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1. WO2020112731 - FLOW METERING SYSTEM CONDITION-BASED MONITORING AND FAILURE TO PREDICTIVE MODE

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[ EN ]

CLAIMS

What is claimed is:

1. A flow metering system, comprising:

a flow meter coupled to a plurality of sensors and configured to measure volume of fluid flowing through the flow meter; and

a metrology computer coupled to the flow meter and the sensors and configured to:

receive live values from a plurality of sensors during a first time period; train an artificial intelligence engine based on the live values received during the first time period; and

detect a sensor failure based on a deviation between a live value from the sensor and a predicted value for the sensor, wherein the predicted value is based on live values from other of the plurality of sensors and the artificial intelligence engine.

2. The flow metering system of claim 1 , wherein the metrology computer is further configured to:

predict a future trend in sensor values based on the live values and the trained artificial intelligence engine; and

identify an impending failure of one of the sensors.

3. The flow metering system of claim 2, wherein the metrology computer is further configured to calculate a probability of impending failure of the sensor when the metrology computer identifies the impending failure.

4. The flow metering system of claim 1 , wherein the metrology computer is further configured to determine and display a remedial action in response to a detected sensor failure.

5. The flow metering system of claim 1 , wherein the metrology computer is further configured to calculate an uncertainty value for one of the sensors based on a predicted value for that sensor and a live value for that sensor.

6. A method for monitoring operation of a flow meter, comprising:

receiving, by a metrology computer, live values from a plurality of sensors during a first time period;

training an artificial intelligence engine based on the live values received during the first time period; and

detecting, by the metrology computer, a sensor failure based on a deviation between a live value from the sensor and a predicted value for the sensor, wherein the predicted value is based on live values from other of the plurality of sensors and the artificial intelligence engine.

7. The method of claim 6, further comprising, as a result of detecting the sensor failure, performing a remedial action for the sensor experiencing the failure.

8. The method of claim 7, wherein the remedial action comprises at least one selected from the group consisting of: scheduling maintenance for the sensor; ordering a replacement sensor; and replacing the sensor.

9. A non-transitory, computer-readable medium containing instructions that, when executed by a processor, cause the processor to perform the method of claim 6.

10. A flow metering system, comprising:

a flow meter coupled to a plurality of sensors and configured to measure volume of fluid flowing through the flow meter; and

a metrology computer coupled to the flow meter and the sensors and configured to:

receive live values from a plurality of sensors during a first time period;

train an artificial intelligence engine based on the live values received during the first time period;

in response to detecting a sensor failure, determine an uncertainty of a predicted value for the sensor, wherein the predicted value is based on live values from other of the plurality of sensors and the artificial intelligence engine; and

in response to the uncertainty being below a threshold, use the predicted value in a flow calculation.

1 1. The flow metering system of claim 10, wherein the metrology computer is further configured to:

predict a future trend in sensor values based on the live values and the trained artificial intelligence engine; and

identify an impending failure of one of the sensors.

12. The flow metering system of claim 1 1 , wherein the metrology computer is further configured to calculate a probability of impending failure of the sensor when the metrology computer identifies the impending failure.

13. The flow metering system of claim 10, wherein the metrology computer is further configured to determine and display a remedial action in response to the uncertainty being above the threshold.

14. A method for monitoring operation of a flow meter, comprising:

receiving, by a metrology computer, live values from a plurality of sensors during a first time period;

training an artificial intelligence engine based on the live values received during the first time period;

in response to detecting a sensor failure, determining, by the metrology computer an uncertainty of a predicted value for the sensor, wherein the predicted

value is based on live values from other of the plurality of sensors and the artificial intelligence engine; and

in response to the uncertainty being below a threshold, using, by the metrology computer, the predicted value in a flow calculation.

15. The method of claim 14, further comprising performing a remedial action for the sensor experiencing the failure in response to the uncertainty being above the threshold.

16. The method of claim 15, wherein the remedial action comprises at least one selected from the group consisting of: scheduling maintenance for the sensor; ordering a replacement sensor; and replacing the sensor.

17. A non-transitory, computer-readable medium containing instructions that, when executed by a processor, cause the processor to perform the method of claim 14.