Coordinate Measuring Device Base Deformation Correction
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Solution Overview
Problem
Conventional measurement coordinate correction methods for three-dimensional measurers do not adequately improve measurement accuracy as they only consider the weight of the measured object, neglecting the varying deformation of the base due to the object's position, leading to insufficient correction of measurement coordinates.
Innovation Solution
A method that acquires both the weight and position of the measured object using multiple weight sensors, calculating the deformation of the base at various positions to correct the measurement coordinates, thereby improving accuracy by considering both factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If correction parameters corresponding exclusively to the weight of the measured object are used, then the correction process is simplified, but measurement accuracy is insufficient when the position of the measured object varies
Solution Approach 1:
The correction parameters are segmented into two independent components: weight-dependent parameters and position-dependent parameters. This segmentation allows the system to separately account for the effects of object weight and object position on base deformation, thereby improving measurement accuracy without significantly complicating the correction process. The correction value is calculated as a combination of these segmented parameters.
Solution Approach 2:
The invention changes the parameters used for correction from exclusively weight-based to a combined weight and position parameter system. By introducing position as an additional parameter and establishing the relationship between position and base deformation, the system adapts to varying measurement conditions, thereby improving measurement accuracy while maintaining reasonable operational simplicity.
2Productivity
If only weight-based correction parameters are stored in memory, then storage requirements and processing load are reduced, but correction accuracy deteriorates when object position varies
Solution Approach 1:
The correction parameters are segmented into weight-dependent parameters and position-dependent parameters, which are stored separately in memory. This segmentation allows the system to efficiently retrieve and combine only the necessary parameters based on the measured object's weight and position, maintaining processing efficiency while improving correction accuracy for varying positions.
Solution Approach 2:
Position-dependent correction parameters are pre-calculated and stored in memory based on predetermined positions on the base. This preliminary action eliminates the need for real-time complex calculations during measurement, thereby maintaining processing efficiency while ensuring accurate correction when objects are placed at various positions.
3Productivity
If the base deformation is not considered, then the measurement process is faster and simpler, but measurement accuracy deteriorates when heavy objects are placed on the base
Solution Approach 1:
The system automatically acquires the position information of the measured object and selects the corresponding position-dependent correction parameters from memory without requiring manual intervention. This self-service mechanism ensures that base deformation correction is applied automatically, improving measurement accuracy for heavy objects while maintaining measurement speed through efficient automated parameter selection and combination.
Data Source
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AI summary
A measurement coordinate correction method correcting the measurement coordinates of a measured object placed on a base, in which the measurement coordinate correction method includes a weight acquiring step, a position acquiring step, and a correcting step. The weight acquiring step acquires information related to the weight of the measured object. The position acquiring step acquires information related to the position of the measured object on the base. The correcting step corrects the measurement coordinates of the measured object based on the weight and position of the measured object.