Multi modal fluid measurement methods and apparatus therefor
AssigneeTEF Technologies Inc.
InventorBabak Adeli KOUDEHI
Life of this patent
Estimating the term…
Abstract
Training data is generated over a plurality of trials. In each trial, training information about a training fluid from sensors having at least two different sensing modalities is obtained. After generating training data, an artificial intelligence engine is trained on the training data. After training the artificial intelligence engine, the artificial intelligence engine infers a composition of a fluid based at least in part on deployed sensors. The artificial intelligence engine can be further trained using legacy sensors at an industrial facility.
Claims20
A method for preparing a training data set for training an artificial intelligence engine (AIE) operable to infer a composition of a fluid, the method comprising:
- conducting a plurality of trials to generate a plurality of elements of the training data set, each trial comprising:
- obtaining a training fluid with a known composition;
- delivering the training fluid to a test chamber;
- obtaining first training information about the training fluid in the test chamber using one or more first training sensors having a first sensing modality;
- obtaining second training information about the training fluid in the test chamber using one or more second training sensors having a second sensing modality, the second sensing modality different from the first sensing modality;
- and
- associating, in a computer-interpretable format, the known composition with the first training information and the second training information to provide an element of the training data set.
A method of inferring a composition of a fluid, the method comprising:
- conducting a plurality of trials to generate a plurality of elements of a training data set, each trial comprising:
- obtaining a training fluid with a known composition;
- delivering the training fluid to a test chamber;
- obtaining first training information about the training fluid in the test chamber using one or more first training sensors having a first sensing modality;
- obtaining second training information about the training fluid in the test chamber using one or more second training sensors having a second sensing modality, the second sensing modality different from the first sensing modality;
- associating, in a computer-interpretable format, the known composition with the first training information and the second training information to provide an element of the training data set;
- providing an AIE comprising trainable parameters;
- initializing values for the trainable parameters;
- performing a plurality of training iterations to obtain a trained AIE comprising trained parameters, each training iteration comprising for an element of the training data set:
- (i) predicting a composition of the training fluid based at least in part on the first training information, the second training information, and current values of the trainable parameters;
- (ii) determining an error between the predicted composition of the training fluid from step (i) and the known composition of the training fluid;
- and
- (iii) modifying, based at least in part on the error calculated in step (ii), the current values of the trainable parameters to obtain updated parameters;
- providing one or more first deployed sensors having the first sensing modality, and one or more second deployed sensors having the second modality;
- acquiring the trained AIE;
- obtaining first information about the fluid from the one or more first deployed sensors;
- obtaining second information about the fluid from the one or more second deployed sensors;
- and
- inferring, using the trained AIE, an inferred composition of the fluid based at least in part on the first information, the second information, and the trained parameters of the trained AIE.
An apparatus for determining the composition of fluids, the apparatus comprising:
- one or more first sensors having a first sensing modality;
- one or more second sensors having a second sensing modality;
- and
- a processor configured to:
- obtain first information about an unknown fluid from the one or more first sensors;
- obtain second information about the unknown fluid from the one or more second sensors;
- and
- infer, using a trained AIE comprising trained parameters, an inferred composition of the unknown fluid based at least in part on the first information, the second information, and the trained parameters of the trained AIE.
Dependencies are inferred from the claim text.