Adaptive handling of abnormal-condition indicator criteria

Patent metadata

Field	Value
Publication number	US-9910751-B2
Application number	US-201615257258-A
Country	US
Kind code	B2
Filing date	Sep 6, 2016
Priority date	Dec 1, 2014
Publication date	Mar 6, 2018
Grant date	Mar 6, 2018

Abstract

Disclosed herein are systems, devices, and methods related to assets and asset operating conditions. In particular, examples involve determining health metrics that estimate the operating health of an asset or a part thereof, analyzing health metrics to determine variables that are associated with high health metrics, and modifying the handling of operating conditions that normally result in triggering of abnormal-condition indicators, among other examples.

First claim

The invention claimed is:

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:
maintain criteria that governs whether a given abnormal-condition indicator is generated, wherein the given abnormal-condition indicator indicates an occurrence of a given abnormal-condition at an asset;
receive historical response data indicating a plurality of past responses to displayed instances of the given abnormal-condition indicator;
based on the historical response data, modify the criteria that governs whether the given abnormal-condition indicator is generated; and
transmit the modified criteria to at least one asset for use in monitoring asset operation.

2. The computing system of claim 1 , wherein the criteria that governs whether the given abnormal-condition indicator is generated comprises a sensor identifier and a first sensor value criteria, and wherein the modified criteria comprises the sensor identifier and a second sensor value criteria that differs from the first sensor value criteria.

3. The computing system of claim 2 , wherein the first sensor value criteria comprises a first sensor value threshold, and wherein the second sensor value criteria comprises a second sensor value threshold that is greater than the first sensor value threshold.

4. The computing system of claim 1 , wherein the criteria that governs whether the given abnormal-condition indicator is generated comprises a first set of sensor identifiers, and wherein the modified criteria comprises a second set of sensor identifiers that differs from the first set of sensor identifiers by at least one sensor identifier.

5. The computing system of claim 1 , wherein modifying the criteria that governs whether the given abnormal-condition indicator is generated comprises:
based on the historical response data, determining that an extent of past responses comprising a decision to disregard a displayed instance of the given abnormal-condition indicator has reached a threshold extent; and
in response to the determination, modifying the criteria that governs whether the given abnormal-condition indicator is generated.

6. The computing system of claim 5 , wherein the program instructions stored on the non-transitory computer-readable medium are further executable by the at least one processor to cause the computing system to:
before modifying the criteria that governs whether the given abnormal-condition indicator is generated, define the threshold extent based on one or more characteristics of the given abnormal-condition indicator.

7. The computing system of claim 6 , wherein the one or more characteristics of the given abnormal-condition indicator comprises one or more of (i) a severity level of the given abnormal condition indicated by the given abnormal-condition indicator or (ii) an asset subsystem associated with the given abnormal-condition indicator.

8. The computing system of claim 5 , wherein the program instructions stored on the non-transitory computer-readable medium are further executable by the at least one processor to cause the computing system to:
before receiving the historical response data indicating a plurality of past responses to displayed instances of the given abnormal-condition indicator, (i) receive instances of the given abnormal-condition indicator from the at least one asset, and (ii) cause one or more output systems to display the received instances of the given abnormal-condition indicator.

9. The computing system of claim 1 , wherein the program instructions stored on the non-transitory computer-readable medium are further executable by the at least one processor to cause the computing system to:
before maintaining the criteria that governs whether a given abnormal-condition indicator is generated, define the criteria that governs whether a given abnormal-condition indicator is generated.

10. A non-transitory computer-readable medium having instructions stored thereon that are executable to cause a computing system to:
maintain criteria that governs whether a given abnormal-condition indicator is generated, wherein the given abnormal-condition indicator indicates an occurrence of a given abnormal condition at an asset;
receive historical response data indicating a plurality of past responses to displayed instances of the given abnormal-condition indicator;
based on the historical response data, modify the criteria that governs whether the given abnormal-condition indicator is generated; and
transmit the modified criteria to at least one asset for use in monitoring asset operation.

11. The non-transitory computer-readable medium of claim 10 , wherein modifying the criteria that governs whether the given abnormal-condition indicator is generated comprises:
based on the historical response data, determining that an extent of past responses comprising a decision to disregard a displayed instance of the given abnormal-condition indicator has reached a threshold extent; and
in response to the determination, modifying the criteria that governs whether the given abnormal-condition indicator.

12. The non-transitory computer-readable medium of claim 11 , wherein the instructions are further executable to cause the computing system to:
before modifying the criteria that governs whether the given abnormal-condition indicator is generated, define the threshold extent based on one or more characteristics of the given abnormal-condition indicator.

13. The non-transitory computer-readable medium of claim 12 , wherein the one or more characteristics of the given abnormal-condition indicator comprises one or more of (i) a severity level of the given abnormal-condition indicated by the given abnormal-condition indicator or (ii) an asset subsystem associated with the given abnormal-condition indicator.

14. The non-transitory computer-readable medium of claim 10 , wherein the instructions are further executable to cause the computing system to:
before receiving the historical response data indicating a plurality of past responses to displayed instances of the given abnormal-condition indicator, (i) receive instances of the given abnormal-condition indicator from the at least one asset, and (ii) cause one or more output systems to display the received instances of the given abnormal-condition indicator.

15. The non-transitory computer-readable medium of claim 10 , wherein the instructions are further executable to cause the computing system to:
before maintaining the criteria that governs whether a given abnormal-condition indicator is generated, define the criteria that governs whether a given abnormal-condition indicator is generated.

16. A computer-implemented method, the method comprising:
maintaining criteria that governs whether a given abnormal-condition indicator is generated, wherein the given abnormal-condition indicator indicates an occurrence of a given abnormal condition at an asset;
receiving historical response data indicating a plurality of past responses to displayed instances of the given abnormal-condition indicator;
based on the historical response data, modifying the criteria that governs whether the given abnormal-condition indicator is generated; and
transmitting the modified criteria to at least one asset for use in monitoring asset operation.

17. The computer-implemented method of claim 16 , wherein modifying the criteria that governs whether the given

Assignees

• Uptake Tech Inc

Inventors

• Mcelhinney Adam
• Ciasulli John
• Horrell Michael

Classifications

• G06Q10/20 Primary

  Administration of product repair or maintenance · CPC title

• G06N7/01

  Probabilistic graphical models, e.g. probabilistic networks · CPC title

• G06Q10/0633

  Workflow analysis · CPC title

• G06F11/079 Primary

  Root cause analysis, i.e. error or fault diagnosis (in a hardware test environment G06F11/22; in a software test environment G06F11/36) · CPC title

• G06Q50/04

  Manufacturing · CPC title