Web Inspection Calibration via Frequency Domain Analysis
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Solution Overview
Problem
Current web inspection systems face challenges in real-time, on-line calibration, requiring resource-intensive and time-consuming processes that disrupt production and necessitate frequent recalibration due to environmental and operational changes, leading to inefficiencies and increased costs.
Innovation Solution
A system and method for real-time calibration of web inspection systems using a sensor positioned up-web or down-web to measure web properties, converting data into calibrated units through frequency domain analysis, enabling the computation of calibration constants without interrupting production, and allowing for quantitative data collection and comparison across different processes and systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional calibration methods are used, then calibration accuracy is improved, but production downtime increases and resource consumption increases
Solution Approach 1:
The system performs preliminary calibration actions by positioning a reference web upstream of the inspection system and automatically capturing calibration data during normal web transport, eliminating the need for separate calibration downtime. The calibration process is initiated and completed in advance of when calibration would traditionally be required.
Solution Approach 2:
A reference web serves as an intermediary calibration target between the calibration system and the inspection system. This reference web with known properties mediates the calibration process, allowing automatic comparison and adjustment of inspection system measurements without requiring production shutdown or manual intervention.
2Measurement precision
If traditional calibration methods are used, then calibration accuracy is improved, but resource consumption increases
Solution Approach 1:
The calibration system performs self-calibration by automatically capturing images of the reference web, processing the images through image processing algorithms, computing calibration constants, and updating inspection system parameters without requiring external calibration equipment, manual operations, or additional resource-intensive procedures.
Solution Approach 2:
The system replaces mechanical calibration procedures with optical and computational methods. Instead of using physical calibration standards requiring manual positioning and measurement, the system uses digital image capture, automated image processing, and computational algorithms to perform calibration, significantly reducing resource consumption.
3Reliability
If frequent recalibration is performed, then measurement reliability is improved, but productivity decreases
Solution Approach 1:
The calibration process operates continuously during normal web production without interruption. The reference web moves continuously through the calibration zone, and the inspection system continuously captures and processes calibration data, maintaining both production continuity and calibration reliability simultaneously.
Solution Approach 2:
The system performs rapid periodic calibration cycles at optimized intervals based on production conditions. Instead of continuous recalibration that would halt production, the system executes quick calibration cycles periodically, maintaining measurement reliability while minimizing impact on production throughput.
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
Enables continuous, uninterrupted web inspection with reduced downtime and resource usage, providing accurate and consistent data for quality control and process optimization.
Implementation Method 1
its thermal conductivity may be correlated to the brightness of light transmitted through it and into a series of optical sensors
Implementation Method 2
Information provided from this sensor is converted to the frequency domain (using a Fourier transform, or similar)
Data Source
AI summary
Systems and methods for calibrating a web inspection system using data from a calibrated point sensor, using a frequency spectra-based analysis. A sensor measures a web property of interest, which is then converted into the frequency domain, as is information from a web inspection system. A correlation model is then created to allow calibration of the web inspection system.