IR Spectroscopy Surface Impairment Detection via Reference Spectrum Integration
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Solution Overview
Problem
Conventional methods for determining surface impairment or pollution in IR-spectroscopy are complex, time-consuming, and often require multiple measurements, leading to inefficient cleaning schedules that can result in either over-cleaning or under-cleaning, affecting measurement reliability and increasing maintenance efforts.
Innovation Solution
A device and method for IR-spectroscopy that measures an IR-reference spectrum of a reference sample to determine an impairment indicator by integrating data over a specific spectral range, using a radiation source and detector to evaluate the spectrum and provide a quantitative assessment of surface pollution, allowing for timely and targeted cleaning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional methods are used to determine surface impairment, then measurement reliability is maintained, but the process becomes complex and time-consuming
Solution Approach 1:
The patent changes the parameter of spectral range integration, integrating the reference spectrum over a specific range (e.g., 1800-2500 cm⁻¹) where contaminant absorption is most prominent. This parameter change simplifies the evaluation process by focusing on the most informative region of the spectrum, reducing complexity while maintaining reliability
Solution Approach 2:
The patent extracts only the essential information needed for contamination assessment by integrating the spectrum over a predetermined range and comparing it to a threshold value. This extraction approach eliminates the need for complex multi-step analysis while preserving the key indicator of surface impairment
2Measurement precision
If multiple reference measurements are performed, then contamination detection accuracy is improved, but the time required increases
Solution Approach 1:
The system performs self-assessment of surface contamination by automatically measuring the reference spectrum, integrating it over the predetermined range, and comparing the result to a threshold. This self-service approach provides accurate contamination detection in a single measurement cycle without requiring multiple comparative measurements
Solution Approach 2:
The patent establishes a predetermined integration range and threshold value in advance, based on expected contaminant characteristics. This preliminary preparation enables rapid single-measurement assessment, as the evaluation criteria are already optimized and stored, eliminating the need for time-consuming multiple measurements
3Reliability
If frequent cleaning is performed, then measurement reliability is maintained, but equipment downtime and wear increase
Solution Approach 1:
The system provides feedback on the actual contamination level by calculating an impairment indicator from the reference spectrum and comparing it to a threshold. This feedback mechanism enables condition-based cleaning decisions, allowing cleaning to be performed only when actually needed, thus maintaining reliability while minimizing unnecessary downtime and wear
4Device complexity
If a single integrated value is used to assess contamination, then the method is simplified, but detection sensitivity may be reduced
Solution Approach 1:
The patent applies local quality by focusing the integration on a specific spectral range (1800-2500 cm⁻¹) where contaminant absorption features are most prominent. This localized approach maintains high detection sensitivity for relevant contaminants while keeping the method simple through single-value assessment
Solution Approach 2:
The patent transforms the spectral data from a complex multi-wavelength function into a single integrated value over a predetermined range. This dimensional reduction simplifies the assessment method while preserving detection sensitivity by integrating over the region most sensitive to contamination
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 simplifies the determination of surface impairment, reducing the need for frequent or unnecessary cleaning, enhancing measurement reliability and efficiency by providing a clear, quantitative indicator of pollution, thus minimizing downtime and wear on equipment.
Implementation Method 1
The irradiated measuring radiation excites rotational or vibrational modes of the molecules which are contained in the sample and thereby, at characteristic wavelength, attenuations of the irradiated radiation are observed
Implementation Method 2
By an infrared-spectrometer, conventional infrared-active substances can be analyzed by means of an absorption/transmission measurement
Implementation Method 3
The Fourier transformation-infrared spectroscopy (FTIR) is a special form of infrared spectroscopy, wherein the data over a broad spectral range can be recorded within a relatively short time period
Data Source
Figure 1
Figure 2A~2B
Figure 3
AI summary
A device (1) is provided for IR-spectroscopy and for determining an impairment of a surface (13, 15) which is exposed to measuring radiation (9) during the IR-spectroscopy, wherein the device comprises: a radiation source (7) to generate the measuring radiation (9); a sample receptacle (21) for receiving a sample (16), wherein the sample receptacle is at least partially delimited by the surface (13, 15); a detector (19) for detecting measuring radiation (17) after interaction with the sample (16), wherein the device is configured: to measure an IR-reference spectrum (29, 31, Iv) of a reference sample which is received in the sample receptacle; to evaluate the reference spectrum (29, 31, Iv), to determine an indicator (S, S0, S1) of the impairment, wherein evaluating encompasses an integration of a quantity which is based on the reference spectrum (29, 31, Iv) over a predetermined integration spectral range (33), wherein the indicator is determined dependently on a value (S) of the integration.