CN105973349B - A kind of on-line prediction method of Coriolis flowmeter intrinsic frequency - Google Patents

A kind of on-line prediction method of Coriolis flowmeter intrinsic frequency Download PDF

Info

Publication number
CN105973349B
CN105973349B CN201610267912.4A CN201610267912A CN105973349B CN 105973349 B CN105973349 B CN 105973349B CN 201610267912 A CN201610267912 A CN 201610267912A CN 105973349 B CN105973349 B CN 105973349B
Authority
CN
China
Prior art keywords
intrinsic frequency
frequency
signal
coriolis flowmeter
amplitude
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201610267912.4A
Other languages
Chinese (zh)
Other versions
CN105973349A (en
Inventor
金艳
孙小小
邱晓华
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wenzhou Polytechnic
Original Assignee
Wenzhou Polytechnic
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wenzhou Polytechnic filed Critical Wenzhou Polytechnic
Priority to CN201610267912.4A priority Critical patent/CN105973349B/en
Publication of CN105973349A publication Critical patent/CN105973349A/en
Application granted granted Critical
Publication of CN105973349B publication Critical patent/CN105973349B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01FMEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
    • G01F25/00Testing or calibration of apparatus for measuring volume, volume flow or liquid level or for metering by volume

Landscapes

  • Physics & Mathematics (AREA)
  • Fluid Mechanics (AREA)
  • General Physics & Mathematics (AREA)
  • Measuring Volume Flow (AREA)

Abstract

The present invention relates to a kind of on-line prediction methods of Coriolis flowmeter intrinsic frequency.Mainly solve the problems, such as that existing Coriolis flowmeter intrinsic frequency measurement method requires to stop just being capable of measuring by flowmeter.It is characterized by: detecting electromagnet output signal in real-time sampling Coriolis flowmeter measurement pipe, when signal amplitude changes more than 1/10, changes the stationary phase data in preceding ten periods using amplitude, calculate original natural frequency value f0, intrinsic frequency variation delta f is calculated, and then pass through f=f based on amplitude variation phase signal characteristic parameter identification using the sampled data in amplitude variation phase in continuous two ten periods0+ Δ f calculates the current intrinsic frequency f of measurement pipe.The variation of measurement pipe signal frequency is found out by the data processing of Fourier transformation by the detection signal for sampling multiple periods, goes to calculate current intrinsic frequency in real time, the normal metering without influencing Coriolis flowmeter.

Description

A kind of on-line prediction method of Coriolis flowmeter intrinsic frequency
Technical field
The present invention relates to a kind of prediction techniques of flowmeter intrinsic frequency, and in particular to a kind of Coriolis flowmeter intrinsic frequency On-line prediction method.
Background technique
Coriolis flowmeter CMF (hereinafter referred to as Coriolis flowmeter) is a kind of high-precision mass flowmenter, is answered extensively For the measurement of such as oil product, chemical medium, papermaking black liquid and slurry medium in process industrial field, using fluid in vibration The generated Coriolis force directly proportional to mass flow when flowing in pipeline detects measurement pipe or more two-way sinusoidal signal Phase difference directly calculates mass flow.Wherein, the amplitude stability of vibration control system is before guaranteeing flow measurement accuracy of measurement Propose condition.In general, the driving frequency of measurement pipe should be made to match with intrinsic frequency, if can know in real time to make its amplitude stability The design parameter of intrinsic frequency, the vibration control system to Coriolis flowmeter is very helpful.
In digital Coriolis flowmeter, to guarantee amplitude stability, real-time measurement is needed to track intrinsic frequency, it is existing solid Having frequency test method, including free damping damped method etc. to be required to Coriolis flowmeter stopping can just measure, and cannot achieve The intrinsic frequency on-line prediction of flowmeter.
Summary of the invention
In order to overcome the shortcomings of that background technique, the present invention provide a kind of on-line prediction side of Coriolis flowmeter intrinsic frequency Method mainly solves existing Coriolis flowmeter intrinsic frequency measurement method and requires to ask what flowmeter stopping being just capable of measuring Topic.
The technical scheme adopted by the invention is that: a kind of on-line prediction method of Coriolis flowmeter intrinsic frequency is adopted in real time Electromagnet output signal is detected in sample Coriolis flowmeter measurement pipe, when signal amplitude changes more than 1/10, is changed using amplitude The stationary phase data in preceding ten periods calculate original natural frequency value f0, utilize amplitude variation phase in continuous two ten periods Sampled data calculates intrinsic frequency variation delta f, and then pass through f=f based on amplitude variation phase signal characteristic parameter identification0+ Δ f calculates the current intrinsic frequency f of measurement pipe.
Number of cycles sampling is carried out to amplitude stability phase signal, it, will be corresponding when power spectrum maximum by spectrum analysis Frequency, regard as the fundamental frequency f of signal0, i.e., former intrinsic frequency f0
Number of cycles twice is carried out to magnitude transition phase signal to sample, and reflection is obtained by Fourier transformation and is sampled for the first time The real part a1 and imaginary part b1 parameter of signal characteristic and real part a2 and imaginary part the b2 parameter of second of sampled signal feature, in turn Pass through
Calculate intrinsic frequency variation delta f.
Signal characteristic parameter real part a1, a2 and imaginary part b1, b2 are obtained by Fourier transformation.
The beneficial effects of the present invention are: by the detection signal for sampling multiple periods, at the data of Fourier transformation Reason, finds out the variation of measurement pipe signal frequency, goes to calculate current intrinsic frequency in real time, without influencing Coriolis flowmeter just Often metering.
Specific embodiment
In the vibration control system of Coriolis flowmeter, using a kind of Frequency Measurement Algorithm based on Fourier, when frequency changes When, the variation of frequency is found out according to the phase angle difference between two adjacent data windows, by sampling the detection signal in multiple periods, is passed through The data processing of Fourier transformation finds out the variation of measurement pipe signal frequency, goes to calculate current intrinsic frequency in real time, without Influence the normal metering of Coriolis flowmeter.
Number of cycles sampling is carried out to amplitude stability phase signal, it, will be corresponding when power spectrum maximum by spectrum analysis Frequency, regard as the fundamental frequency f of signal0, i.e., former intrinsic frequency f0
Intrinsic frequency f0, then its corresponding calculating angular frequency is denoted as ω0.Meanwhile the true intrinsic frequency of measurement pipe being denoted as F, corresponding true angular frequency are denoted as ω.Due to f0Although be not with f it is stringent equal, its value is not much different, therefore, can be with Make following reasonable hypothesis:
1, intrinsic frequency f=f0+ Δ f, Δ f indicate intrinsic frequency and calculate the difference of frequency, and Δ f value very little;
2, the calculating angular frequency being calculated0It is fluctuated near true angular frequency;
The derived object of following mathematical formulae exactly acquires the value of Δ f:
The signal that intrinsic frequency indicates are as follows:
F (t)=Fsin (2 π f0t+2πΔft+α0) (1)
Wherein F and α0Indicate amplitude and initial phase.
The resulting sample series of a cycle will be sampled and carry out Fourier transformation, obtained:
Due to ω ≈ ω0, so formula (2) is approximately equal to following formula:
(1) is substituted into (3), and is further spread out, available:
Equally, the sample series in second period carry out same Fourier transformation, obtain:
(1) is substituted into (5), same expansion is done, obtains:
It is available by (4) and (6):
It eliminates in (7) and (8), it obtains:
It can thus be concluded that:
Electromagnet output signal is detected in real-time sampling Coriolis flowmeter measurement pipe, when signal amplitude changes more than 1/10 When, change the stationary phase data in preceding ten periods using amplitude, calculates original natural frequency value f0, connected using the amplitude variation phase The sampled data in continuous two ten periods is reflected based on amplitude variation phase signal characteristic parameter identification by Fourier transformation The real part a1 and imaginary part b1 parameter of first time sampled signal feature and the real part a2 and imaginary part b2 of second of sampled signal feature Parameter, and then pass through
Calculate intrinsic frequency variation delta f.Then pass through f=f0+ Δ F calculates the current intrinsic frequency f of measurement pipe.
The beneficial effects of the present invention are: by the detection signal for sampling multiple periods, at the data of Fourier transformation Reason, finds out the variation of measurement pipe signal frequency, goes to calculate current intrinsic frequency in real time, without influencing Coriolis flowmeter just Often metering.
Every technical staff's notice: of the invention although the present invention is described according to above-mentioned specific embodiment Invention thought be not limited in the invention, any repacking with inventive concept will all be included in this patent protection of the patent right In range.

Claims (2)

1. a kind of on-line prediction method of Coriolis flowmeter intrinsic frequency, it is characterised in that: the measurement of real-time sampling Coriolis flowmeter Electromagnet output signal is detected on pipe, when signal amplitude changes more than 1/10, changes the stabilization in preceding ten periods using amplitude Issue evidence calculates original natural frequency value f0, using the sampled data in amplitude variation phase in continuous two ten periods, it is based on width It is worth the identification of variation phase signal characteristic parameter, calculates intrinsic frequency variation delta f, and then pass through f=f0+ Δ f calculates measurement pipe Current intrinsic frequency f,
Original natural frequency value f0Calculation method: the sampling of number of cycles is carried out to amplitude stability phase signal, passes through frequency spectrum point Analysis, corresponding frequency when by power spectrum maximum regard as the fundamental frequency f of signal0, i.e., former intrinsic frequency f0
The calculation method of intrinsic frequency variation delta f: number of cycles twice is carried out to magnitude transition phase signal and is sampled, by Fu Leaf transformation obtains the real part a of reflection first time sampled signal feature1With imaginary part b1Parameter and second sampled signal feature Real part a2With imaginary part b2Parameter, and then pass through
Intrinsic frequency variation delta f is calculated, wherein T is the sampling period.
2. the on-line prediction method of Coriolis flowmeter intrinsic frequency according to claim 1, it is characterised in that: by Fu Leaf transformation obtains signal characteristic parameter real part a1, a2With imaginary part b1, b2
CN201610267912.4A 2016-04-19 2016-04-19 A kind of on-line prediction method of Coriolis flowmeter intrinsic frequency Expired - Fee Related CN105973349B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610267912.4A CN105973349B (en) 2016-04-19 2016-04-19 A kind of on-line prediction method of Coriolis flowmeter intrinsic frequency

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610267912.4A CN105973349B (en) 2016-04-19 2016-04-19 A kind of on-line prediction method of Coriolis flowmeter intrinsic frequency

Publications (2)

Publication Number Publication Date
CN105973349A CN105973349A (en) 2016-09-28
CN105973349B true CN105973349B (en) 2019-04-09

Family

ID=56993136

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610267912.4A Expired - Fee Related CN105973349B (en) 2016-04-19 2016-04-19 A kind of on-line prediction method of Coriolis flowmeter intrinsic frequency

Country Status (1)

Country Link
CN (1) CN105973349B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113988144B (en) * 2021-12-27 2022-03-08 中国空气动力研究与发展中心设备设计与测试技术研究所 Coriolis flowmeter natural frequency obtaining method

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102095430A (en) * 2010-11-18 2011-06-15 合肥工业大学 Sensor dynamic error frequency-domain correction technology based on step response
CN102435849A (en) * 2011-10-26 2012-05-02 深圳市科陆电子科技股份有限公司 Method for improving frequency measurement precision by using digital filter
CN102506951A (en) * 2011-10-28 2012-06-20 合肥工业大学 Method and system of digital driving following for Coriolis mass flowmeter
CN103983849A (en) * 2014-05-07 2014-08-13 江苏天浩达科技有限公司 Real-time high-accuracy power harmonic analysis method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7343253B2 (en) * 2005-07-11 2008-03-11 Invensys Systems, Inc. Coriolis mode processing techniques

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102095430A (en) * 2010-11-18 2011-06-15 合肥工业大学 Sensor dynamic error frequency-domain correction technology based on step response
CN102435849A (en) * 2011-10-26 2012-05-02 深圳市科陆电子科技股份有限公司 Method for improving frequency measurement precision by using digital filter
CN102506951A (en) * 2011-10-28 2012-06-20 合肥工业大学 Method and system of digital driving following for Coriolis mass flowmeter
CN103983849A (en) * 2014-05-07 2014-08-13 江苏天浩达科技有限公司 Real-time high-accuracy power harmonic analysis method

Also Published As

Publication number Publication date
CN105973349A (en) 2016-09-28

Similar Documents

Publication Publication Date Title
CA2683385C (en) Wet gas measurement
US10139259B2 (en) System and method for metering gas based on amplitude and/or temporal characteristics of an electrical signal
WO2014039873A1 (en) Ultrasonic flow metering using compensated computed temperature
WO2013002656A1 (en) Flow rate determination method and apparatus
CN207317905U (en) Flowmeter calibrating installation
Ghaoud et al. Modelling and tracking a vortex flow-meter signal
CN106092524A (en) A kind of method using vibration signal accurately to extract tach signal
CN106324340B (en) A kind of method of synchronized phasor and frequency measurement dynamic property
CN108333426A (en) Power system frequency measurement method based on fourier algorithm
CN103063913A (en) Frequency tracking method for Fourier transform
CN105973349B (en) A kind of on-line prediction method of Coriolis flowmeter intrinsic frequency
CN101241151B (en) Real time frequency measurement method based on amplitude linear change model
Zhang et al. Mathematical model of time difference for Coriolis flow sensor output signals under gas-liquid two-phase flow
CN112212951A (en) Nonlinear correction method for in-situ calibration of permanent magnet sodium flowmeter based on signal frequency band selection
Świsulski et al. Methods of measurement signal acquisition from the rotational flow meter for frequency analysis
Chen et al. Research on a transit-time liquid ultrasonic flowmeter under unstable flow fields
CN204514403U (en) A kind of differential pressure mass flowmeter for vortex street
Liu et al. Signal processing of Coriolis mass flowmeters under gas-liquid two-phase flow conditions
EP3312573B1 (en) System and method for fluid metering
CN104483549A (en) Phase difference measuring method based on data extension and Hilbert transform
CN114814275A (en) Dynamic calculation method and device for multiphase fluid flow velocity
EP3322962B1 (en) Method for the measurement of an unsteady liquid flow rate, in particular of a high pressure liquid flow
Xin et al. Analysis and optimization of detecton curve of BLTD cementing mud flowmeter
Song et al. Study on detection and location of mobile oil pipeline leakage based on pressure gradient method
Hu et al. Research and implementation of amplitude ratio calculating system for coriolis mass flowmeter

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information
CB02 Change of applicant information

Address after: 325000 Wenzhou City National University Science Park incubator, No. 38 Dongfang South Road, Ouhai District, Wenzhou, Zhejiang

Applicant after: Wenzhou Vocational College of Science and Technology

Address before: 325000 No. 1000 Hongqiao Road, Ouhai District, Wenzhou, Zhejiang, 1000

Applicant before: Wenzhou Vocational College of Science and Technology

GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20190409