MACHINE LEARNING ANALYSIS AND CONTROL OF CO2-FED PHOTOBIOREACTORS

Abstract: a system and method for predictive control of an algae reactor are disclosed. the method involves receiving correlation data from a correlation database, determining one or more correlations between parameters above a predetermined threshold, querying a parameter database to select associated data, training a machine-learning model based on the correlations and selected data, polling sensor data, predicting future values using the trained model, and instructing the algae reactor to perform required actions based on predicted values exceeding operational thresholds. the machine-learning model is trained to optimize predictions for improved control of the algae reactor.

Inventor(s): William B. Clary, Ramon Elias

CPC Classification: C12M41/48 ({Automatic or computerized control (automatic analysis )})

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