Individualized Predictive Model & Workflow for an Asset
Disclosed herein are systems, devices, and methods related to assets and predictive models and corresponding workflows that are related to the operation of assets. In particular, examples involve defining and deploying aggregate, predictive models and corresponding workflows, defining and deploying individualized, predictive models and/or corresponding workflows, and dynamically adjusting the execution of model-workflow pairs.
1 . A computing system comprising:
at least one processor;
a non-transitory computer-readable medium; and
program instructions stored on the non-transitory computer-readable medium that are executable by the at least one processor to cause the computing system to:
receive operating data for a plurality of assets, wherein the plurality of assets comprises a first asset;
based on the received operating data, define an aggregate predictive model and an aggregate corresponding workflow that are related to the operation of the plurality of assets;
determine one or more characteristics of the first asset;
based on the one or more characteristics of the first asset and the aggregate predictive model and the aggregate corresponding workflow, define at least one of an individualized predictive model or an individualized corresponding workflow that is related to the operation of the first asset; and
transmit to the first asset the defined at least one individualized predictive model or individualized corresponding workflow for local execution by the first asset.
2 . The computing system of claim 1 , wherein the one or more characteristics of the first asset comprises at least one of an asset age or an asset health.
3 . The computing system of claim 1 , wherein determining the one or more characteristics of the first asset comprises determining the one or more characteristics of the first asset based on received operating data for the first asset.
4 . The computing system of claim 1 , wherein defining at least one of an individualized predictive model or an individualized corresponding workflow comprises defining the individualized predictive model and the individualized corresponding workflow, and wherein transmitting the at least one individualized predictive model or individualized corresponding workflow comprises transmitting the individualized predictive model and the individualized corresponding workflow.
5 . The computing system of claim 1 , wherein defining at least one of an individualized predictive model or an individualized corresponding workflow comprises defining the individualized corresponding workflow, and wherein transmitting the at least one individualized predictive model or individualized corresponding workflow comprises transmitting the aggregate predictive model and the individualized corresponding workflow.
6 . The computing system of claim 5 , wherein the aggregate corresponding workflow comprises a first operation, and wherein the individualized corresponding workflow comprises a second operation that differs from the first operation.
7 . The computing system of claim 6 , wherein the first operation comprises acquiring data according to a first acquisition scheme, and wherein the second operation comprises acquiring data according to a second acquisition scheme.
8 . The computing system of claim 6 , wherein the first operation comprises acquiring data according to an acquisition scheme, and wherein the second operation comprises executing one or more diagnostic tools.
9 . The computing system of claim 1 , wherein the plurality of assets further comprises a second asset, and wherein the program instructions further comprise instructions that are executable to cause the computing system to:
after transmitting the at least one individualized predictive model or individualized corresponding workflow, receive operating data for the second asset indicating an occurrence of an event at the second asset;
based on the received operating data for the second asset, modify the at least one individualized predictive model or individualized corresponding workflow; and
transmit to the first asset the modified at least one individualized predictive model or individualized corresponding workflow.
10 . A non-transitory computer-readable medium having instructions stored thereon that are executable to cause a computing system to:
receive operating data for a plurality of assets, wherein the plurality of assets comprises a first asset;
based on the received operating data, define an aggregate predictive model and an aggregate corresponding workflow that are related to the operation of the plurality of assets;
determine one or more characteristics of the first asset;
based on the one or more characteristics of the first asset and the aggregate predictive model and the aggregate corresponding workflow, define at least one of an individualized predictive model or an individualized corresponding workflow that is related to the operation of the first asset; and
transmit to the first asset the defined at least one individualized predictive model or individualized corresponding workflow for local execution by the first asset.
11 . The non-transitory computer-readable medium of claim 10 , wherein defining at least one of an individualized predictive model or an individualized corresponding workflow comprises defining the individualized predictive model and the individualized corresponding workflow, and wherein transmitting the at least one individualized predictive model or individualized corresponding workflow comprises transmitting the individualized predictive model and the individualized corresponding workflow.
12 . The non-transitory computer-readable medium of claim 10 , wherein defining at least one of an individualized predictive model or an individualized corresponding workflow comprises defining the individualized corresponding workflow, and wherein transmitting the at least one individualized predictive model or individualized corresponding workflow comprises transmitting the aggregate predictive model and the individualized corresponding workflow.
13 . The non-transitory computer-readable medium of claim 12 , wherein the aggregate corresponding workflow comprises a first operation, and wherein the individualized corresponding workflow comprises a second operation that differs from the first operation.
14 . The non-transitory computer-readable medium of claim 13 , wherein the first operation comprises acquiring data according to a first acquisition scheme, and wherein the second operation comprises acquiring data according to a second acquisition scheme.
15 . The non-transitory computer-readable medium of claim 13 , wherein the first operation comprises acquiring data according to an acquisition scheme, and wherein the second operation comprises executing one or more diagnostic tools.
16 . The non-transitory computer-readable medium of claim 10 , wherein the plurality of assets further comprises a second asset, and wherein the program instructions further comprise instructions that are executable to cause the computing system to:
after transmitting the at least one individualized predictive model or individualized corresponding workflow, receive operating data for the second asset indicating an occurrence of an event at the second asset;
based on the received operating data for the second asset, modify the at least one individualized predictive model or individualized corresponding workflow; and
transmit to the first asset the modified at least one individualized predictive model or individualized corresponding workflow.
17 . A computer-implemented method comprising:
receiving operating data for a plurality of assets, wherein the plurality of assets comprises a first asset;
based on the received operating data, defining an aggregate predictive model and an aggregate corresponding workflow that are related to the operation of the plurality of assets;
determining one or more characteristics of the first asset;
based on the one or more characteristics of the first asset and the aggregate predictive model and the aggregate corresponding workflow, defining at least one of an individualized predictive model or an individualized corresponding workflow that is related to the operation of the first asset; and
transmitting to the first asset the defined at least one individualized predictive model or individualized corresponding workflow for local execution by the first asset.
18 . The computer-implemented method of claim 17 , wherein defining at least one of an individualized predictive model or an individualized corresponding workflow comprises defining the individualized corresponding workflow, and wherein transmitting the at least one individualized predictive model or individualized corresponding workflow comprises transmitting the aggregate predictive model and the individualized corresponding workflow.
19 . The computer-implemented method of claim 18 , wherein the aggregate corresponding workflow comprises a first operation, and wherein the individualized corresponding workflow comprises a second operation that differs from the first operation.
20 . The computer-implemented method of claim 19 , wherein one of the first operation or the second operation comprises executing one or more diagnostic tools.