Feature-Based Manufacturing Data Mapping for Part Production
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Solution Overview
Problem
Existing manufacturing data storage systems associate data with part identifiers, making it difficult to retrieve relevant information specific to a feature of a part, limiting the availability and usability of structured information for designers, production managers, and machine learning engines.
Innovation Solution
A system and method that associates manufacturing data with feature identifiers (FIDs) instead of part identifiers (PartIDs), using an associator module to construct feature-based manufacturing data items, and an associator table to match sequence data with feature geometries, enabling more granular data retrieval and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manufacturing data is associated with part identifiers (PartIDs), then data storage is simple and straightforward, but data retrieval specific to features is difficult and inefficient
Solution Approach 1:
The patent segments manufacturing data into two distinct association layers: PartID-level association for general part information and FeatureID-level association for specific feature information. This segmentation allows users to retrieve data at the appropriate granularity level, improving retrieval efficiency for feature-specific queries while maintaining a structured storage system that prevents data redundancy.
Solution Approach 2:
The patent introduces an intermediary data structure (the manufacturing data item with both PartID and FeatureID fields) that mediates between the simple PartID storage system and the complex feature-specific retrieval requirement. This intermediary structure acts as a bridge, allowing the system to maintain simple storage while enabling sophisticated feature-level data access through the dual-identifier approach.
2Loss of information
If manufacturing data is organized by part identifiers, then the storage system remains simple, but structured information availability for designers and production managers is limited
Solution Approach 1:
The patent applies local quality by allowing different levels of data organization within the same storage system. The manufacturing data item structure provides both PartID-level views (for general part information) and FeatureID-level views (for specific feature information), enabling users to access information at the appropriate level of detail based on their specific needs, thereby reducing information loss without requiring complete restructuring.
Solution Approach 2:
The patent adds another dimension to the data organization by introducing FeatureID as a secondary identifier alongside PartID. This dimensional expansion transforms the data structure from a single-dimension (PartID-only) system to a two-dimension system, enabling feature-specific information retrieval while preserving the original part-level organization, thus improving information availability without proportionally increasing complexity.
3Measurement precision
If feature-based data items are constructed with dual identifier association, then feature-specific data retrieval is improved, but the data construction process becomes more complex
Solution Approach 1:
The patent applies preliminary action by pre-establishing the dual-identifier structure in the manufacturing data item before data retrieval operations. The data construction process incorporates both PartID and FeatureID associations upfront, along with sequence data indicating the order of manufacturing process steps. This preliminary structuring enables precise feature-specific data retrieval without requiring complex processing during actual data access operations.
Data Source
AI summary
The system can include a tool module executing a sequence of manufacturing process steps features of a part; a monitoring module generating manufacturing data segments describing the execution of the sequence of one or more manufacturing process steps; an associator module operable to construct one or more feature-based manufacturing data items using i) one or more sequence references indicating an order of the one or more manufacturing process steps in the sequence, and ii) an associator table having one or more feature identifiers of the one or more features associated to corresponding ones of the one or more sequence references, including matching the one or more manufacturing data segments with the one or more feature identifiers based on the one or more sequence references.