Methods and systems for dynamic workflow prioritization and tasking

• US 10,437,203 B2
• Filed: 10/08/2013
• Issued: 10/08/2019
• Est. Priority Date: 10/08/2013
• Status: Active Grant

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Laflen, John Brandon, Uday, Anand, Modi, Piyush, Bolinger, Joe William, DeRose, LynnAnn
• Primary Examiner(s): Kasenge, Charles R
• Application Number:
  US14/048,934
• Publication Number:
  US 20150100138A1
• Time in Patent Office: 2,191 Days
• CPC Class Codes: G05B 13/04 involving the use of models or simulators
• CPC Class Codes: H04Q 2209/20 using a distributed architecture
• CPC Class Codes: H04Q 2209/40 using a wireless architecture
• CPC Class Codes: H04Q 2209/50 using a mobile data collecting device, e.g. walk by or drive by
• CPC Class Codes: H04Q 9/00 Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom

Abstract

A computer-implemented system includes a plurality of metrological interface devices. Each metrological interface device is in communication with a metrological sensing device configured to detect metrological data from a physical asset. The computer-implemented system also includes a portable computing device. The portable computing device is configured to a) receive a metrological data set, the metrological data set substantially representing data associated with the physical asset at a point in time, b) process the metrological data set and an asset data model into a processed metrological data set, c) upon determining, based on the processed metrological data set, a metrological variance, recalibrating the asset data model and returning to step (a), and d) upon determining no metrological variance, reporting the metrological data set and the asset data model to at least one report recipient.

Claims

1. A computer-implemented system comprising:

a universal wireless platform comprising cloud resources;

a plurality of metrological interface devices, each said metrological interface device comprising a printed circuit board (PCB) comprising at least one metrological sensor communication interface, and at least one first standard wireless communication interface, wherein each said metrological interface device is in communication with a metrological sensing device via said metrological sensor communication interface, wherein each metrological sensing device is configured to detect metrological data from a physical asset, each said metrological interface device is configured to receive the metrological data from the metrological sensing device; and

a portable computing device, said portable computing device comprising a memory device, a processor coupled to said memory device, and further comprising a second standard wireless communication interface coupled to said memory device and to said processor, wherein said second standard wireless communication interface is configured to communicate with said plurality of metrological interface devices via said first standard wireless communication interface via the universal wireless platform, said portable computing device configured to exclusively connect to one of the plurality of metrological interface devices and;

a) receive a metrological data set that substantially represents data associated with the physical asset at a point in time;

b) process, by said processor, the metrological data set and an asset data model into a processed metrological data set that substantially represents a model of the physical asset associated with the metrological sensing device and further associated with said metrological interface device, wherein the asset data model is based on historically available asset data and describes a predicted condition of the physical asset;

c) upon determining, based on the processed metrological data set, a metrological variance, recalibrate the asset data model and return to step (a); and

d) upon determining no metrological variance, report the metrological data set and the asset data model to at least one report recipient.

2. The computer-implemented system in accordance with claim 1, wherein said metrological interface device is configured to:

retrieve the asset data model from at least one of said portable computing device, a second portable computing device, a server computing device, and a networked storage device.

3. The computer-implemented system in accordance with claim 1, wherein said metrological interface device is further configured to recalibrate the asset data model and further configured to:

request model input from at least one asset data model evaluator;

receive model input from the at least one asset data model evaluator; and

update the asset data model using the model input.

4. The computer-implemented system in accordance with claim 1, wherein said metrological interface device is further configured to recalibrate the asset data model and further configured to:

determine that the processed metrological data indicates that the physical asset has changed in asset disposition;

determine, based on the processed metrological data, a present disposition associated with the physical asset;

determine, based on the present disposition, a model correction; and

calibrate the asset data model using the model correction.

5. The computer-implemented system in accordance with claim 1, wherein said metrological interface device is configured to:

determine, based upon the asset data model and the metrological data set, a plurality of outcome probabilities associated with a plurality of outcome scenarios, the plurality of outcome scenarios associated with the physical asset.

6. The computer-implemented system in accordance with claim 1 wherein said metrological interface device is configured to:

determine, based upon the asset data model and the metrological data set, at least one recommended next step associated with the physical asset, the at least one recommended next step representing a proposed course of action related to the service of the physical asset; and

report the at least one recommended next step to the at least one report recipient.

7. The computer-implemented system in accordance with claim 1 wherein each said portable computing device is configured to:

process the metrological data set and the asset data model into the processed metrological data set using at least one networked computing resource associated with said portable computing device.

8. The computer-implemented system in accordance with claim 1 wherein each said portable computing device is configured to:

process the metrological data set from a secondary metrological data set into a primary metrological data set, wherein the secondary metrological data set represents a second set of data associated with the physical asset which does not represent a physical state of the physical asset and the primary metrological data set represents a first set of data associated with the physical asset which represents the physical state of the physical asset.

9. The computer-implemented system in accordance with claim 1, wherein each said portable device is configured to process the metrological data by applying at least one of heuristic algorithms and expert-user input.

10. The computer-implemented system in accordance with claim 1, wherein each of the plurality of metrological interface devices comprises a processor configured process the metrological data received from the metrological sensing device into at least one physical measurement of the physical asset.

11. A computer-based method performed by a portable computing device, the portable computing device including a memory device, a processor coupled to the memory device, and further including a second standard wireless communication interface coupled to the memory device and to the processor, wherein the second wireless communication interface is configured to communicate via a universal wireless platform comprising cloud resources with a plurality of metrological interface devices each having at least one metrological sensor communication interface and at least one first standard wireless communication interface, the plurality of metrological interface devices in communication with a plurality of metrological sensing devices, the metrological sensing devices configured to detect metrological data from a physical asset, the method comprising:

a) exclusively connecting the portable computing device to one of the plurality of metrological interface devices;

b) receiving a metrological data set, the metrological data set substantially representing data associated with the physical asset at a point in time;

c) processing the metrological data set and an asset data model into a processed metrological data set, the asset data model substantially representing a model of the physical asset associated with the metrological sensing device and further associated with the metrological interface device, wherein the asset data model is based on historically available asset data and describes a predicted condition of the physical asset;

d) upon determining, based on the processed metrological data set, a metrological variance, recalibrating the asset data model and returning to step (b); and

e) upon determining no metrological variance, reporting the metrological data set and the asset data model to at least one report recipient.

12. The computer-based method in accordance with claim 11, further comprising:

retrieving the asset data model from at least one of the portable computing device, a second portable computing device, a server computing device, and a networked storage device.

13. The computer-based method in accordance with claim 11, further comprising:

requesting model input from at least one asset data model evaluator;

receiving model input from the at least one asset data model evaluator; and

updating the asset data model using the model input.

14. The computer-based method in accordance with claim 11, further comprising:

determining that the processed metrological data indicates that the physical asset has changed in asset disposition;

determining, based on the processed metrological data, a present disposition associated with the physical asset;

determining, based on the present disposition, a model correction; and

calibrating the asset data model using the model correction.

15. The computer-based method in accordance with claim 11, further comprising

determining, based upon the asset data model and the metrological data set, a plurality of outcome probabilities associated with a plurality of outcome scenarios, the plurality of outcome scenarios associated with the physical asset.

16. The computer-based method in accordance with claim 11, further comprising:

determining, based upon the asset data model and the metrological data set, at least one recommended next step associated with the physical asset, the at least one recommended next step representing a proposed course of action related to the service of the physical asset; and

reporting the at least one recommended next step to the at least one report recipient.

17. The computer-based method in accordance with claim 11, further comprising:

processing the metrological data set and the asset data model into the processed metrological data set using at least one networked computing resource associated with the portable computing device.

18. The computer-based method in accordance with claim 11, further comprising:

processing the metrological data set from a secondary metrological data set into a primary metrological data set, wherein the secondary metrological data set represents a second set of data associated with the physical asset which does not represent a physical state of the physical asset and the primary metrological data set represents a first set of data associated with the physical asset which represents the physical state of the physical asset.

19. The computer-based method in accordance with claim 11, further comprising processing the metrological data by applying at least one of heuristic algorithms and expert-user input.