Regulating valve flow test apparatus and system for flow characteristic measurement
By using data acquisition, steady-state analysis, and weighted curve fitting, the problem of inconsistent data quality in the flow characteristic test of the control valve was solved, and the accuracy and reliability of the test results were achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUNAN JIAYI ELECTRIC POWER TECH DEVCO
- Filing Date
- 2026-04-13
- Publication Date
- 2026-06-23
Smart Images
Figure CN122016295B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of flow testing technology, specifically to a flow testing device and system for measuring the flow characteristics of a regulating valve. Background Technology
[0002] The flow characteristic test of a control valve refers to a specialized test conducted under specific test conditions. This test measures the fluid flow rate of the control valve at different valve opening degrees, analyzes and determines the relationship between flow rate and opening degree, and is a crucial step in evaluating the performance of the control valve and ensuring its reliable operation in industrial control systems. The flow characteristic test requires strictly maintaining a constant pressure difference across the valve, measuring flow rate data at different positions within the 0% to 100% opening range, and plotting the flow characteristic curve of the control valve.
[0003] However, the quality of the control valve flow rate collected during the control valve flow characteristic test is inconsistent. The lower quality control valve flow rate value will affect the plotting of the control valve flow characteristic curve, resulting in insufficient accuracy and reliability of the control valve flow characteristic test results. Summary of the Invention
[0004] To solve the above-mentioned technical problems, this application provides a flow testing device and system for measuring the flow characteristics of a regulating valve, and the specific technical solution adopted is as follows:
[0005] In a first aspect, one embodiment of this application provides a flow testing system for measuring the flow characteristics of a regulating valve, the system comprising the following modules:
[0006] The data acquisition module is used to collect flow data, temperature data, and pressure data at the valve inlet and outlet at different preset valve openings during the flow test of the regulating valve.
[0007] The steady-state analysis module is used to analyze the difference in valve opening at adjacent acquisition times, determine the steady-state valve opening at each acquisition time and the steady-state time interval for each preset valve opening. The steady-state valve opening is used to characterize the stability of the valve opening, and the steady-state time interval is the time interval during which the valve opening is stable under the preset valve opening.
[0008] The flow coefficient determination module is used to analyze the differences between different types of data at adjacent acquisition times in the steady-state time interval, and to determine the overall confidence level of the data at each acquisition time. The overall confidence level is used to characterize the accuracy of the data acquired at the acquisition time. Combined with the flow coefficient of the preset valve opening in the steady-state time interval, the adjustment flow coefficient of the preset valve opening in the steady-state time interval is determined. The adjustment flow coefficient is used to characterize the flow capacity of the regulating valve at the preset valve opening.
[0009] The flow characteristic test module is used to perform weighted curve fitting on all preset valve openings and adjustment flow coefficients based on the comprehensive confidence level and valve opening stability of data collected at all times within the steady-state time interval, to obtain the characteristic curve of the control valve flow rate and complete the control valve flow characteristic test.
[0010] Furthermore, the method for obtaining the steady-state valve opening at the acquisition time is as follows:
[0011] Any acquisition time is recorded as the target acquisition time, and all acquisition times within the first preset time length after the target acquisition time are recorded as comparison acquisition times. The valve opening stability at the target acquisition time is negatively correlated with the difference in valve opening at all adjacent comparison acquisition times.
[0012] Furthermore, the method for obtaining the steady-state time interval of the preset valve opening is as follows:
[0013] The first acquisition moment when the valve opening reaches the same preset valve opening is taken as the starting acquisition moment of the same preset valve opening, and a time window with a second preset time length is established with the starting acquisition moment as the center.
[0014] Based on the time of maximum steady-state valve opening within the time window and the end time of the time window, a steady-state time interval for the same preset valve opening is established.
[0015] Furthermore, the method for obtaining the overall confidence level of the data at the acquisition time is as follows:
[0016] Analyze the differences between data of the same type at adjacent acquisition times to construct the data volatility of the same type of data at each acquisition time;
[0017] Based on the differences in data fluctuations between adjacent acquisition times of different types of data within the steady-state time interval, the data correlation of different types of data within the steady-state time interval is determined. The data correlation is used to evaluate the correlation of data change trends within the steady-state time interval.
[0018] Based on the data volatility corresponding to the steady-state time interval of the same type of data at the time of collection and the data correlation of all types of data at the time of collection, the data confidence of the same type of data at the time of collection is calculated; the normalized value of the sum of the data confidence of all types of data at the target time of collection is denoted as the comprehensive data confidence of the target time of collection.
[0019] Furthermore, the method for determining the data correlation is as follows:
[0020] Any two different types of data are denoted as Class I data and Class II data, respectively. The sum of the absolute values of the differences in the volatility of Class I data and Class II data at the same acquisition time in the steady-state time interval is denoted as the second sum of Class I data and Class II data in the steady-state time interval. The negative correlation processing result of the second sum of Class I data and Class II data in the steady-state time interval is denoted as the first characteristic value of Class I data and Class II data in the steady-state time interval.
[0021] The correlation coefficient between Class I and Class II data over the steady-state time interval and the positive correlation with the first eigenvalue are denoted as the data correlation between Class I and Class II data over the steady-state time interval.
[0022] Furthermore, the method for obtaining the overall confidence level of the data at the acquisition time is as follows:
[0023] Any type of data is denoted as three types of data. The absolute value of the difference between the maximum value of the data correlation of the three types of data in the steady-state time interval at the time of collection and the data volatility of the three types of data at the time of collection is denoted as the third absolute value of the three types of data at the time of collection. The negative correlation between the third absolute value of the three types of data at the time of collection and the data volatility is denoted as the second characteristic value of the three types of data at the time of collection.
[0024] The positive correlation result between the second feature value of the three types of data at the time of collection and the maximum value of the data correlation between the three types of data at the time of collection and the steady-state time interval where the three types of data are located is denoted as the data confidence of the three types of data at the time of collection.
[0025] The normalized sum of the confidence scores of all types of data at the time of data collection is denoted as the overall confidence score of the data at the time of data collection.
[0026] Furthermore, the method for obtaining the adjustment flow coefficient of the preset valve opening within the steady-state time interval is as follows:
[0027] Obtain the flow coefficient for the steady-state time interval of each preset valve opening;
[0028] The combined confidence level of all data collected within the steady-state time interval of the preset valve opening is positively correlated with the flow coefficient, and this result is denoted as the adjusted flow coefficient of the preset valve opening within the steady-state time interval.
[0029] Furthermore, the specific method for obtaining the characteristic curve of the regulating valve flow rate by performing weighted curve fitting on all preset valve openings and adjustment flow coefficients based on the comprehensive confidence level and valve opening stability of data collected at all times within the steady-state time interval includes:
[0030] Based on the comprehensive confidence level of data collected at all times within the steady-state time interval and the steady-state attitude of valve opening, the weighting coefficient of the preset valve opening corresponding to the steady-state time interval is calculated.
[0031] The weighting coefficient of the preset valve opening is used as the weight of the preset valve opening. The preset valve opening is used as the independent variable, and the steady-state time interval adjustment flow coefficient of the preset valve opening is used as the dependent variable. The weighted least squares method is used to perform curve fitting on all preset valve openings and adjustment flow coefficients to obtain the characteristic curve of the regulating valve flow.
[0032] Furthermore, the weighting coefficient of the preset valve opening is positively correlated with the overall confidence level of the data collected at all times within the steady-state time interval and the steady-state attitude of the valve opening.
[0033] Secondly, another embodiment of this application provides a flow testing device for measuring flow characteristics of a regulating valve, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the above-described flow testing system for measuring flow characteristics of a regulating valve.
[0034] The embodiments of this application have at least the following beneficial effects:
[0035] This application first characterizes the stability of valve opening based on the difference in valve opening at adjacent acquisition times, and divides the time interval for valve opening stability under a preset valve opening, obtaining the steady-state time interval for each preset valve opening. Flow data may be affected by fluid turbulence, bubbles, or sensor calibration issues, resulting in insufficient accuracy. Similarly, the characteristic curve of the control valve flow rate determined based on the fitting results of flow data with insufficient accuracy will also have insufficient accuracy. Therefore, the accuracy of the data acquired at each acquisition time is evaluated, and combined with the flow coefficient of the steady-state time interval of the preset valve opening, the flow capacity of the control valve at the preset valve opening is evaluated, determining the control capacity of the preset valve opening within the steady-state time interval. The flow rate coefficient is adjusted to avoid the influence of insufficiently accurate flow data on the evaluation results of valve flow capacity. The larger the adjustment flow rate coefficient, the more fluid can pass through the valve per unit time, and the stronger the valve flow capacity. Finally, based on the comprehensive confidence level and valve opening stability of the data collected at all times within the steady-state time interval, a weighted curve fitting is performed on all preset valve openings and the adjustment flow rate coefficient to obtain the characteristic curve of the control valve flow rate. This completes the control valve flow rate characteristic test, solves the problem of inconsistent quality of the control valve flow rate collected during the control valve flow rate characteristic test, which affects the accuracy of the test results, and achieves the purpose of drawing the characteristic curve of the control valve flow rate based on the quality of the control valve flow rate, thus ensuring the accuracy of the test results. Attached Figure Description
[0036] 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.
[0037] Figure 1 This is a flowchart illustrating the steps of a flow test system for measuring flow characteristics of a regulating valve, as provided in one embodiment of this application. Detailed Implementation
[0038] To further illustrate the technical means and effects adopted by this application to achieve the intended purpose of the invention, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of the regulating valve flow test device and system for measuring flow characteristics 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.
[0039] 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.
[0040] The following description, in conjunction with the accompanying drawings, details the specific scheme of the regulating valve flow test device and system for measuring flow characteristics provided in this application.
[0041] Please see Figure 1 The diagram illustrates a flowchart of a flow test system for measuring flow characteristics of a regulating valve according to an embodiment of this application. The system includes: a data acquisition module, a steady-state analysis module, an adjustment flow coefficient determination module, and a flow characteristic test module.
[0042] Step S001: The data acquisition module collects flow data, temperature data, and pressure data at the valve inlet and outlet at different preset valve openings during the flow test of the regulating valve.
[0043] The flow test of the control valve is conducted as follows: The control valve under test is closed, the medium source is started, and the test medium begins to circulate in the pipeline loop. The pressure stabilizing and regulating equipment is adjusted to stabilize the system inlet pressure at the preset test pressure value. The readings of the flow meter upstream of the control valve, the pressure sensor and temperature sensor at the valve inlet, and the pressure sensor downstream of the valve outlet are observed. After the flow meter, pressure sensor, and pressure sensor downstream are all stable, the formal testing phase begins. In the formal testing phase, starting from when the valve is fully closed to when it is fully open, a valve opening point is set every 5% of the valve opening. A total of 20 valve opening points are set from when the valve is fully closed to when it is fully open. The valve opening at each preset valve opening point is stabilized for 30 seconds. After 30 seconds of stabilization, the valve opening is increased. Throughout the formal testing phase, the flow meter upstream of the control valve is used to collect flow data, the pressure sensor and temperature sensor at the valve inlet are used to collect pressure and temperature data at the valve inlet, respectively, and the pressure sensor downstream of the valve outlet is used to collect pressure data at the valve outlet.
[0044] In this embodiment, the medium source is a water pump, the test medium is water, the preset test pressure value is 0.5MPa, and the valve opening value is fed back in real time by the valve position sensor. In this embodiment, the sampling frequency of all flow data, pressure data and temperature data is 100Hz. When the valve is fully closed, the valve opening is 0%, and when the valve is fully open, the valve opening is 100%.
[0045] It is important to note that all flow, pressure, and temperature data are sampled simultaneously under the same clock drive to ensure consistent data timestamps.
[0046] Thus, the flow data, valve inlet temperature data, and valve inlet and outlet pressure data for different preset valve openings during the control valve flow test were obtained.
[0047] Step S002, steady state analysis module, analyzes the difference in valve opening at adjacent acquisition times, determines the steady state of valve opening at each acquisition time and the steady state time interval for each preset valve opening. The steady state of valve opening is used to characterize the stability of valve opening, and the steady state time interval is the time interval during which valve opening is stable under the preset valve opening.
[0048] Any acquisition time is recorded as the target acquisition time. All acquisition times within the first preset time length after the target acquisition time are recorded as comparison acquisition times. Based on the difference in valve opening between adjacent comparison acquisition times, the first absolute value and the first ratio of each comparison acquisition time are calculated.
[0049] Preferably, as an embodiment of this application, the absolute value of the difference between the valve opening at the comparison acquisition time and the next adjacent comparison acquisition time is calculated, the normalized value of the absolute value is recorded as the first absolute value at the comparison acquisition time, the maximum value of the valve opening between the comparison acquisition time and the next adjacent comparison acquisition time is recorded as the characteristic valve opening at the comparison acquisition time, and the ratio of the absolute value to the characteristic valve opening at the comparison acquisition time is recorded as the first ratio at the comparison acquisition time.
[0050] It should be noted that when the comparison acquisition time cannot be determined within the first preset time length after the target acquisition time, or when there is no subsequent adjacent comparison acquisition time, the target acquisition time will not be analyzed.
[0051] The sum of the products of the first ratio and the first absolute value of all comparison acquisition times at the target acquisition time is recorded as the first cumulative sum at the target acquisition time. The negative correlation processing result of the first cumulative sum at the target acquisition time is recorded as the valve opening stability at the target acquisition time.
[0052] In this embodiment, the first preset time length is set to 30 seconds; the normalized value of the absolute value in this embodiment is the ratio of the absolute value to the maximum value of all valve openings, that is, the normalization process is performed using the maximum and minimum value normalization method.
[0053] It is understandable that the first accumulated sum at the target acquisition time is subjected to negative correlation processing, that is, to ensure that the first accumulated sum at the target acquisition time is negatively correlated with the steady-state valve opening at the target acquisition time. It is also understood that the negative correlation in this application refers to the relationship between the independent variable and the dependent variable, where the independent variable is the first accumulated sum at the target acquisition time, and the dependent variable is the steady-state valve opening at the target acquisition time. The negative correlation means that the dependent variable decreases (increases) as the independent variable increases (decreases), and can be an inverse relationship, a subtraction relationship, etc.
[0054] Preferably, as an embodiment of this application, the negative of the first cumulative sum at the target acquisition time is used as the exponent value of an exponential function with the natural constant as the base, and the calculated value of the exponential function is recorded as the valve opening stability at the target acquisition time.
[0055] The same method can be used to obtain the valve opening stability at any given time.
[0056] The larger the stability of the valve opening at the acquisition time, the more likely it is to reach the starting time of the corresponding preset valve opening at that acquisition time. In this case, the smaller the relative difference of the valve opening at adjacent comparative acquisition times, the smaller the first ratio and the first absolute value. The purpose of using the first ratio and the first absolute value is to determine the relative difference of the valve opening at adjacent comparative acquisition times and to avoid the influence of the valve opening value on the evaluation result of the relative difference.
[0057] The first acquisition moment when the valve opening reaches the same preset valve opening is taken as the starting acquisition moment of the same preset valve opening. A time window with a second preset time length is established with the starting acquisition moment as the center. The steady-state time interval of the same preset valve opening is established based on the acquisition moment when the valve opening stability is the largest within the time window and the end time of the time window.
[0058] Preferably, as an embodiment of this application, the time when the valve opening is at its maximum steady state within the time window is taken as the start time of the steady-state time interval, and the end time of the second preset time window is taken as the end time of the steady-state time interval, thus establishing the steady-state time interval for the same preset valve opening.
[0059] In this embodiment, the second preset time length is set to 10 seconds.
[0060] It is understood that this embodiment sets a total of 20 valve opening points. Therefore, for the steady-state time interval of these 20 preset valve openings, each preset valve opening has a corresponding steady-state time interval.
[0061] At this point, the steady-state time interval for each preset valve opening degree is determined.
[0062] Step S003: Adjust the flow coefficient determination module, analyze the differences between different types of data at adjacent acquisition times in the steady-state time interval, determine the comprehensive confidence level of the data at each acquisition time, the comprehensive confidence level of the data is used to characterize the accuracy of the data acquired at the acquisition time, and combine the flow coefficient of the preset valve opening in the steady-state time interval to determine the adjustment flow coefficient of the preset valve opening in the steady-state time interval, the adjustment flow coefficient is used to characterize the flow capacity of the regulating valve at the preset valve opening.
[0063] Flow data may be affected by fluid turbulence, bubbles, or sensor calibration issues, resulting in insufficient accuracy. The characteristic curve of the control valve flow rate determined by fitting the flow data with insufficient accuracy will also have insufficient accuracy.
[0064] For any type of data at any acquisition time, the absolute value of the difference between the acquisition time and the next adjacent acquisition time of the same type of data is denoted as the second absolute value of the same type of data at the acquisition time. The maximum value among the same type of data at the acquisition time and the next adjacent acquisition time is denoted as the first maximum value of the same type of data at the acquisition time. The ratio of the second absolute value to the first maximum value of the same type of data at the acquisition time is denoted as the data volatility of the same type of data at the acquisition time.
[0065] It is understandable that the types of data collected at any given time include flow rate data, temperature data, valve inlet pressure data, and valve outlet pressure data.
[0066] Any two different types of data are denoted as Class I data and Class II data, respectively. The sum of the absolute values of the differences in the volatility of Class I and Class II data at the same acquisition time within the steady-state time interval is denoted as the second sum of Class I and Class II data within the steady-state time interval. The negative correlation result of the second sum of Class I and Class II data within the steady-state time interval is denoted as the first characteristic value of Class I and Class II data within the steady-state time interval. The positive correlation result of the correlation coefficient between Class I and Class II data within the steady-state time interval and the first characteristic value is denoted as the data correlation between Class I and Class II data within the steady-state time interval.
[0067] Preferably, as an embodiment of this application, the reciprocal of the sum of the second cumulative sum of the first type of data and the second type of data in the steady-state time interval and the sum of 0.01 is recorded as the first characteristic value of the first type of data and the second type of data in the steady-state time interval.
[0068] It is understood that the correlation coefficients and first eigenvalues of the first and second types of data within the steady-state time interval are positively correlated, ensuring that the correlation coefficients and first eigenvalues of the first and second types of data within the steady-state time interval are positively correlated with the data correlation of the first and second types of data within the steady-state time interval. It is understood that the positive correlation in this application refers to the relationship between the independent and dependent variables. The independent variables are the correlation coefficients and first eigenvalues of the first and second types of data within the steady-state time interval, and the dependent variable is the data correlation of the first and second types of data within the steady-state time interval. The positive correlation means that the dependent variable increases (decreases) as the independent variable increases (decreases), and can be an additive or multiplicative relationship.
[0069] Preferably, as an embodiment of this application, the product of the absolute values of the correlation coefficients of Class I data and Class II data in the steady-state time interval is denoted as the data correlation between Class I data and Class II data in the steady-state time interval.
[0070] In this embodiment, the Pearson correlation coefficient is used as the correlation coefficient between Class I and Class II data in the steady-state time interval. As for other implementation methods, while achieving the purpose of measuring the correlation between Class I and Class II data, implementers can use other methods in the prior art, such as cosine similarity and Spearman correlation coefficient, to obtain the correlation coefficient between Class I and Class II data. This application does not impose any special restrictions.
[0071] The greater the correlation between Class I and Class II data within the steady-state time interval, the more obvious the correlation between the data change trends of Class I and Class II data within the steady-state time interval.
[0072] The same method can be used to obtain the data correlation between any two different types of data in each steady-state time interval.
[0073] Any type of data is denoted as three categories. The absolute value of the difference between the maximum value of the data correlation of the three categories of data in the steady-state time interval corresponding to the target acquisition time and the data volatility of the three categories of data in the target acquisition time is denoted as the third absolute value of the three categories of data in the target acquisition time. The negative correlation result between the third absolute value of the three categories of data in the target acquisition time and the data volatility is denoted as the second characteristic value of the three categories of data in the target acquisition time. The positive correlation result between the second characteristic value of the three categories of data in the target acquisition time and the maximum value of the data correlation of the three categories of data in the steady-state time interval corresponding to the target acquisition time is denoted as the data confidence level of the three categories of data in the target acquisition time.
[0074] Preferably, as an embodiment of this application, the ratio of the number 1 to the product of the third absolute value of the three types of data at the target acquisition time and the data volatility is recorded as the second characteristic value of the three types of data at the target acquisition time. During the ratio calculation, to avoid the denominator being zero, a preset value needs to be added to the denominator; in this embodiment, the preset value is 0.008.
[0075] Preferably, as an embodiment of this application, the product of the second feature value of the three types of data at the target acquisition time and the maximum value of the data correlation corresponding to the steady-state time interval where the three types of data are located at the target acquisition time is denoted as the data confidence of the three types of data at the target acquisition time.
[0076] The same method can be used to obtain the data confidence level of all types of data at the target acquisition time.
[0077] There is a physical coupling relationship between flow rate, pressure, and temperature data, and their fluctuations should exhibit a certain degree of synchronicity or correlation. If the fluctuation of one type of data differs significantly from that of its most correlated type, it may indicate sensor malfunction, signal interference, system instability, or abnormal physical processes. Calculating the third absolute value serves as a "consistency penalty," specifically: the larger the third absolute value, the lower the confidence level of the corresponding data, allowing for the determination of whether signals from different sensors are coordinated.
[0078] The normalized sum of the confidence scores of all types of data at the target acquisition time is denoted as the overall confidence score of the data at the target acquisition time.
[0079] The same method can be used to obtain the overall confidence level of the data at each collection time.
[0080] In this implementation, the maximum-minimum normalization method is used for normalization processing to obtain the overall confidence level of the data at the time of collection.
[0081] The higher the overall confidence level of the data at the time of acquisition, the more accurate the data collected at that time will be, and the more accurately the data collected at that time will reflect the flow characteristics under the current valve opening.
[0082] Obtain the flow coefficient for the steady-state time interval of each preset valve opening.
[0083] The flow coefficient is determined based on the relative density of the test medium and the pressure data at the valve inlet and outlet. Obtaining the flow coefficient is a well-known technique and will not be elaborated further. The physical meaning of the flow coefficient is: under standard reference conditions, the volume of fluid that can pass through the control valve per unit time. The standard reference conditions are 20°C clean water and a pressure difference of 1 psi across the valve. The flow coefficient directly reflects the flow capacity of the control valve. Specifically: the larger the flow coefficient, the more fluid can pass through the valve per unit time, and the stronger the valve's flow capacity; conversely, the smaller the flow coefficient, the less fluid can pass through the valve per unit time, and the weaker the valve's flow capacity.
[0084] The combined confidence level of all data collected within the steady-state time interval of the preset valve opening is positively correlated with the flow coefficient, and this result is denoted as the adjusted flow coefficient of the preset valve opening within the steady-state time interval.
[0085] Preferably, as an embodiment of this application, the average of the product of the confidence level and the flow coefficient of all data collected at all times within the steady-state time interval of the preset valve opening is recorded as the adjustment flow coefficient of the preset valve opening within the steady-state time interval.
[0086] At this point, the adjustment flow coefficient for each preset valve opening degree within the steady-state time interval is obtained.
[0087] Step S004, Flow Characteristic Test Module: Based on the comprehensive confidence level and valve opening stability of the data collected at all times within the steady-state time interval, the module performs weighted curve fitting on all preset valve openings and adjustment flow coefficients to obtain the characteristic curve of the regulating valve flow rate, thus completing the regulating valve flow characteristic test.
[0088] Based on the comprehensive confidence level of data collected at all times within the steady-state time interval and the steady-state attitude of valve opening, the weighting coefficient of the preset valve opening corresponding to the steady-state time interval is calculated.
[0089] Preferably, as an embodiment of this application, the sum of the confidence scores of all data collected at all times within the steady-state time interval and the product of the valve opening stability score at the first data collection time within the steady-state time interval are recorded as the weighting coefficient of the preset valve opening corresponding to the steady-state time interval.
[0090] The larger the weighting coefficient of the preset valve opening, the more stable and accurate the data collected under the preset valve opening will be. Therefore, the process of generating the characteristic curve of the control valve flow should rely more on the data collected under the preset valve opening to reduce the impact of the low-quality control valve flow value on the plotting of the control valve flow characteristic curve, and improve the accuracy and reliability of the control valve flow characteristic test results.
[0091] The weighting coefficient of the preset valve opening is used as the weight of the preset valve opening. The preset valve opening is used as the independent variable, and the steady-state time interval adjustment flow coefficient of the preset valve opening is used as the dependent variable. The weighted least squares method is used to perform curve fitting on all preset valve openings and adjustment flow coefficients to obtain the characteristic curve of the regulating valve flow and complete the regulating valve flow characteristic test.
[0092] The use of weighted least squares for curve fitting is a well-known technique and will not be elaborated further.
[0093] This completes the flow characteristic test of the control valve.
[0094] This application also proposes a flow testing device for measuring the flow characteristics of a control valve, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it performs the steps described above. Since the flow testing system for measuring the flow characteristics of a control valve has been described in detail above, it will not be repeated here.
[0095] 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.
[0096] 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.
[0097] 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. A flow test system for regulating valves used to measure flow characteristics, characterized in that, The system includes the following modules: The data acquisition module is used to collect flow data, temperature data, and pressure data at the valve inlet and outlet at different preset valve openings during the flow test of the regulating valve. The steady-state analysis module is used to analyze the difference in valve opening at adjacent acquisition times, determine the steady-state valve opening at each acquisition time and the steady-state time interval for each preset valve opening. The steady-state valve opening is used to characterize the stability of the valve opening, and the steady-state time interval is the time interval during which the valve opening is stable under the preset valve opening. The flow coefficient determination module is used to analyze the differences between different types of data at adjacent acquisition times in the steady-state time interval, and to determine the overall confidence level of the data at each acquisition time. The overall confidence level is used to characterize the accuracy of the data acquired at the acquisition time. Combined with the flow coefficient of the preset valve opening in the steady-state time interval, the adjustment flow coefficient of the preset valve opening in the steady-state time interval is determined. The adjustment flow coefficient is used to characterize the flow capacity of the regulating valve at the preset valve opening. The flow characteristic test module is used to perform weighted curve fitting on all preset valve openings and adjustment flow coefficients based on the comprehensive confidence level and valve opening stability of data collected at all times within the steady-state time interval, to obtain the characteristic curve of the control valve flow rate and complete the control valve flow characteristic test. The method for obtaining the overall confidence level of the data at the time of acquisition is as follows: Analyze the differences between data of the same type at adjacent acquisition times to construct the data volatility of the same type of data at each acquisition time; Based on the differences in data fluctuations between adjacent acquisition times of different types of data within the steady-state time interval, the data correlation of different types of data within the steady-state time interval is determined. The data correlation is used to evaluate the correlation of data change trends within the steady-state time interval. Based on the data volatility corresponding to the steady-state time interval of the same type of data at the time of collection and the data correlation of all types of data at the time of collection, the data confidence of the same type of data at the time of collection is calculated; the normalized value of the sum of the data confidence of all types of data at the target time of collection is denoted as the comprehensive data confidence of the target time of collection. The method for determining the data correlation is as follows: Any two different types of data are denoted as Class I data and Class II data, respectively. The sum of the absolute values of the differences in the volatility of Class I data and Class II data at the same acquisition time in the steady-state time interval is denoted as the second sum of Class I data and Class II data in the steady-state time interval. The negative correlation processing result of the second sum of Class I data and Class II data in the steady-state time interval is denoted as the first characteristic value of Class I data and Class II data in the steady-state time interval. The correlation coefficient between Class I and Class II data in the steady-state time interval and the positive correlation with the first eigenvalue are denoted as the data correlation between Class I and Class II data in the steady-state time interval. The method for obtaining the overall confidence level of the data at the time of acquisition is as follows: Any type of data is denoted as three types of data. The absolute value of the difference between the maximum value of the data correlation of the three types of data in the steady-state time interval at the time of collection and the data volatility of the three types of data at the time of collection is denoted as the third absolute value of the three types of data at the time of collection. The negative correlation between the third absolute value of the three types of data at the time of collection and the data volatility is denoted as the second characteristic value of the three types of data at the time of collection. The positive correlation result between the second feature value of the three types of data at the time of collection and the maximum value of the data correlation between the three types of data at the time of collection and the steady-state time interval where the three types of data are located is denoted as the data confidence of the three types of data at the time of collection. The normalized sum of the confidence scores of all types of data at the time of data collection is denoted as the overall confidence score of the data at the time of data collection.
2. The flow test system for measuring flow characteristics of a regulating valve according to claim 1, characterized in that, The method for obtaining the steady state of valve opening at the acquisition time is as follows: Any acquisition time is recorded as the target acquisition time, and all acquisition times within the first preset time length after the target acquisition time are recorded as comparison acquisition times. The valve opening stability at the target acquisition time is negatively correlated with the difference in valve opening at all adjacent comparison acquisition times.
3. The flow test system for measuring flow characteristics of a regulating valve according to claim 1, characterized in that, The method for obtaining the steady-state time interval of the preset valve opening is as follows: The first acquisition moment when the valve opening reaches the same preset valve opening is taken as the starting acquisition moment of the same preset valve opening, and a time window with a second preset time length is established with the starting acquisition moment as the center. Based on the time of maximum steady-state valve opening within the time window and the end time of the time window, a steady-state time interval for the same preset valve opening is established.
4. The flow test system for measuring flow characteristics of a regulating valve according to claim 1, characterized in that, The method for obtaining the adjustment flow coefficient of the preset valve opening in the steady-state time interval is as follows: Obtain the flow coefficient for the steady-state time interval of each preset valve opening; The combined confidence level of all data collected within the steady-state time interval of the preset valve opening is positively correlated with the flow coefficient, and this result is denoted as the adjusted flow coefficient of the preset valve opening within the steady-state time interval.
5. The flow test system for measuring flow characteristics of a regulating valve according to claim 1, characterized in that, The method for obtaining the characteristic curve of the regulating valve flow rate by performing weighted curve fitting on all preset valve openings and adjustment flow coefficients based on the comprehensive confidence level and valve opening stability of data collected at all times within the steady-state time interval, and the valve opening stability, includes the following specific methods: Based on the comprehensive confidence level of data collected at all times within the steady-state time interval and the steady-state attitude of valve opening, the weighting coefficient of the preset valve opening corresponding to the steady-state time interval is calculated. The weighting coefficient of the preset valve opening is used as the weight of the preset valve opening. The preset valve opening is used as the independent variable, and the steady-state time interval adjustment flow coefficient of the preset valve opening is used as the dependent variable. The weighted least squares method is used to perform curve fitting on all preset valve openings and adjustment flow coefficients to obtain the characteristic curve of the regulating valve flow.
6. The flow test system for measuring flow characteristics of a regulating valve according to claim 5, characterized in that, The weighting coefficients of the preset valve opening are positively correlated with the overall confidence level of the data collected at all times within the steady-state time interval and the steady-state attitude of the valve opening.