Infrared Gas Concentration Measurement Under Background Temperature Drift
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Solution Overview
Problem
Existing gas concentration measurement devices struggle to accurately estimate gas concentration due to background temperature changes caused by factors other than gas, such as clouds, leading to inaccuracies in measuring gas concentration in a space.
Innovation Solution
A gas concentration measuring device that includes an inspection image acquisition unit, a pixel specifying unit, a without-gas background temperature estimation unit, and a concentration-feature-quantity calculation unit, which utilize infrared image time-series data to specify target and reference pixels, estimate without-gas background temperature, and calculate gas concentration features, thereby reducing the influence of background temperature changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If background temperature is estimated using only target pixel time-series infrared data, then the measurement process is simple, but the gas concentration measurement accuracy deteriorates when background temperature changes due to factors other than gas
Solution Approach 1:
The patent divides the pixel array into target pixels (where gas concentration needs to be measured) and reference pixels (where gas concentration is assumed to be zero). By segmenting the measurement process into these two distinct pixel types, the system can separately analyze temperature changes in areas with and without gas, enabling accurate background temperature estimation while maintaining measurement focus on gas-containing regions.
Solution Approach 2:
The reference pixel serves as an intermediary element that provides information about background temperature changes independent of gas presence. By using the reference pixel's time-series infrared data as a mediator, the system can isolate and estimate background temperature variations, which are then subtracted from the target pixel measurements to obtain accurate gas concentration data.
2Measurement precision
If reference pixel data is incorporated into background temperature estimation, then the accuracy of background temperature estimation improves, but the complexity of data processing increases
Solution Approach 1:
The system performs preliminary identification and classification of pixels into target and reference categories before conducting the temperature estimation. By pre-segmenting the pixel array and preparing the time-series data structures for both pixel types in advance, the subsequent temperature estimation process can proceed more efficiently, reducing overall processing time while incorporating reference pixel data for improved accuracy.
3Reliability
If the system accounts for background temperature changes, then the reliability of gas concentration measurement improves, but the difficulty of detecting and measuring increases
Solution Approach 1:
The system continuously monitors time-series infrared data from both target and reference pixels, using the reference pixel's temperature variations as feedback to correct the target pixel measurements. This feedback mechanism allows the system to dynamically compensate for background temperature changes, improving measurement reliability while maintaining manageable complexity through automated iterative processing.
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 device accurately measures gas concentration by minimizing the impact of background temperature fluctuations, ensuring precise gas concentration estimation even when temperature changes are influenced by factors other than gas.
Implementation Method 1
an infrared camera that captures a space to be monitored, and generates an infrared image
Implementation Method 2
an optical gas leakage detection method has been adopted in which an infrared moving image is captured using infrared absorption characteristics of gas
Data Source
AI summary
To accurately estimate a feature quantity related to a gas concentration and accurately measure a gas concentration in a space even in a case where a background temperature changes due to a factor other than gas.A gas concentration measuring device 20 includes an inspection image acquisition unit 211 that acquires infrared image time-series data captured by an infrared camera 10, a pixel specifying unit 2121 that specifies a target pixel for gas concentration measurement and a reference pixel with a gas concentration lower than a gas concentration of the target pixel in the infrared image, a without-gas background temperature estimation unit 2122 that estimates without-gas background temperature time-series infrared data in the target pixel based on target pixel time-series infrared data and reference pixel time-series infrared data in time-series data of the infrared image, and a concentration-feature-quantity calculation unit 2123 that calculates time-series data of a feature quantity related to a gas concentration of the target pixel based on the target pixel time-series infrared data and without-gas background temperature time-series infrared data of the target pixel.