Manufacturing Machine Control Using Feature-ID Data Association
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Solution Overview
Problem
Existing manufacturing data storage systems are inefficient as they associate manufacturing data with part IDs, making it difficult for users to retrieve relevant data about specific features across different parts.
Innovation Solution
A computer-implemented method and system that associate manufacturing data with feature IDs (FIDs) instead of part IDs, allowing for efficient storage and retrieval of manufacturing data based on feature-specific information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manufacturing data is associated with part IDs, then data storage is straightforward, but data retrieval for specific features across different parts becomes difficult and inefficient
Solution Approach 1:
The patent segments the part ID into multiple feature IDs (FIDs), each representing a specific feature of the part. This segmentation allows manufacturing data to be associated with individual features rather than the entire part, enabling efficient retrieval of feature-specific data across different parts while maintaining the organizational structure needed for data storage
2Loss of information
If manufacturing data is stored by part ID, then storage structure is simple, but designers and production managers cannot easily access feature-specific manufacturing data for decision-making
Solution Approach 1:
The patent introduces feature IDs (FIDs) as an intermediary between part IDs and manufacturing data. The FID acts as a mediator that links specific features to their corresponding manufacturing data, enabling detailed feature-specific information retrieval without requiring a completely complex reorganization of the storage system. The controller manages the mapping between FIDs and part IDs, providing an efficient intermediary layer
3Productivity
If traditional part ID-based data association is used, then system structure is maintained, but statistical representation of manufacturing processes is limited
Solution Approach 1:
By segmenting part-level data into feature-level data through FIDs, the system enables comprehensive statistical analysis of manufacturing processes. Each feature's manufacturing data can be independently analyzed and aggregated, providing detailed statistical representation of manufacturing variations, process quality, and performance metrics across different parts and features
Data Source
AI summary
The method can include at a controller, controlling a manufacturing machine to perform a manufacturing process step for a given feature of a plurality of features of a part, including executing instructions causing the manufacturing machine to perform the manufacturing process step, the instructions comprising an identifier of the given feature and a definition of the manufacturing process step to be executed in relation to the given feature; at the controller, during the manufacturing process step, generating manufacturing data from the manufacturing process step; and by the controller, associating the manufacturing data to the identifier of the given feature in a non-transitory memory.