Recommendation system for advanced process control limits using instance-based learning

1 . A system, comprising:

one or more processors;

a memory; and

one or more programs stored in the memory, the one or more programs comprising instructions configured to:

receive an event indicator related to a change event associated with operation of an asset, wherein the event indicator is received in response to a trigger condition associated with a clusterization model for the asset, wherein the clusterization model provides grouping of asset data into clusters of data based on similarity of at least one of attributes and features associated with the asset data, and wherein the asset data is associated with the asset, wherein the trigger condition corresponds to a transition of a portion of the asset data from a first cluster to a second cluster modeled by the clusterization model; and

in response to the event indicator associated with the asset:

determine one or more insights for one or more real-time settings for the asset based at least in part on a comparison between a current operating condition digital signature for the asset and historical operating condition digital signature for the asset;

adjust the one or more real-time settings for the asset based on the one or more insights to provide one or more adjusted settings for the asset; and

perform one or more actions based on the one or more adjusted settings for the asset.

2 . The system of claim 1 , the one or more programs further comprising instructions configured to:

determine one or more instance-based learning insights for the one or more real-time settings based at least in part on the comparison between the current operating condition digital signature for the asset and the historical operating condition digital signature for the asset.

3 . The system of claim 1 , the one or more programs further comprising instructions configured to:

receive the event indicator in response to a cluster change with respect to the asset data for the asset.

4 . The system of claim 1 , the one or more programs further comprising instructions configured to:

generate the current operating condition digital signature for the asset by filtering current operational variables and asset context data for the asset.

5 . The system of claim 4 , the one or more programs further comprising instructions configured to:

filter the current operational variables and the asset context data for the asset based on at least one of one or more clustering thresholds, one or more noise thresholds, one or more accuracy metrics, a set of features included in the historical operating condition digital signature, and a set of predefined events associated with the asset.

6 . The system of claim 1 , the one or more programs further comprising instructions configured to:

determine non-decision variables and decision variables associated with the asset data; and

perform distinct filtering processes with respect to the asset data based on the non-decision variables and decision variables.

7 . The system of claim 1 , the one or more programs further comprising instructions configured to:

configure the current operating condition digital signature based on a set of candidate features for historical operating conditions.

8 . The system of claim 1 , the one or more programs further comprising instructions configured to:

configure the one or more adjusted settings for the asset based on one or more historical operating condition digital signatures that are determined to be most similar to the current operating condition digital signature, wherein the one or more historical operating condition digital signatures are associated with a defined type of operation throughput variable.

9 . The system of claim 1 , the one or more programs further comprising instructions configured to:

transmit a control signal configured based at least in part on the one or more adjusted settings for the asset to a controller configured for optimization associated with the asset.

10 . A method, comprising:

at a device with one or more processors and a memory:

receiving an event indicator related to a change event associated with operation of an asset, wherein the event indicator is received in response to a trigger condition associated with a clusterization model for the asset, wherein the clusterization model provides grouping of asset data into clusters of data based on similarity of at least one of attributes and features associated with the asset data, and wherein the asset data is associated with the asset, wherein the trigger condition corresponds to a transition of a portion of the asset data from a first cluster to a second cluster modeled by the clusterization model; and

in response to the event indicator associated with the asset:

determining one or more insights for one or more real-time settings for the asset based at least in part on a comparison between a current operating condition digital signature for the asset and historical operating condition digital signature for the asset;

adjusting the one or more real-time settings for the asset based on the one or more insights to provide one or more adjusted settings for the asset; and

performing one or more actions based on the one or more adjusted settings for the asset.

11 . The method of claim 10 , the determining the one or more insights comprising determining one or more instance-based learning insights for the one or more real-time settings based at least in part on the comparison between the current operating condition digital signature for the asset and the historical operating condition digital signature for the asset.

12 . The method of claim 10 , the receiving the event indicator comprising receiving the event indicator in response to a cluster change with respect to the asset data for the asset.

13 . The method of claim 10 , further comprising:

generating the current operating condition digital signature for the asset by filtering current operational variables and asset context data for the asset.

14 . The method of claim 13 , wherein the filtering comprises filtering the current operational variables and the asset context data for the asset based on at least one of one or more clustering thresholds, one or more noise thresholds, one or more accuracy metrics, a set of features included in the historical operating condition digital signature, and a set of predefined events associated with the asset.

15 . The method of claim 10 , further comprising:

determining non-decision variables and decision variables associated with the asset data; and

performing distinct filtering processes with respect to the asset data based on the non-decision variables and decision variables.

16 . The method of claim 10 , further comprising:

configuring the current operating condition digital signature based on a set of candidate features for historical operating conditions.

17 . The method of claim 10 , further comprising:

configuring the one or more adjusted settings for the asset based on one or more historical operating condition digital signatures that are determined to be most similar to the current operating condition digital signature, the one or more historical operating condition digital signatures being associated with a defined type of operation throughput variable.

18 . A non-transitory computer-readable storage medium comprising one or more programs for execution by one or more processors of a device, the one or more programs including instructions which, when executed by the one or more processors, cause the device to:

receive an event indicator related to a change event associated with operation of an asset, wherein the event indicator is received in response to a trigger condition associated with a clusterization model for the asset, wherein the clusterization model provides grouping of asset data into clusters of data based on similarity of at least one of attributes and features associated with the asset data, and wherein the asset data is associated with the asset, wherein the trigger condition corresponds to a transition of a portion of the asset data from a first cluster to a second cluster modeled by the clusterization model; and

in response to the event indicator associated with the asset:

determine one or more insights for one or more real-time settings for the asset based at least in part on a comparison between a current operating condition digital signature for the asset and historical operating condition digital signature for the asset;

adjust the one or more real-time settings for the asset based on the one or more insights to provide one or more adjusted settings for the asset; and

perform one or more actions based on the one or more adjusted settings for the asset.