CN115615498A - High-precision electromagnetic flowmeter measurement method based on improved wiener deconvolution algorithm - Google Patents
High-precision electromagnetic flowmeter measurement method based on improved wiener deconvolution algorithm Download PDFInfo
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Abstract
The invention relates to the technical field of electromagnetic flow detection, and discloses a high-precision electromagnetic flow meter measuring method based on an improved wiener deconvolution algorithm, which comprises the following steps: placing the two polar plates at the side of the measuring solution, and applying a certain voltage to the excitation coil attached to the pipeline to generate an electromagnetic field with the magnetic field intensity of B; after the electromagnetic field intensity is determined to be B, the diameter D of the solution flowing through the pipeline is obtained, and the electromotive force E of the testing end is obtained; constructing a wiener filter by using an improved wiener inverse convolution algorithm, and restoring an actual signal by carrying out wiener filtering on the electromotive force E at the test end; the wiener filter considers that the solution to be measured is a uniform medium all the time, takes the average value of the previous four sampling values of the expected value as the expected value, and filters partial interference again through convolution and deconvolution; and outputting the instantaneous solution flow and the accumulated flow through the DSP processor. Compared with the prior art, the invention reduces the signal through the improved wiener filtering deconvolution algorithm, and improves the detection precision of the electromagnetic flowmeter.
Description
Technical Field
The invention relates to the technical field of electromagnetic flow detection, in particular to a high-precision electromagnetic flow meter measuring method based on an improved wiener deconvolution algorithm.
Background
In industrial production and manufacturing, accurate measurement of process parameters is a key factor in ensuring production safety and efficiency. The flow measurement is used as a key link of fluid delivery, and the normal and effective operation of a production system is ensured. Flow is typically monitored from two aspects: instantaneous flow and cumulative flow. In industrial processes, instantaneous flow is often used as a feedback information control system to work properly, and people can reasonably and effectively adjust the system according to the obtained flow information. The accurate measurement of the accumulated flow ensures the balance of the material ratio, which has important significance for saving energy, reducing emission and improving production efficiency.
With the continuous development of flowmeters, the types of flowmeters are various, such as coriolis flowmeters, differential pressure flowmeters, electromagnetic flowmeters, vortex shedding flowmeters, and the like, and according to the characteristics and actual use scenes of the measured fluid, the flowmeter is selected in a targeted manner to ensure accurate flow measurement. Among a plurality of flow measuring instruments, the electromagnetic flowmeter is widely applied to the fields of industrial and agricultural production, thermal power generation, energy conservation and emission reduction and the like due to the advantages of simple structure, open flow components, difficulty in blockage, high measuring precision and the like.
However, the conventional electromagnetic flowmeter has many defects in terms of detection accuracy and signal processing, the detection accuracy of the conventional electromagnetic flowmeter is not suitable for high-accuracy chemical reaction, and the use of the high-accuracy electromagnetic flowmeter plays an important role in industrial production.
Disclosure of Invention
The purpose of the invention is as follows: aiming at the problem that the traditional electromagnetic flowmeter cannot solve the problem in the prior art, the invention provides a high-precision electromagnetic flowmeter measuring method based on an improved wiener deconvolution algorithm.
The technical scheme is as follows: the invention provides a high-precision electromagnetic flowmeter measurement method based on an improved wiener deconvolution algorithm, which comprises the following steps of:
step 1: placing the two polar plates at the side of the measuring solution, and applying a certain voltage to the excitation coil attached to the pipeline to generate an electromagnetic field with the magnetic field intensity of B;
step 2: after the electromagnetic field intensity is determined to be B, the diameter D of the pipeline through which the solution flows is obtained, and the electromotive force E of a test end is obtained;
and step 3: constructing a wiener filter by using an improved wiener inverse convolution algorithm, and restoring an actual signal by carrying out wiener filtering on the electromotive force E at the test end; the wiener filter considers that the solution to be measured is a uniform medium all the time, takes the average value of the previous four sampling values of the expected value as the expected value, and filters partial interference again through convolution and deconvolution;
and 4, step 4: and outputting the instantaneous solution flow and the accumulated flow through a DSP processor.
Further, in the step 1 and the step 2, the exciting coil applies voltage to generate a magnetic field, the DSP controls the power supply to enable the exciting coil to generate the magnetic field with the strength B, and the diameter D of the pipeline is manually input into the DSP.
Further, what is obtained by satisfying faraday's law of electromagnetic induction between the electromotive force E at the test end and the electromagnetic field intensity B:
E＝kBDv
in the formula, k is a coefficient, B is a magnetic field intensity, D is the diameter of a measuring pipeline, and v is the flow velocity;
the relationship between the volume flow and the flow rate is:
the relationship between the volume flow and the electromotive force is as follows:
the diameter of the pipeline is determined, the magnetic field intensity is determined, the volume flow and the electromotive force are in a linear relation, and the instantaneous electromotive force and the accumulated flow can be calculated after the electromotive force E is picked up by the DSP.
Further, the step 3 of constructing the wiener filter by using the improved wiener deconvolution algorithm specifically includes the following steps:
step 3.1: for a linear time invariant system, the electromotive force is also of this type, and the transmission process can be expressed as:
wherein y (t) is an output signal obtained by the system; h (t-tau) is the impulse response of the measuring system at the time of tau; x (tau) is the original input signal at tau time; performing a Fourier transform can represent the above equation as
Y(ω)＝H(ω)X(ω)
In the formula, Y (ω), H (ω), and X (ω) are fourier transforms of Y (t), H (t), and X (t), respectively, and are converted into a form in the frequency domain, and the signal is restored as follows:
then changing X (omega) into X (t) through inverse Fourier transform, namely, an input signal;
but because of the existence of the noise signal e (t), the signal transmission process is as follows:
the corresponding fourier transform is then:
Y(ω)＝H(ω)X(ω)+E(ω)
where E (ω) is the fourier transform of E (t), the reduction process under consideration of the noise signal should actually be:
step 3.2: in order to construct the wiener filter, H (omega) is estimated by measuring the square wave response of the system and using a least square method to obtain
And performing fast Fourier transform, and constructing a filter required by deconvolution reduction according to the wiener filter principle as follows:
where γ is a constant in the output result and is represented by the noise power spectrum S e (omega) with the signal power spectrum S y (ω) determined by:
the coefficient γ > 0, and the degree of signal reduction is determined by the coefficient, the estimated value of the reduction signal can be expressed as:
since the measured liquid is always a homogeneous medium, the average of the previous four sampled values is taken as the desired value and an error E is introduced old (ω) is:
E old ＝Y(ω)-X 0 (ω)H(ω)
this error is taken into the inputter, resulting in a new estimate:
thus, the resulting deconvolution error is:
E new (ω)＝Y(ω)-X 1 (ω)H(ω)
rewriting the above formula yields:
since γ > 0 and | H (ω) | ≧ 0, there are:
|E new | 2 ≤|E old | 2 。
has the beneficial effects that:
the invention considers that the solution to be detected is always a uniform medium, so the average value of the previous four sampling values of the expected value in the wiener filter is taken as the expected value, and the detection error caused by interference can be effectively avoided. The detection precision of the electromagnetic flowmeter is improved to a certain extent from the aspect of signal processing, signals are restored through an improved wiener filtering deconvolution algorithm, namely, partial interference is filtered again through convolution and deconvolution, and the detection precision of the electromagnetic flowmeter is improved.
Drawings
FIG. 1 is a schematic diagram of the operation of an electromagnetic flowmeter;
FIG. 2 is a signal processing process based on a wiener filter;
FIG. 3 is a flow chart of the improved wiener deconvolution algorithm.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Referring to fig. 1 to 3, the invention provides a high-precision electromagnetic flowmeter measurement method based on an improved wiener deconvolution algorithm, which comprises the following steps:
step 1: the two polar plates are placed at the side of the measuring solution, and a certain voltage is applied to the excitation coil attached to the pipeline to generate an electromagnetic field with the magnetic field intensity of B.
Step 2: and after the electromagnetic field intensity is determined to be B, obtaining the electromotive force E at the test end when the solution flows through the diameter D of the pipeline.
The exciting coil applies voltage to generate a magnetic field, the power supply is controlled by the DSP, so that the exciting coil generates a magnetic field with the strength of B, and the diameter D of the pipeline is manually input into the DSP.
Further, what is obtained by satisfying Faraday's law of electromagnetic induction between the test end electromotive force E and the electromagnetic field intensity B:
E＝kBDv
in the formula, k is a coefficient, B is a magnetic field intensity, D is a diameter of a measuring pipeline, and v is a flow velocity;
the relationship between the volume flow and the flow rate is:
the relationship between the volume flow and the electromotive force is as follows:
the diameter of the pipeline is determined, the magnetic field intensity is determined, the volume flow and the electromotive force are in a linear relation, and the instantaneous electromotive force and the accumulated flow can be calculated after the electromotive force E is picked up by the DSP.
And step 3: constructing a wiener filter by using an improved wiener inverse convolution algorithm, and restoring an actual signal by carrying out wiener filtering on the electromotive force E at the test end; the wiener filter considers that the solution to be detected is always a uniform medium, takes the average value of the previous four sampling values of the expected value as the expected value, and filters out partial interference again through convolution and deconvolution.
Step 3.1: for a linear time invariant system, the electromotive force is also of this type, and the transmission process can be expressed as:
wherein y (t) is an output signal obtained by the system; h (t-tau) is the impulse response of the measuring system at the time of tau; x (tau) is the original input signal at tau; performing a Fourier transform can represent the above equation as
Y(ω)＝H(ω)X(ω)
In the formula, Y (ω), H (ω), and X (ω) are fourier transforms of Y (t), H (t), and X (t), respectively, and are converted into a form in the frequency domain, and the signal is restored as follows:
then x (omega) is changed into x (t) through inverse Fourier transform, namely the input signal;
but because of the existence of the noise signal e (t), the signal transmission process is as follows:
the corresponding fourier transform is:
Y(ω)＝H(ω)X(ω)+E(ω)
where E (ω) is the fourier transform of E (t), the reduction process under consideration of the noise signal should actually be:
step 3.2: in order to construct the wiener filter, H (omega) is estimated by measuring the square wave response of the system and using a least square method to obtain
And performing fast Fourier transform, and constructing a filter required by deconvolution reduction according to the wiener filter principle as follows:
where γ is a constant in the output result and is represented by the noise power spectrum S e Power spectrum S of (omega) and signal y (ω) determined by:
the coefficient γ > 0, and the degree of signal reduction is determined by the coefficient, the estimated value of the reduction signal can be expressed as:
since the measured liquid is always a homogeneous medium, the average of the previous four sampled values is taken as the desired value and an error E is introduced old (ω) is:
E old ＝Y(ω)-X 0 (ω)H(ω)
this error is taken into the inputter, resulting in a new estimate:
thus, the resulting deconvolution error is:
E new (ω)＝Y(ω)-X 1 (ω)H(ω)
rewriting the above formula yields:
since γ > 0 and | H (ω) | ≧ 0, there are:
|E new | 2 ≤|E old | 2 。
and 4, step 4: and outputting the instantaneous solution flow and the accumulated flow through the DSP processor.
The above embodiments are merely illustrative of the technical concepts and features of the present invention, and the purpose of the embodiments is to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the protection scope of the present invention. All equivalent changes and modifications made according to the spirit of the present invention should be covered in the protection scope of the present invention.
Claims (4)
1. A high-precision electromagnetic flowmeter measurement method based on an improved wiener deconvolution algorithm is characterized by comprising the following steps:
step 1: placing the two polar plates at the side of the measuring solution, and applying a certain voltage to the excitation coil attached to the pipeline to generate an electromagnetic field with the magnetic field intensity of B;
step 2: after the electromagnetic field intensity is determined to be B, the diameter D of the pipeline through which the solution flows is obtained, and the electromotive force E of a test end is obtained;
and step 3: constructing a wiener filter by using an improved wiener deconvolution algorithm, and restoring an actual signal by carrying out wiener filtering on the electromotive force E at the test end; the wiener filter considers that the solution to be detected is always a uniform medium, takes the average value of the previous four sampling values of the expected value as the expected value, and filters out partial interference again through convolution and deconvolution;
and 4, step 4: and outputting the instantaneous solution flow and the accumulated flow through the DSP processor.
2. The improved wiener deconvolution algorithm-based high-precision electromagnetic flowmeter measuring method as claimed in claim 1, wherein in the step 1 and the step 2, the exciting coil applies voltage to generate a magnetic field, the power supply is controlled by the DSP, so that the exciting coil generates a magnetic field with the strength B, and the diameter D of the pipeline is manually input into the DSP.
3. The improved wiener deconvolution algorithm-based high-precision electromagnetic flowmeter measuring method as claimed in claim 2, wherein the distance between the test-end electromotive force E and the electromagnetic field strength B satisfies Faraday's law of electromagnetic induction:
E＝kBDv
in the formula, k is a coefficient, B is a magnetic field intensity, D is a diameter of a measuring pipeline, and v is a flow velocity;
the relationship between the volume flow and the flow rate is:
the relationship between the volume flow and the electromotive force is as follows:
the diameter of the pipeline is determined, the magnetic field intensity is determined, the volume flow and the electromotive force are in a linear relation, and the instantaneous electromotive force and the accumulated flow can be calculated after the electromotive force E is picked up by the DSP.
4. The improved wiener deconvolution algorithm-based high-precision electromagnetic flowmeter measuring method according to claim 1, wherein the step 3 of constructing the wiener filter by using the improved wiener deconvolution algorithm specifically comprises the steps of:
step 3.1: for a linear time invariant system, the electromotive force is also of this type, and the transmission process can be expressed as:
wherein y (t) is an output signal obtained by the system; h (t-tau) is the impulse response of the measuring system at the time tau; x (tau) is the original input signal at tau; performing a Fourier transform can represent the above equation as
Y(ω)＝H(ω)X(ω)
In the formula, Y (ω), H (ω), and X (ω) are fourier transforms of Y (t), H (t), and X (t), respectively, and are converted into a form in the frequency domain, and the signal is restored as follows:
then changing X (omega) into X (t) through inverse Fourier transform, namely, an input signal;
but because of the existence of the noise signal e (t), the signal transmission process is as follows:
the corresponding fourier transform is then:
Y(ω)＝H(ω)X(ω)+E(ω)
where E (ω) is the fourier transform of E (t), the reduction process under consideration of the noise signal should actually be:
step 3.2: in order to construct the wiener filter, H (omega) is estimated by measuring the square wave response of the system and using a least square method to obtain
And performing fast Fourier transform, and constructing a filter required by deconvolution reduction according to the wiener filter principle as follows:
where γ is a constant in the output result and is represented by the noise power spectrum S e (omega) with the signal power spectrum S y (ω) determined by:
the coefficient γ > 0, and the degree of signal reduction is determined by the coefficient, the estimated value of the reduction signal can be expressed as:
since the measured liquid is always a homogeneous medium, the average of the previous four sampled values is taken as the desired value and an error E is introduced old (ω) is:
E old ＝Y(ω)-X 0 (ω)H(ω)
this error is taken into the inputter, resulting in a new estimate:
thus, the resulting deconvolution error is:
E new (ω)＝Y(ω)-X 1 (ω)H(ω)
rewriting the above formula yields:
since γ > 0 and | H (ω) | ≧ 0, there are:
|E new | 2 ≤|E old | 2 。
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Application publication date: 20230117 |