Virtual Geometric Sensor Calibration for Continuous Mill Alignment
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Solution Overview
Problem
Conventional calibration methods for geometric sensors in sawmills are labor-intensive, time-consuming, and require frequent manual adjustments, leading to downtime and reduced productivity due to misalignment caused by vibration and operational impacts.
Innovation Solution
Implementing a virtual calibration system that adjusts profile data in real-time using correction factors derived from overlapping data points from multiple sensors, allowing continuous operation and reducing the need for frequent physical recalibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calibration methods are used for geometric sensors, then initial sensor alignment can be achieved, but frequent recalibration is required due to vibration and operational impacts, leading to downtime and reduced productivity
Solution Approach 1:
The system performs self-calibration by automatically comparing profile data from multiple sensors and computing correction factors without requiring manual intervention. The computer system autonomously detects misalignment and applies virtual calibration to maintain sensor accuracy throughout operation.
Solution Approach 2:
The system continuously monitors sensor profile data and uses feedback loops to detect misalignment caused by vibration or impacts. Correction factors are computed based on real-time data comparison, and the system automatically adjusts for deviations, creating a closed-loop calibration process.
2Measurement precision
If frequent manual recalibration is performed to maintain sensor accuracy, then measurement precision is preserved, but production downtime increases and productivity decreases
Solution Approach 1:
The virtual calibration system operates continuously during mill production without requiring shutdowns or interruptions. Sensors maintain accuracy throughout operation by applying correction factors computed from real-time profile data, eliminating periodic downtime associated with manual recalibration.
Solution Approach 2:
The system replaces physical manual calibration procedures with computational methods. Instead of mechanically adjusting sensor positions, the system uses software-based correction factors applied to profile data, substituting mechanical intervention with digital processing.
3Measurement precision
If multiple geometric sensors are deployed to improve workpiece scanning accuracy, then measurement precision increases, but system complexity and data processing requirements increase
Solution Approach 1:
The system combines profile data from multiple geometric sensors and integrates it into a unified calibration framework. By merging data streams and applying correction factors across all sensors simultaneously, the system manages complexity while maintaining improved measurement precision through multi-sensor redundancy.
Data Source
AI summary
The present disclosure describes methods and systems for virtually calibrating geometric sensors with overlapping fields of view. In some embodiments, a geometric sensor may be virtually calibrated by applying a correction value to profile data obtained by the geometric sensor to generate adjusted profile data. The correction factor may be determined based at least in part on X-Y offsets and/or rotational offsets of prior profile data obtained by the geometric sensor relative to corresponding profile data obtained by a reference geometric sensor, and may be recalculated or updated as new sets of profile data are obtained. The adjusted profile data may be used in place of the original profile data in various data processing operations to functionally offset a positional error of the geometric sensor.