Recursive Hyperspectral Imaging for Accurate Gas Leak Quantification
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Solution Overview
Problem
Conventional imaging systems fail to accurately detect and quantify gas leaks due to the influence of foreground/background temperatures and gas within the field of view, especially when the imaging device's field of view is modified, leading to inaccurate detection and quantification of fugitive emissions.
Innovation Solution
An imaging system that employs recursive modification protocols for hyperspectral imaging, using multiple IR imaging devices and a computing device to iteratively generate spectral absorption data by distinguishing between pixels indicative of gas presence and absence, adjusting update rates based on pixel-specific modification protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional imaging systems use fixed background temperature assumptions, then the system complexity is low, but the detection precision deteriorates due to inaccurate gas quantification
Solution Approach 1:
The patent implements dynamic modification protocols that continuously update pixel data based on detected gas presence. The system transitions from static background temperature assumptions to dynamic adjustments where pixel values are recursively modified based on gas detection results, allowing the system to adapt to changing environmental conditions and improve measurement precision
Solution Approach 2:
The system performs preliminary classification of pixels into gas-present and gas-absent categories before applying modification protocols. This preliminary action allows the system to prepare appropriate update strategies in advance, improving detection precision by ensuring that background subtraction is performed accurately before gas quantification occurs
2Adaptability or versatility
If the imaging device field of view is modified during operation, then the adaptability improves, but the measurement precision deteriorates due to gas burn into background
Solution Approach 1:
The patent segments the field of view into multiple pixels and applies different modification protocols to different segments based on gas presence. When the field of view is modified, each pixel segment is independently updated based on its own gas detection status, preventing gas from one region from contaminating background measurements in other regions
Solution Approach 2:
The system applies local quality by using pixel-specific modification protocols that are tailored to each pixel's gas presence status. This allows the system to maintain high measurement precision in gas-free regions while accurately tracking gas in contaminated regions, even when the field of view changes during operation
3Measurement precision
If uniform update rate is applied to all pixels, then the ease of operation is high, but the detection precision deteriorates due to evolving environmental conditions
Solution Approach 1:
The patent implements dynamic update rates for different pixel groups based on their gas presence status. Pixels detecting gas are updated more frequently than background pixels, allowing the system to adapt to evolving environmental conditions and improve detection accuracy without requiring complex manual configuration
Solution Approach 2:
The system automatically determines appropriate update rates for each pixel based on its own gas detection status and the detected gas characteristics. This self-service approach eliminates the need for manual configuration of update rates for each pixel, maintaining ease of operation while achieving high detection precision through adaptive updating
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 system accurately detects and quantifies gas leaks by accounting for evolving environmental conditions and repositioning, providing precise detection and quantification of fugitive emissions.
Implementation Method 1
a first infrared (IR) imaging device to generate first IR image data of a first field of view of the first IR imaging device at a first time
Implementation Method 2
generate spectral absorption data based upon the first IR image data at a first time
Data Source
AI summary
Systems, methods, and computer program products for recursive modifications are provided. An example imaging system includes a first infrared (IR) imaging device that generates first IR image data of a first field of view of the first IR imaging device at a first time and a computing device operably connected with the first IR imaging device. The computing device receives the first IR image data from the first IR imaging device and determines a first set of pixels and a second set of pixels from amongst a plurality of pixels associated with the first IR image data. The computing device further determines a first modification protocol for the first set of pixels and determines a second modification protocol for the second set of pixels. In response, the computing device generates a recursive modification input based upon the first and second modification protocols.