Slab Temperature Measurement Using Surface-Adaptive Spectral Emissivity
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Solution Overview
Problem
Existing methods struggle to accurately measure the temperature of a slab in a heating furnace due to surface conditions such as scale, gaps in measurement, and errors caused by scale removal or water, leading to operational challenges and reduced prediction accuracy.
Innovation Solution
A method involving spectral measurement of a slab's surface at multiple wavelengths, feature quantity acquisition, and selective temperature calculation based on surface conditions to accurately determine the slab's temperature, using a spectral camera, feature quantity measurement device, and arithmetic device to adjust temperature control methods accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single temperature measurement method is used, then the measurement process is simple, but measurement accuracy deteriorates when surface conditions vary (scale, water, etc.)
Solution Approach 1:
The system dynamically selects between different temperature calculation methods (first method for scale-free surfaces, second method for scaled surfaces) based on real-time surface condition detection. This dynamic adaptation allows the measurement system to maintain high accuracy across varying surface conditions without requiring multiple fixed measurement devices
Solution Approach 2:
The system changes the calculation parameters (emissivity values, wavelength selections) based on the detected surface condition. When scale is detected, the system switches to calculation parameters optimized for scaled surfaces, thereby maintaining measurement accuracy despite surface condition variations
2Measurement precision
If multiple temperature measurement devices are used to account for surface conditions, then measurement accuracy improves, but device complexity and installation difficulty increase
Solution Approach 1:
The temperature measurement device is designed with multi-functionality, incorporating both spectral radiation measurement capabilities and surface condition detection capabilities in a single integrated system. This universal device can adapt to different surface conditions (scaled, unscaled, wet) without requiring separate specialized devices for each condition
Solution Approach 2:
The system uses an intermediary approach by detecting surface conditions (scale presence, water presence) as intermediate information, then using this intermediate data to select the appropriate temperature calculation method. This intermediary detection layer enables accurate temperature measurement without requiring direct physical contact or multiple specialized sensors
3Ease of operation
If traditional temperature measurement methods are used, then the measurement process is straightforward, but prediction accuracy of the temperature prediction model deteriorates
Solution Approach 1:
The system incorporates feedback by using detected surface conditions to adjust the temperature calculation approach. The measured temperature data, combined with surface condition information, provides feedback to the temperature prediction model, improving prediction accuracy by accounting for surface condition variations that affect thermal radiation characteristics
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 precise temperature measurement and control of slabs regardless of surface conditions, improving manufacturing yield and preventing facility damage by warping or excessive load.
Implementation Method 1
measuring a spectral radiation spectrum from a slab including at least three or more wavelengths having different spectral emissivity at a same temperature
Data Source
AI summary
A temperature measurement method includes: a spectral measurement step of measuring a spectral radiation spectrum from a slab including at least three or more wavelengths having different spectral emissivity at a same temperature; an acquisition step of acquiring a feature quantity of a surface of the slab at a measurement point of the spectral radiation spectrum; a determination step of determining a form of the surface of the slab based on the feature quantity acquired in the acquisition step; and a selection step of selecting a temperature calculation method for calculating a temperature of the measurement point from the spectral radiation spectrum, measured in the spectral measurement step, based on a result of the determination in the determination step.