Method and system for analyzing gas leak based on machine learning
AssigneePalo Alto Research Center Incorporated
InventorsClinton J. Smith, Bhaskar Saha, Victor A. Beck, David E. Schwartz
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AssigneePalo Alto Research Center Incorporated
InventorsClinton J. Smith, Bhaskar Saha, Victor A. Beck, David E. Schwartz
Estimating the term…
Embodiments of the present invention provide a system for estimating a location of a gas leak, based on machine learning from forward gas concentration data provided by an analog or scale model including a gas source. The system improves significantly over previous systems by providing high quality, physically accurate forward modeling data inexpensively. During operation, the system configures an aerosol source at a first location to emit a gaseous aerosol. The system then configures a laser source to illuminate the aerosol with a laser sheet. The system may then obtain an image of a reflection of the laser sheet from the aerosol. The system may then analyze the image to quantify a three-dimensional concentration distribution of the aerosol. The system may then estimate, based on solving an inverse problem and an observed second gas concentration, a second location of a second gas source.
A computer-implemented method for measuring a gas concentration distribution, comprising:
A non-transitory computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for measuring a gas concentration distribution, the method comprising:
A computing system for measuring a gas concentration distribution, the system comprising:
Dependencies are inferred from the claim text.