Multi-wavelength Spectral Thermometry with Mobile Narrow-band Window
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Multi-wavelength spectral thermometry faces challenges in accurately detecting thermal radiation objects' temperature and emissivity distribution due to variations in material type, surface roughness, and other factors, requiring improved methods that do not rely on emissivity estimation to enhance universality, accuracy, and noise resistance.
Innovation Solution
A method involving spectrometer-based collection and processing of continuous spectra, denoising, windowing, and standardization within a narrow-band window, allowing for accurate temperature and emissivity calculation without relying on emissivity models, using a black-body furnace for calibration and least square fitting to achieve high universality and noise resistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single function model is used to describe emissivity distribution, then the device complexity is reduced, but the measurement precision deteriorates because it cannot accurately describe emissivity distribution in different states
Solution Approach 1:
The patent applies dynamics by making the narrow-band window mobile and adjustable across different wavelength ranges. Instead of using a fixed single-function model, the system dynamically selects and adjusts the window position and bandwidth based on the thermal radiation object's characteristics and detection wavelength, enabling adaptive description of emissivity distribution under different conditions while maintaining model simplicity
Solution Approach 2:
The patent changes parameters by varying the narrow-band window's central wavelength, bandwidth, and position across the spectrum. This allows the system to adapt to different material types, surface roughness, and thermal states by adjusting detection parameters rather than changing the fundamental measurement approach, achieving high precision without complex models
2Adaptability or versatility
If multi-wavelength spectral thermometry is used without emissivity knowledge, then the adaptability is improved, but the measurement precision deteriorates due to inability to accurately estimate spectral emissivity distribution
Solution Approach 1:
The patent extracts the emissivity estimation problem by using a narrow-band window that isolates specific wavelength regions where the thermal radiation object's emission characteristics can be directly measured without requiring prior knowledge of overall spectral emissivity distribution. This extraction allows universal application across different materials while maintaining precision through localized spectral analysis
Solution Approach 2:
The patent introduces a narrow-band window as an intermediary between the broadband spectral measurement and the temperature calculation. This window serves as a mediator that selects and concentrates relevant spectral information, enabling accurate temperature measurement without needing to estimate the complete spectral emissivity distribution of the thermal radiation object
3Adaptability or versatility
If broadband spectral measurement is used, then the adaptability is improved, but the measurement precision deteriorates due to noise and lack of targeted spectral information
Solution Approach 1:
The patent segments the broadband spectrum into multiple narrow-band windows across different wavelength regions. By dividing the broad spectral range into targeted narrow bands, the system maintains comprehensive detection capability while significantly improving signal-to-noise ratio in each segment, as each narrow window focuses on specific spectral features with reduced noise interference
Solution Approach 2:
The patent applies local quality by assigning different narrow-band windows to different wavelength regions based on the thermal radiation object's characteristics. Each window is optimized for its specific spectral region, with tailored bandwidth and position, allowing the system to maintain high precision across the entire detection range by treating each spectral region with locally optimized parameters
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
This approach enables precise temperature measurement and emissivity distribution calculation with high accuracy and noise resistance, facilitating in-situ real-time non-contact thermometry and improved universality, avoiding interference with the measured object.
Implementation Method 1
spectral thermometry is widely applied in the field of high-temperature detection... A continuous spectrum of a thermal radiation object is collected by a spectrometer
Implementation Method 2
perform radiation calibration on the spectrometer by taking a black-body furnace as a standard radiation source, collecting a relative spectral radiation intensity of a radiation object to be measured at each wavelength
Data Source
AI summary
The present invention provides a multi-wavelength spectral thermometry based on mobile narrow-band window and optimization and belongs to the field of thermal radiation temperature detection. A continuous spectrum of a thermal radiation object is collected by a spectrometer; the spectrum of the thermal radiation object is denoised, windowed and standardized; the whole detection wavelength range is traversed within an appropriate narrow-band window; through comparison with windowed and standardized black-body radiation spectra at different temperatures in a corresponding spectral window, the temperature and emissivity distribution of the thermal radiation object is calculated with high accuracy without depending on emissivity model estimation, and high universality and noise resistance are achieved.