Radiographic Measurement Parameter Optimization
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Solution Overview
Problem
In mass production of components, existing measurement methods are inefficient due to unknown deviations in component geometry, requiring additional measurements and inadequate data quality, which wastes time and resources.
Innovation Solution
A computer-implemented method that uses radiographic measurements to analyze and optimize recording parameters, adapting measurement data acquisition to improve data quality and efficiency, allowing for adaptive measurement strategies that reduce the need for additional measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radiographic measurement is performed with fixed recording parameters from the beginning, then the measurement process is simple to control, but measurement precision and data quality are insufficient when deviations are unknown
Solution Approach 1:
The patent implements dynamic adjustment of recording parameters during the measurement process. The system continuously monitors measurement data quality and adapts recording parameters (such as exposure time, tube current, or projection angles) in real-time based on the actual geometric deviations detected, transitioning from a static fixed-parameter approach to a dynamic adaptive approach that optimizes data quality throughout the measurement process.
Solution Approach 2:
The system incorporates feedback mechanisms where measurement results are analyzed and used to adjust subsequent recording parameters. The evaluation unit assesses the quality of measurement data and feeds this information back to control the radiographic measurement process, enabling continuous optimization of measurement precision based on actual component deviations rather than relying on pre-defined fixed parameters.
2Reliability
If additional measurements are performed to ensure complete geometry ascertainment, then measurement completeness is improved, but measurement time and productivity are reduced
Solution Approach 1:
The system performs partial measurements initially with standard parameters and evaluates whether the acquired data is sufficient. Only when deviations are detected that require higher precision does the system perform additional targeted measurements with optimized parameters. This partial action approach avoids unnecessary complete remeasurements while ensuring completeness where actually needed, balancing reliability and productivity.
Solution Approach 2:
The patent applies local optimization by identifying specific regions or features that require enhanced measurement quality. Instead of uniformly increasing measurement complexity across the entire component, the system locally adapts recording parameters only for areas with detected deviations or insufficient data quality, thereby maintaining productivity while ensuring measurement completeness in critical regions.
3Measurement precision
If recording parameters are optimized based on real-time analysis, then measurement precision is improved, but device complexity and processing time increase
Solution Approach 1:
The system implements periodic evaluation of measurement data quality at predetermined intervals or after acquiring a certain number of projections. Rather than continuously analyzing every single measurement in real-time, the system performs periodic assessments to determine whether parameter optimization is needed, reducing processing time while maintaining the ability to improve measurement precision when deviations are detected.
Solution Approach 2:
The patent performs preliminary analysis of measurement data to identify potential deviations before completing the full measurement sequence. By detecting issues early in the process, the system can optimize parameters for subsequent measurements rather than discovering problems after the complete measurement is finished, thereby reducing overall processing time while maintaining high data accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances measurement efficiency by optimizing radiographic measurement parameters based on real-time analysis, ensuring higher quality data and reducing unnecessary measurements, thus saving time and improving data accuracy.
Implementation Method 1
ascertainment of measurement data using a radiographic measurement of the object
Data Source
AI summary
The invention relates to a computer-implemented method for the measurement of an object, wherein the method comprises the following steps: ascertainment of measurement data using a radiographic measurement of the object, wherein the measurement data generates a digital representation of the object with a large number of items of image information of the object; and carrying out the following steps at least before ending the ascertainment of measurement data: analysis of at least one portion of the digital representation of the object; optimization of at least one recording parameter of the radiographic measurement using the analysed portion of the digital representation of the object; and adaptation of the step of ascertainment of measurement data taking the at least one recording parameter into consideration. The invention thus provides a computer-implemented method that has an increased efficiency.