Infrared Concentration Sensing with Segmented Temperature Correction
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Solution Overview
Problem
Existing concentration measurement systems face challenges in accurately correcting for temperature-dependent variations in light absorption by measurement objects, leading to inaccuracies in concentration calculations.
Innovation Solution
A concentration measurement apparatus and method that employs a light emission unit, infrared effect detection unit, and signal processing unit to perform linear correction of detection signals across multiple temperature segments, using specific correction parameters for each segment to minimize temperature-dependent errors, allowing concentration calculations to be made using a single set of calibration curve data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If temperature correction is performed using a single calibration curve, then the device complexity is reduced, but the measurement precision deteriorates due to temperature-dependent errors
Solution Approach 1:
The temperature range is divided into multiple segments, with each segment having its own linear correction parameters. This segmentation allows the system to maintain high measurement precision across different temperatures while using a single calibration curve, avoiding the complexity of multiple calibration curves.
Solution Approach 2:
The invention changes the correction approach from using multiple calibration curves to using linear correction parameters (slope and intercept) that vary with temperature. By adjusting these parameters based on temperature segments, the system achieves accurate concentration measurements without the complexity of maintaining multiple calibration curves.
2Measurement precision
If linear correction with temperature segments is implemented, then the measurement precision is improved, but the device complexity increases due to multiple correction parameters
Solution Approach 1:
The system uses linear correction parameters (slope and intercept) that change based on temperature segments. This approach improves measurement precision by accounting for temperature effects while keeping the correction system relatively simple compared to using multiple calibration curves.
Solution Approach 2:
The correction parameters are made dynamic by adjusting them according to temperature segments. The system automatically selects appropriate linear correction parameters based on the current temperature, improving precision without requiring a complex static correction system.
3Measurement precision
If multiple calibration curves are used for different temperatures, then the measurement precision is improved, but the ease of operation deteriorates due to multiple calibration datasets
Solution Approach 1:
Instead of managing multiple calibration curves, the system segments the temperature range and applies linear correction parameters to a single calibration curve. This segmentation approach maintains measurement precision while significantly simplifying calibration data management and operation.
Solution Approach 2:
The system changes from managing multiple calibration curves to managing linear correction parameters (slope and intercept) that vary with temperature. This parameter change approach improves ease of operation by reducing the complexity of calibration data storage, retrieval, and application.
4Measurement precision
If polynomial correction of higher degree is used, then the measurement precision is improved, but the device complexity increases due to complex calculation algorithms
Solution Approach 1:
The invention changes the correction approach from using high-degree polynomials to using linear correction parameters. This parameter change simplifies the calculation algorithm while maintaining measurement precision by applying temperature-dependent linear corrections to the absorption signal.
Solution Approach 2:
The system segments the temperature range and applies linear correction to each segment. This segmentation with linear correction avoids the complexity of high-degree polynomial calculations while achieving accurate temperature compensation across the full temperature range.
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
The apparatus achieves precise concentration measurements by reducing temperature-dependent errors, maintaining accuracy across varying temperatures without the need for multiple calibration curves, thus enhancing computational efficiency and reducing computational costs.
Implementation Method 1
an infrared effect detection unit configured to detect an effect on the measurement object which is caused by infrared rays
Data Source
AI summary
Provided is a concentration measurement apparatus for measuring a concentration of a measurement object using an infrared ray, the concentration measurement apparatus including a signal acquisition unit configured to acquire a detection signal, a temperature information acquisition unit configured to acquire temperature information, a correction unit configured to output a correction signal obtained by correcting a temperature dependency of the detection signal based on the temperature information, and a calculation unit configured to calculate the concentration of the measurement object according to the correction signal using calibration curve data at a predetermined reference temperature for calculating the concentration of the measurement object, in which the correction unit is configured to output the correction signal obtained by performing linear correction of the detection signal using, among predetermined correction parameters different for three or more respective temperature segments, the correction parameter in a temperature segment corresponding to the temperature information.