Phaidra, Inc.

Katherine Elizabeth Hoffman

Christopher R Vause

Vedavyas Panneershelvam

Paritosh Mohan

Jim Jingyue Gao

Priyam Agarwal

Cagdas Alcicek

Methods and systems are disclosed for determining a plan to optimize key performance indicators (KPIs) of an industrial process using a trained artificial intelligence agent and a custom objective function determined based on process information from the industrial system.

Chiller and air handler control using customizable artificial intelligence system

In variants, a method for industrial process control can include: determining an industrial system representation using a set of industrial system templates, wherein each template is associated with a control model and a set of attributes corresponding to control model features; determining associations between the attributes of the industrial system representation and data streams from the industrial system; and generating a set of control instructions for the industrial system based on the data streams associated with the attributes.

Industrial process control using unstructured data

Methods and systems are disclosed for determining a plan to optimize key performance indicators (KPIs) of an industrial process. Such a plan is determined based on generating a query for information associated with the KPIs and based on receiving user-provided object information corresponding to the KPIs. The method includes receiving, at a user interface, one or more KPIs associated with an industrial process. The method includes generating, based on the one or more KPIs, at least one query for information associated with the KPI. The method includes receiving, at the user interface, a response to the at least one query. The method includes determining, by an artificial intelligence agent, a plan for optimizing the KPI.

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Silverdale, WA, United States of America

Katherine Elizabeth Hoffman