Workpiece Identification for Adaptive Measurement Sequencing
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Solution Overview
Problem
Existing measurement technologies face challenges in efficiently and reliably measuring workpieces of different shapes and configurations, as they struggle to adapt measurement sequences effectively, leading to difficulties in quality control during production.
Innovation Solution
A method involving the capture of identification features using a capture device, comparison with database identity information, and determination of tailored measurement sequences for each workpiece or batch, allowing for precise measurement and quality control through the use of coordinate measuring machines, radiation-based devices, or robot measurement devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a fixed measurement sequence is used for quality control, then the measurement process is simple and fast, but it cannot adapt to workpieces of different shapes and configurations
Solution Approach 1:
The measurement sequence is made dynamic and adaptive through automatic identification of workpiece type via capture device, database lookup, and selection of appropriate measurement sequences. The system transitions from static fixed sequences to dynamic configurable sequences that adapt to different workpiece geometries and configurations.
Solution Approach 2:
The system performs self-configuration by automatically identifying the workpiece type through capture device reading, retrieving the corresponding measurement sequence from the database, and executing the appropriate sequence without manual intervention. This eliminates the need for operators to manually select measurement sequences for different workpiece types.
2Measurement precision
If manual selection of measurement sequences is performed for each workpiece type, then measurement accuracy can be ensured, but the operation becomes complex and time-consuming
Solution Approach 1:
The system automatically performs the task of selecting appropriate measurement sequences by reading workpiece identification data, comparing it with database entries, and selecting the correct sequence. This eliminates manual operator intervention while maintaining measurement accuracy through systematic database-driven selection.
Solution Approach 2:
The system uses feedback from the capture device that reads identification features on workpieces to automatically determine which measurement sequence to execute. The identification data serves as feedback that triggers the appropriate measurement protocol, ensuring accuracy without manual input.
3Adaptability or versatility
If multiple measurement sequences are stored and managed for different workpiece types, then adaptability to diverse workpieces is improved, but the device complexity and database management burden increase
Solution Approach 1:
A database serves as an intermediary layer between the capture device and the measurement execution system. The database stores, organizes, and manages multiple measurement sequences, providing a structured interface that simplifies the complexity of handling diverse workpiece types while maintaining high adaptability.
Solution Approach 2:
Instead of implementing complex real-time adaptation logic in the measurement device itself, the system uses copies of measurement sequences stored in a database. Each workpiece type has a pre-defined measurement sequence copy that can be retrieved and executed, reducing device complexity while maintaining versatility.
4Reliability
If quality control is performed on every workpiece in a batch, then reliability of quality assurance is improved, but the production time and productivity are reduced
Solution Approach 1:
The quality control process is segmented into efficient measurement sequences tailored to each workpiece type. By dividing the measurement process into optimized segments based on workpiece characteristics, the system achieves thorough quality checking without uniformly applying lengthy measurement protocols to all workpieces, thus maintaining productivity.
Data Source
AI summary
A method for measuring a workpiece by a measurement device includes capturing an identification feature of a workpiece by a capture device, determining an item of identity information relating to the workpiece, comparing the identity information with identity information relating to a plurality of workpieces from a database which stores the identity information relating to the plurality of workpieces, identifying the workpiece in the database, and/or characterizing the workpiece from the comparison with the database, determining a measurement sequence stored in the database for the identified workpiece, or suggesting features or steps of a measurement sequence for the identified workpiece, and measuring the workpiece in accordance with the measurement sequence in the measurement device.