Gas Analysis Imaging for Single-Camera Plume Quantification
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Solution Overview
Problem
Existing gas analysis systems are inefficient and costly due to the need for multiple cameras to monitor potential gas plume locations, and they fail to accurately quantify gas release amounts by not accounting for asset conditions and gas plume properties.
Innovation Solution
A gas analysis system with a controller component that processes image data from gas detection sensors to generate refined gas quantity data using a gas plume impact model, enabling efficient and accurate gas plume monitoring and quantification across multiple target areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple cameras are used to monitor potential gas plume locations, then monitoring coverage is improved, but system cost and complexity increase
Solution Approach 1:
The single camera system is designed to perform multiple functions: detecting gas plumes, capturing image data, and providing monitoring coverage for potential leak locations. This multi-functional approach eliminates the need for multiple specialized cameras while maintaining comprehensive monitoring capability
Solution Approach 2:
A machine learning model serves as an intermediary between the single camera and the gas detection system. The model processes image data from the camera and identifies gas plumes, effectively mediating the detection process and enabling reliable monitoring with reduced hardware complexity
2Measurement precision
If traditional gas analysis systems are used, then gas detection is provided, but accurate quantification of gas release amounts is not achieved
Solution Approach 1:
The system uses feedback loops where image data is continuously analyzed by machine learning models, and the results are used to refine gas quantity estimates. The system iteratively processes image data and adjusts measurements based on detected gas plume characteristics, improving measurement precision through continuous feedback
Solution Approach 2:
The system changes multiple parameters including image processing parameters, machine learning model parameters, and gas quantity calculation parameters. By adjusting these parameters based on detected gas plume properties, the system achieves accurate quantification of gas release amounts
Data Source
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AI summary
Systems, apparatuses, methods, and computer program products for performing gas analysis are provided. An example gas analysis system may comprise at least one gas detection sensor and at least one controller component. In some embodiments, the controller component is configured to obtain image data of a target area. In some embodiments, the controller component is configured to generate, by applying the image data to a gas plume impact model, gas plume impact data. In some embodiments, the controller component is configured to generate refined gas quantity data based at least in part on the gas plume impact data. In some embodiments, the controller component is configured to initiate performance of one or more responsive actions based at least in part on the refined gas quantity data.