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AssigneeBuckman Laboratories International, Inc.
InventorsGlenn Mudaly, Stephen Skirius, Deborah Marais, Rohini Kanwar, Dimitri Kouznetsov, Daniel Paik, Yanran Xu, Shunong Yang
Estimating the term…
Systems and methods are disclosed herein for proactive intervention in an industrial process involving a defoamer composition. Learning models are iteratively trained using historical input data sets comprising directly measured variables from the industrial process and correlations between combinations of the input data and respective process states. For a current input data set associated with the industrial process, and responsive to detected process attributes, an intervention event is determined with respect to at least a first defoamer component in a current composition. Models are utilized to predict, responsive to the intervention event, changes in target values within a specified range of target values for other components in the current composition and/or for directly measured variables as corresponding with a specified process state. Automatic control is performed for respective actuators to produce a new defoamer composition, and as needed to other actuators for the directly measured variables.
A computer-implemented method for proactive intervention in an industrial process involving a defoamer composition, the defoamer composition comprising one or more components and introduced within the industrial process via a defoamer feed unit, the method comprising:
A system for proactive intervention in an industrial process, the system comprising:
Dependencies are inferred from the claim text.