Axial flow gas valve and self-adaptive flow intelligent regulating system thereof

Abstract

The application relates to the technical field of gas valve flow regulation, in particular to an axial flow type gas valve and a self-adaptive flow intelligent regulation system thereof. The regulation system collects the minimum opening degree, the maximum opening degree, the inlet pressure, the outlet pressure and the instantaneous flow of the valve; calculates the pressure difference and the initial opening degree of the valve, calculates the power demand factor at the collection moment, determines the starting power of the motor and starts the motor, and calculates the valve regulation gentleness of the valve at the collection moment; and according to the valve regulation gentleness, the flow of the axial flow type gas valve is regulated. The application can self-adaptively regulate the valve flow.

Description

Technical Field

[0001] This application relates to the field of gas valve flow regulation technology, specifically to an axial flow gas valve and its adaptive flow intelligent regulation system. Background Technology

[0002] Axial flow gas valves are valves with a straight, streamlined flow channel. The internal gas flow direction is essentially aligned with the pipeline axis, offering advantages such as smooth flow, low flow resistance, and low aerodynamic noise and vibration. They are widely used in applications requiring stable flow, such as natural gas transportation. During flow regulation in axial flow gas valves, under high pressure differential conditions, the compressibility of the gas flow can lead to nonlinear pressure changes. Furthermore, the aerodynamic noise and vibrations caused by high-speed gas flow can further affect the smoothness of gas flow. Current technologies typically estimate flow changes by monitoring the pressure difference across the valve, and then adjust the valve opening to achieve flow control.

[0003] However, in practical applications, the pressure environment of the pipelines at both ends of an axial flow gas valve is in a dynamic state, and the valve needs to play a role in balancing the pressure on both sides. Relying solely on the pressure difference between the two sides of the valve to adjust the flow rate cannot fully take into account the dynamic fluctuations of the overall pipeline pressure environment, resulting in low accuracy in controlling pipeline pressure stability and making it difficult to meet the pressure control precision requirements of scenarios such as long-distance natural gas transmission and urban pressure regulation. Summary of the Invention

[0004] To address the aforementioned technical problems, this application provides an axial flow gas valve and its adaptive flow intelligent regulation system, the specific technical solution of which is as follows: In a first aspect, one embodiment of the present invention provides an adaptive flow intelligent regulation system for an axial flow gas valve, the system comprising the following modules: The data acquisition module is used to collect the minimum and maximum opening of the valve, as well as the inlet pressure, outlet pressure, and instantaneous flow rate of the valve at different acquisition times. The valve control smoothness determination module is used to calculate the pressure difference and initial opening of the valve at the sampling time based on the difference between the inlet and outlet pressures, the valve opening, and the maximum opening at the sampling time, and to extract the maximum pressure difference the valve can withstand. Based on the difference between the pressure difference the valve can withstand at the sampling time and the maximum pressure difference, as well as the difference in instantaneous flow rate between the sampling time and all previous sampling times, the module calculates the power demand factor at the sampling time. Based on the power demand factor at the first sampling time, the module determines the starting power of the motor and starts the motor. Based on the time interval between different sampling times, the difference in motor power, and the power demand factor, the module calculates the valve control smoothness at each sampling time. The flow regulation module is used to adjust the flow rate of the axial flow gas valve according to the valve control smoothness.

[0005] Furthermore, the pressure difference that the valve withstands at the time of data collection is: the difference between the inlet pressure and the outlet pressure of the valve at the time of data collection.

[0006] Furthermore, the method for obtaining the initial opening degree of the valve is as follows: The ratio of the valve's opening degree to its maximum opening degree is denoted as the valve's opening degree ratio. The ratio of the valve's pressure differential to its maximum pressure differential is denoted as the valve's pressure differential ratio. The positive correlation between the valve's opening degree ratio, pressure differential ratio, and maximum opening degree is denoted as the valve's initial opening degree.

[0007] Furthermore, the maximum pressure difference that the valve can withstand is: the maximum pressure difference that the valve can withstand.

[0008] Furthermore, the method for obtaining the power demand factor at the acquisition time is as follows: The initial opening of the valve is used as the numerator, and the sum of the valve opening and minimum opening at the time of data acquisition is used as the denominator. The result of the fraction calculation is recorded as the first fractional value of the valve at the time of data acquisition. The sampling time and any sampling time before the sampling time are recorded as the target sampling time. The variance of the instantaneous flow rate at the target sampling time and all sampling times before the target sampling time is used as the numerator. The sum of the difference between the maximum pressure difference and the pressure difference that the valve can withstand at the target sampling time and the number 1 is used as the denominator. The result of the fraction calculation is recorded as the second fractional value of the valve at the target sampling time. The mean of the second fractional values ​​at the sampling time and all sampling times before the sampling time is recorded as the first mean value of the valve at the sampling time. The positive correlation between the first score and the first mean of the valve at the time of data collection is recorded as the power demand factor of the valve at the time of data collection.

[0009] Furthermore, the starting power of the motor is the product of the normalized value of the power demand factor of the valve at the first data acquisition moment and the rated power of the motor.

[0010] Furthermore, the method for obtaining the smoothness of valve control is as follows: Based on the time interval between different data collection times and the power demand factor, the power demand bias of the valve at each data collection time is calculated. The ratio of the difference in motor power between the target acquisition time and the previous adjacent acquisition time to the time interval between adjacent acquisition times is denoted as the power difference ratio at the target acquisition time. The sum of the mean of the power difference ratios between the acquisition time and all acquisition times before the acquisition time and the number 1 is used as the denominator. The difference in power demand bias between the acquisition time and the previous adjacent acquisition time is used as the numerator. The value of the fraction is denoted as the valve control smoothness at the acquisition time.

[0011] Furthermore, the method for obtaining the power demand bias is as follows: The time interval between the first acquisition time and the target acquisition time is taken as the numerator, and the time interval between the first acquisition time and the target acquisition time is taken as the denominator. The value of the fraction is recorded as the third fraction value of the valve at the target acquisition time. The cube of the product of the standard fraction of the power demand factor of the valve at the target acquisition time and the third fraction value is recorded as the demand product of the valve at the target acquisition time. The mean of the demand products of the acquisition time and all acquisition times before the acquisition time is recorded as the power demand bias of the valve at the acquisition time.

[0012] Furthermore, the specific method for adjusting the flow rate of the axial flow gas valve based on the valve control smoothness includes: The difference between the digital value 1 and the normalized value of the valve's control smoothness at the acquisition time is used as the input signal of the valve's electronic control unit, which is then used to control the valve's flow rate.

[0013] Secondly, another embodiment of this application provides an axial flow gas valve, in which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the above-described axial flow gas valve adaptive flow intelligent regulation system.

[0014] The embodiments of this application have at least the following beneficial effects: This application first, based on a macroscopic perception of the pipeline pressure environment, pre-predicts the required basic flow rate of the valve and determines the initial valve opening. After the initial opening is adjusted, the valve is opened, allowing gas to flow through. After valve startup, the valve's movement adjustment process needs to be controlled according to the actual power demand during the valve opening adjustment process to adapt it to the pipeline pressure environment. Therefore, the adjustment demand of the valve at the time of data acquisition is evaluated, the power demand factor at the time of data acquisition is obtained, the motor starting power is determined, and the motor is started. Furthermore, to avoid accidents caused by valve body oscillation due to airflow changes during valve adjustment, the valve's... The adjustment requirements at the time of data acquisition are evaluated, and the bias of power demand is determined. The valve control smoothness is obtained, which is used to assess the smoothness of valve control. Finally, based on the valve control smoothness, the response speed of valve control is actively balanced with the safety production requirements of system hardware. The flow rate of the axial flow gas valve is adjusted to solve the problem of low accuracy in controlling pipeline pressure stability when relying solely on the pressure difference across the valve for flow adjustment. The flow rate can be adaptively adjusted to ensure relatively stable pressure across the axial flow gas valve, improve the accuracy and reliability of valve control, and meet the usage requirements of actual working conditions. Attached Figure Description

[0015] To more clearly illustrate the technical solutions and advantages in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 A flowchart illustrating the steps of an axial flow gas valve adaptive flow intelligent regulation system provided in one embodiment of this application. Detailed Implementation

[0017] To further illustrate the technical means and effects adopted by this application to achieve the intended inventive purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of an axial flow gas valve and its adaptive flow intelligent regulation system proposed in this application. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.

[0019] The following description, in conjunction with the accompanying drawings, details the specific scheme of an axial flow gas valve and its adaptive flow intelligent regulation system provided in this application.

[0020] Please see Figure 1 The diagram illustrates a flowchart of an axial flow gas valve adaptive flow intelligent regulation system according to an embodiment of this application. The method includes the following steps: The data acquisition module collects the minimum and maximum opening of the valve, as well as the inlet pressure, outlet pressure, and instantaneous flow rate of the valve at different acquisition times.

[0021] Deploy axial flow gas valves and matching sensor sets at key nodes of the gas pipeline network.

[0022] Among them, the axial flow gas valve adopts a straight-through flow channel design, with gas flowing along the pipeline axis, reducing flow resistance and turbulence, and is suitable for gas transmission scenarios with high pressure differential and large flow rate; the sensor group includes pressure sensor and flow sensor.

[0023] High-precision pressure sensors at both ends of the valve are used to monitor the inlet and outlet pressures. Instantaneous flow rate is collected by an ultrasonic flow sensor located at the valve outlet or on a straight section of the pipeline to ensure accurate flow measurement and fast response. To avoid airflow disturbance affecting measurement accuracy, the sensor should be installed at least five times the pipe diameter away from the valve on a straight pipe section.

[0024] The valve opening and closing is controlled by an electronic control unit (ECU), which extracts the valve's opening degree, minimum opening degree, and maximum opening degree.

[0025] Industrial-grade data acquisition modules using Modbus RTU or CAN bus connect pressure sensors, flow sensors, and electronic control units to a field controller to collect inlet pressure, outlet pressure, instantaneous flow rate, and opening degree. In this embodiment, the data sampling time interval is 100ms. In practical applications, as other implementation methods, implementers can determine the sampling time interval according to actual conditions; this application does not impose any special restrictions.

[0026] At this point, the valve's inlet pressure, outlet pressure, instantaneous flow rate, opening degree, minimum opening degree, and maximum opening degree are obtained.

[0027] The valve control smoothness determination module calculates the pressure difference the valve can withstand and the initial opening of the valve at the time of data acquisition based on the difference between the inlet and outlet pressures, the valve opening, and the maximum opening. It also extracts the maximum pressure difference the valve can withstand. Based on the difference between the pressure difference the valve can withstand and the maximum pressure difference at the time of data acquisition, as well as the difference in instantaneous flow rate between the time of data acquisition and all previous data acquisition times, it calculates the power demand factor at the time of data acquisition. Based on the power demand factor at the first data acquisition time, it determines the starting power of the motor and starts the motor. Based on the time interval between different data acquisition times, the difference in motor power, and the power demand factor, it calculates the valve control smoothness at each data acquisition time.

[0028] The primary step in intelligent valve regulation is to pre-determine the required base flow rate based on a macroscopic perception of the pipeline network pressure environment. This regulation mechanism does not prioritize local states such as the current valve opening, but rather assesses the pressure distribution and operating conditions of the entire pipeline network. Specifically, the system predicts gas load changes within a specific time window and local pipeline area, and, combined with the valve's location and flow characteristics within the network, calculates and pre-sets a reasonable opening degree. This provides a reliable and near-optimal initial operating state for subsequent precise dynamic regulation.

[0029] The difference between the inlet and outlet pressures of the valve at the time of data collection is recorded as the valve's withstand pressure difference at the time of data collection. Using the valve's design parameters, the maximum withstand pressure difference that the valve can withstand is extracted and recorded as the valve's maximum withstand pressure difference.

[0030] Calculate the initial opening of the valve based on the valve's pressure differential, maximum pressure differential, opening degree, and maximum opening degree.

[0031] Preferably, as an embodiment of this application, the ratio of the valve opening degree to the maximum opening degree is recorded as the valve opening degree ratio, the ratio of the valve bearing pressure difference to the maximum bearing pressure difference is recorded as the valve bearing pressure difference ratio, and the positive correlation processing result of the valve opening degree ratio, bearing pressure difference ratio and the maximum opening degree is recorded as the initial opening degree of the valve.

[0032] It is understood that a positive correlation is applied to the valve opening ratio, the pressure difference ratio, and the maximum opening, ensuring that these ratios are positively correlated with the initial opening of the valve. It is also understood that the positive correlation in this application refers to the relationship between the independent and dependent variables. The independent variables are the valve opening ratio, the pressure difference ratio, and the maximum opening, while the dependent variable is the initial opening of the valve. The positive correlation means that the dependent variable increases (decreases) as the independent variable increases (decreases), and this relationship can be additive, multiplicative, etc.

[0033] Preferably, as an embodiment of this application, the product of the valve opening ratio and the preset adjustment coefficient is used as the exponent value of an exponential function with the natural constant as the base. The value of the exponential function is recorded as the first exponent of the valve. The product of the first exponent of the valve, the pressure difference ratio, and the maximum opening is recorded as the initial opening of the valve.

[0034] The preset adjustment coefficient is a constant between 0.01 and 0.1.

[0035] The pressure difference ratio that a valve can withstand is used to evaluate the trend of pressure difference between the two sides of a pipeline and can be used to determine whether a larger initial opening is needed to ensure effective gas transfer.

[0036] To avoid excessive initial valve opening under high-pressure conditions, which would lead to increased subsequent adjustment range and aggravated pressure fluctuations, the initial opening is nonlinearly mapped through the valve's first index. This dynamically corrects the initial opening reference, taking into account the differences in the valve's own flow volume and the changes in upstream and downstream pressure trends. This reduces the adjustment sensitivity of large-diameter valves in the high-pressure range and improves the pressure stability control effect.

[0037] It should be noted that when the initial opening of the valve is greater than the maximum opening of the valve, the initial opening of the valve is assigned to the maximum opening.

[0038] It is understandable that the calculated "initial opening" is used as the target position command for valve control; and the "difference between 1 and the normalized value of valve control smoothness" is used as the PWM signal to control the running speed of the stepper motor when it approaches the target position.

[0039] Once the initial opening is adjusted, the valve needs to be opened to allow gas to flow. In environments with fluctuating gas conditions, the required speed for the valve to adjust to its initial opening varies. Therefore, it is necessary to consider the actual power demand during the valve's opening adjustment process after startup and control the valve's movement to adapt to the pipeline pressure environment, ensuring smooth and precise opening adjustment.

[0040] It should be noted that the initial valve opening is only the preset target position. However, axial flow gas valves have significant static friction, which can cause a "dead zone" phenomenon, meaning the valve does not respond when a small control command is applied. Therefore, it is necessary to comprehensively evaluate the static friction generated by the valve's internal seals and the pressure exerted on the seals by the pipeline pressure difference, taking into account the flow fluctuations caused by changes in the pressure difference across the pipeline, to determine the power requirements for adjusting the valve opening and provide a basis for subsequent precise adjustment.

[0041] The power demand factor at the time of data collection is calculated based on the difference between the pressure difference and the maximum pressure difference that the valve can withstand at the time of data collection, as well as the difference in instantaneous flow rate between the time of data collection and all previous data collection times.

[0042] The initial valve opening is used as the numerator, and the sum of the valve opening and minimum opening at the sampling time is used as the denominator. The result of the fraction calculation is recorded as the first fractional value of the valve at the sampling time. The sampling time and any sampling time before the sampling time are recorded as the target sampling time. The variance of the instantaneous flow rate at the target sampling time and all sampling times before the target sampling time is used as the numerator, and the sum of the difference between the maximum withstand pressure difference and the withstand pressure difference of the valve at the target sampling time and the number 1 is used as the denominator. The result of the fraction calculation is recorded as the second fractional value of the valve at the target sampling time. The mean of the second fractional values ​​at the sampling time and all sampling times before the sampling time is recorded as the first mean of the valve at the sampling time. The positive correlation result between the first fractional value and the first mean of the valve at the sampling time is recorded as the power demand factor of the valve at the sampling time.

[0043] It should be noted that there were no other data collection times before the first data collection time, so the variance could not be calculated. Therefore, the first mean of the valve at the first data collection time was assigned a value of 0.

[0044] The first score of the valve at the time of data acquisition is used to evaluate the difference between the valve's opening degree at the time of acquisition and the target opening degree, and to determine whether there is a higher power demand for valve adjustment. The second score is used to evaluate the significance of the instantaneous flow fluctuation when the valve's pressure difference remains high at the time of acquisition, and to determine whether there is a higher power demand for instantaneous flow adjustment.

[0045] The power demand factor is the evaluation result of the valve's adjustment demand at the time of data acquisition. To avoid accidents caused by valve body oscillation due to airflow changes during valve adjustment, the valve's adjustment demands at different data acquisition times are integrated to determine targeted drive strategies, minimizing mechanical oscillations caused by flow changes. Therefore, before issuing valve control commands, the bias of the power demand must be determined. Based on this bias, the response speed of valve control and the safety production requirements of the system hardware are actively balanced to ensure the safety and stability of the control process.

[0046] For the first data acquisition moment, the product of the normalized value of the valve's power demand factor at that moment and the motor's rated power is used as the motor's starting power, and the motor outputs power at this starting power. In this embodiment, the sigmoid function is used to calculate the normalized value. The sigmoid function is a well-known technique and will not be described in detail here. As for other implementation methods, implementers can use other methods of the prior art, such as the tanh function.

[0047] The time interval between the first acquisition time and the target acquisition time is taken as the numerator, and the time interval between the first acquisition time and the target acquisition time is taken as the denominator. The value of the fraction is recorded as the third fraction value of the valve at the target acquisition time. The cube of the product of the standard fraction of the power demand factor of the valve at the target acquisition time and the third fraction value is recorded as the demand product of the valve at the target acquisition time. The mean of the demand products of the acquisition time and all acquisition times before the acquisition time is recorded as the power demand bias of the valve at the acquisition time.

[0048] Standard scores can transform data into a uniform scale with a mean of 0 and a standard deviation of 1. The calculation of standard scores is a well-known technique and will not be elaborated further.

[0049] The standard score of the power demand factor is used to evaluate the distribution of the power demand factor of the valve at the corresponding data acquisition time. A higher standard score indicates a greater power demand factor for the valve at the corresponding data acquisition time, and a more drastic adjustment demand from the valve at that time. The third score is used to assess the persistence of high power demand at the corresponding data acquisition time; a higher third score indicates a longer duration of high power demand. The power demand bias of the valve at the data acquisition time is an evaluation of the demand bias exhibited by the valve within a continuously changing range.

[0050] For the sake of continuity of calculation, the power demand bias of the valve at the first data acquisition moment is assigned the value 1.

[0051] Furthermore, based on the differences in power demand bias and motor power between adjacent acquisition times, the smoothness of valve control between the next acquisition time and the adjacent acquisition time is calculated.

[0052] The ratio of the difference in motor power between the target acquisition time and the previous adjacent acquisition time to the time interval between adjacent acquisition times is denoted as the power difference ratio at the target acquisition time. The sum of the mean of the power difference ratios between the acquisition time and all acquisition times before the acquisition time and the number 1 is used as the denominator. The difference in power demand bias between the acquisition time and the previous adjacent acquisition time is used as the numerator. The value of the fraction is denoted as the valve control smoothness at the acquisition time.

[0053] Understandably, after calculating the initial valve opening, the motor starts at its starting power. The electronic control unit adjusts the valve opening to the initial opening at the first data acquisition moment. At this time, the motor power will change with the valve opening. Therefore, the motor power at the second data acquisition moment will be different from the motor's starting power at the first data acquisition moment. As the valve opening continues to change, the motor power at adjacent data acquisition moments will also differ. When the motor power at adjacent data acquisition moments remains unchanged, the power difference ratio at the corresponding data acquisition moments is 0.

[0054] Valve control smoothness is used to evaluate the smoothness of valve control.

[0055] At this point, the valve control smoothness at the time of data acquisition is obtained.

[0056] The flow regulation module adjusts the flow rate of the axial flow gas valve based on the smoothness of valve control.

[0057] The difference between the digital value 1 and the normalized value of the valve's control smoothness at the acquisition time is used as the input signal of the valve's electronic control unit. The electronic control unit controls the movement amplitude of the valve's stepper motor, thereby adjusting the valve's opening degree and realizing the valve's adaptive flow regulation.

[0058] In this embodiment, the sigmoid function is used to calculate the normalized value. The sigmoid function is a well-known technique and will not be described in detail here. As for other implementations, implementers can use other methods from the prior art, such as the tanh function. In this embodiment, the PWM duty cycle is selected as the input signal for the electronic control unit.

[0059] When the valve's control smoothness is greater at the time of data acquisition, the valve will perform a smaller degree of opening adjustment and adjust the valve at a slower rate to avoid introducing additional disturbances due to frequent or violent actions and maintain stable pipeline pressure. When the valve's control smoothness is smaller, the valve will perform a faster opening adjustment effect and change the flow rate by a larger magnitude.

[0060] The controller outputs a high drive level, enabling the actuator to respond quickly and significantly change the flow rate.

[0061] This completes the flow regulation of the axial flow gas valve.

[0062] This application also proposes an axial flow gas valve, in which a computer program is stored. When executed by a processor, the computer program implements the steps of the aforementioned adaptive flow intelligent regulation system for an axial flow gas valve. Since a detailed description of an adaptive flow intelligent regulation system for an axial flow gas valve has been provided above, it will not be repeated here.

[0063] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, specific embodiments of this specification have been described above. Additionally, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0064] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0065] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them; modifications to the technical solutions described in the foregoing embodiments, or equivalent substitutions of some of the technical features, do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. An adaptive flow intelligent regulation system for an axial flow gas valve, characterized in that, The system includes the following steps: The data acquisition module is used to collect the minimum and maximum opening of the valve, as well as the inlet pressure, outlet pressure, and instantaneous flow rate of the valve at different acquisition times. The valve control smoothness determination module is used to calculate the pressure difference and initial opening of the valve at the sampling time based on the difference between the inlet and outlet pressures, the valve opening, and the maximum opening at the sampling time, and to extract the maximum pressure difference the valve can withstand. Based on the difference between the pressure difference the valve can withstand at the sampling time and the maximum pressure difference, as well as the difference in instantaneous flow rate between the sampling time and all previous sampling times, the module calculates the power demand factor at the sampling time. Based on the power demand factor at the first sampling time, the module determines the starting power of the motor and starts the motor. Based on the time interval between different sampling times, the difference in motor power, and the power demand factor, the module calculates the valve control smoothness at each sampling time. The flow regulation module is used to adjust the flow rate of the axial flow gas valve according to the valve control smoothness.

2. The adaptive flow intelligent regulation system for an axial flow gas valve according to claim 1, characterized in that, The pressure difference that the valve withstands at the time of data collection is the difference between the inlet pressure and the outlet pressure of the valve at the time of data collection.

3. The adaptive flow intelligent regulation system for an axial flow gas valve according to claim 1, characterized in that, The method for obtaining the initial opening degree of the valve is as follows: The ratio of the valve's opening degree to its maximum opening degree is denoted as the valve's opening degree ratio. The ratio of the valve's pressure differential to its maximum pressure differential is denoted as the valve's pressure differential ratio. The positive correlation between the valve's opening degree ratio, pressure differential ratio, and maximum opening degree is denoted as the valve's initial opening degree.

4. The adaptive flow intelligent regulation system for an axial flow gas valve according to claim 3, characterized in that, The maximum pressure difference that the valve can withstand is: the maximum pressure difference that the valve can withstand.

5. The adaptive flow intelligent regulation system for an axial flow gas valve according to claim 1, characterized in that, The method for obtaining the power demand factor at the time of data collection is as follows: The initial opening of the valve is used as the numerator, and the sum of the valve opening and minimum opening at the time of data acquisition is used as the denominator. The result of the fraction calculation is recorded as the first fractional value of the valve at the time of data acquisition. The sampling time and any sampling time before the sampling time are recorded as the target sampling time. The variance of the instantaneous flow rate at the target sampling time and all sampling times before the target sampling time is used as the numerator. The sum of the difference between the maximum pressure difference and the pressure difference that the valve can withstand at the target sampling time and the number 1 is used as the denominator. The result of the fraction calculation is recorded as the second fractional value of the valve at the target sampling time. The mean of the second fractional values ​​at the sampling time and all sampling times before the sampling time is recorded as the first mean value of the valve at the sampling time. The positive correlation between the first score and the first mean of the valve at the time of data collection is recorded as the power demand factor of the valve at the time of data collection.

6. The adaptive flow intelligent regulation system for an axial flow gas valve according to claim 1, characterized in that, The starting power of the motor is the product of the normalized value of the power demand factor of the valve at the first data acquisition moment and the rated power of the motor.

7. The adaptive flow intelligent regulation system for an axial flow gas valve according to claim 5, characterized in that, The method for obtaining the smoothness of valve regulation is as follows: Based on the time interval between different data collection times and the power demand factor, the power demand bias of the valve at each data collection time is calculated. The ratio of the difference in motor power between the target acquisition time and the previous adjacent acquisition time to the time interval between adjacent acquisition times is denoted as the power difference ratio at the target acquisition time. The sum of the mean of the power difference ratios between the acquisition time and all acquisition times before the acquisition time and the number 1 is used as the denominator. The difference in power demand bias between the acquisition time and the previous adjacent acquisition time is used as the numerator. The value of the fraction is denoted as the valve control smoothness at the acquisition time.

8. The adaptive flow intelligent regulation system for an axial flow gas valve according to claim 7, characterized in that, The method for obtaining the energy demand bias is as follows: The time interval between the first acquisition time and the target acquisition time is taken as the numerator, and the time interval between the first acquisition time and the target acquisition time is taken as the denominator. The value of the fraction is recorded as the third fraction value of the valve at the target acquisition time. The cube of the product of the standard fraction of the power demand factor of the valve at the target acquisition time and the third fraction value is recorded as the demand product of the valve at the target acquisition time. The mean of the demand products of the acquisition time and all acquisition times before the acquisition time is recorded as the power demand bias of the valve at the acquisition time.

9. The adaptive flow intelligent regulation system for an axial flow gas valve according to claim 1, characterized in that, The specific method for adjusting the flow rate of the axial flow gas valve based on the valve control smoothness is as follows: The difference between the digital value 1 and the normalized value of the valve's control smoothness at the acquisition time is used as the input signal of the valve's electronic control unit, which is then used to control the valve's flow rate.

10. An axial flow gas valve, wherein a computer program is stored in the gas valve, characterized in that, When the computer program is executed by the processor, it implements the intelligent flow regulation system as described in any one of claims 1-9.

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