Automated Test Plan Generation for Dimension-Variant Measurement Objects
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Solution Overview
Problem
The generation of test plans for measuring workpieces is time-consuming and labor-intensive, especially when dealing with groups of similar workpieces that differ only in certain dimensions, requiring frequent adjustments or re-measurement.
Innovation Solution
A method that generates a resultant test plan for a measurement object by assigning it to an object class based on its geometric properties, using an existing object class-specific test plan, which reduces the need for manual input and adapts the test plan to accommodate dimensional differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a test plan is manually created for each measurement object, then measurement precision can be ensured, but time consumption and labor intensity increase significantly
Solution Approach 1:
The system performs preliminary actions by pre-defining object classes with associated test plans before actual measurement objects are processed. When a measurement object arrives, the system automatically matches it to a pre-defined object class and applies the corresponding test plan, eliminating the need for manual test plan creation for each object while maintaining measurement precision through class-specific standardized procedures
Solution Approach 2:
The system changes parameters by adapting the selected test plan to the specific measurement object through parameter adjustment. After matching an object to an object class, the system modifies test plan parameters (such as measurement points, tolerances, and procedures) to match the actual dimensions and characteristics of the specific object, ensuring measurement accuracy while avoiding complete manual test plan recreation
2Measurement precision
If test plans are customized for each unique measurement object, then measurement accuracy is maintained, but device complexity and operational difficulty increase
Solution Approach 1:
The system segments the diverse population of measurement objects into discrete object classes based on shared geometric characteristics. By dividing objects into categories (e.g., cylindrical parts, flat components, complex geometries) and assigning standardized test plans to each class, the system reduces the complexity of managing test plans for every unique object while maintaining accuracy through class-appropriate measurement procedures
Solution Approach 2:
The system implements universality by creating object classes that can represent multiple similar measurement objects with a single test plan. One object class definition can serve numerous different physical objects that share common geometric features, allowing the test plan management system to handle diverse measurement tasks through a unified, standardized approach rather than requiring unique custom plans for each object
3Measurement precision
If manual adjustments are made for dimensional variations in similar workpieces, then measurement accuracy is preserved, but productivity decreases
Solution Approach 1:
The system performs preliminary dimension analysis and object classification before the measurement process begins. By pre-processing objects to identify their geometric characteristics and match them to appropriate object classes, the system eliminates the need for manual dimensional adjustments during measurement execution, thereby maintaining accuracy while significantly increasing measurement throughput
Solution Approach 2:
The system enables self-service by automatically performing the adaptation of test plans to measurement objects without human intervention. The automated object recognition, classification, and test plan selection process allows the measurement system to adjust to dimensional variations independently, preserving measurement accuracy while eliminating the time loss associated with manual adjustments and enabling continuous high-speed operation
Data Source
AI summary
A method for generating a resultant test plan for testing a measurement object includes generating at least one data record by measuring the measurement object. The method includes assigning at least part of the measurement object to at least one object class based on the at least one data record. The method includes determining a test plan assigned to the at least one object class as an object-class-specific test plan. The method includes determining the resultant test plan based on the object-class-specific test plan. The assignment of the at least part of the measurement object to the at least one object class is independent of dimensions.