US 2025/0291337 A1 · System and a Method for Mitigating Data Drift in an Industrial Plant

Abstract

A system and method for mitigating data drift in an industrial plant includes monitoring, by a processor, one or more process parameters associated with an industrial plant; detecting, by the processor, a drift in one or more process parameters based on a deviation from one or more predefined process parameters; determining, by the processor, one or more drift context and process context based on drift and one or more process parameters; determining, by the processor, sampling strategy from plurality of sampling strategies based on one or more drift and process context for sampling one or more process parameters using first Artificial Intelligence (AI) model; and training, by the processor, a second AI model based on sampling strategy for mitigating data drift.

Claims18

Dependent claims

A method for mitigating data drift in an industrial plant, comprising:

monitoring, by a processor, one or more process parameters associated with an industrial plant;
detecting, by the processor, a drift in the one or more process parameters based on a deviation from one or more predefined process parameters;
determining, by the processor, one or more drift context and one or more process context based on the drift and the one or more process parameters;
determining, by the processor, a sampling strategy from a plurality of sampling strategies based on the one or more drift context and the one or more process context for sampling the one or more process parameters using a first Artificial Intelligence (AI) model;
and
training, by the processor, a second AI model based on the sampling strategy for mitigating data drift;
wherein the second AI model is configured to control one or more processes in the industrial plant.

4 more elements

A system for mitigating data drift in an industrial plant, comprising:

a processor;
and
a memory;
wherein the memory stores processor-executable instructions, which on execution cause the processor to:
monitor one or more process parameters associated with an industrial plant;
detect a drift in the one or more process parameters based on a deviation from one or more predefined process parameters;
determine one or more drift context and one or more process context based on the drift and the one or more process parameters;
determine a sampling strategy from a plurality of sampling strategies based on the one or more drift context and the one or more process context for sampling the one or more process parameters using a first AI model;
and
train a second AI model based on the sampling strategy for mitigating data drift;
wherein the second AI model is configured to control one or more processes in the industrial plant.

8 more elements

Dependencies are inferred from the claim text.

System and a Method for Mitigating Data Drift in an Industrial Plant

Life of this patent

System and a Method for Mitigating Data Drift in an Industrial Plant

Life of this patent

Abstract

Claims18