CN118111540A - AI intelligent flowmeter for blast furnace leak detection - Google Patents
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Abstract
The invention discloses an AI intelligent flowmeter for blast furnace leak detection, which relates to the technical field of flowmeters and comprises an experiment group setting module, an experiment vibration frequency interval acquisition module, a test data analysis module, a real-time flow compensation value acquisition module and an actual output flow acquisition module; according to the vibration interval where the vibration values of all directions received by the flowmeter in real time are located, the deviation coefficients corresponding to the vibration values of all directions received by the flowmeter in real time are obtained, the compensation values corresponding to all directions are obtained, the real-time deviation values corresponding to the flowmeter are finally obtained, real-time compensation of the output flow of the flowmeter is achieved, accurate correction of the output flow of the flowmeter is successfully achieved, the intelligent compensation mode can adapt to different vibration conditions, the influence of vibration on the measurement accuracy of the flowmeter is improved, and the accuracy of blast furnace leakage detection is improved.
Description
Technical Field
The invention relates to the technical field of flowmeters, in particular to an AI intelligent flowmeter for blast furnace leakage detection.
Background
The AI intelligent flowmeter for detecting leakage of blast furnace is one combined artificial intelligent technology and traditional fluid measuring technology for detecting the flow rate of gas or liquid in industrial environment, and can identify leakage; the AI intelligent flowmeter adopts an advanced machine learning algorithm to analyze flow data so as to identify a flow mode and abnormal conditions, thereby accurately detecting leakage and improving the accuracy and efficiency of leakage detection;
However, in practical engineering, the pipeline may be simultaneously affected by vibrations from multiple directions, these vibrations may originate from machine operation, fluid flow, environmental factors (such as wind, earthquake, etc.), or other external forces, when the pipeline is vibrated, the measurement principle of the flowmeter may be affected, resulting in errors in measurement results, specifically, the vibrations may change the natural frequency of the measurement pipe, affect the stability of parameters, and thus cause fluctuations in measurement results, resulting in deviations or distortions in measurement results, and affecting the effect of leakage detection on the blast furnace.
Disclosure of Invention
The invention aims to provide an AI intelligent flowmeter for blast furnace leak detection, which solves the technical problem that when a pipeline is vibrated, the measurement principle of the flowmeter is possibly influenced, so that an error occurs in a measurement result.
The aim of the invention can be achieved by the following technical scheme:
an AI intelligent flowmeter for blast furnace leak detection, comprising:
Experiment group setting module: setting a plurality of experimental flowmeters as an experimental group;
the experimental vibration frequency interval acquisition module: obtaining an experimental vibration frequency interval according to a plurality of preset experimental vibration frequencies;
test data analysis module: testing the flowmeter in different experimental vibration frequency intervals, and acquiring and analyzing data to obtain compensation values corresponding to the flowmeter in each vibration direction in the different experimental vibration frequency intervals;
The real-time flow compensation value acquisition module is used for: calculating to obtain a real-time flow compensation value according to the real-time vibration frequency of the pipeline and the corresponding compensation value;
the actual output flow acquisition module: and combining the real-time flow value and the real-time flow compensation value to obtain and display the actual output flow.
As a further scheme of the invention: the specific mode for obtaining the experimental vibration frequency interval is as follows:
Setting a series of experimental vibration frequencies to be A1, A2, … … and Aa respectively, sequencing the experimental vibration frequencies according to the corresponding values of the set experimental vibration frequencies in sequence from small to large, forming a vibration interval by every two adjacent experimental vibration frequencies, forming the vibration interval by the adjacent experimental vibration frequencies, and further obtaining b experimental vibration frequency intervals, wherein a is more than or equal to 1, and b is more than or equal to 1.
As a further scheme of the invention: the specific mode for obtaining the compensation values corresponding to the vibration directions of the flowmeter in different experimental vibration frequency intervals is as follows:
Firstly, selecting an experimental vibration frequency interval and a testing direction, setting a plurality of testing vibration frequencies in the testing direction, acquiring flow data of an experimental flowmeter under each testing vibration frequency in the testing direction, and comparing the flow data with flow data of a control group, namely under the condition of no vibration, so as to calculate deviation values respectively corresponding to each testing vibration frequency of the experimental flowmeter in the testing direction;
Then, obtaining a correlation value G1 between the test vibration frequency and the deviation value when the experimental flowmeter is in the test direction in the target interval through a Pelson correlation formula, and obtaining compensation values respectively corresponding to the flowmeter in each vibration direction in the target interval according to a comparison result of the absolute value of the correlation value and a preset value Y1;
finally, by repeating the steps, compensation values respectively corresponding to the flowmeter in each vibration direction in each experimental vibration frequency interval can be obtained.
As a further scheme of the invention: the specific way for obtaining the deviation values corresponding to the test vibration frequencies of the experimental flowmeter in the test direction is as follows:
S1: selecting an experimental vibration frequency interval as a target interval;
s2: selecting one vibration direction as a test direction;
S3: setting a plurality of test vibration frequencies in a target interval in a test direction;
Obtaining test data respectively corresponding to each test vibration frequency of the experimental flowmeter in the test direction in the target interval;
Respectively marking flow data corresponding to each test vibration frequency of the experimental flowmeter in the test direction as B1, B2, … … and Bc, respectively marking each test vibration frequency as C1, C2, … … and Cc, wherein C refers to the number corresponding to the test vibration frequency, and C is more than or equal to 1;
obtaining flow data corresponding to a target interval of a control flowmeter in a control group, taking the flow data as control data, and respectively marking the flow data as D1, D2, … … and DZ, wherein Z is more than or equal to 1;
obtaining Bc-DZ=ec through a formula, and obtaining deviation values E1, E2, … … and Ec corresponding to each test vibration frequency of the experimental flowmeter in the test direction.
As a further scheme of the invention: the specific mode of setting the control group is as follows:
a flow meter, which is equal to the experimental flow meter except that there is no vibration in the test direction, was set as a control flow meter, and was set as a control group.
As a further scheme of the invention: the compensation values respectively corresponding to the flowmeter in each vibration direction in the target interval are obtained by the following specific modes:
When the absolute value of the correlation value G1 is larger than or equal to a preset value Y1, deviation values EA and EB corresponding to the maximum value and the minimum value in each test vibration frequency Cc are obtained, a correlation coefficient K corresponding to the test vibration frequency in the test direction and the deviation value in a target interval is obtained through calculation according to K= (EA-EB)/(Cmax-Cmin), a compensation value P11 corresponding to the flowmeter in the test direction in the target interval is obtained through calculation according to P11=KxMA x theta 1, wherein MA is the real-time vibration frequency corresponding to a flow pipeline, and theta 1 is a preset fixed coefficient; when the absolute value of the correlation value G1 is smaller than the preset value Y1, the average value Ep of the deviation value Ec is used as a compensation value P11 corresponding to the flowmeter in the test direction in the target interval.
As a further scheme of the invention: the specific way of obtaining the real-time flow compensation value corresponding to the flowmeter is as follows:
and determining a corresponding experimental vibration frequency interval and compensation values according to the real-time vibration frequency of the pipeline in each vibration direction, and adding the compensation values in each vibration direction to obtain a real-time flow compensation value WB.
As a further scheme of the invention: the specific way of obtaining the actual output flow corresponding to the flowmeter is as follows:
And obtaining a real-time flow value corresponding to the flowmeter, marking the real-time flow value as L, marking the sum of the real-time flow value corresponding to the flowmeter and the real-time flow value corresponding to the flowmeter as actual output flow SC, and displaying the actual output flow SC through the flowmeter.
As a further scheme of the invention: the vibration directions are axial, vertical and horizontal directions.
As a further scheme of the invention: axial vibration: refers to a conduit along its length; vertical vibration: refers to vibration of the pipe in a direction perpendicular to the ground; horizontal vibration: refers to vibration in a direction parallel to the length direction of the pipe.
The invention has the beneficial effects that:
According to the invention, the monitoring data corresponding to the condition of no vibration of the pipeline and the monitoring data corresponding to the condition of different vibration of the pipeline are compared, so that the influence of vibration of the pipeline on the flowmeter in different directions is obtained, the deviation coefficient corresponding to the vibration value in each direction of the flowmeter in real time is obtained according to the vibration interval where the vibration value in each direction of the flowmeter is located, the compensation value corresponding to each direction is obtained, the real-time deviation value corresponding to the flowmeter is finally obtained, the real-time compensation of the output flow of the flowmeter is realized, the accurate correction of the output flow of the flowmeter is successfully realized, the intelligent compensation mode can be adaptive to different vibration conditions, the influence of vibration on the measurement accuracy of the flowmeter is remarkably reduced, and the accuracy of leakage detection of a blast furnace is improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of a system framework of an AI intelligent flowmeter for blast furnace leak detection of the present invention;
FIG. 2 is a schematic diagram of the framework structure of the method of the AI intelligent flowmeter for blast furnace leak detection.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
1-2, The invention discloses an AI intelligent flowmeter for leakage detection of a blast furnace, which comprises an experiment group setting module, an experiment vibration frequency interval acquisition module, a test data analysis module, a real-time flow compensation value acquisition module and an actual output flow acquisition module;
the experiment group setting module is used for setting a plurality of experiment flow meters in a laboratory, taking the experiment flow meters as an experiment group, and carrying out vibration tests on the plurality of experiment flow meters in the experiment group in different vibration directions;
it should be noted that, the vibration environment of the pipeline can be simulated by the devices such as the vibration table, and the vibration frequencies of the pipeline in different vibration directions are specifically simulated to evaluate the influence of the vibration of the pipeline in different vibration directions on the flowmeter;
Be provided with including shaking table, support, pipeline and flowmeter in the laboratory, the shaking frequency in the laboratory defaults can simulate the actual operating mode, can set up different shaking frequencies on the shaking table, for example sets up to: the vibration frequency is adopted for testing at 40Hz, 100Hz, 200Hz and the like, and is an important parameter for describing the vibration characteristics of the pipeline, so that the vibration size and the periodicity can be directly reflected, the working state and the measurement accuracy of the flowmeter are further affected, the influence of the vibration on the flowmeter can be effectively evaluated by analyzing and testing the performance of the flowmeter under different vibration frequencies, and the basis is provided for subsequent compensation and correction;
the experimental vibration frequency interval acquisition module is used for acquiring an experimental vibration frequency interval according to a plurality of preset experimental vibration frequencies, and is convenient for carrying out vibration tests on different vibration directions on the flowmeter according to the experimental vibration frequency interval, and the specific mode is as follows:
The preset experimental vibration frequencies are A1, A2, … … and Aa respectively, wherein a refers to the number corresponding to the preset experimental vibration frequencies, and a is more than or equal to 1;
Sequentially sequencing the set experimental vibration frequencies according to the corresponding values of the experimental vibration frequencies from small to large, and forming a vibration interval by every two adjacent experimental vibration frequencies to obtain b experimental vibration frequency intervals, wherein a=b, and b is more than or equal to 1;
The test data analysis module is used for carrying out vibration test on the flowmeter in each vibration direction in each experimental vibration frequency interval, acquiring test data in each vibration direction in each experimental vibration frequency interval, and analyzing the test data at the same time to further obtain compensation values respectively corresponding to the flowmeter in each vibration direction in each experimental vibration frequency interval in a specific mode;
The vibration directions are axial, vertical and horizontal directions, and axial vibration: the vibration of the pipeline along the length direction of the pipeline, namely the direction of fluid flow, if the pipeline is imagined to be a long stick, the axial vibration is just like the expansion or shaking of the stick along the length of the long stick; vertical vibration: the vibration of the pipeline in the direction vertical to the ground is referred to as vertical vibration, if the pipeline is vertically installed, the vibration of the pipeline in the up-down direction is referred to as vertical vibration; if the pipeline is horizontally installed, vertical vibration is expressed as shaking of the pipeline in the left-right direction and vertical to the length direction of the pipeline; horizontal vibration: for a horizontally mounted pipe, horizontal vibration refers to vibration of the pipe in a direction parallel to the length direction on the mounting plane thereof, and if the pipe is vertically mounted, horizontal vibration is expressed as circular motion of the pipe in the plane thereof;
S1: selecting an experimental vibration frequency interval as a target interval;
s2: selecting one vibration direction as a test direction;
S3: setting a plurality of test vibration frequencies in a target interval in a test direction;
Obtaining test data corresponding to each test vibration frequency of the test flow meter in the test direction in the target interval, wherein the test data are flow data corresponding to each test vibration frequency of the test flow meter in the test direction;
Respectively marking flow data corresponding to each test vibration frequency of the experimental flowmeter in the test direction as B1, B2, … … and Bc, respectively marking each test vibration frequency as C1, C2, … … and Cc, wherein C refers to the number corresponding to the test vibration frequency, and C is more than or equal to 1;
Meanwhile, a comparison group is arranged, namely, a flowmeter which is equal to the experimental flowmeter except that vibration does not exist in the test direction is arranged as a comparison flowmeter, and meanwhile, the flowmeter is used as the comparison group;
obtaining flow data corresponding to a target interval of a comparison flowmeter, taking the flow data as comparison data, and respectively marking the flow data as D1, D2, … … and DZ, wherein Z is more than or equal to 1;
obtaining Bc-DZ=ec through a formula, and obtaining deviation values E1, E2, … … and Ec corresponding to each test vibration frequency of the experimental flowmeter in the test direction;
s4: obtaining a correlation value between the test vibration frequency and the deviation value when the experimental flowmeter is in the test direction in the target interval through a Pearson correlation formula, and obtaining a compensation formula corresponding to the flowmeter in the test direction in the target interval according to the corresponding correlation value, wherein the specific mode is as follows:
By pearson correlation formula ; Calculating to obtain a correlation value G1 between the test vibration frequency and the deviation value when the experimental flowmeter is in the test direction in the target interval, wherein Cp and Ep are the average value of each deviation value Ec and test vibration frequency Cc respectively, and c is more than or equal to i and more than or equal to 1;
When the absolute value of the correlation value G1 is greater than or equal to a preset value Y1, the correlation between the test vibration frequency and the deviation value is stronger when the experimental flowmeter is in the test direction in the target interval, deviation values EA and EB corresponding to the maximum value and the minimum value in the test vibration frequency Cc are obtained, and a correlation coefficient K corresponding to the test vibration frequency and the deviation value in the test direction in the target interval is obtained through calculation according to K= (EA-EB)/(Cmax-Cmin), wherein Cmax is the maximum value in Cc, and Cmin is the minimum value in Cc;
calculating to obtain a compensation value P11 corresponding to the flowmeter in the test direction in the target interval through P11=K×MA×θ1, wherein MA is the real-time vibration frequency corresponding to the flow pipeline;
When the absolute value of the correlation value G1 is smaller than the preset value Y1, the correlation between the test vibration frequency and the deviation value is weak even no correlation when the experimental flowmeter is in the test direction in the target interval, and the average Ep of the deviation value Ec is used as a compensation value P11 corresponding to the flowmeter in the test direction in the target interval, namely p11=ep; here, Y1 is a preset value, theta 1 is a preset fixed coefficient, and specific values of Y1 and theta 1 are set by related personnel according to actual requirements, wherein Y1 is more than or equal to 0.7;
S5: repeating the steps S1-S4 to obtain compensation values P1f corresponding to the flowmeter in each vibration direction in the target interval, wherein f is the number corresponding to the vibration direction, and f is more than or equal to 1;
S6: repeating the steps S1-S5 to obtain compensation values Pbf of the flowmeter, which correspond to the vibration directions in the experimental vibration frequency intervals respectively;
The measurement deviation of the flowmeter in different vibration directions in each experimental vibration frequency interval is reflected through the corresponding compensation value Pbf in each vibration direction in each experimental vibration frequency interval, and a basis is provided for subsequent real-time flow compensation;
The real-time flow compensation value acquisition module is used for acquiring real-time vibration frequencies corresponding to the pipelines in all vibration directions respectively and acquiring real-time flow compensation values corresponding to the flowmeter according to the real-time vibration frequencies, and the concrete mode is as follows:
According to the real-time vibration frequencies respectively corresponding to the pipeline in each vibration direction, obtaining experimental vibration frequency intervals respectively corresponding to the pipeline in each vibration direction, obtaining compensation values respectively corresponding to the pipeline in each vibration direction according to the experimental vibration frequency intervals, and marking the sum of the compensation values respectively corresponding to the vibration directions as a real-time flow compensation value WB corresponding to the flowmeter;
For example, the real-time vibration frequency MA of the pipeline is obtained, if the real-time vibration frequency of the pipeline is located in the target interval, the compensation values P1f corresponding to the pipeline in each vibration direction in the target interval are obtained, and the sum of the compensation values P1f is used as the real-time flow compensation value WB corresponding to the flowmeter, namely by the formula Calculating to obtain a real-time flow compensation value WB corresponding to the flowmeter, wherein f is more than or equal to j is more than or equal to 1;
the actual output flow obtaining module is used for obtaining the actual output flow corresponding to the flowmeter according to the real-time flow value and the real-time flow compensation value corresponding to the flowmeter in a specific mode;
Acquiring a real-time flow value corresponding to the flowmeter, marking the real-time flow value as L, marking the sum of the real-time flow value corresponding to the flowmeter and the real-time flow value corresponding to the flowmeter as an actual output flow SC, and displaying the actual output flow SC through the flowmeter;
The method comprises the steps of comparing, analyzing and calculating corresponding monitoring data under the condition of no vibration of a pipeline with corresponding monitoring data under different vibration conditions of the pipeline, further obtaining influences of vibration of the pipeline on the flowmeter in different directions, obtaining deviation coefficients corresponding to vibration values of the flowmeter in all directions according to vibration intervals of the vibration values of the flowmeter in all directions, which are received in real time, further obtaining compensation values corresponding to the vibration values of the flowmeter in all directions, finally obtaining real-time deviation values corresponding to the flowmeter, realizing real-time compensation of output flow of the flowmeter, successfully realizing accurate correction of output flow of the flowmeter, and improving measuring accuracy and stability of the flowmeter by adopting an intelligent compensation mode, wherein the influence of vibration on measuring accuracy of the flowmeter is remarkably reduced, and the accuracy of leakage detection of a blast furnace is improved.
The above formulas are all formulas with dimensionality removed and numerical calculation, the formulas are formulas with the latest real situation obtained by software simulation through collecting a large amount of data, and preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. An AI intelligent flowmeter for blast furnace leak detection, comprising:
Experiment group setting module: setting a plurality of experimental flowmeters as an experimental group;
the experimental vibration frequency interval acquisition module: obtaining an experimental vibration frequency interval according to a plurality of preset experimental vibration frequencies;
test data analysis module: testing the flowmeter in different experimental vibration frequency intervals, and acquiring and analyzing data to obtain compensation values corresponding to the flowmeter in each vibration direction in the different experimental vibration frequency intervals;
The real-time flow compensation value acquisition module is used for: calculating to obtain a real-time flow compensation value according to the real-time vibration frequency of the pipeline and the corresponding compensation value;
the actual output flow acquisition module: and combining the real-time flow value and the real-time flow compensation value to obtain and display the actual output flow.
2. The AI intelligent flowmeter for blast furnace leak detection according to claim 1, wherein the specific manner of obtaining the experimental vibration frequency interval is:
Setting a series of experimental vibration frequencies to be A1, A2, … … and Aa respectively, sequencing the experimental vibration frequencies according to the corresponding values of the set experimental vibration frequencies in sequence from small to large, forming a vibration interval by every two adjacent experimental vibration frequencies, forming the vibration interval by the adjacent experimental vibration frequencies, and further obtaining b experimental vibration frequency intervals, wherein a is more than or equal to 1, and b is more than or equal to 1.
3. The AI intelligent flowmeter for blast furnace leak detection according to claim 2, wherein the specific way of obtaining the compensation values corresponding to each vibration direction of the flowmeter in different experimental vibration frequency intervals is as follows:
Firstly, selecting an experimental vibration frequency interval and a testing direction, setting a plurality of testing vibration frequencies in the testing direction, acquiring flow data of an experimental flowmeter under each testing vibration frequency in the testing direction, and comparing the flow data with data of a comparison group, namely the flowmeter under the condition of no vibration, so as to calculate deviation values respectively corresponding to each testing vibration frequency of the experimental flowmeter in the testing direction;
Then, obtaining a correlation value G1 between the test vibration frequency and the deviation value when the experimental flowmeter is in the test direction in the target interval through a Pelson correlation formula, and obtaining compensation values respectively corresponding to the flowmeter in each vibration direction in the target interval according to a comparison result of the absolute value of the correlation value and a preset value Y1;
finally, by repeating the steps, compensation values respectively corresponding to the flowmeter in each vibration direction in each experimental vibration frequency interval can be obtained.
4. The AI intelligent flowmeter for blast furnace leak detection according to claim 3, wherein the specific means for obtaining the deviation values corresponding to the test vibration frequencies of the experimental flowmeter in the test direction are as follows:
S1: selecting an experimental vibration frequency interval as a target interval;
s2: selecting one vibration direction as a test direction;
S3: setting a plurality of test vibration frequencies in a target interval in a test direction;
Obtaining test data respectively corresponding to each test vibration frequency of the experimental flowmeter in the test direction in the target interval;
Respectively marking flow data corresponding to each test vibration frequency of the experimental flowmeter in the test direction as B1, B2, … … and Bc, respectively marking each test vibration frequency as C1, C2, … … and Cc, wherein C refers to the number corresponding to the test vibration frequency, and C is more than or equal to 1;
obtaining flow data corresponding to a target interval of a control flowmeter in a control group, taking the flow data as control data, and respectively marking the flow data as D1, D2, … … and DZ, wherein Z is more than or equal to 1;
obtaining Bc-DZ=ec through a formula, and obtaining deviation values E1, E2, … … and Ec corresponding to each test vibration frequency of the experimental flowmeter in the test direction.
5. The AI intelligent flowmeter for blast furnace leak detection of claim 4, wherein the specific means for setting the control group is:
a flow meter, which is equal to the experimental flow meter except that there is no vibration in the test direction, was set as a control flow meter, and was set as a control group.
6. The AI intelligent flowmeter for blast furnace leak detection of claim 5, wherein compensation values respectively corresponding to the flowmeter in each vibration direction in the target interval are obtained by:
When the absolute value of the correlation value G1 is larger than or equal to a preset value Y1, deviation values EA and EB corresponding to the maximum value and the minimum value in each test vibration frequency Cc are obtained, a correlation coefficient K corresponding to the test vibration frequency in the test direction and the deviation value in a target interval is obtained through calculation according to K= (EA-EB)/(Cmax-Cmin), a compensation value P11 corresponding to the flowmeter in the test direction in the target interval is obtained through calculation according to P11=KxMA x theta 1, wherein MA is the real-time vibration frequency corresponding to a flow pipeline, and theta 1 is a preset fixed coefficient; when the absolute value of the correlation value G1 is smaller than the preset value Y1, the average value Ep of the deviation value Ec is used as a compensation value P11 corresponding to the flowmeter in the test direction in the target interval.
7. The AI intelligent flowmeter for blast furnace leak detection of claim 6, wherein the specific manner of obtaining the real-time flow compensation value corresponding to the flowmeter is:
and determining a corresponding experimental vibration frequency interval and compensation values according to the real-time vibration frequency of the pipeline in each vibration direction, and adding the compensation values in each vibration direction to obtain a real-time flow compensation value WB.
8. The AI intelligent flowmeter for blast furnace leak detection of claim 7, wherein the specific manner of obtaining the actual output flow corresponding to the flowmeter is:
And obtaining a real-time flow value corresponding to the flowmeter, marking the real-time flow value as L, marking the sum of the real-time flow value corresponding to the flowmeter and the real-time flow value corresponding to the flowmeter as actual output flow SC, and displaying the actual output flow SC through the flowmeter.
9. The AI intelligent flowmeter for blast furnace leak detection of claim 8, wherein the vibration directions are axial, vertical and horizontal.
10. The AI intelligent flowmeter for blast furnace leak detection of claim 9, wherein the AI intelligent flowmeter vibrates axially: refers to a conduit along its length; vertical vibration: refers to vibration of the pipe in a direction perpendicular to the ground; horizontal vibration: refers to vibration in a direction parallel to the length direction of the pipe.
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| CN114526796A (en) * | 2022-02-16 | 2022-05-24 | 安徽省锐凌计量器制造有限公司 | Flowmeter coefficient dynamic correction method for improving range ratio |
| CN116659630A (en) * | 2023-07-27 | 2023-08-29 | 南京天梯自动化设备股份有限公司 | Mass flowmeter standard meter on-line verification system based on Reynolds number compensation |
| CN117848426A (en) * | 2024-01-10 | 2024-04-09 | 晶锋集团股份有限公司 | High-precision vibration-resistant wide-temperature vortex shedding flowmeter |
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