US 10,318,364 B2 · Methods and systems for problem-alert aggregation

Abstract

The present invention discloses methods and systems for problem-alert aggregation and identifying sub-optimal behavior. Methods include the steps of: providing data-driven alerts for an asset, wherein the data-driven alerts associate real-world data measured and/or detected from the asset, and wherein entities are physical objects and/or processes; providing an asset representation including interrelations between the objects, processes, and sensors associated with the entities of the asset; associating the data-driven alerts with the respective entities which are interrelated in the asset representation; aggregating the data-driven alerts into events, wherein the events are groupings of related data-driven alerts having related entities according to the asset representation; scoring each event into an event score, wherein the event score represents an event importance, an event urgency, an event relevance, and/or an event significance; and generating a selected subset of the events and respective event scores, wherein the selected subset is based on the event scores.

Claims15

Dependent claims

A method for problem-alert aggregation, the method comprising the steps of:

(a) providing data-driven alerts for an asset, wherein:
(i) said data-driven alerts associate real-world data measured and/or detected from said asset;
(ii) said asset is a complex physical system having a main activity;
(iii) an object is a physical item;
(iv) a process is a non-physical item that influences at least one object;
(v) entities are physical objects and/or processes of said asset;
and
(vi) said entities are adapted to act together to achieve said main activity;
(b) providing an asset representation of said asset, wherein said asset representation includes:
(i) representations of at least two objects of said asset and at least two processes of said asset;
(ii) representations of at least two sensors associated with said entities of said asset;
and
(iii) interrelations between said objects, said processes, and said sensors associated with said entities of said asset;
(c) associating said data-driven alerts with respective said entities that are interrelated in said asset representation;
(d) aggregating said data-driven alerts into events in said asset representation, wherein said events are groupings of related data-driven alerts having related entities according to said asset representation;
(e) scoring each said event into an event score, wherein said event score represents an event importance, an event urgency, an event relevance, and/or an event significance;
(f) generating a selected subset of said events and respective event scores, wherein said selected subset is based on said event scores;
and
(g) removing false, low-likelihood, unimportant, low-urgency, irrelevant and/or insignificant problem-alerts from said data-driven alerts based on said event scores.

16 more elements

A method for producing an interconnected representation of a complex physical operation for identifying sub-optimal behavior, the method comprising the steps of:

(a) creating a sensor listing, wherein:
(i) said sensor listing includes all relevant sensors, all relevant measurements, and/or all relevant sensor-data columns in a database, related to real-world data measured and/or detected in an asset;
(ii) said asset is a complex physical system having a main activity;
(iii) an object is a physical item;
(iv) a process is a non-physical item that influences at least one object;
(v) entities are physical objects and/or processes of said asset;
and
(vi) said entities are adapted to act together to achieve said main activity;
(b) creating an object listing, wherein said object listing includes at least one relevant object in said asset;
(c) creating a process listing, wherein said process listing includes at least one relevant process in said asset;
(d) creating a set of entity connections by associating listing elements in said sensor listing, said object listing, and said process listing;
(e) iterating said steps (b)-(d) to refine said object listing, said process listing, and said entity connections until:
(i) said object listing includes at least two said relevant objects and said process listing includes at least two said relevant processes in said asset;
and
(ii) all relevant objects and all relevant processes in said asset are properly listed and correspondingly associated into an asset representation of said asset, thereby producing the interconnected representation;
(f) identifying, by utilizing said asset representation, at least one said relevant object and/or at least one said relevant process that is impairing said asset from optimally performing, conducting, and/or achieving said main activity or a sub-aspect of said main activity;
and
(g) generating at least one alert associated with said at least one relevant object and/or said at least one relevant process that is impairing said asset.

15 more elements

A non-transitory computer-readable storage medium, having computer-readable code embodied on the non-transitory computer-readable storage medium, for problem-alert aggregation, the computer-readable code comprising:

(a) program code for providing data-driven alerts for an asset, wherein:
(i) said data-driven alerts associate real-world data measured and/or detected from said asset;
(ii) said asset is a complex physical system having a main activity;
(iii) an object is a physical item;
(iv) a process is a non-physical item that influences at least one object;
(v) entities are physical objects and/or processes of said asset;
and
(vi) said entities are adapted to act together to achieve said main activity;
(b) program code for providing an asset representation of said asset, wherein said asset representation includes:
(i) representations of at least two objects of said asset and at least two processes of said asset;
(ii) representations of at least two sensors associated with said entities of said asset;
and
(iii) interrelations between said objects, said processes, and said sensors associated with said entities of said asset;
(c) program code for associating said data-driven alerts with respective said entities that are interrelated in said asset representation;
(d) program code for aggregating said data-driven alerts into events in said asset representation, wherein said events are groupings of related data-driven alerts having related entities according to said asset representation;
(e) program code for scoring each said event into an event score, wherein said event score represents an event importance, an event urgency, an event relevance, and/or an event significance;
(f) program code for generating a selected subset of said events and respective event scores, wherein said selected subset is based on said event scores;
and
(g) program code for removing false, low-likelihood, unimportant, low-urgency, irrelevant and/or insignificant problem-alerts from said data-driven alerts based on said event scores.

16 more elements

A system for producing an interconnected representation of a complex physical operation for identifying sub-optimal behavior, the system comprising:

(a) a CPU for performing computational operations;
(b) a memory module for storing data;
(c) an asset-representation module configured for:
(i) creating a sensor listing, wherein:
(A) said sensor listing includes all relevant sensors, all relevant measurements, and/or all relevant sensor-data columns in a database, related to real-world data measured and/or detected in an asset;
(B) said asset is a complex physical system having a main activity;
(C) an object is a physical item;
(D) a process is a non-physical item that influences at least one object;
(E) entities are physical objects and/or processes of said asset;
and
(F) said entities are adapted to act together to achieve said main activity;
(ii) creating an object listing, wherein said object listing includes at least one relevant object in said asset;
(iii) creating a process listing, wherein said process listing includes at least one relevant process in said asset;
(iv) creating a set of entity connections by associating listing elements in said sensor listing, said object listing, and said process listing;
(v) iterating said module functions (ii)-(iv) to refine said object listing, said process listing, and said entity connections until:
(A) said object listing includes at least two said relevant objects and said process listing includes at least two said relevant processes in said asset;
and
(B) all relevant objects and all relevant processes in said asset are properly listed and correspondingly associated into an asset representation of said asset, thereby producing the interconnected representation;
(vi) identifying, by utilizing said asset representation, at least one said relevant object and/or at least one said relevant process that is impairing said asset from optimally performing, conducting, and/or achieving said main activity or a sub-aspect of said main activity;
and
(vii) generating at least one alert associated with said at least one relevant object and/or said at least one relevant process that is impairing said asset.

18 more elements

A non-transitory computer-readable storage medium, having computer-readable code embodied on the non-transitory computer-readable storage medium, for producing an interconnected representation of a complex physical operation for identifying sub-optimal behavior, the computer-readable code comprising:

(a) program code for creating a sensor listing, wherein:
(i) said sensor listing includes all relevant sensors, all relevant measurements, and/or all relevant sensor-data columns in a database, related to real-world data measured and/or detected in an asset;
(ii) said asset is a complex physical system having a main activity;
(iii) an object is a physical item;
(iv) a process is a non-physical item that influences at least one object;
(v) entities are physical objects and/or processes of said asset;
and
(vi) said entities are adapted to act together to achieve said main activity;
(b) program code for creating an object listing, wherein said object listing includes at least one relevant object in said asset;
(c) program code for creating a process listing, wherein said process listing includes at least one relevant process in said asset;
(d) program code for creating a set of entity connections by associating listing elements in said sensor listing, said object listing, and said process listing;
(e) program code for iterating said program-code functions (b)-(d) to refine said object listing, said process listing, and said entity connections until:
(i) said object listing includes at least two said relevant objects and said process listing includes at least two said relevant processes in said asset;
and
(ii) all relevant objects and all relevant processes in said asset are properly listed and correspondingly associated into an asset representation of said asset, thereby producing the interconnected representation;
(f) program code for identifying, by utilizing said asset representation, at least one said relevant object and/or at least one said relevant process that is impairing said asset from optimally performing, conducting, and/or achieving said main activity or a sub-aspect of said main activity;
and
(g) program code for generating at least one alert associated with said at least one relevant object and/or said at least one relevant process that is impairing said asset.

15 more elements

Dependencies are inferred from the claim text.

Methods and systems for problem-alert aggregation

Life of this patent

Methods and systems for problem-alert aggregation

Life of this patent

Abstract

Claims15