Abstract
The invention concerns a method for detecting fluid (12) parameters (3) using a sensor configuration (2) of a flow meter (1), comprising: a) flowing training fluids (4) with known fluid parameters through the flow meter, wherein training measurement signals (5) from the sensor configuration are fed to a machine learning model (6); b) training the machine learning model to use real-time measurement signals (7) from the sensor configuration to detect real-time fluid (12) parameters (8); and c) using the trained machine learning model and real-time measurement signals fed to the trained machine learning model, to detect real-time fluid parameters, wherein feeding the real-time measurement signals from the sensor configuration to the machine learning model comprises processing (9) the real-time measurement signals by performing feature extraction or feature learning (10) thereon and feeding the processed real-time measurement signals (19) to the trained machine learning model.
Original language | English |
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Patent number | WO2024205396A1 |
Priority date | 28/03/23 |
Filing date | 8/01/24 |
Publication status | Published - 3 Oct 2024 |