Trane International Inc.

Phaidra, Inc.

Christopher R Vause

Vedavyas Panneershelvam

Lee R Cline

Scott A Munns

Anthony Wayne Bruno

Katherine Elizabeth Hoffman

Paritosh Mohan

Aaron E Opatz

Jim Jingyue Gao

Jigar Chimanlal Patel

Sudeep Uprety

Matthew Allen Faust

Priyam Agarwal

Cagdas Alcicek

Raahul Singh

Frank Nerkowski

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

Architectures and techniques are presented that can more efficiently route excess air flow by intelligently selecting the zones to which the excess air flow is to be routed. Excess air flow results from an HVAC device providing (e.g., at a minimum setting) a volume of air that is greater than what is demanded by a zone that triggers activation of the HVAC device. As one example, excess air flow can be routed to a zone or zones that are determined to be most likely to trigger a subsequent activation condition that would cause the HVAC device to be activated again at a future time.

Efficiently routing excess air flow

In variants, a method for industrial process control can include: determining AI setpoint values using an AI agent; determining local setpoint values using a local control system; selecting a setpoint source from a set of candidate setpoint sources including the AI agent and the local control system; optionally determining a set of transition setpoint values based on setpoints provided by the setpoint source; and limiting the setpoint values; wherein the industrial system is operated based on the limited setpoint values.

Deterministic industrial process control

Systems, apparatus and methods for efficiently operating a chiller plant while minimizing or eliminating the occurrence of centrifugal compressor surge. Taking into account chiller design specifications and current operating conditions, a compressor lift point at which surge is predicted to occur is established. Minima and maxima for various chiller setpoints that avoid or eliminate the occurrence of compressor surge are imposed on setpoints provided by a conventional optimizing chiller controller. The chiller system is operated in accordance with the resultant anti-surge setpoints. Energy savings is realized by modulating coolant tower flow to enable the compressor to operate at near-surge conditions while preventing the onset of actual surge.

Chiller plant with dynamic surge avoidance

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.

Chiller and pump control using customizable artificial intelligence system

Architectures or techniques are presented that can facilitate automated function testing (AFT) in connection with an HVAC system or component thereof. The architectures detailed herein can facilitate creation, modification, or duplication of quiz data (e.g., a test). This quiz data can be executed in order to automatically test the function of the HVAC system or component. Additionally, prior to execution, a verification procedure can be performed to ensure that an expected state indicated in the quiz data can in fact be exhibited by the device. Further, execution of the quiz data can include an exit condition that, when satisfied can cause termination of the execution prior to completion. Such can be useful to avoid potentially dangerous situations or to avoid undue disruption to a service provided by the HVAC system.

Automated testing of HVAC devices

Systems, apparatus and methods for operating a chiller plant while minimizing or eliminating the occurrence of centrifugal compressor surge. Taking into account chiller design specifications and current operating conditions, a compressor lift point at which surge is predicted to occur is established. Minima and maxima for various chiller setpoints that avoid or eliminate the occurrence of compressor surge are imposed on setpoints provided by a conventional optimizing chiller controller. The chiller system is operated in accordance with the resultant anti-surge setpoints. Coolant tower flow is modulated to enable the compressor to operate at near-surge conditions while preventing the onset of actual surge.

Growing community of inventors

Austin, TX, United States of America

Christopher R Vause