Fluid flow sensing systems and methods of use

• US 10,267,651 B2
• Filed: 12/22/2016
• Issued: 04/23/2019
• Est. Priority Date: 12/28/2015
• Status: Active Grant

• Current Assignee: Nudge Systems, LLC
• Original Assignee: Nudge Systems, LLC
• Inventors: Pedreiro, Ana V., De Camargo, Marcelo A.
• Primary Examiner(s): Dalbo, Michael J
• Application Number:
  US15/389,207
• Publication Number:
  US 20170184417A1
• Time in Patent Office: 852 Days
• CPC Class Codes: G01D 4/002 Remote reading of utility meters
• CPC Class Codes: G01F 1/075 with magnetic or electromagnetic coupling to the indicating device
• CPC Class Codes: G01F 1/115 with magnetic or electromagnetic coupling to the indicating device
• CPC Class Codes: G01F 15/063 using electrical means
• CPC Class Codes: G01F 15/0755 involving digital counting
• CPC Class Codes: G01F 25/10 of flowmeters
• CPC Class Codes: Y02B 90/20 Smart grids as enabling technology in buildings sector smart grids supporting the management or operation of end-user stationary applications in general, or like technologies with no associated climate change mitigation effect Y04S20/00
• CPC Class Codes: Y04S 20/30 Smart metering, e.g. specially adapted for remote reading

Abstract

Water meter sensing systems and methods of use are provided herein. A system includes a sensor that mounts to a fluid meter, the sensor measuring analog or digital fluid flow measurements of the fluid meter, a communications interface that transmits and receives data, a microprocessor that is communicatively coupled with the fluid sensor and the communications interface, and a component enclosure that includes a power source that powers both the fluid sensor and a communications interface. The microprocessor infers a flow rate based on the analog or digital fluid flow measurements and generates fluid flow signals, the fluid flow signals being transmitted to a receiving system.

Claims

1. A system, comprising:

a fluid sensor that mounts to a fluid meter enclosed in a sensor enclosure, the fluid sensor measuring analog or digital fluid flow measurements of the fluid meter, the fluid sensor being a three-axis ultra-sensitive magnetometer measuring a magnetic field vector in three axes providing magnitude and direction of the magnetic field vector, the three-axis ultra-sensitive magnetometer using an algorithm to process measurements from the measuring of the magnetic field vector in three axes and compensating for changes in magnitude, phase, and offset ensuring that magnetic cycles caused by mechanical rotation of a water meter magnet are identified in real-time irrespective of location of the three-axis ultra-sensitive magnetometer;

a communications interface that transmits and receives data;

a microprocessor that is communicatively coupled with the fluid sensor and the communications interface;

a component enclosure that comprises a power source that powers both the fluid sensor and the communications interface, wherein the microprocessor infers a flow rate based on the analog or digital fluid flow measurements and generates fluid flow signals, the fluid flow signals being transmitted to a receiving system using the communications interface;

wherein the microprocessor is further configured to execute instructions to;

place the microprocessor into a sleep mode when the fluid sensor senses that the fluid flow signals are below a flow detection threshold;

program a new flow detection threshold including an offset that is larger than a measured peak-to-peak noise level when a no flow condition is detected; and

awaken the microprocessor when the fluid sensor senses that the fluid flow signals meet or exceed a flow detection threshold, the fluid sensor sensing a full or partial revolution of a rotator indicative of fluid flow to awaken the microprocessor.

2. The system according to claim 1, wherein the fluid sensor is disposed on a belt that wraps around a housing of the fluid meter.

3. The system according to claim 1, wherein the component enclosure is hermetically sealed and the fluid sensor and power source are coupled through a cable that extends outside the component enclosure.

4. The system according to claim 1, wherein the fluid sensor is provided with adhesive that bonds with the fluid meter.

5. The system according to claim 1, wherein the microprocessor embeds a unique identifying code for the system in the fluid flow signals.

6. The system according to claim 1, wherein the microprocessor is configured to execute instructions to:

receive the fluid flow signals; and

filter the fluid flow signals to reduce noise effects and improve a signal-to-noise ratio of the fluid flow signals.

7. The system according to claim 6, wherein the microprocessor is configured to execute instructions to:

dynamically auto-range the fluid flow signals to enable operation with weak, asymmetrical, and varying frequency of the fluid flow signals by;

obtaining the fluid flow signals upon initiation of the fluid sensor and sensing of the fluid flow;

determining maximum and minimum amplitudes of the fluid flow signals;

selecting an initial detection threshold using the maximum and minimum amplitudes; and

selecting optimized measurement parameters used to process the fluid flow signals using the initial detection threshold.

8. The system according to claim 7, wherein the microprocessor is further configured to execute instructions to compare the fluid flow signals to a noise level threshold to prevent false detection of fluid flow.

9. The system according to claim 7, wherein the microprocessor is further configured to execute instructions to classify fluid flow events by:

detecting a beginning of a fluid flow event;

detecting an end of the fluid flow event;

computing event parameters between the beginning and the end, the event parameters comprising volume, duration, and flow rate;

comparing the event parameters to event ranges, each of the event ranges comprising event parameter values and having an event type; and

assigning the fluid flow event at least one event type based on the comparison.

10. The system according to claim 9, further comprising receiving user input that designates the event type and training the system to improve accuracy of event recognition by adjusting parameters of a logic based event recognition algorithm and updating event time histories.

11. The system according to claim 10, wherein the microprocessor is further configured to execute instructions to further refine the classification of the fluid flow event using historical fluid flow event data and determining correlations therebetween.

12. The system according to claim 10, the user input further comprising a selection of a privacy setting as to a display of specific or aggregate event types.

13. The system according to claim 9, wherein the receiving system comprises a remote display unit that comprises a microprocessor, the remote display unit microprocessor being communicatively coupled with the fluid sensor microprocessor through the communications interface over a wireless link.

14. The system according to claim 13, wherein the fluid sensor and the remote display unit are paired using a unique identifying code to allow operation of multiple systems in close proximity without interference.

15. The system according to claim 1, wherein the microprocessor is further configured to execute instructions to self-calibrate by:

detect at least one characteristic of a fluid flow event;

extract fluid flow parameters based on the at least one characteristic;

compute a calibration factor for the fluid flow event; and

perform an accuracy augmentation procedure by;

performing a lookup of the calibration factor against a calibration factor table; and

when the calibration factor is not in the calibration factor table, repeating the calibration computation until the calibration factors from at least two independent calibrations agree to within a specified error threshold.

16. The system according to claim 1, wherein the microprocessor is further configured to execute instructions to classify fluid flow events by:

detecting a beginning of one or more fluid flow events;

detecting an end of the one or more fluid flow events;

computing correlation of a first fluid flow event of the one or more fluid flow events to historical fluid usage data;

selecting an event type for the first fluid flow event that is based on a highest computed correlation;

subtracting values for the event type from measured signals for the first fluid flow event to determine a residual signal;

utilizing the residual signal to determine one or more event types for a second fluid flow event of the one or more fluid flow events;

repeating the process if a second residual signal is determined; and

repeating the process to identify multiple events superimposed in time.

17. The system of claim 1, wherein the sensor is attached to a side surface of the fluid meter.

18. The system according to claim 1, wherein the microprocessor is further configured to execute instructions to calculate fluid flow corresponding to a fraction of the magnetic cycle of the fluid meter.