3D Reference Object for Measuring System Calibration
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Solution Overview
Problem
Existing methods for checking surveying systems, such as dental measurement systems, require precise known dimensions and involve high technical effort to determine calibration and registration accuracy, making it difficult to determine if the accuracy is within permitted tolerance limits.
Innovation Solution
A method involving multiple three-dimensional recordings of a reference object from different directions, where the object is rotated and measured twice, allowing for the determination of measurement errors by comparing the distance between initial and final recording positions, without requiring known dimensions, and enabling automated measurement with overlapping recording areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a reference model with known dimensions is measured and compared with laboratory system measurements, then measurement accuracy can be determined, but the technical effort and complexity increase significantly
Solution Approach 1:
The measurement system checks itself by comparing the measured distance with the predefined correct distance stored in the system, eliminating the need for external laboratory system measurements and complex comparison procedures
Solution Approach 2:
The correct distance between two characteristic points is predetermined and stored in the system before measurement, allowing direct comparison with the measured distance without requiring external reference measurements
2Measurement precision
If multiple three-dimensional recordings are taken and registered, then measurement errors can be detected, but the process becomes more complex and time-consuming
Solution Approach 1:
The method extracts only the essential information needed for error detection - the distance between two characteristic points - from the complex three-dimensional recordings, avoiding the need for comprehensive surface comparison
Solution Approach 2:
Characteristic points are predetermined and their correct distance is stored in advance, allowing direct comparison with measured values without requiring complex post-processing of the entire three-dimensional model
3Loss of information
If false color markings and mean value calculations are used to show deviations, then visual representation is improved, but the complexity and technical effort increase
Solution Approach 1:
The method extracts only the distance between two characteristic points from the complex three-dimensional deviation data, providing essential error information without requiring complex visualization procedures
Data Source
Figure 1~2
Figure 3~4
Figure 5
AI summary
The invention relates to a reference object (3) and a method for checking a measuring system (1), wherein a plurality of three-dimensional recordings (4, 8) of a reference object are recorded from different recording directions (5) by means of the measuring system (1). The reference object (3) has a closed shape, wherein each of the three-dimensional recordings (4) is registered with at least the preceding recording (4). In the case of a faulty calibration and/or in the case of a faulty registration, the individual recordings (4, 8) are deformed compared to the actual shape of the reference object (3), so that the deformation continues when assembling the individual three-dimensional recordings (4) to form an overall recording (54) and the generated overall recording (54) deviates in its dimensions from the dimensions of the reference object (3) as a result thereof. At least one object region (10) of the reference object (3) is measured twice, at the beginning of a circuit and at the end of the circuit, wherein a distance (55) is determined in the overall recording (54) between a first position of the object region (10) in a first recording at the beginning of the circuit and a second position of the object region (10) in a second recording at the end of the circuit.