Leaked Gas Detection Using Infrared Temperature Reliability Index
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Solution Overview
Problem
Existing leaked gas detection methods face challenges in determining the reliability of the concentration-thickness product in real-time due to low signal-to-noise ratios and require complex correction calculations, which can lead to delayed response times when dealing with hazardous gas leaks.
Innovation Solution
A leaked gas detection device and method that extracts a gas cloud image area from an infrared image, acquires gas temperature, and calculates a reliability degree based on background temperature and gas temperature to prioritize real-time determination of the concentration-thickness product, using an infrared imaging unit, gas cloud temperature detection, and processing units to assess the reliability of the obtained concentration-thickness product.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex correction calculation is executed to improve measurement precision, then reliability of concentration-thickness product is improved, but information processing time increases and real-time properties are lost
Solution Approach 1:
The patent extracts only the essential parameters (background temperature and gas temperature) needed for reliability assessment, separating them from the full complex correction calculation. This allows obtaining a reliability index without executing the complete time-consuming correction process, thus maintaining real-time properties while providing meaningful reliability information.
Solution Approach 2:
Instead of performing the full complex correction calculation, the patent applies a partial action by using a simplified reliability assessment based on temperature difference. This partial assessment is sufficient to determine whether the concentration-thickness product is reliable enough for decision-making, avoiding the need for complete processing.
2Productivity
If simple measurement method is used to prioritize real-time properties, then information processing time is reduced, but measurement precision deteriorates due to low signal-to-noise ratio
Solution Approach 1:
The patent introduces feedback by calculating a reliability degree based on the temperature difference between background and gas. This reliability information is fed back to the user to interpret the concentration-thickness product, allowing real-time measurement while providing guidance on the reliability of the obtained data through the temperature-based assessment.
3Reliability
If complex correction calculation is executed to improve reliability, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts the essential reliability assessment from the complex correction calculation system, isolating the temperature difference-based reliability index. This extraction simplifies the overall system complexity while retaining the core functionality of assessing measurement reliability.
Solution Approach 2:
The patent changes the parameter basis for reliability assessment from complex multi-factor correction to a simplified temperature difference parameter. This parameter change reduces computational complexity while maintaining the ability to assess reliability in real-time conditions.
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 reliable and timely assessment of the concentration-thickness product, reducing errors and false recognitions by providing a real-time index of reliability, allowing for immediate action in response to hazardous gas leaks.
Implementation Method 1
an amount of infrared rays is obtained at two points A and B where background temperatures through the leaked gas are different, by an infrared camera
Implementation Method 2
α(λ) is the gas absorption rate
Data Source
AI summary
In a leaked gas detection device and a leaked gas detection method according to the present invention, a gas cloud image area of a gas cloud formed with a leaked gas is extracted on the basis of an infrared image of a target area, a gas temperature of the gas cloud is acquired, a concentration-thickness product of the gas cloud is obtained, and a reliability degree that is an index representing the degree of reliability with respect to the obtained concentration-thickness product of the gas cloud is obtained on the basis of a background temperature in the gas cloud image area and the gas temperature of the gas cloud.