High-pressure turbine flow measurement system based on compensation function

Abstract

The invention discloses a high-pressure turbine flow measurement system based on a compensation function, and the system comprises a turbine flow sensor module which detects the flow of high-pressure fluid and outputs a turbine rotating speed signal corresponding to the flow of the high-pressure fluid; the working condition parameter acquisition module is used for acquiring a temperature signal and a pressure signal of the high-pressure fluid in real time; the compensation calculation module is used for calculating a compensated flow value by applying a dynamic compensation model based on the turbine rotating speed signal, the temperature signal and the pressure signal; and the adaptive learning module dynamically updates compensation parameters of a dynamic compensation model according to the historical sequence of the compensated flow values and the historical sequences of the temperature signals and the pressure signals so as to adapt to the mechanical property change of the turbine flow sensor module in the high-pressure operation period. The problem of measurement errors caused by fluid parameter fluctuation and mechanical property attenuation under the high-pressure working condition can be solved, and the long-term stability and the measurement precision of a high-pressure turbine flow measurement system within the full working condition range are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of fluid measurement, and in particular to a high-pressure turbine flow measurement system based on compensation function. BACKGROUND

[0002] With the increasing demand for high-pressure fluid flow measurement accuracy in the fields of petroleum, chemical industry and energy, turbine flow meters are widely used due to their fast response speed and good dynamic performance. However, the existing technology has significant defects under high-pressure conditions: first, the physical parameters such as fluid density and viscosity change nonlinearly with temperature and pressure fluctuations, causing the theoretical relationship between turbine speed and flow to deviate significantly from the design state, especially under pressure pulsation or extreme working conditions, the measurement error increases sharply, and the traditional fixed compensation coefficient is difficult to adapt to dynamic changes; second, the turbine blades are continuously subjected to erosion and wear during long-term operation, the bearing friction characteristics gradually deteriorate, and the mechanical performance degradation causes systematic drift, which requires frequent shutdown calibration and maintenance, seriously affecting the production continuity and equipment reliability. The existing compensation methods mostly use simplified models or empirical corrections, lack real-time compensation ability for working condition adaptation, and cannot meet the precise measurement requirements in the whole working condition range, which restricts the long-term stability and measurement accuracy of high-pressure flow measurement systems.

[0003] Therefore, there is an urgent need to provide a technical solution to solve the above problems. SUMMARY

[0004] To solve the above technical problems, the present application provides a high-pressure turbine flow measurement system based on compensation function, and the technical scheme of the high-pressure turbine flow measurement system based on compensation function is as follows: A turbine flow sensor module for detecting the flow of high-pressure fluid and outputting a turbine speed signal corresponding to the flow of high-pressure fluid; A working condition parameter acquisition module for acquiring temperature signals and pressure signals of the high-pressure fluid in real time; A compensation calculation module for calculating a compensated flow value based on the turbine speed signal, the temperature signal and the pressure signal by applying a dynamic compensation model; wherein the dynamic compensation model is constructed by integrating the nonlinear change relationship of fluid density and viscosity with temperature and pressure; An adaptive learning module for dynamically updating the compensation parameters of the dynamic compensation model according to the historical sequence of the compensated flow value, the historical sequence of the temperature signal and the pressure signal, to adapt to the mechanical performance changes of the turbine flow sensor module during high-pressure operation period.

[0005] The technical scheme of the application solves the measurement error problem caused by fluid parameter fluctuation and mechanical performance attenuation under high pressure working conditions by constructing a dynamic compensation model integrated with fluid property nonlinear variation to compensate the turbine rotating speed signal in real time, and combining with an adaptive learning mechanism based on historical data to dynamically update the compensation parameters, thereby improving the long-term stability and measurement accuracy of the high pressure turbine flow measurement system in the whole working condition range.

[0006] The above description is only a summary of the technical scheme of the application, in order to more clearly understand the technical means of the application, and to be implemented according to the content of the specification, and in order to make the above and other purposes, features and advantages of the application more obvious and easy to understand, the following specific embodiments of the application are described. BRIEF DESCRIPTION OF DRAWINGS

[0007] In order to more clearly illustrate the technical scheme in the embodiments of the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only some embodiments of the application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0008] The drawings are only used to show the embodiments, and are not considered as a limitation of the application. Moreover, the same reference signs are used to represent the same parts throughout the drawings. In the drawings: Figure 1 The structure diagram of an embodiment of a high pressure turbine flow measurement system based on compensation function of the application. DETAILED DESCRIPTION

[0009] The exemplary embodiments of the application will be described below in more detail with reference to the accompanying drawings. Although the exemplary embodiments of the application are shown in the drawings, it should be understood that the application can be implemented in various forms and should not be limited by the embodiments described herein.

[0010] Figure 1 The structure diagram of an embodiment of a high pressure turbine flow measurement system based on compensation function of the application is shown. As shown in Figure 1 The high pressure turbine flow measurement system based on compensation function includes: A turbine flow sensor module 110 is used to detect the flow of high pressure fluid and output a turbine rotating speed signal corresponding to the flow of high pressure fluid.

[0011] The high-pressure fluid refers to a gas or liquid medium flowing in a high-pressure state in the fields of petroleum, chemical industry, and energy, such as natural gas with a pressure of 15 MPa in a conveying pipeline. The flow rate refers to the volume of fluid passing through the cross section of the pipeline per unit time, such as the volume of natural gas passing through the turbine flow meter per minute being 50 standard cubic meters. The turbine speed signal refers to an electrical signal output by the turbine flow sensor reflecting the rotational speed of the turbine, such as a pulse signal with a frequency of 2 kHz output by a magneto-electric transducer.

[0012] The working condition parameter acquisition module 120 is configured to acquire the temperature signal and the pressure signal of the high-pressure fluid in real time.

[0013] The temperature signal refers to a standard electrical signal representing the temperature value of the fluid after signal conditioning processing, such as a temperature measurement value of 80°C corresponding to a 4-20 mA current signal. The pressure signal refers to a standard electrical signal representing the pressure value of the fluid after signal conditioning processing, such as a pressure measurement value of 12.5 MPa corresponding to a 1-5 V voltage signal.

[0014] The compensation calculation module 130 is configured to calculate a compensated flow rate value based on the turbine speed signal, the temperature signal, and the pressure signal by applying a dynamic compensation model. The dynamic compensation model is constructed by integrating the nonlinear change relationship of fluid density and viscosity with temperature and pressure.

[0015] The dynamic compensation model refers to a mathematical model integrating the nonlinear relationship of fluid property parameters changing with temperature and pressure, such as a flow rate calculation function containing a density correction term and a viscosity correction term. The compensated flow rate value refers to an accurate flow rate measurement value output after correction by the dynamic compensation model, such as a natural gas flow rate value of 48.5 standard cubic meters per minute after temperature and pressure compensation. The nonlinear change relationship refers to a mathematical relationship that is not proportional to the change of fluid property parameters with temperature and pressure, such as the nonlinear increase of natural gas density with increasing pressure.

[0016] The adaptive learning module 140 is configured to dynamically update the compensation parameters of the dynamic compensation model according to the historical sequence of the compensated flow rate value, the historical sequence of the temperature signal, and the pressure signal, to adapt to the mechanical performance changes of the turbine flow sensor module 110 during the high-pressure operation period.

[0017] The mechanical performance change refers to the change in characteristics caused by component wear after long-term operation of the turbine flow meter, such as the increase of the friction coefficient of the turbine bearing from 0.008 to 0.012.

[0018] The technical scheme of the embodiment solves the measurement error problem caused by fluid parameter fluctuation and mechanical performance attenuation under high pressure working conditions by constructing a dynamic compensation model integrated with nonlinear changes of fluid physical properties to compensate the turbine rotating speed signal in real time, and dynamically updating the compensation parameters based on the adaptive learning mechanism based on historical data, thereby improving the long-term stability and measurement accuracy of the high pressure turbine flow measurement system in the whole working condition range.

[0019] In an alternative manner, the turbine flow sensor module 110 is specifically used for: The rotation speed of the turbine shaft is converted into an electrical signal proportional to the flow of the high pressure fluid by driving the turbine shaft to rotate through the impact of high pressure fluid on turbine blades.

[0020] Wherein, the turbine blade refers to: a wing-shaped component in the turbine flowmeter that rotates under the impact of fluid; for example, three spiral blades made of 17-4PH stainless steel. The turbine shaft refers to: a mechanical shaft connecting the turbine blades and transmitting rotational motion; for example, a 8mm diameter tungsten carbide center shaft. The rotation speed refers to: the number of revolutions of the turbine shaft per unit time; for example, the turbine shaft rotates 4500 revolutions per minute. The electrical signal refers to: the electrical parameter output by the sensor after converting the physical quantity; for example, the 0-24V pulse voltage signal output by the magneto-electric transducer.

[0021] The electrical signal is conditioned into the turbine rotating speed signal in pulse form by the magneto-electric transducer.

[0022] Wherein, the magneto-electric transducer refers to: an electromagnetic induction device that converts turbine rotational motion into an electrical signal; for example, a rotating speed sensor based on the variable reluctance principle. The pulse form refers to: the electrical signal exhibits periodic mutation waveform characteristics; for example, a rectangular wave signal whose frequency is proportional to the rotating speed.

[0023] In the above alternative manner, it is further specified that the turbine flow sensor module drives rotation by impacting the turbine blades with high pressure fluid, converts mechanical rotation into pulse electrical signal through the magneto-electric transducer, realizes reliable conversion from flow to electrical signal, and provides stable input for subsequent processing.

[0024] In an alternative manner, the working condition parameter acquisition module 120 is specifically used for: The temperature parameter of the high pressure fluid is obtained by the temperature sensor arranged on the fluid passage wall of the high pressure turbine flow measurement system.

[0025] Here, "fluid channel wall" refers to the inner wall structure of a pipe through which high-pressure fluid flows; for example, a 316L stainless steel measuring pipe section with an inner diameter of 80mm. "Temperature sensor" refers to a sensing device that measures the temperature parameters of a fluid; for example, a PT1000 platinum resistance thermometer. "Temperature parameter" refers to the raw temperature data directly measured by the temperature sensor; for example, the 1100Ω resistance value measured by the PT1000 sensor.

[0026] The pressure parameters of the high-pressure fluid are obtained by a pressure sensor installed on the pressure interface of the high-pressure turbine flow measurement system.

[0027] In this context, a pressure sensor refers to a sensing device that measures fluid pressure parameters; for example, a ceramic piezoresistive pressure sensor. Pressure parameters refer to the raw pressure data directly measured by the pressure sensor; for example, the 3.2mV voltage value output by a piezoresistive sensor.

[0028] The temperature parameters are converted into corresponding temperature electrical signals, and the pressure parameters are converted into corresponding pressure electrical signals.

[0029] Among them, the temperature electrical signal refers to the standard electrical signal after the temperature parameter has been converted; for example, the 4-20mA current signal after the PT1000 resistance value has been converted. The pressure electrical signal refers to the standard electrical signal after the pressure parameter has been converted; for example, the 1-5V voltage signal after the piezoresistive sensor output has been amplified.

[0030] The temperature electrical signal and the pressure electrical signal are respectively subjected to signal conditioning processing to obtain the temperature signal and the pressure signal after signal conditioning processing; wherein, the signal conditioning processing includes: signal amplification, filtering and analog-to-digital conversion.

[0031] In the above-mentioned optional methods, temperature sensors and pressure sensors are further arranged on the fluid channel wall and pressure interface, respectively. After signal amplification, filtering and analog-to-digital conversion, accurate operating parameters are obtained to provide real-time temperature and pressure data for the dynamic compensation model.

[0032] In an alternative embodiment, the model building module is further included; the model building module is used for: Establish a basic flow calculation function that connects turbine speed signal and high-pressure fluid flow rate.

[0033] The basic flow calculation function refers to the mathematical model that establishes the basic relationship between turbine speed and flow rate.

[0034] Based on real-time temperature and pressure data, the real-time density and viscosity values ​​of high-pressure fluids are calculated using physical property parameter relationships.

[0035] Real-time temperature data refers to the temperature measurement value collected and processed at the current moment; for example, a currently collected temperature value of 85.3℃. Real-time pressure data refers to the pressure measurement value collected and processed at the current moment; for example, a currently collected pressure value of 14.8 MPa. Physical property parameter relationships refer to mathematical expressions describing the changes in fluid properties with temperature and pressure; for example, calculating the density of natural gas using the GERG-2008 equation of state. Real-time density value refers to the fluid density calculated based on the current temperature and pressure; for example, a calculated natural gas density of 72.5 kg / m³. 3 Real-time viscosity refers to the fluid viscosity calculated based on the current temperature and pressure; for example, the calculated dynamic viscosity of natural gas is 0.0132 mPa·s.

[0036] The basic flow calculation function is nonlinearly corrected based on the real-time density value and the real-time viscosity value to generate a density correction term and a viscosity correction term.

[0037] The density correction term refers to the amount of correction used to compensate for the impact of density changes on flow rate; for example, the flow rate correction factor for density changes is 1.032. The viscosity correction term refers to the amount of correction used to compensate for the impact of viscosity changes on flow rate; for example, the flow rate correction factor for viscosity changes is 0.987.

[0038] The density correction term and the viscosity correction term are integrated into the basic flow calculation function to form the dynamic compensation model that includes temperature-pressure coupling compensation relationship.

[0039] Among them, the temperature-pressure coupling compensation relationship refers to a compensation mechanism that considers the mutual influence of temperature and pressure; for example, the temperature-pressure cross term coefficient in the density correction term.

[0040] In the above-mentioned optional methods, a basic flow calculation function is further established and a real-time density and viscosity nonlinear correction term is introduced. The temperature and pressure coupling relationship is integrated to construct a dynamic compensation model, so that the model can adapt to the nonlinear changes of fluid physical parameters.

[0041] In an alternative embodiment, the compensation calculation module 130 is specifically used for: The turbine speed signal is input into the basic flow calculation function to obtain the uncompensated flow value.

[0042] The uncompensated flow rate value refers to the original flow rate value calculated solely based on turbine speed without compensation; for example, a flow rate value of 51.2 standard cubic meters per minute calculated directly based on turbine speed.

[0043] The temperature signal and the pressure signal are input into the dynamic compensation model to obtain the corresponding density correction term and viscosity correction term.

[0044] The density correction term and the viscosity correction term are applied to perform coupled compensation calculation on the uncompensated flow rate value, and the compensated flow rate value is output.

[0045] In the above optional methods, the uncompensated flow rate value is further calculated through the basic function, and coupled compensation calculation is performed by combining the density and viscosity correction term to output the compensated flow rate value after operating condition correction, thereby realizing real-time correction of nonlinear error.

[0046] In an alternative embodiment, the compensation calculation module 130 is specifically used for: The turbine speed signal is digitally filtered and its frequency is precisely measured to obtain the instantaneous turbine rotation frequency.

[0047] The instantaneous rotational frequency of the turbine refers to the frequency value corresponding to the instantaneous angular velocity of the turbine rotation at a certain moment; for example, the rotational frequency of 75.3Hz measured at the current moment.

[0048] The instantaneous rotational frequency of the turbine is input into the basic flow calculation function to calculate the uncompensated flow value.

[0049] The basic flow calculation function is as follows: ; In the formula, This indicates the uncompensated traffic value. Indicates the basic coefficient of the turbine instrument. Indicates the instantaneous rotational frequency of the turbine. Represents the characteristic frequency of the flow regime. Indicates the nonlinear flow resistance coefficient. This indicates the low-frequency correction index. Represents the turbulence attenuation coefficient. This indicates the high-frequency correction index.

[0050] It should be noted that the basic flow calculation function is based on the inherent characteristics of the turbine flow meter. By introducing nonlinear flow resistance and turbulence attenuation terms, it accurately describes the conversion relationship between turbine speed and flow rate under different flow conditions. This formula establishes an accurate conversion relationship between turbine speed signals and uncompensated flow rate values. It specifically provides mathematical modeling for nonlinear flow phenomena occurring under high-pressure conditions, providing accurate benchmark values ​​for subsequent compensation calculations.

[0051] In the above-mentioned optional methods, digital filtering is further used to accurately measure the instantaneous rotational frequency of the turbine, and the uncompensated flow rate value is calculated through a fundamental function containing the flow characteristic frequency and nonlinear flow resistance coefficient, thereby improving the accuracy of the fundamental flow rate calculation.

[0052] In an alternative approach, the density correction term and the viscosity correction term are determined by the following relationship: ; ; In the formula, Represents the density correction term. This indicates the viscosity correction term. Indicates the reference density. Indicates the reference viscosity. This represents the real-time temperature value. This indicates the real-time pressure value. Indicates reference temperature. Indicates reference pressure. to This represents the density correction factor. to This represents the viscosity correction factor.

[0053] It should be noted that: 1) The density correction term, based on fluid thermodynamics, uses a complete quadratic polynomial to accurately describe the complex nonlinear relationship between density and temperature and pressure. By introducing temperature-pressure cross-terms and quadratic terms, it can fully characterize the coupled effect of temperature and pressure on fluid density under high-pressure conditions. This formula calculates in real time the impact of density changes caused by temperature and pressure fluctuations on flow measurement, providing necessary physical property parameter corrections for accurate flow compensation. 2) The viscosity correction term, based on the fluid's viscosity-temperature-viscosity-pressure characteristics, uses an exponential function to accurately describe the nonlinear law of viscosity changes with temperature and pressure. The exponential term contains complete temperature-pressure first-order, cross-terms, and quadratic terms, which can accurately fit the complex viscosity change behavior of fluid under high-pressure and high-temperature conditions. This formula quantifies the impact of viscosity changes on the measurement accuracy of turbine flow meters, and the exponential mathematical expression better reflects the severity of viscosity changes, providing accurate viscosity correction parameters for flow compensation.

[0054] In the above-mentioned optional methods, a polynomial and exponential relationship containing cross terms and quadratic terms is further used to describe the density and viscosity correction terms, so as to accurately characterize the nonlinear variation of physical property parameters with temperature and pressure.

[0055] In an alternative embodiment, the compensation calculation module 130 is specifically used for: Establish a coupling compensation relationship between the density correction term, the viscosity correction term, and the uncompensated flow rate value.

[0056] Based on the coupling compensation relationship, nonlinear compensation calculation is performed on the uncompensated flow value, and the compensated flow value is output.

[0057] The coupling compensation calculation is determined by the following relationship: ; In the formula, This represents the compensated flow rate value. This indicates the uncompensated traffic value. Represents the density correction term. This indicates the viscosity correction term. Indicates the reference density. Indicates the reference viscosity. This represents the density compensation weighting coefficient. This represents the viscosity compensation weighting coefficient. This represents the cross-coupling compensation coefficient.

[0058] It should be noted that the coupled compensation calculation formula is based on the concept of multi-parameter synergistic compensation. By introducing weighting coefficients and cross-coupling coefficients, a joint influence model of density correction and viscosity correction on flow rate is established. The formula adopts a polynomial structure, which not only includes independent correction terms for density and viscosity but also specifically sets up an interaction term between the two, fully characterizing the coupling effect of changes in physical property parameters under complex operating conditions. This formula organically combines the density correction term and the viscosity correction term to comprehensively and accurately correct the uncompensated flow rate value, ensuring the accuracy of flow rate measurement when temperature and pressure change simultaneously.

[0059] In the above-mentioned optional methods, a coupled compensation relationship between the density and viscosity correction term and the uncompensated flow rate is further established, and a weighting coefficient and a cross-coupling coefficient are introduced to achieve multi-parameter comprehensive compensation and improve the compensation accuracy under complex working conditions.

[0060] In an alternative embodiment, the adaptive learning module 140 is specifically used for: Collect historical sequences of compensated flow rates within a preset time period, and simultaneously acquire historical sequences of temperature and pressure signals for the corresponding time periods.

[0061] The preset time period refers to a pre-defined data acquisition interval; for example, setting a data acquisition period of 30 days. The temperature signal history sequence refers to a set of temperature signal data arranged in chronological order; for example, a set of temperature data recorded hourly over the past 30 days. The pressure signal history sequence refers to a set of pressure signal data arranged in chronological order; for example, a set of pressure data recorded hourly over the past 30 days.

[0062] Based on the correlation between the historical sequence of the compensated flow rate value and the historical sequences of the temperature signal and pressure signal, the mechanical performance change trend of the turbine flow sensor module 110 is analyzed.

[0063] Among them, the trend of mechanical performance change refers to the regular characteristics of the performance of turbine components changing over time; for example, the trend of bearing friction coefficient increasing by 0.0008 per quarter.

[0064] The adjustment amount of the compensation parameters of the dynamic compensation model is calculated based on the trend of mechanical property change, and the density correction coefficient and viscosity correction coefficient in the dynamic compensation model are updated using the adjustment amount of the compensation parameters.

[0065] The density correction factor refers to the parameter used to adjust the compensation strength in the density correction term; for example, the coefficient of the quadratic temperature term in the density correction polynomial. The viscosity correction factor refers to the parameter used to adjust the compensation strength in the viscosity correction term; for example, the pressure coefficient in the viscosity correction exponential function.

[0066] Among the above-mentioned optional methods, further analysis of historical flow, temperature, and pressure data sequences is conducted to determine the trend of mechanical performance changes, and the compensation coefficient is dynamically updated to adapt the model to the performance degradation of the turbine sensor during high-pressure operation cycles.

[0067] In an alternative embodiment, the adaptive learning module 140 is further configured to: Establish a mapping relationship between the trend of mechanical performance changes and the adjustment amount of compensation parameters.

[0068] The mapping relationship refers to the correspondence between changes in mechanical properties and compensation parameters; for example, the functional relationship between bearing wear and viscosity correction coefficient.

[0069] The degree of mechanical performance degradation of the turbine flow sensor module 110 is predicted based on the mapping relationship.

[0070] Among them, the degree of mechanical performance degradation refers to the quantitative indicator of the performance deterioration of turbine components; for example, the percentage increase in the bearing friction coefficient relative to the initial value.

[0071] The compensation parameters of the dynamic compensation model are adjusted in advance based on the prediction results.

[0072] The prediction result refers to the estimated result of future performance changes based on historical data; for example, it is predicted that the friction coefficient will increase to 0.0092 in three months.

[0073] Among the above-mentioned optional methods, a mapping relationship between the trend of mechanical performance change and the adjustment amount of compensation parameters can be further established to predict the degree of performance degradation and adjust the compensation parameters in advance, so as to achieve predictive maintenance and long-term stable operation.

[0074] To better illustrate the technical solution of this embodiment, the following example is used for complete explanation: S10, the turbine flow sensor module 110 drives the turbine shaft to rotate by impacting the turbine blades with high-pressure fluid, converts the rotation speed of the turbine shaft into an electrical signal proportional to the flow rate of the high-pressure fluid, and modulates the electrical signal into a pulse-shaped turbine speed signal through a magneto-electric converter. S20, the working condition parameter acquisition module 120 acquires the temperature parameters of the high-pressure fluid through a temperature sensor installed on the fluid channel wall, and acquires the pressure parameters of the high-pressure fluid through a pressure sensor installed on the pressure interface. It converts the temperature parameters and pressure parameters into temperature electrical signals and pressure electrical signals respectively, and performs signal amplification, filtering and analog-to-digital conversion on the temperature electrical signals and pressure electrical signals to output standardized temperature signals and pressure signals. S30 and the compensation calculation module 130 perform digital filtering and precise frequency measurement on the turbine speed signal to obtain the instantaneous turbine rotation frequency. The instantaneous turbine rotation frequency is input into the basic flow calculation function to obtain the uncompensated flow value. At the same time, the temperature signal and pressure signal are input into the dynamic compensation model to obtain the density correction term and viscosity correction term. The density correction term and viscosity correction term are applied to perform coupled compensation calculation on the uncompensated flow value and output the compensated flow value. S40, the adaptive learning module 140 collects the historical sequence of compensated flow rate value, temperature signal and pressure signal within a preset time period, analyzes the mechanical performance change trend of the turbine flow sensor module 110 based on the historical sequence data, calculates the adjustment amount of the compensation parameters of the dynamic compensation model according to the mechanical performance change trend, and updates the density correction coefficient and viscosity correction coefficient in the dynamic compensation model.

[0075] Furthermore, the system provided in the above embodiments is only illustrated by the division of the above functional modules when implementing its functions. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the system can be divided into different functional modules according to the actual situation to complete all or part of the functions described above. The above description is only a preferred embodiment of the present invention and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present invention is not limited to the technical solutions formed by specific combinations of the above technical features, but should also cover other technical solutions formed by arbitrary combinations of the above technical features or their equivalent features without departing from the above disclosed concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions disclosed in the present invention.

[0076] It should be noted that the terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and represent a limitation on a specific order or sequence. Where appropriate, the order of use for similar objects can be interchanged so that the embodiments of this application described herein can be implemented in an order other than that shown or described.

[0077] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A high-pressure turbine flow measurement system based on compensation function, characterized in that, The system includes: A turbine flow sensor module is used to detect the flow rate of a high-pressure fluid and output a turbine speed signal corresponding to the flow rate of the high-pressure fluid. The operating condition parameter acquisition module is used to acquire the temperature and pressure signals of the high-pressure fluid in real time; The compensation calculation module is used to calculate the compensated flow rate value based on the turbine speed signal, the temperature signal, and the pressure signal, using a dynamic compensation model; wherein, the dynamic compensation model is constructed by integrating the nonlinear relationship between fluid density and viscosity with temperature and pressure; An adaptive learning module is used to dynamically update the compensation parameters of the dynamic compensation model based on the historical sequence of the compensated flow rate value, the historical sequence of the temperature signal, and the historical sequence of the pressure signal, so as to adapt to the mechanical performance changes of the turbine flow sensor module during the high-pressure operation cycle.

2. The high-pressure turbine flow measurement system based on compensation function according to claim 1, characterized in that, The turbine flow sensor module is specifically used for: The turbine shaft is driven to rotate by the impact of high-pressure fluid on the turbine blades, and the rotational speed of the turbine shaft is converted into an electrical signal proportional to the flow rate of the high-pressure fluid. The electrical signal is conditioned into a pulse-shaped turbine speed signal by a magneto-electric converter.

3. The high-pressure turbine flow measurement system based on compensation function according to claim 1, characterized in that, The operating condition parameter acquisition module is specifically used for: The temperature parameters of the high-pressure fluid are obtained by a temperature sensor installed on the fluid channel wall of the high-pressure turbine flow measurement system. The pressure parameters of the high-pressure fluid are obtained by a pressure sensor installed on the pressure interface of the high-pressure turbine flow measurement system. The temperature parameters are converted into corresponding temperature electrical signals, and the pressure parameters are converted into corresponding pressure electrical signals; The temperature electrical signal and the pressure electrical signal are respectively subjected to signal conditioning processing to obtain the temperature signal and the pressure signal after signal conditioning processing; wherein, the signal conditioning processing includes: signal amplification, filtering and analog-to-digital conversion.

4. The high-pressure turbine flow measurement system based on compensation function according to claim 1, characterized in that, It also includes: a model building module; the model building module is used for: Establish a basic flow calculation function that connects turbine speed signal and high-pressure fluid flow rate; Based on real-time temperature and pressure data, the real-time density and viscosity values ​​of high-pressure fluids are calculated using physical property parameter relationships. The basic flow calculation function is nonlinearly corrected based on the real-time density value and the real-time viscosity value to generate a density correction term and a viscosity correction term. The density correction term and the viscosity correction term are integrated into the basic flow calculation function to form the dynamic compensation model that includes temperature-pressure coupling compensation relationship.

5. The high-pressure turbine flow measurement system based on compensation function according to claim 4, characterized in that, The compensation calculation module is specifically used for: The turbine speed signal is input into the basic flow calculation function to obtain the uncompensated flow value; The temperature signal and the pressure signal are input into the dynamic compensation model to obtain the corresponding density correction term and viscosity correction term; The density correction term and the viscosity correction term are applied to perform coupled compensation calculation on the uncompensated flow rate value, and the compensated flow rate value is output.

6. The high-pressure turbine flow measurement system based on compensation function according to claim 5, characterized in that, The compensation calculation module is specifically used for: The turbine speed signal is digitally filtered and its frequency is precisely measured to obtain the instantaneous turbine rotation frequency; The instantaneous rotational frequency of the turbine is input into the basic flow calculation function to calculate the uncompensated flow value; The basic flow calculation function is as follows: ; In the formula, This indicates the uncompensated traffic value. Indicates the basic coefficient of the turbine instrument. Indicates the instantaneous rotational frequency of the turbine. Represents the characteristic frequency of the flow regime. Indicates the nonlinear flow resistance coefficient. This indicates the low-frequency correction index. Represents the turbulence attenuation coefficient. This indicates the high-frequency correction index.

7. The high-pressure turbine flow measurement system based on compensation function according to claim 6, characterized in that, The density correction term and viscosity correction term are determined by the following relationship: ； ； In the formula, Represents the density correction term. This indicates the viscosity correction term. Indicates the reference density. Indicates the reference viscosity. This represents the real-time temperature value. This indicates the real-time pressure value. Indicates reference temperature. Indicates reference pressure. to This represents the density correction factor. to This represents the viscosity correction factor.

8. The high-pressure turbine flow measurement system based on compensation function according to claim 7, characterized in that, The compensation calculation module is specifically used for: Establish a coupling compensation relationship between the density correction term, the viscosity correction term, and the uncompensated flow rate value; Based on the coupling compensation relationship, nonlinear compensation calculation is performed on the uncompensated flow value, and the compensated flow value is output. The coupling compensation calculation is determined by the following relationship: ； In the formula, This represents the compensated flow rate value. This indicates the uncompensated traffic value. Represents the density correction term. This indicates the viscosity correction term. Indicates the reference density. Indicates the reference viscosity. This represents the density compensation weighting coefficient. This represents the viscosity compensation weighting coefficient. This represents the cross-coupling compensation coefficient.

9. The high-pressure turbine flow measurement system based on compensation function according to any one of claims 1 to 8, characterized in that, The adaptive learning module is specifically used for: Collect historical sequences of compensated flow rates within a preset time period, and simultaneously acquire historical sequences of temperature and pressure signals for the corresponding time periods; Based on the correlation between the historical sequence of the compensated flow rate value and the historical sequences of the temperature and pressure signals, the mechanical performance variation trend of the turbine flow sensor module is analyzed. The adjustment amount of the compensation parameters of the dynamic compensation model is calculated based on the trend of mechanical property change, and the density correction coefficient and viscosity correction coefficient in the dynamic compensation model are updated using the adjustment amount of the compensation parameters.

10. The high-pressure turbine flow measurement system based on compensation function according to claim 9, characterized in that, The adaptive learning module is also used for: Establish a mapping relationship between the trend of mechanical performance changes and the adjustment amount of compensation parameters; The degree of mechanical performance degradation of the turbine flow sensor module is predicted based on the mapping relationship; The compensation parameters of the dynamic compensation model are adjusted in advance based on the prediction results.

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