Turbine flowmeter calibration performance analysis method, device, equipment and storage medium

Abstract

The application provides a turbine flowmeter calibration performance analysis method, device, equipment and storage medium, and the method comprises the steps of: constructing a Reynolds number calculation model and determining a low Reynolds number interval and a high Reynolds number interval; constructing a slip ratio acquisition model according to the fluid characteristics of the turbine flowmeter, and obtaining a first slip ratio of the turbine flowmeter in the low Reynolds number interval and a second slip ratio of the turbine flowmeter in the high Reynolds number interval from the slip ratio acquisition model; comparing the change trend of the first slip ratio with the change trend of the second slip ratio with the change trend corresponding to the calibration error of the calibration device along with the flow, and determining the calibration performance of the calibration device. The application can obtain the change trend of the slip ratio affected by the fluid characteristics in the corresponding Reynolds number interval, analyze the calibration performance difference of the calibration device by using the change trend of the slip ratio and the change trend of the corresponding calibration result, and can provide effective guidance for the evaluation and selection of the calibration device in engineering application.

Description

Technical Field

[0001] This invention relates to the field of turbine flow meter calibration technology, and specifically to a turbine flow meter calibration performance analysis method, device, and storage medium. Background Technology

[0002] Turbine flow meters are widely used in the metering of natural gas and petrochemical products. In many cases, the flow meters need to be calibrated using different fluids. The calibration process involves comparing the flow rate through a standard with the flow rate through the turbine flow meter under test in a gas flow calibration device, taking the difference, and processing it to obtain the metering accuracy of the flow meter under test. The reliability and accuracy of the calibration process are affected by various factors such as fluid medium, temperature, and pressure. Superficially, the reliability of the calibration results is reflected in the indication error of the turbine flow meter. However, fundamentally, the root cause of the error lies in the difference between the rotor speed under ideal conditions and the speed during the actual calibration process, thus leading to the difference in calibration results.

[0003] Currently, the industry has conducted extensive research on the calibration error and performance analysis of turbine flow meters, mainly focusing on the following aspects: Firstly, analyzing the impact of the calibration device structure and related equipment on the calibration process to determine the applicable range of different calibration device structures, such as sonic nozzle type, negative pressure air type, positive pressure air type, and high-pressure natural gas type. Secondly, analyzing the composition of calibration device uncertainties one by one, such as the uncertainties introduced during turbine flow meter counting pulse acquisition, pressure measurement, and temperature measurement, determining their values ​​through source tracing and experimental methods, and finally using Bessel's equations to synthesize the overall uncertainty. This is also the main method used in the industry for calibration error analysis. Additionally, starting from the calibration result data, curve fitting is used to correct deviations generated during the calibration process, such as the residual method and the least squares method. However, none of the above methods analyze the differences in calibration device performance caused by different fluid characteristics. In practical engineering applications, turbine flow meters are affected by fluid density, flow regime, and other characteristics, resulting in significant differences in calibration results. The methods mentioned above regarding calibration device structure and uncertainty composition cannot analyze the reasons for this difference. Summary of the Invention

[0004] In view of the above problems, the present invention provides a method, device and storage medium for analyzing the calibration performance of a turbine flow meter, which solves the existing technical problems from the perspective of factors affecting slip rate.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a method for calibrating the performance of a turbine flow meter, the method comprising: A Reynolds number calculation model is constructed, defining the interval where the Reynolds number is below the critical threshold as the low Reynolds number interval; and the interval where the Reynolds number is above the critical threshold as the high Reynolds number interval. Based on the fluid characteristics of the turbine flow meter, a slip rate acquisition model is constructed. The first slip rate of the turbine flow meter in the low Reynolds number range and the second slip rate of the turbine flow meter in the high Reynolds number range are obtained through the slip rate acquisition model. The calibration performance of the calibration device is determined by comparing the trend of the first slip rate following the flow rate change or the trend of the second slip rate following the flow rate change with the calibration error generated by the calibration device following the flow rate change.

[0006] In one embodiment, the slip ratio acquisition model includes a first slip ratio acquisition model, wherein the first slip ratio is obtained through the first slip ratio acquisition model; The first slip rate acquisition model is: ; In the formula, For offset parameters; This refers to the drag torque exerted by the fluid on the turbine blades during the calibration process; The cross-sectional area for circulation; The diameter of the pipe; For fluid density; This refers to the fluid volumetric flow rate; The angle of inclination of the turbine blade.

[0007] In one embodiment, the slip ratio acquisition model includes a second slip ratio acquisition model, wherein the second slip ratio is obtained through the second slip ratio acquisition model; The second slip rate acquisition model is as follows: ; In the formula, This refers to the instrument coefficient of the turbine flow meter; For intermediate parameters; This is an independent term that is independent of the rotor speed; A term that increases linearly with increasing rotor speed; This is a term that increases quadratically with increasing rotor speed; For fluid kinematic viscosity; This is the ideal speed for the turbine; For fluid density; This represents the fluid volumetric flow rate.

[0008] In one embodiment, the Reynolds number calculation model is as follows: ; In the formula, It is the Reynolds number; For fluid density; This refers to the fluid volumetric flow rate; The radius of the pipeline channel; This refers to the fluid dynamic viscosity.

[0009] In a second aspect, the present invention provides a turbine flow meter calibration performance analysis device, the device comprising: Reynolds number partitioning module: used to construct the Reynolds number calculation model, defining the interval where the Reynolds number value is below the critical threshold as the low Reynolds number interval; and defining the interval where the Reynolds number value is above the critical threshold as the high Reynolds number interval; Slip acquisition module: used to construct a slip acquisition model based on the fluid characteristics of the turbine flow meter, and obtain the first slip of the turbine flow meter in the low Reynolds number range and the second slip of the turbine flow meter in the high Reynolds number range through the slip acquisition model; Calibration performance analysis module: used to compare the trend of the first slip rate following the flow rate change or the trend of the second slip rate following the flow rate change with the trend of the calibration error generated by the calibration device following the flow rate change, in order to determine the calibration performance of the calibration device.

[0010] In one embodiment, the slip ratio acquisition model includes a first slip ratio acquisition model, wherein the first slip ratio is obtained through the first slip ratio acquisition model; The first slip rate acquisition model is: ; In the formula, For offset parameters; This refers to the drag torque exerted by the fluid on the turbine blades during the calibration process; The cross-sectional area for circulation; The diameter of the pipe; For fluid density; This refers to the fluid volumetric flow rate; The angle of inclination of the turbine blade.

[0011] In one embodiment, the slip ratio acquisition model includes a second slip ratio acquisition model, wherein the second slip ratio is obtained through the second slip ratio acquisition model; The second slip rate acquisition model is as follows: ; In the formula, This refers to the instrument coefficient of the turbine flow meter; For intermediate parameters; This is an independent term that is independent of the rotor speed; A term that increases linearly with increasing rotor speed; This is a term that increases quadratically with increasing rotor speed; For fluid kinematic viscosity; This is the ideal speed for the turbine; For fluid density; This represents the fluid volumetric flow rate.

[0012] In one embodiment, the Reynolds number calculation model is as follows: ; In the formula, It is the Reynolds number; For fluid density; This refers to the fluid volumetric flow rate; The radius of the pipeline channel; This refers to the fluid dynamic viscosity.

[0013] Thirdly, the present invention provides an electronic device, comprising: Processor, memory, and interfaces for communication with the gateway; The memory is used to store programs and data, and the processor calls the programs stored in the memory to execute a turbine flowmeter calibration performance analysis method provided in any of the first aspects.

[0014] Fourthly, the present invention provides a computer-readable storage medium comprising a program, which, when executed by a processor, performs a turbine flowmeter calibration performance analysis method provided in any of the first aspects.

[0015] As described above, the embodiments of the present invention provide a method for analyzing the calibration performance of a turbine flowmeter. This method involves constructing a Reynolds number calculation model and determining low and high Reynolds number ranges. Based on the fluid characteristics of the turbine flowmeter, a slip rate acquisition model is constructed. This model yields the first slip rate of the turbine flowmeter in the low Reynolds number range and the second slip rate in the high Reynolds number range. The trend of the first slip rate following the flow rate change, or the trend of the second slip rate following the flow rate change, is compared with the trend of the calibration error generated by the calibration device following the flow rate change. This comparison determines the calibration performance of the calibration device. This analysis method can obtain the trend of slip rate change affected by fluid characteristics within the corresponding Reynolds number range. By analyzing the trend of slip rate change against the trend of corresponding calibration results, the differences in calibration performance of the calibration device can be determined. This provides effective guidance for the evaluation and selection of calibration devices in engineering applications, filling the gap in the analysis of calibration performance of calibration devices in terms of fluid characteristics. Attached Figure Description

[0016] Figure 1 The diagram shown is a flowchart illustrating a turbine flow meter calibration performance analysis method according to an embodiment of the present invention. Figure 2The figure shown is a comparison of the calibration results of the turbine flowmeter in fluids with different characteristics in a turbine flowmeter calibration performance analysis method provided in an embodiment of the present invention; Figure 3 The diagram shown is a structural schematic of a turbine flow meter calibration performance analysis device provided in an embodiment of the present invention. Figure 4 The diagram shown is a structural schematic of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this invention clearer and more understandable, the invention will be further described below in conjunction with the accompanying drawings and specific embodiments. Obviously, the described embodiments are merely some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0018] To address the shortcomings of existing technologies, this invention provides a specific implementation method for a turbine flow meter calibration performance analysis method, such as... Figure 1 As shown, the method specifically includes: S110: Construct a Reynolds number calculation model, defining the interval where the Reynolds number is below the critical threshold as the low Reynolds number interval, and the interval where the Reynolds number is above the critical threshold as the high Reynolds number interval.

[0019] Because slip is affected by different fluid characteristics within different Reynolds number ranges, this step aims to distinguish between high and low Reynolds number ranges by selecting the corresponding slip acquisition model from step S120 for the appropriate Reynolds number range. This ensures more accurate slip acquisition, leading to a more precise analysis of the calibration device's calibrability and guaranteeing the accuracy of the analytical results.

[0020] Specifically, the Reynolds number calculation model is as follows: ; In the formula, It is the Reynolds number; For fluid density; This refers to the fluid volumetric flow rate; The radius of the pipeline channel; This refers to the fluid dynamic viscosity.

[0021] Typically, the critical threshold can be selected autonomously for different applicable scenarios to obtain a suitable critical threshold. In this invention, the low Reynolds number range corresponds to the atmospheric pressure calibration performance analysis scenario, and the high Reynolds number range corresponds to the high pressure calibration performance analysis scenario.

[0022] S120: Construct a slip rate acquisition model based on the fluid characteristics of the turbine flow meter, and obtain the first slip rate of the turbine flow meter in the low Reynolds number range and the second slip rate of the turbine flow meter in the high Reynolds number range through the slip rate acquisition model.

[0023] Fluid properties include fluid density, flow rate, and flow regime. The flow regime (e.g., laminar or turbulent flow) directly determines the magnitude of kinematic viscosity. In the low Reynolds number range, the main factors affecting slip variation are fluid density and volumetric flow rate, while in the high Reynolds number range, the main factors affecting slip variation, in addition to fluid density and volumetric flow rate, are kinematic viscosity. Therefore, when slip is unavailable, a first slip acquisition model and a second slip acquisition model were constructed.

[0024] In other words, the slip ratio acquisition model includes a first slip ratio acquisition model and a second slip ratio acquisition model.

[0025] More specifically, the first slip ratio is obtained through the first slip ratio acquisition model.

[0026] The first slip rate acquisition model is: ; In the formula, For offset parameter ( Depends on turbine blade toughness and turbine blade inclination angle For a given turbine flow meter, this parameter is a constant value. This parameter is a dimensionless value, and for turbine flow meters, this value is typically less than 1. This refers to the drag torque exerted by the fluid on the turbine blades during the calibration process; The cross-sectional area for circulation; The pipe diameter (i.e., the inner diameter of the turbine flow meter); For fluid density; This refers to the fluid volumetric flow rate; The angle of inclination of the turbine blade.

[0027] For the same turbine flow meter, the model for obtaining the first slip rate can be simplified to: ; The first slip ratio in the low Reynolds number range can be determined by obtaining the model from the first slip ratio. The model shows that the value of the first slip ratio is linearly inversely proportional to the fluid density and quadratically inversely proportional to the flow rate; that is, as the fluid density increases, the first slip ratio caused by fluid dynamics decreases linearly; as the flow rate increases, the second slip ratio shows a quadratic decreasing trend.

[0028] The second slip ratio is obtained through the second slip ratio acquisition model; The second slip rate acquisition model is: ; In the formula, This refers to the instrument coefficient of the turbine flow meter; For intermediate parameters; This is an independent term that is independent of the rotor speed; A term that increases linearly with increasing rotor speed; This is a term that increases quadratically with increasing rotor speed; For fluid kinematic viscosity; This is the ideal speed for the turbine; For fluid density; This represents the fluid volumetric flow rate.

[0029] Obtained from the following formula: ; In the formula, It is a proportionality constant; These are the axial and radial flow rates, respectively. This refers to the bearing clearance.

[0030] Obtained from the following formula: ; In the formula, These are the inner and outer diameters of the bearing, respectively. This refers to the bearing length.

[0031] Obtained from the following formula: ; In the formula, This is the Yuru constant.

[0032] The second slip model shows that the slip caused by changes in fluid properties is not only related to flow rate and density, but also to the fluid's kinematic viscosity. The impact.

[0033] intermediate parameters Torque acting on turbine blades due to fluid resistance and the drag coefficient composed of the Reynolds number. constitute.

[0034] Expressed as an expression: ; In the formula, It is a dimensionless drag coefficient; For fluid density; This refers to the fluid volumetric flow rate; This refers to the number of blades in the turbine flow meter. The surface area of ​​the turbine blades. This is the radius of the pipeline channel (i.e., the inner radius of the turbine flow meter).

[0035] intermediate parameters Expressed as an expression: .

[0036] S130: Compare the trend of the first slip rate following the flow rate change or the trend of the second slip rate following the flow rate change with the trend of the calibration error generated by the calibration device following the flow rate change to determine the calibration performance of the calibration device.

[0037] As can be seen from step S120, once the calibration device for the turbine flow meter is selected, the parameters involved in step S120 are determined. Thus, the trend of the first slip rate obtained in the low Reynolds number range following the change of flow rate is also determined. Similarly, the trend of the second slip rate obtained in the high Reynolds number range following the change of flow rate is also determined.

[0038] Those skilled in the art will understand that, from a calibration perspective, the smaller the slip introduced by the calibration device, the better the calibration performance of the calibration device. In other words, the calibration performance of the calibration device is positively correlated with the slip.

[0039] When the slip ratio changes with the flow rate, the calibration error of the calibration device also changes with the slip ratio. When the trend of the calibration error is the same as that of the slip ratio, it indicates that the calibration device has good calibration performance; conversely, it indicates that the calibration device has poor calibration performance. Therefore, this provides effective guidance for the evaluation and selection of calibration devices in engineering applications, filling a gap in the analysis of calibration device performance in terms of fluid characteristics.

[0040] For ease of understanding, see Figure 2 , Figure 2 A comparison chart of the calibration results of turbine flow meters in fluids with different characteristics under normal conditions is presented.

[0041] exist Figure 2 The two curves at the top represent the calibration results of the same turbine flowmeter in different atmospheric pressure air devices (low Reynolds number range). Combined with the algorithm model in this invention, it can be seen that the Reynolds number is relatively small under atmospheric pressure air, and the flowmeter slip mainly depends on the gas density. and traffic Gas density under the same medium Similarly, therefore, since the first slip rate formed by hydrodynamics is mainly determined by... The two curves show the same trend.

[0042] The two top curves in Figure 2 indicate an initial flow rate of 60m. 3 At / h, the error is approximately 0.88%, and with As the flow rate increases, the slip decreases, and the calibration error decreases rapidly, reaching the maximum flow point of 160m. 3 At a flow rate of / h, the error decreased to 0.4%~0.5%. This trend is consistent with the first slip rate as a function of flow rate given in this invention. The trends of increasing and decreasing are consistent.

[0043] Depending on the medium, due to the gas density... Different, therefore, due to the slip rate formed by hydrodynamics, it is... and The actual flow calibration curve is determined by both of these factors and is inversely proportional to both of them. As reflected in the figure, the actual flow calibration curve is located below the air calibration curve, and the actual flow calibration curve is smoother due to the combined effect of density and flow rate.

[0044] exist Figure 2 In the example graph, the two middle curves represent the calibration results of the same turbine flowmeter in high-pressure air devices at 1.0 MPa and 2.2 MPa (high Reynolds number range). Combined with the second slip rate acquisition model in this invention, it can be seen that the second slip rate depends not only on the gas density. and traffic At the same time, it is also subject to kinematic viscosity. The impact.

[0045] air density Kinematic viscosity Since the pressure change is small, although the two middle curves are calibrated under conditions that differ by 1.2 MPa, the two curves change in the same direction. Moreover, the curves gradually rise as the flow rate increases, and the two curves begin to diverge.

[0046] Compared to the bottom curve, since the bottom curve was obtained through calibration in actual flow (high-pressure natural gas), the density of natural gas and air... The two curves differ significantly, and their pressures also differ considerably. Therefore, the actual flow calibration curve and the high-pressure air calibration curve are clearly separated.

[0047] If the calibration curve of the actual calibration device is similar to... Figure 2 If the calibration curves in the calibration curves show the same trend, it indicates that the calibration performance of the calibration device is good; otherwise, it indicates that the calibration performance of the calibration device is poor.

[0048] In summary, this invention proposes an analytical method for the influence of fluid characteristics on the calibration process, focusing on slip rate. It quantifies calibration discrepancies, determines calibration result trends, and supplements and improves the turbine flowmeter calibration error analysis system. By using slip rate as a key factor to analyze the calibration characteristics of turbine flowmeters, and without altering existing calibration equipment, it allows for the prediction and estimation of flowmeter calibration results in different gas environments. This facilitates the evaluation of flowmeter calibration results in practical engineering applications, enables effective control of calibration data, and allows for accurate assessment of the performance of the calibration equipment.

[0049] Once the flow meter to be calibrated is determined, the influence components of various fluid parameters (density, kinematic viscosity, flow rate, etc.) on the calibration results can be identified, which facilitates the accurate location and analysis of deviations in the calibration results after they are obtained.

[0050] This invention provides a method for selecting calibration devices for turbine flow meters in engineering applications: Due to the different operating costs of atmospheric and high-pressure natural gas devices, especially for calibrating large-diameter flow meters, the calibration cost of high-pressure natural gas is much higher than that of atmospheric air. According to the method described herein, when calibrating large-diameter flow meters with lower accuracy, an atmospheric pressure device can be selected to test the high-flow-rate range; while when calibrating flow meters used for trade settlement or with higher accuracy, a high-pressure natural gas device should be selected to test the entire flow-rate range. This ensures the reliability of calibration results while meeting economic requirements, guaranteeing fairness and impartiality in trade transactions.

[0051] Based on the same inventive concept, this application also provides a turbine flow meter calibration performance analysis device, which can be used to implement the turbine flow meter calibration performance analysis method described in the above embodiments, as described in the following embodiments. Since the principle by which the device solves the problem is similar to that of the turbine flow meter calibration performance analysis method, the implementation of the device can refer to the implementation of the turbine flow meter calibration performance analysis method, and repeated details will not be elaborated further. As used below, the terms "unit" or "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the system described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0052] This invention provides a turbine flow meter calibration performance analysis device, such as... Figure 3 As shown. In Figure 3 The device includes: Reynolds number partitioning module 210: used to construct the Reynolds number calculation model, defining the interval where the Reynolds number value is below the critical threshold as the low Reynolds number interval; and defining the interval where the Reynolds number value is above the critical threshold as the high Reynolds number interval; Slip acquisition module 220: used to construct a slip acquisition model based on the fluid characteristics of the turbine flow meter, and obtain the first slip of the turbine flow meter in the low Reynolds number range and the second slip of the turbine flow meter in the high Reynolds number range through the slip acquisition model; Calibration performance analysis module 230: used to compare the trend of the first slip rate following the flow rate change or the trend of the second slip rate following the flow rate change with the trend of the calibration error generated by the calibration device following the flow rate change, and to determine the calibration performance of the calibration device.

[0053] In one embodiment of the present invention, the slip ratio acquisition model includes a first slip ratio acquisition model, wherein the first slip ratio is obtained through the first slip ratio acquisition model; The first slip rate acquisition model is: ; In the formula, For offset parameters; This refers to the drag torque exerted by the fluid on the turbine blades during the calibration process; The cross-sectional area for circulation; The diameter of the pipe; For fluid density; This refers to the fluid volumetric flow rate; The angle of inclination of the turbine blade.

[0054] In one embodiment of the present invention, the slip ratio acquisition model includes a second slip ratio acquisition model, and the second slip ratio is obtained through the second slip ratio acquisition model; The second slip rate acquisition model is: ; In the formula, This refers to the instrument coefficient of the turbine flow meter; For intermediate parameters; This is an independent term that is independent of the rotor speed; A term that increases linearly with increasing rotor speed; This is a term that increases quadratically with increasing rotor speed; For fluid kinematic viscosity; This is the ideal speed for the turbine; For fluid density; This represents the fluid volumetric flow rate.

[0055] In one embodiment of the present invention, the Reynolds number calculation model is as follows: ; In the formula, It is the Reynolds number; For fluid density; This refers to the fluid volumetric flow rate; The radius of the pipeline channel; This refers to the fluid dynamic viscosity.

[0056] The embodiments of this application also provide a specific implementation of an electronic device capable of implementing all the steps in the turbine flow meter calibration performance analysis method described in the above embodiments. See [link to relevant documentation]. Figure 4 The electronic device 300 specifically includes the following: Processor 310, memory 320, communication unit 330 and bus 340; The processor 310, memory 320, and communication unit 330 communicate with each other via bus 340; the communication unit 330 is used to realize information transmission between server-side devices and terminal devices and other related devices.

[0057] The processor 310 is used to call the computer program in the memory 320. When the processor executes the computer program, it implements all the steps in the turbine flow meter calibration performance analysis method in the above embodiments.

[0058] Those skilled in the art will understand that memory can be, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), and Electrically Erasable Programmable Read-Only Memory (EEPROM). The memory stores programs, which are then executed by the processor upon receiving execution instructions. Furthermore, the software programs and modules within the memory may include an operating system, which may include various software components and / or drivers for managing system tasks (e.g., memory management, storage device control, power management), and can communicate with various hardware or software components to provide an operating environment for other software components.

[0059] A processor can be an integrated circuit chip with signal processing capabilities. The aforementioned processor can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor.

[0060] This application also provides a computer-readable storage medium including a program that, when executed by a processor, performs the turbine flowmeter calibration performance analysis method provided in any of the foregoing method embodiments.

[0061] Those skilled in the art will understand that all or part of the steps in the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks, and this application does not limit the specific type of media.

[0062] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for calibrating and analyzing the performance of a turbine flow meter, characterized in that, The method includes: A Reynolds number calculation model is constructed, defining the interval where the Reynolds number is below the critical threshold as the low Reynolds number interval; and the interval where the Reynolds number is above the critical threshold as the high Reynolds number interval. Based on the fluid characteristics of the turbine flow meter, a slip rate acquisition model is constructed. The first slip rate of the turbine flow meter in the low Reynolds number range and the second slip rate of the turbine flow meter in the high Reynolds number range are obtained through the slip rate acquisition model. The calibration performance of the calibration device is determined by comparing the trend of the first slip rate following the flow rate change or the trend of the second slip rate following the flow rate change with the calibration error generated by the calibration device following the flow rate change. The slip ratio acquisition model includes a first slip ratio acquisition model, wherein the first slip ratio is obtained through the first slip ratio acquisition model; The first slip rate acquisition model is: ； In the formula, For offset parameters; This refers to the drag torque exerted by the fluid on the turbine blades during the calibration process; The cross-sectional area for circulation; The diameter of the pipe; For fluid density; This refers to the fluid volumetric flow rate; The angle of inclination of the turbine blades; The slip ratio acquisition model includes a second slip ratio acquisition model, wherein the second slip ratio is obtained through the second slip ratio acquisition model; The second slip rate acquisition model is as follows: ； In the formula, This refers to the instrument coefficient of the turbine flow meter; For intermediate parameters; This is an independent term that is independent of the rotor speed; A term that increases linearly with increasing rotor speed; This is a term that increases quadratically with increasing rotor speed; For fluid kinematic viscosity; This is the ideal speed for the turbine; For fluid density; This refers to the fluid volumetric flow rate; Obtained from the following formula: ； In the formula, It is a proportionality constant; These are the axial and radial flow rates, respectively. This refers to the bearing clearance. Obtained from the following formula: ； In the formula, These are the inner and outer diameters of the bearing, respectively. This refers to the bearing length. Obtained from the following formula: ； In the formula, It is the Yuru constant; intermediate parameters Expressed as an expression: ； Expressed as an expression: ； In the formula, It is a dimensionless drag coefficient; For fluid density; This refers to the fluid volumetric flow rate; This refers to the number of blades in the turbine flow meter. The surface area of ​​the turbine blades. The radius of the pipeline channel.

2. The method for calibrating and analyzing the performance of a turbine flow meter as described in claim 1, characterized in that, The Reynolds number calculation model is as follows: ； In the formula, It is the Reynolds number; For fluid density; This refers to the fluid volumetric flow rate; The radius of the pipeline channel; This refers to the fluid dynamic viscosity.

3. A turbine flow meter calibration performance analysis device, characterized in that, The device includes: Reynolds number partitioning module: used to construct the Reynolds number calculation model, defining the interval where the Reynolds number value is below the critical threshold as the low Reynolds number interval; and defining the interval where the Reynolds number value is above the critical threshold as the high Reynolds number interval; Slip acquisition module: used to construct a slip acquisition model based on the fluid characteristics of the turbine flow meter, and obtain the first slip of the turbine flow meter in the low Reynolds number range and the second slip of the turbine flow meter in the high Reynolds number range through the slip acquisition model; The calibration performance analysis module is used to compare the trend of the first slip rate following the flow rate change or the trend of the second slip rate following the flow rate change with the trend of the calibration error generated by the calibration device following the flow rate change, so as to determine the calibration performance of the calibration device. The slip ratio acquisition model includes a first slip ratio acquisition model, wherein the first slip ratio is obtained through the first slip ratio acquisition model; The first slip rate acquisition model is: ； In the formula, For offset parameters; This refers to the drag torque exerted by the fluid on the turbine blades during the calibration process; The cross-sectional area for circulation; The diameter of the pipe; For fluid density; This refers to the fluid volumetric flow rate; The angle of inclination of the turbine blades; The slip ratio acquisition model includes a second slip ratio acquisition model, wherein the second slip ratio is obtained through the second slip ratio acquisition model; The second slip rate acquisition model is as follows: ； In the formula, This refers to the instrument coefficient of the turbine flow meter; For intermediate parameters; This is an independent term that is independent of the rotor speed; A term that increases linearly with increasing rotor speed; This is a term that increases quadratically with increasing rotor speed; For fluid kinematic viscosity; This is the ideal speed for the turbine; For fluid density; This refers to the fluid volumetric flow rate; Obtained from the following formula: ； In the formula, It is a proportionality constant; These are the axial and radial flow rates, respectively. This refers to the bearing clearance. Obtained from the following formula: ； In the formula, These are the inner and outer diameters of the bearing, respectively. This refers to the bearing length. Obtained from the following formula: ； In the formula, It is the Yuru constant; intermediate parameters Expressed as an expression: ； Expressed as an expression: ； In the formula, It is a dimensionless drag coefficient; For fluid density; This refers to the fluid volumetric flow rate; This refers to the number of blades in the turbine flow meter. The surface area of ​​the turbine blades. The radius of the pipeline channel.

4. The turbine flow meter calibration performance analysis device as described in claim 3, characterized in that, The Reynolds number calculation model is as follows: ； In the formula, It is the Reynolds number; For fluid density; This refers to the fluid volumetric flow rate; The radius of the pipeline channel; This refers to the fluid dynamic viscosity.

5. An electronic device, characterized in that, include: Processor, memory, and interfaces for communication with the gateway; The memory is used to store programs and data, and the processor calls the programs stored in the memory to execute the turbine flowmeter calibration performance analysis method according to any one of claims 1 to 2.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a program that, when executed by a processor, performs the turbine flowmeter calibration performance analysis method according to any one of claims 1 to 2.

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