The present invention relates generally to fluid flow sensors. The present invention is more particularly directed to a high sensitivity fluid flow sensor using an ultrasonic sensor pair to determine fluid flow rates.
In detecting flow rates as applied to leak detectors, it is very important to sense even the slightest flow as a leak as small as a few drops a minute can manifest itself over time to a catastrophic loss. As a result, it is advantageous to provide a high sensitivity flow meter.
The present invention utilizes an up-stream and down-stream ultrasonic sensor path to determine relative flow based on a differential time-of-flight measurement. Once the base measurement is obtained, a series of mathematical filters are applied to the sensor detection readings to differentiate the signal characteristics from the background noise characteristics. These filters may be accomplished using digital signal processing techniques coupled with a creative architecture for the acoustic sensor chambers in line with the fluid flow to maximize sensitivity. The basic chamber designs and mathematical calculations to determine the flow rates are described herein.
Overview:
Multipoint metering (when needed) can be implemented to achieve class 1 or 2 metering (see calibration and Appendix)
Prototype A prototype meter is illustrated in
Referring now to
The test bench used was as follows: tank→pump→ref. Meter→US meter→Ids→tank Test bench.
(LDS and US flow body=¾″ npt)
(Pressure and temperature reading from WNK sensor on US i2c bus)
Referring now to
Referring now to
Referring now to
Here we can see an approximate drift of around 10% as the temperature ramps up from 1 C to 25 C.
This drift can be avoided by a multi temperature calibration.
Referring now to
verification of fluid motion below (or above) noise floor based on inverse relationship between fluid velocity and dynamic pressure.
Bernoulli, applicable in all confirmation of fluid motion change.
Referring now to
The patentable IP will be in the algorithms and sensor correlations that fall out of the data.
Leak Detection:
Such as the possibility of a frequency measurement of impulses from drops dripping perhaps sinusoidal and using that as the measurement over flow/TOF.
Metering:
Using special substitution FIR filtering to deal with real time data looking out of place and displaying the corrected current flow rate
Totalization:
Using special substitution IIR filtering, to deal with historical data anomalies that throw off the totalization tally, then calculating or recalculating the tally based on historical and current data sets.
Referring now to
If the flow meter is intended for residential applications, it must be designed to meet the required standards. For example, per the INTERNATIONAL ORGANIZATION OF LEGAL METROLOGY (OIML), the metrological requirements of water meters are defined by the values of Q1, Q2, Q3 and Q4, which are described in Table 26.
A water meter is designated by the numerical value of 03 in m3/h and the ratio Q3/Q01. The value of 03 and the ratio of Q3/Q1 are selected from the lists provided in the OIML standards.
Water meters have to be designed and manufactured such that their errors do not exceed the maximum permissible errors (MPE) defined in the standards. For example, in OIML standards, water meters need to be designated as either accuracy class 1 or accuracy class 2, according to the requirements.
For class 1 water meters, the maximum permissible error in the upper flow rate zone (Q2≤Q≤Q4) is ±1%, for temperatures from 0.1° C. to 30° C., and ±2% for temperatures greater than 30° C. The maximum permissible error for the lower flow-rate zone (Q1≤Q≤Q2) is ±3%, regardless of the temperature range.
For class 2 water meters, the maximum permissible error for the upper flow rate zone (Q2≤Q≤Q4) is ±2%, for temperatures rom 0.1° C. to 30° C., and ±3% for temperatures greater than 30° C. The maximum permissible error for the lower flow rate zone (Q1≤Q≤Q2) is ±6% regardless of the temperature range.
The flow meter accuracy specified in the standards dictates the required accuracy in the electronics used for driving the ultrasonic transducers, circuits in the receiver path, and time measurement sub circuits. The stringent accuracy required at lower flow rates would require a very low noise signal chain in the transmitter and receiver circuits used in ultrasonic flow meters, as well as the ability to measure picosecond time intervals.
Given the following equations for calculating Cross Sectional Area of a Flow Body, Velocity of Fluid, and Flow Rate:
Let
such that the calculation of Flow Rate can be expressed in terms of K, Δt, and Cf(T):
Inverse Kinematic Experimental Solution for K Factor from Calibration in Water:
Flow Rate Equation for Water Post Calibration:
Q=(Cw(T))2ΔtK (6)
(in gpm)
Q=(Cw(T))2ΔtKG
1. In the ultrasonic calibration procedure flow diagram, because of the approach to calculating flow rate with a dynamic temperature feedback, automatically ad-justing the Cf magnitude in the flow rate equation and Cf encapsulating the temperature dependence of the measurement. (1) A single point (or multi point) calibration can be run agnostic to temperature of the fluid as long as the temper-ature is captured (2) while still yielding industry leading tolerances because the governing equations used for flow rate are a direct relation to the fundamental principles for acoustic propagation in fluids. (3) The novelty of this procedure is that a device can be calibrated with a single point (or multi point) calibration but hold tolerances full span, there is not polynomial fit or lookup table (based on flow measurements vs temperature), instead the acoustic propagation speed correction factors are held directly in the Cf, as the only dependence is tem-perature after the K factor encapsulates the Length and Diameter dependence of the equation.
Flow Rate Equation for Generic Fluid Post Water Calibration:
Q=(Cf(T))2ΔtK (7)
(in gpm)
Q=(Cf(T))2ΔtKG
2. If a fluid change is known to have taken place, by design of the user, and the fluid is known. Rather than allowing the device to automatically create a shift in measurements based on the single point zero flow/known temperature measurements from the factory. (1) The user can instead input the new char-acteristic equation Cf, for the new fluid with a different Cf, and still maintain factory calibration for a new fluid. Assuming characteristic Cf polynomial is known.
Flow Rate Equation for Generic Fluid corrected for Thermal Expansion post-initial calibration:
Q=(Cf(T))2ΔtKE(T) (8)
3. See
4. During the Calibration, a zero flow measurement is captured (see
5. For fluids that share a similarly shaped Cf curve and for a meter that has acknowledged a change in fluid (see ZF section of
6. When the meter is installed in an environment where not only flow rate is important but also the health of the plumbing system (see ZF section of
Related Applications: This application claims the benefit of priority to United States Provisional Patent Application titled HIGH SENSITIVITY ULTRASONIC FLOW METER, assigned Ser. No. 63/186,789, filed May 10, 2021.
Number | Name | Date | Kind |
---|---|---|---|
3874222 | Ladd et al. | Apr 1975 | A |
4336708 | Hobgood et al. | Jun 1982 | A |
4450719 | Nishimura et al. | May 1984 | A |
4518955 | Meyer | May 1985 | A |
4529974 | Tanaka et al. | Jul 1985 | A |
5228329 | Dennison | Jul 1993 | A |
5373737 | Hwang | Dec 1994 | A |
5461910 | Hodson et al. | Oct 1995 | A |
5637789 | Lawson | Jun 1997 | A |
5764539 | Rani | Jun 1998 | A |
5856622 | Yamamoto | Jan 1999 | A |
6147613 | Doumit et al. | Nov 2000 | A |
6310555 | Stern et al. | Oct 2001 | B1 |
6370950 | Lammerink | Apr 2002 | B1 |
6474132 | Hathaway | Nov 2002 | B1 |
6481265 | Weber et al. | Nov 2002 | B1 |
6804990 | Weber et al. | Oct 2004 | B2 |
7054767 | Eldrige | May 2006 | B2 |
7308824 | Trescott et al. | Dec 2007 | B2 |
7565836 | Kanke | Nov 2009 | B2 |
20030234872 | Matherson | Dec 2003 | A1 |
20040225458 | Sherikar | Nov 2004 | A1 |
20100170335 | Nakano et al. | Jul 2010 | A1 |
20100305465 | Ricks et al. | Dec 2010 | A1 |
20120125124 | Hays | May 2012 | A1 |
20170296727 | Burbank | Oct 2017 | A1 |
20180023989 | Droin | Jan 2018 | A1 |
20180106650 | Pedersen | Apr 2018 | A1 |
20200056915 | Pamakstis | Feb 2020 | A1 |
Number | Date | Country |
---|---|---|
103364661 | Oct 2013 | CN |
112097843 | Dec 2020 | CN |
2005188974 | Jul 2005 | JP |
WO 03064981 | Aug 2003 | WO |
Number | Date | Country | |
---|---|---|---|
63186789 | May 2021 | US |