms where collected attribute data is automatically associated with 3D shape data based on matching criteria. This feedback loop ensures that data from different stages is properly linked and integrated, maintaining information completeness while automating the complex association process through rule-based matching.
Data Source
AI summary
A management apparatus includes a processor configured to: autonomously collect, even without an instruction from a user, attribute data concerning attributes of a product defined by a three-dimensional shape, in accordance with a collection rule for collecting the attribute data concerning the product, the attribute data being generated in individual process stages before the product is manufactured; associate the collected attribute data with three-dimensional shape data indicating the three-dimensional shape of the product, as attributes of the three-dimensional shape data, in accordance with a superimposition rule which defines association between the three-dimensional shape data and the attribute data concerning the product; and manage the three-dimensional shape data and the attributes of the product.