Automated FTIR Gas Analyzer for Cylinder Certification
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Solution Overview
Problem
Current gas analysis methods, such as those using Fourier Transform Infrared (FTIR) spectroscopy, are offline and time-consuming, requiring hours or days to provide results, and only detect moisture concentration changes, lacking accuracy in certifying gas concentrations in cylinders to within one percent of labeled values.
Innovation Solution
A system combining an FTIR module with a computer-controlled gas cell environment and processor, which scans gases, calculates intensity responses, and uses interpolation and curve fitting algorithms to determine gas concentrations, incorporating standard and zero gases for precise analysis and certification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If offline chemical spectroscopy is performed in an analytical laboratory, then gas concentration analysis can be conducted, but the analysis time is extended to hours or days
Solution Approach 1:
The patent replaces manual offline spectroscopy with an automated FTIR system that uses a computer-controlled micrometer to move the mirror in the interferometer, enabling rapid automated scanning and eliminating manual sample handling and analysis delays
Solution Approach 2:
The system performs preliminary calibration by scanning standard gases with known concentrations to establish a reference spectral library and calibration curves before analyzing unknown samples, enabling rapid direct comparison and quantification without lengthy manual interpretation
2Measurement precision
If FTIR spectroscopy is used to detect gas concentrations, then molecular absorption characteristics can be utilized, but the system can only detect moisture concentration changes
Solution Approach 1:
The patent implements a universal FTIR gas analysis system that can detect multiple gas types by scanning the entire infrared spectrum and identifying absorption patterns characteristic of different molecular structures, enabling detection of any gas with infrared-active vibrations through a single instrument
3Device complexity
If manual gas analysis methods are used, then simple equipment can be employed, but the certification accuracy cannot reach within one percent of labeled values
Solution Approach 1:
The system incorporates feedback through automated comparison of measured spectral data with reference spectra and calibration curves, using computer algorithms to iteratively refine concentration calculations and compensate for instrumental variations, achieving high precision through automated data processing and validation
Solution Approach 2:
The patent utilizes changes in spectral parameters (absorption intensity, peak position, shape) across the infrared spectrum as gas concentration changes, employing multi-parameter analysis rather than single-point measurement to achieve accurate quantification within one percent of labeled values
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 rapid and accurate certification of gas concentrations in cylinders to within one percent of labeled values, improving efficiency and accuracy compared to existing methods by providing real-time data and comprehensive gas analysis.
Implementation Method 1
Fourier Transform Infrared (FTIR) Spectroscopy which bases its functionality on the principle that molecules absorb infrared light
Implementation Method 2
Molecules only absorb infrared light at those frequencies where the infrared light affects the dipolar moment of the molecule
Implementation Method 3
FTIR spectroscopy generally uses a Michelson interferometer to spread a sample with the infrared light spectrum
Data Source
AI summary
A system for certifying a concentration of gas in a cylinder includes a gas cell configured to receive a sample gas from a cylinder, and an FTIR module coupled to the gas cell for scanning the sample gas and forming a beam spectrum. A processor is coupled to the FTIR module for calculating an intensity response of the sample gas based on the beam spectrum. A storage device is included for storing data points of a plot of intensity response of a known gas versus concentration levels. The processor is configured to interpolate between the stored data points of the plot to determine an interpolated data point corresponding to the intensity response of the sample gas. The processor provides to the user a concentration level of the sample gas, based on the interpolated data point.


