CN117969074A

CN117969074A - Valve performance analysis method, device, equipment and storage medium

Info

Publication number: CN117969074A
Application number: CN202410376458.0A
Authority: CN
Inventors: 任文彬
Original assignee: Shenzhen Nanhai Nuclear Power Technology Co ltd
Current assignee: Shenzhen Nanhai Nuclear Power Technology Co ltd
Priority date: 2024-03-29
Filing date: 2024-03-29
Publication date: 2024-05-03
Anticipated expiration: 2044-03-29
Also published as: CN117969074B

Abstract

The application relates to the technical field of valve detection, and discloses a valve performance analysis method, device, equipment and storage medium. The method comprises the following steps: acquiring control signal data in first dynamic scanning data, acquiring displacement difference data in the first dynamic scanning data, generating a valve scanning curve based on the control signal data and the displacement difference data, and calculating first performance parameters of a non-pilot valve according to the valve scanning curve to obtain a first performance parameter set; based on the first dynamic scanning data and the mechanical performance curve, performing second performance parameter analysis on the non-pilot valve to obtain a second performance parameter set; the method comprises the steps of obtaining second dynamic scanning data of the pilot valve, and analyzing the performance of the pilot valve according to the second dynamic scanning data to obtain a third performance parameter set.

Description

Valve performance analysis method, device, equipment and storage medium

Technical Field

The present application relates to the field of valve detection, and in particular, to a method, an apparatus, a device, and a storage medium for analyzing performance of a valve.

Background

Valves play a critical role in numerous industrial fields as critical components for controlling fluid flow. Whether in industries such as petrochemical industry, pharmacy, energy power generation, water treatment and the like, the performance of the valve directly influences the safety, efficiency and operation cost of the whole system. With the continuous improvement of the industrial automation degree, the performance requirements on the valve are higher and higher, and the valve not only comprises the basic switching function of the valve, but also relates to the aspects of the capacity of precisely controlling the flow, the response speed, the durability, the convenience of maintenance and the like. Therefore, developing a method for comprehensively evaluating valve performance can provide important support for valve design, type selection, maintenance and fault diagnosis, and is an important requirement in the current valve technology research field.

Although the prior art has been able to provide a degree of valve performance assessment, there are some shortcomings. Many existing evaluation methods focus mainly on one or several performance parameters of the valve, such as switching performance, tightness or pressure resistance, and lack a comprehensive evaluation of the valve performance. The one-sided evaluation method may not accurately reflect the comprehensive performance of the valve under actual working conditions. Secondly, the existing method often requires more manual intervention in the data acquisition and analysis process, which not only increases the complexity and cost of the evaluation process, but also can influence the accuracy of the evaluation result due to improper operation. In addition, performance analysis of the pilot valve and the non-pilot valve often uses different methods, which can be inconvenient for the user in performing valve selection and comparison.

Disclosure of Invention

The application provides a valve performance analysis method, a device, equipment and a storage medium, which are used for improving the efficiency and accuracy of valve performance detection.

In a first aspect, the present application provides a method for analyzing the performance of a valve, the method comprising: acquiring first dynamic scanning data of a non-pilot valve, generating a mechanical performance curve according to the first dynamic scanning data, and calculating a first mechanical performance data set of the non-pilot valve according to the mechanical performance curve, wherein the first mechanical performance data set comprises: valve travel, seating pressure, and seating force;

Acquiring displacement signal data and driving air pressure data of the non-pilot valve according to the mechanical performance curve, generating an air pressure change curve according to the displacement signal data and the driving air pressure data, and calculating a second mechanical performance data set of the non-pilot valve according to the air pressure change curve;

Acquiring control signal data in the first dynamic scanning data, acquiring displacement difference data in the first dynamic scanning data, generating a valve scanning curve based on the control signal data and the displacement difference data, and calculating a first performance parameter of the non-pilot valve according to the valve scanning curve to obtain a first performance parameter set;

Based on the first dynamic scanning data and the mechanical performance curve, performing second performance parameter analysis on the non-pilot valve to obtain a second performance parameter set;

And acquiring second dynamic scanning data of the pilot valve, and performing pilot valve performance analysis on the pilot valve according to the second dynamic scanning data to obtain a third performance parameter set.

With reference to the first aspect, in a first implementation manner of the first aspect of the present application, the acquiring first dynamic scan data of the non-pilot valve, generating a mechanical performance curve according to the first dynamic scan data, and calculating a first mechanical performance data set of the non-pilot valve according to the mechanical performance curve includes:

Acquiring the first dynamic scanning data, generating a mechanical performance curve according to the first dynamic scanning data, and extracting valve opening instruction time and valve closing instruction time in the first dynamic scanning data based on the mechanical performance curve;

Extracting first displacement data corresponding to the valve opening instruction time based on the valve opening instruction time, and extracting second displacement data corresponding to the valve closing instruction time;

Based on the valve closing instruction time, collecting third displacement data of the non-pilot valve when the valve closing instruction is finished;

performing difference calculation on the first displacement data and the second displacement data to obtain a first displacement difference;

Performing difference calculation on the first displacement data and the third displacement data to obtain a second displacement difference value;

Performing numerical comparison on the first displacement difference value and the second displacement difference value to obtain a numerical comparison result, when the numerical comparison result is that the first displacement difference value is larger, taking the first displacement difference value as a valve stroke, and when the numerical comparison result is that the second displacement difference value is larger, taking the second displacement difference value as the valve stroke;

Analyzing the seating force of the non-pilot valve through the mechanical performance curve to obtain seating pressure and seating force;

The seating pressure, the seating force, and the valve travel are combined into the first mechanical property data set.

With reference to the first aspect, in a second implementation manner of the first aspect of the present application, the performing, by using the mechanical performance curve, a seating force analysis on the non-pilot valve to obtain a seating pressure and a seating force includes:

performing test type analysis on the mechanical performance curve to obtain the current test type of the non-pilot valve;

When the current test type is an air-break type, acquiring a first driving air pressure when the displacement starts to change based on the mechanical performance curve, and acquiring a second driving air pressure when the displacement changes;

The non-pilot valve is subjected to seating pressure calculation according to the first driving air pressure and the second driving air pressure to obtain seating pressure, and meanwhile, the seating pressure is multiplied by a preset effective area of a diaphragm to obtain the seating force;

When the test type is an air-off type, collecting third driving air pressure when the valve is opened in place based on the mechanical performance curve, and meanwhile, collecting maximum driving air pressure in the valve opening process and taking the maximum driving air pressure as fourth driving air pressure;

And carrying out seating pressure calculation on the non-pilot valve according to the third driving air pressure and the fourth driving air pressure to obtain seating pressure, and multiplying the seating pressure by a preset effective area of a diaphragm to obtain the seating force.

With reference to the first aspect, in a third implementation manner of the first aspect of the present application, the acquiring displacement signal data and driving air pressure data of the non-pilot valve according to the mechanical performance curve, generating an air pressure change curve according to the displacement signal data and the driving air pressure data, and calculating a second mechanical performance data set of the non-pilot valve according to the air pressure change curve includes:

Acquiring displacement signal data and driving air pressure data of the non-pilot valve according to the mechanical performance curve;

taking the displacement signal data as horizontal axis data and the driving air pressure data as vertical axis data, and establishing the air pressure change curve;

calibrating the data acquisition interval of the transverse axis data based on a preset valve opening range to obtain a target data acquisition interval;

Analyzing the data sampling points in the target data acquisition interval to obtain a plurality of data sampling points, and respectively carrying out data acquisition on each data sampling point to obtain an air pressure data set of each data sampling point, wherein the air pressure data set of each data sampling point comprises valve opening driving air pressure and valve closing driving air pressure of each data sampling point;

Calculating average air pressure data of each data sampling point based on an air pressure data set of each data sampling point, and calculating air pressure error data of each data sampling point based on the average air pressure data of each data sampling point;

Obtaining friction force data of each data sampling point based on average air pressure data of each data sampling point and air pressure error data of each data sampling point;

Carrying out friction force analysis on the non-pilot valve based on friction force data of each data sampling point to obtain maximum friction force of the non-pilot valve, corresponding stroke of the maximum friction force of a valve rod, average friction force of the valve rod, maximum friction force position and minimum friction force, and simultaneously carrying out BS value analysis on the non-pilot valve based on friction force data of each data sampling point to obtain maximum BS value and minimum BS value of the non-pilot valve;

Based on valve travel, carrying out air supply pressure parameter analysis on the non-pilot valve to obtain an air supply pressure parameter set;

And combining the maximum friction force of the non-pilot valve, the valve rod maximum friction force corresponding stroke, the valve rod average friction force, the maximum friction force position, the minimum friction force, the maximum BS value, the minimum BS value and the air supply pressure parameter set into a second mechanical performance data set of the non-pilot valve.

With reference to the first aspect, in a fourth implementation manner of the first aspect of the present application, performing friction analysis on the non-pilot valve based on the friction data of each data sampling point to obtain a maximum friction force of the non-pilot valve, a corresponding stroke of a maximum friction force of a valve rod, an average friction force of the valve rod, a maximum friction force position, and a minimum friction force, and performing BS value analysis on the non-pilot valve based on the friction data of each data sampling point to obtain a maximum BS value and a minimum BS value of the non-pilot valve, where the BS value analysis includes:

Fitting friction force data of each data sampling point into a target straight line through a least square method;

Performing BS value analysis on the non-pilot valve based on the target straight line to obtain a maximum BS value and a minimum BS value of the non-pilot valve;

And carrying out friction force analysis on the non-pilot valve based on friction force data of each data sampling point to obtain maximum friction force, valve rod maximum friction force corresponding stroke, valve rod average friction force, maximum friction force position and minimum friction force of the non-pilot valve.

With reference to the first aspect, in a fifth implementation manner of the first aspect of the present application, the performing, based on a valve stroke, gas supply pressure parameter analysis on the non-pilot valve to obtain a gas supply pressure parameter set includes:

Calculating an intermediate parameter based on the air pressure data set of each data sampling point to obtain the intermediate parameter;

multiplying the intermediate parameter by the effective area of the diaphragm to obtain a target elastic coefficient;

Based on the target elastic coefficient, performing air supply pressure parameter analysis on the non-pilot valve to obtain an air supply pressure parameter set, wherein the air supply pressure parameter set comprises: initial air supply pressure, minimum air supply pressure, maximum air supply pressure, and air supply pressure drop rate.

With reference to the first aspect, in a sixth implementation manner of the first aspect of the present application, the acquiring control signal data in the first dynamic scan data, and meanwhile, acquiring displacement difference data in the first dynamic scan data, generating a valve scan curve based on the control signal data and the displacement difference data, and performing first performance parameter calculation on the non-pilot valve according to the valve scan curve, to obtain a first performance parameter set, includes:

acquiring control signal data in the first dynamic scanning data, and simultaneously acquiring displacement difference data in the first dynamic scanning data;

Constructing the valve scanning curve by taking the control signal data as a horizontal axis and the displacement difference data as a vertical axis;

The valve scanning curve generating method comprises the steps of taking a value of a first coordinate axis of the valve scanning curve to obtain a first control signal and a second control signal, and generating a signal control stroke according to the first control signal and the second control signal;

The second coordinate axis of the valve scanning curve is valued to obtain a first displacement difference and a second displacement difference, and a target displacement value is generated according to the first displacement difference and the second displacement difference;

and controlling the stroke according to the signal and generating the first performance parameter set according to the target displacement value.

In a second aspect, the present application provides a valve performance analysis apparatus, comprising:

The system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring first dynamic scanning data of a non-pilot valve, generating a mechanical performance curve according to the first dynamic scanning data, and calculating a first mechanical performance data set of the non-pilot valve according to the mechanical performance curve, wherein the first mechanical performance data set comprises: valve travel, seating pressure, and seating force;

The generation module is used for acquiring displacement signal data and driving air pressure data of the non-pilot valve according to the mechanical performance curve, generating an air pressure change curve according to the displacement signal data and the driving air pressure data, and calculating a second mechanical performance data set of the non-pilot valve according to the air pressure change curve;

The acquisition module is used for acquiring control signal data in the first dynamic scanning data, acquiring displacement difference data in the first dynamic scanning data, generating a valve scanning curve based on the control signal data and the displacement difference data, and calculating a first performance parameter of the non-pilot valve according to the valve scanning curve to obtain a first performance parameter set;

The first analysis module is used for carrying out second performance parameter analysis on the non-pilot valve based on the first dynamic scanning data and the mechanical performance curve to obtain a second performance parameter set;

And the second analysis module is used for acquiring second dynamic scanning data of the pilot valve, and carrying out pilot valve performance analysis on the pilot valve according to the second dynamic scanning data to obtain a third performance parameter set.

A third aspect of the present application provides a valve performance analysis apparatus comprising: a memory and at least one processor, the memory having instructions stored therein; the at least one processor invokes the instructions in the memory to cause the valve performance analysis apparatus to perform the valve performance analysis method described above.

A fourth aspect of the application provides a computer readable storage medium having instructions stored therein which, when run on a computer, cause the computer to perform the method of analyzing the performance of a valve as described above.

According to the technical scheme provided by the application, the comprehensive evaluation of the performance of the non-pilot valve and the pilot valve is realized by combining various data analysis means such as a mechanical performance curve, an air pressure change curve, a valve scanning curve and the like. The comprehensive evaluation mechanism can reveal the performance of the valve under different working states, provides more comprehensive and accurate performance data for users, and is helpful for better understanding the working principle and performance characteristics of the valve. Through deep analysis of the first dynamic scanning data, key mechanical performance parameters such as valve stroke, seating pressure, seating force and the like can be accurately calculated. In addition, parameters such as friction characteristics and BS values of the valve can be obtained through an air pressure change curve, friction force analysis and the like. These accurate calculations are of great significance for valve design improvement, performance optimization and fault diagnosis. The application utilizes the automatic data acquisition and analysis technology, reduces the need of manual intervention, and improves the efficiency and accuracy of the test. The automatic test flow can not only accelerate the data processing speed, but also reduce the data errors caused by human factors and ensure the objectivity and reliability of the test result. The application enables effective performance analysis, whether it is a non-pilot valve or a pilot valve, which makes it highly adaptable. Through comprehensive and accurate evaluation of valve performance, the application can provide scientific basis for valve design improvement, help designers optimize valve structure, and improve the working efficiency and service life of the valve. Meanwhile, the method also provides an important reference for a user in the valve type selection process, and is beneficial to the user to select a valve product with better performance and more meeting the working requirements.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained based on these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic diagram of an embodiment of a method for analyzing the performance of a valve according to an embodiment of the present application;

FIG. 2 is a schematic diagram of an embodiment of a valve performance analyzer according to an embodiment of the present application.

Detailed Description

The embodiment of the application provides a valve performance analysis method, device and equipment and a storage medium. The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.

For ease of understanding, a specific flow of an embodiment of the present application is described below with reference to fig. 1, and an embodiment of a method for analyzing performance of a valve in an embodiment of the present application includes:

Step S101, acquiring first dynamic scanning data of a non-pilot valve, generating a mechanical performance curve according to the first dynamic scanning data, and calculating a first mechanical performance data set of the non-pilot valve according to the mechanical performance curve, wherein the first mechanical performance data set comprises: valve travel, seating pressure, and seating force;

It is to be understood that the execution body of the present application may be a valve performance analysis device, and may also be a terminal or a server, which is not limited herein. The embodiment of the application is described by taking a server as an execution main body as an example.

Specifically, first dynamic scan data of the non-pilot valve is obtained, and a curve about the mechanical performance of the valve is generated from the dynamic scan data. A first set of mechanical property data for the non-piloted valve is calculated based on the mechanical property curve. The data set includes valve travel, seating pressure, and seating force. From these curves, the valve opening command time and the valve closing command time are extracted, and the two time points are key for analyzing the dynamic performance of the valve. Taking valve opening instruction time as an example, extracting corresponding first displacement data according to the time point; the valve closing instruction time corresponds to the extraction of the second displacement data. And collecting third displacement data of the non-pilot valve when the valve closing command is finished. Obtaining a first displacement difference value by carrying out difference value calculation on the first displacement data and the second displacement data; and calculating the difference value between the first displacement data and the third displacement data to obtain a second displacement difference value. If the first displacement difference is large, this means that the valve is longer in its opening and closing process, and this value will be used as an indicator of the valve stroke. If the second displacement difference is greater, indicating that the valve displacement is greater at the end of the valve closing command, the second displacement difference will be determined as the valve stroke. And (3) carrying out seating force analysis on the non-pilot valve through a mechanical performance curve to obtain seating pressure and seating force, wherein the two parameters are directly related to the sealing performance of the valve when the valve is closed. Finally, the seating pressure, seating force, and the determined valve travel are combined to form a first mechanical property data set.

And performing test type analysis on the mechanical performance curve to determine the current test type of the non-pilot valve. For the air-break type of test, the analysis process focuses on the acquisition of the driving air pressure at the beginning of the change in displacement and at the end of the change. By collecting the driving air pressure at these two points in time, the first and second driving air pressures are obtained, which are the basis for calculating the seating pressure. And multiplying the calculated seating pressure by the preset effective area of the diaphragm to finally obtain the seating force. This process reflects the valve's performance in the air-open state and, through calculation of the seating force, more intuitively demonstrates the sealing capability of the valve when closed. When the test type is the air-off type, the third driving air pressure when the valve is opened in place and the maximum driving air pressure in the valve opening process are collected, and the third driving air pressure is used as the fourth driving air pressure. The two driving air pressures are collected to calculate the seating pressure and thus the seating force. By such a calculation, it is ensured that the seating pressure and seating force of the non-pilot valve can be accurately evaluated, regardless of whether the air-open or air-close type test is performed.

Step S102, acquiring displacement signal data and driving air pressure data of a non-pilot valve according to a mechanical performance curve, generating an air pressure change curve according to the displacement signal data and the driving air pressure data, and calculating a second mechanical performance data set of the non-pilot valve according to the air pressure change curve;

Specifically, displacement signal data and driving air pressure data of the non-pilot valve are collected according to a mechanical performance curve, an air pressure change curve is established according to the data, wherein the displacement signal data is used as a horizontal axis, and the driving air pressure data is used as a vertical axis. And calibrating the horizontal axis data based on the valve opening range, and determining a target interval for data acquisition. The accuracy and the effectiveness of data acquisition are ensured, so that the analysis result is more reliable. And obtaining a plurality of data sampling points by analyzing the data sampling points of the target data acquisition interval. And (3) carrying out data acquisition on each data sampling point to obtain driving air pressure information when the valve is opened and closed. According to the air pressure data set on the data sampling point, calculating average air pressure data of each point, and further obtaining air pressure error data. The calculation reveals the air pressure change condition of the valve under different working conditions, and provides a basis for evaluating the performance stability of the valve. And combining the average air pressure data with the air pressure error data to obtain friction force data of each data sampling point. Based on the friction data, a comprehensive friction analysis is performed on the non-pilot valve. The method comprises the determination of key parameters such as maximum friction force, stroke corresponding to the maximum friction force of the valve rod, average friction force of the valve rod, maximum friction force position, minimum friction force and the like. Meanwhile, BS value analysis is carried out on the non-pilot valve through friction force data, so that a maximum BS value and a minimum BS value are obtained, and understanding of valve performance is enhanced. And (3) carrying out air supply pressure parameter analysis on the valve, wherein the analysis is carried out based on valve travel, and aims to evaluate air supply requirements of the valve under different working conditions. And finally integrating the information such as the maximum friction force of the non-pilot valve, the corresponding stroke of the maximum friction force of the valve rod, the average friction force of the valve rod, the position of the maximum friction force, the minimum friction force, the maximum BS value, the minimum BS value, the air supply pressure parameter set and the like into a second mechanical performance data set of the non-pilot valve through comprehensive analysis.

The friction force data is subjected to mathematical fitting through a least square method, and a target straight line capable of representing the change trend of the friction force of the valve is generated. The mathematical fitting method can smooth random errors and reveal the overall trend of valve friction. And (3) based on the obtained target straight line, performing BS value analysis on the non-pilot valve, namely calculating and comparing friction force values of each point on the straight line to obtain the maximum and minimum BS values of the valve. These two values are key parameters for evaluating valve performance, the maximum BS value reflects the friction of the valve in the most unfavorable operating conditions, while the minimum BS value represents the friction of the valve in the optimal operating conditions, which helps to evaluate the stability and reliability of the valve under different operating conditions. And analyzing the friction force data of each data sampling point to obtain a series of important parameters such as the maximum friction force of the non-pilot valve, the stroke corresponding to the maximum friction force of the valve rod, the average friction force of the valve rod, the maximum friction force position, the minimum friction force and the like. These parameters detail the frictional characteristics of the valve during operation and also provide important basis for maintenance and fault diagnosis of the valve. For example, the maximum friction and its corresponding valve stem travel may be used to determine where the valve may have too high a friction resistance, while the average valve stem friction reflects the smoothness of the overall operation of the valve.

Wherein the intermediate parameter is calculated based on the barometric pressure dataset for each data sample point. The intermediate parameters reflect the air pressure characteristics of the valve at different stroke positions, and provide a necessary basis for subsequent elastic coefficient calculation. And multiplying the intermediate parameter by the effective area of the diaphragm to obtain the target elastic coefficient. The target elastic coefficient is a key physical quantity, directly related to the air supply efficiency and response speed of the valve, and is an important index for evaluating the air supply performance of the valve. Through calculation, the air supply performance of the valve under different operation conditions is known, including the air supply pressure change condition under a specific stroke position. And based on the obtained target elastic coefficient, carrying out air supply pressure parameter analysis on the non-pilot valve to obtain an air supply pressure parameter set. The set comprises key indexes such as initial air supply pressure, minimum air supply pressure, maximum air supply pressure, air supply pressure drop rate and the like. The initial air supply pressure represents the air pressure required by the valve when the valve starts to act and is the basis for ensuring the normal starting of the valve. The minimum air supply pressure and the maximum air supply pressure reflect the minimum and maximum air pressures acceptable by the valve in the operation process, and the two parameters are directly related to the safe operation and the performance limit of the valve. The rate of decrease of the supply air pressure describes the rate of decrease of the supply air pressure of the valve during continuous use, a parameter that helps to evaluate the stability and reliability of the valve over extended periods of operation.

Step S103, acquiring control signal data in the first dynamic scanning data, acquiring displacement difference data in the first dynamic scanning data, generating a valve scanning curve based on the control signal data and the displacement difference data, and calculating first performance parameters of a non-pilot valve according to the valve scanning curve to obtain a first performance parameter set;

Specifically, control signal data is obtained from the first dynamic scan data, which reflects the opening and closing instructions received by the valve under specific test conditions. Meanwhile, displacement difference data are collected, and the data reveal the change condition of actual displacement of the valve after receiving a control signal, so that the dynamic performance of the valve can be evaluated. And combining the control signal data and the displacement difference data to construct a valve scanning curve, wherein the control signal data is taken as a horizontal axis, and the displacement difference data is taken as a vertical axis. This curve intuitively reveals the displacement response of the valve under the action of different control signals. And determining a first control signal and a second control signal by taking a value of a first coordinate axis of the valve scanning curve. The two control signals represent the start and end points of the valve during operation, respectively, and the signal control stroke, i.e. the actual movement range of the valve under the action of the control signals, is calculated based on the two points. And simultaneously, the second coordinate axis of the valve scanning curve is valued to obtain a first displacement difference and a second displacement difference. The two displacement differences further determine the variation of the displacement of the valve under the action of different control signals, and are important parameters for evaluating the dynamic response capability of the valve. Based on these displacement difference data, a target displacement value, i.e. an ideal displacement position that the valve should reach under the action of a specific control signal, is generated. And comprehensively considering the signal control stroke and the target displacement value to generate a first performance parameter set of the valve. The set of performance parameters includes dynamic response characteristics of the valve, such as response time, displacement range, etc., and can also provide performance of the valve under actual working conditions, such as displacement accuracy, stability, etc.

Step S104, based on the first dynamic scanning data and the mechanical performance curve, performing second performance parameter analysis on the non-pilot valve to obtain a second performance parameter set;

Specifically, the method specifically comprises the following steps: the method comprises the steps of identifying a displacement starting change point of a mechanical performance curve to obtain the displacement starting change point, collecting zero current and first output air pressure of the displacement starting change point, identifying a displacement ending change point of the mechanical performance curve, and collecting full current and second output air pressure of the displacement ending change point based on the displacement ending change point; performing return difference data analysis on the non-pilot valve based on the zero current, the first output air pressure, the full current and the second output air pressure to obtain a first return difference data set, wherein the first return difference data set comprises a first average dynamic return difference, a first dead zone and a first error; the first maximum dynamic return difference, the second dead zone, and the second error; the first minimum dynamic return difference, the third dead zone, and the third error; further, return difference data analysis is performed on the non-pilot valve according to the first dynamic scanning data, a second return difference data set is obtained, and the first return difference data set and the second return difference data set are used as a second performance parameter set.

Step S105, second dynamic scanning data of the pilot valve are obtained, and pilot valve performance analysis is conducted on the pilot valve according to the second dynamic scanning data, so that a third performance parameter set is obtained.

Specifically, the method specifically comprises the following steps: generating a second mechanical performance curve according to the second dynamic scanning data, and manually marking the second mechanical performance curve, wherein the manually marked position mainly comprises: the pilot valve spring rate starting point, the pilot valve spring rate ending point, the main valve spring rate starting point, the main valve spring rate ending point, the main valve seating point and the pilot valve seating point are used for carrying out pilot valve performance analysis on the pilot valve according to the second mechanical performance curve after manual marking, so that a third performance parameter set is obtained.

The dynamic scanning flow of the pilot valve in the embodiment of the application is as follows:

Presetting an AO value (AO 1) of full-close and an AO value (AO 2) of full-open, and selecting whether the AO value changes according to the speed or changes according to time;

The selection valve is a pilot valve;

determining which air pressure channel the air supply air pressure channel (Pair supply) is; determining which air pressure channel is the driving air pressure channel (pdrive); determining which air pressure channel the positioner output air pressure (EP) is;

When changing according to the rate, according to the set AO value change rate (mA/S), calculating a change time interval t1 (ms/time) and a single change value AO3 (mA/time); the specific calculation mode is as follows: the single minimum change time interval of the lower computer is 1 ms/time, and the single minimum change value of the lower computer is 0.001 mA/time; firstly, calculating by using a single minimum change time interval of a lower computer, wherein the number of times of change in 1s is 1s/1 ms=1000 times; calculating a single change value AO3 from 1000 changes to AO (mA), i.e., ao3=ao (mA)/1000 changes; if AO3 is greater than or equal to the single minimum change value of the lower computer and is 0.001 (mA/time), outputting a change time interval t1=single minimum change time interval, and outputting a single change value AO3; if AO3 is less than 0.001 (mA/time) of the single minimum change value of the lower computer, calculating with 0.001 (mA/time) of the single minimum change value of the lower computer, wherein the number of changes required for changing to AO (mA) is n (time), n=ao (mA)/0.001 (mA/time), and when the number of changes is required in 1s, calculating again, the change time interval t1=1 (s)/n (time) =1000 (ms)/n (time), outputting a change time interval t1, and the single change value AO 3=0.001 (mA/time) of the single minimum change value of the lower computer;

if the time is time-varying, calculating the time required by a single process, thereby obtaining the variation rate (mA/s); obtaining unit time t1 and AO3 according to the calculation mode;

then sending the data to lower computers AO1, AO2, t1 and AO3;

After the program output AO value reaches AO 2;

Latency T (settable);

sending the data to lower computers AO2, AO1, t1 and AO3;

When the program output AO value reaches AO 1;

Waiting time 5S;

Ending the flow.

Further, pilot valve performance analysis is largely divided into 4 partial calculations:

diagnostic procedure original curve:

1. Mechanical property curve

The main calculation results are as follows: minimum BS value, maximum BS value, valve travel, seating pressure, seating force, elastic coefficient, maximum friction force, valve stem maximum friction force corresponding travel, valve stem average friction force, maximum friction force position, minimum friction force, initial air supply pressure, maximum air supply pressure, minimum air supply pressure, air supply pressure drop rate;

the calculation process comprises the following steps:

① Taking the displacement L1 corresponding to the valve opening instruction starting sending time point, starting to send the displacement L2 corresponding to the valve closing instruction time point, and sending the displacement L3 corresponding to the valve closing instruction ending time point before the flow is ended; taking the value with larger difference value in L2-L1 and L3-L1 as the valve stroke;

② Judging whether the test is air-on or air-off; if the air-break acquisition displacement starts to change T1 and end of Change/>T2, corresponding driving air pressure; if the displacement stops changing when the valve is opened for the first time by air lock acquisition/>T3 is the maximum value of the corresponding air pressure and the driving air pressure in the valve opening and in-place process;

③ Subtracting the driving air pressures of the two points to obtain the seating pressure; the seating force is obtained by multiplying the seating pressure by the effective area of the diaphragm in the parameter configuration;

④ Taking a displacement signal fed back by a valve as an X axis, taking a driving air pressure channel (P driving) as a Y axis, drawing a dynamic scanning curve as a new chart, and binding valve opening process data and valve closing process data into one line respectively;

⑤ Taking the opening of an X-axis valve to be 6% -94%, respectively recording the valve opening driving air pressure P1 and the valve closing driving air pressure P2 corresponding to each point, and calculating average air pressure P= (P1+P2)/2; recording the obtained X data and average air pressure P into a collection; and calculates the error barometric pressure_p= (P2-P1)/2 (and finally converts barometric pressure units to kPa); multiplying the error air pressure_P by the effective area of the diaphragm in the parameter configuration to obtain the friction force corresponding to the point; recording the friction force into a collection;

⑥ Fitting the recorded average air pressure set into a straight line through a least square method;

⑦ The obtained fitted Y value set takes the difference value_P2 between the maximum value and the minimum value, and the unit is converted into Pa;

⑧ Extending it to 0% and 100%;

⑨ Taking the minimum BS value when the X axis is 0%, and taking the maximum BS value when the X axis is 100%;

⑩ Calculating to obtain maximum friction force, corresponding stroke of the maximum friction force of the valve rod, average friction force of the valve rod, position of the maximum friction force and minimum friction force through the intermediate calculated friction force set;

⑪ Calculating an intermediate value k2: k2 P2/((94-6)/100 valve strokes);

⑫ Coefficient of elasticity = k2 the effective area of the diaphragm in the parametric configuration;

⑬ After the sending valve opening signal is obtained, the displacement starts to change The corresponding air supply pressure at t1 is taken as the initial air supply pressure; taking the maximum air supply pressure in the dynamic scanning process as the maximum air supply pressure; taking the minimum value as the minimum air supply pressure; air supply pressure decrease rate= (1-minimum air supply pressure/initial air supply pressure) ×100;

2. General scan curve

The main calculation results are as follows: average dynamic return difference, dead zone, and error; maximum dynamic return difference, dead zone, and error; minimum dynamic return difference, dead zone, error; linearity; seating current; full on current;

the calculation process comprises the following steps:

① Taking AO1 transmitted in the dynamic scanning process as an abscissa, and taking the difference value between valve displacement and displacement at the beginning as an ordinate;

② Gradually taking values from the Y axis, and acquiring values AO_1 and AO_2 of the X axis corresponding to the two lines at the moment. Dividing the subtracted value of the two X values by the dynamic scanning AO stroke (AO at full-on-off) (AO at full-off) (100); adding the value to the collection;

③ Obtaining an average value, a maximum value and a minimum value from the set, wherein the maximum value, the maximum value and the minimum value are respectively used as an average dynamic return difference, a dead zone and an error; maximum dynamic return difference, dead zone, and error; minimum dynamic return difference, dead zone, error;

④ Gradually taking values from the X axis, and obtaining the values (L1+L2)/2 of the Y axes corresponding to the two lines at the moment; adding the value to the collection;

⑤ Fitting the set by a least square method to obtain a new curve; comparing the curve obtained by the least square method with the set obtained in the ④ th step to obtain a difference value of each point; value = difference/valve stroke 100; adding the value to the collection;

⑥ Acquiring the maximum value of the set obtained in the ⑤ step as linearity;

⑦ Taking the AO value of the mechanical performance curve when the valve is opened in place (displacement is not changed any more) as the full-open current; the AO value when the valve is closed (displacement no longer changes) is taken as seating current;

3. Electrical converter curve

The main calculation results are as follows: average dynamic return difference, dead zone, and error; minimum dynamic return difference, dead zone, error; maximum dynamic return difference, dead zone, and error; linearity; zero current I/P outputs air pressure; full current I/P output air pressure;

the calculation process comprises the following steps:

① Taking the change point of displacement after the valve opening signal is sent in the mechanical performance curve, wherein the I/P output at the moment is used as zero current I/P output air pressure, and the I/P output when the valve is in place (the displacement is not changed any more) is used as full current I/P output air pressure;

② Taking AO1 transmitted in the dynamic scanning process as an abscissa and an EP channel as an ordinate;

③ Gradually taking values from the Y axis, and acquiring values AO_1 and AO_2 of the X axis corresponding to the two lines at the moment. Dividing the subtracted value of the two X values by the dynamic scanning AO stroke (AO at full-on-off) (AO at full-off) (100); adding the value to the collection;

④ Obtaining an average value, a maximum value and a minimum value from the set, wherein the maximum value, the maximum value and the minimum value are respectively used as an average dynamic return difference, a dead zone and an error; maximum dynamic return difference, dead zone, and error; minimum dynamic return difference, dead zone, error;

⑤ Gradually taking values from the X axis, and obtaining the values (EP 1+ EP 2)/2 of the Y axes corresponding to the two lines at the moment; adding the value to the collection;

⑥ Fitting the set by a least square method to obtain a new curve; comparing the curve obtained by the least square method with the set obtained in the ④ th step to obtain a difference value of each point; value = difference/EP stroke 100; adding the value to the collection;

⑦ Acquiring the maximum value of the set obtained in the ⑤ step as linearity;

4. Locator curve

The main calculation results are as follows: average dynamic return difference, dead zone, and error; minimum dynamic return difference, dead zone, error; maximum dynamic return difference, dead zone, and error; linearity; seating control air pressure; fully opening control air pressure;

the calculation process comprises the following steps:

① Taking an EP channel which changes in the dynamic scanning process as an abscissa, and taking a displacement difference value between valve displacement and the displacement at the beginning as an ordinate;

② Gradually taking values from the Y axis, and acquiring values EP_1 and EP_2 of the X axis corresponding to the two lines at the moment. Dividing the subtracted value of the two X values by the dynamic scanning EP stroke (full-on EP-full-off EP) 100; adding the value to the collection;

In the mechanical performance curve, after a valve opening signal is sent, the EP at the moment of starting the change point of displacement is taken as the seating control air pressure, and after the valve is opened in place, the EP of which the displacement is not changed any more is taken as the full-opening control air pressure.

In the embodiment of the application, the comprehensive evaluation of the performance of the non-pilot valve and the pilot valve is realized by combining a plurality of data analysis means such as a mechanical performance curve, an air pressure change curve, a valve scanning curve and the like. The comprehensive evaluation mechanism can reveal the performance of the valve under different working states, provides more comprehensive and accurate performance data for users, and is helpful for better understanding the working principle and performance characteristics of the valve. Through deep analysis of the first dynamic scanning data, key mechanical performance parameters such as valve stroke, seating pressure, seating force and the like can be accurately calculated. In addition, parameters such as friction characteristics and BS values of the valve can be obtained through an air pressure change curve, friction force analysis and the like. These accurate calculations are of great significance for valve design improvement, performance optimization and fault diagnosis. The application utilizes the automatic data acquisition and analysis technology, reduces the need of manual intervention, and improves the efficiency and accuracy of the test. The automatic test flow can not only accelerate the data processing speed, but also reduce the data errors caused by human factors and ensure the objectivity and reliability of the test result. The application enables effective performance analysis, whether it is a non-pilot valve or a pilot valve, which makes it highly adaptable. Through comprehensive and accurate evaluation of valve performance, the application can provide scientific basis for valve design improvement, help designers optimize valve structure, and improve the working efficiency and service life of the valve. Meanwhile, the method also provides an important reference for a user in the valve type selection process, and is beneficial to the user to select a valve product with better performance and more meeting the working requirements.

In a specific embodiment, the process of executing step S101 may specifically include the following steps:

(1) Acquiring first dynamic scanning data, generating a mechanical performance curve according to the first dynamic scanning data, and extracting valve opening instruction time and valve closing instruction time in the first dynamic scanning data based on the mechanical performance curve;

(2) Extracting first displacement data corresponding to valve opening instruction time based on the valve opening instruction time, and extracting second displacement data corresponding to valve closing instruction time;

(3) Based on the valve closing instruction time, collecting third displacement data of the non-pilot valve when the valve closing instruction is finished;

(4) Performing difference calculation on the first displacement data and the second displacement data to obtain a first displacement difference;

(5) Performing difference calculation on the first displacement data and the third displacement data to obtain a second displacement difference value;

(6) Performing numerical comparison on the first displacement difference value and the second displacement difference value to obtain a numerical comparison result, taking the first displacement difference value as a valve stroke when the numerical comparison result is that the first displacement difference value is larger, and taking the second displacement difference value as the valve stroke when the numerical comparison result is that the second displacement difference value is larger;

(7) Analyzing the seating force of the non-pilot valve through a mechanical performance curve to obtain seating pressure and seating force;

(8) The seating pressure, seating force, and valve travel are combined into a first mechanical property data set.

Specifically, first dynamic scanning data of the non-pilot valve under a dynamic working condition is obtained. These data include the specific moments of the control signals and displacement information of the valve during opening and closing. Through the data collected preliminarily, a mechanical performance curve is constructed, and the curve can intuitively reflect the dynamic characteristics of the valve in response to the control signal, including the opening and closing speeds of the valve and the time points when the valve reaches various positions. The valve opening command time and the valve closing command time are extracted based on the mechanical performance curve, and the two time points are key to analyzing the dynamic response of the valve. Displacement data corresponding to these control signals are extracted at the two points in time when the determination is made. At the same time, third displacement data of the non-pilot valve at the end of the valve closing command is collected, and the data point represents the final position of the valve after the valve is completely closed. And calculating the difference value between the first displacement data and the second displacement data to obtain a first displacement difference value, wherein the difference value reflects the opening range of the valve before receiving the closing instruction. And calculating the difference value between the first displacement data and the third displacement data, wherein the obtained second displacement difference value represents the whole stroke from the start of opening to the complete closing of the valve. And comparing the two displacement differences in a numerical value to determine the actual stroke of the valve. If the first displacement difference is large, indicating that the valve has a large range of movement before the closing command is issued, this value will be considered as the actual stroke of the valve; conversely, if the second displacement difference is greater, this value is determined as the valve travel, indicating that the valve is displaced more when fully closed. By analyzing the mechanical performance curve, the seating force analysis is performed on the non-pilot valve. This analysis takes into account the pressure changes of the valve during closing and how these changes affect the effectiveness of the valve seal, thereby calculating the seating pressure and seating force. Seating pressure and seating force are important parameters for evaluating valve closure performance, directly related to the sealing performance and long term stability of the valve. The seating pressure, seating force, and valve travel are combined to form a first mechanical property data set. The data set comprehensively reflects the performance of the non-pilot valve under the dynamic condition, and the performance includes key performance indexes such as response speed, displacement range, sealing pressure and the like.

In one embodiment, the process of performing the seating force analysis step on the non-pilot valve may specifically include the steps of:

(1) Performing test type analysis on the mechanical performance curve to obtain the current test type of the non-pilot valve;

(2) When the current test type is an air-break type, acquiring a first driving air pressure when the displacement starts to change based on a mechanical performance curve, and acquiring a second driving air pressure when the displacement changes;

(3) The method comprises the steps of carrying out seating pressure calculation on a non-pilot valve according to first driving air pressure and second driving air pressure to obtain seating pressure, and multiplying the seating pressure by a preset effective area of a diaphragm to obtain seating force;

(4) When the test type is an air-off type, collecting third driving air pressure when the valve is opened in place based on a mechanical performance curve, and meanwhile, collecting maximum driving air pressure in the valve opening process and taking the maximum driving air pressure as fourth driving air pressure;

(5) And carrying out seating pressure calculation on the non-pilot valve according to the third driving air pressure and the fourth driving air pressure to obtain seating pressure, and multiplying the seating pressure by the preset effective area of the diaphragm to obtain seating force.

Specifically, the mechanical performance curve is subjected to test type analysis, and the current test type of the non-pilot valve is judged. The mechanical property curve records the displacement and pressure change of the valve under different working conditions, and by means of the data, whether the valve is in an air-on state or an air-off state can be clearly determined. When the test type of the valve is determined to be an air-open type, a first driving air pressure at the beginning of the displacement change is acquired based on the mechanical performance curve, and a second driving air pressure at the end of the displacement change is acquired. The first driving air pressure at the beginning of the displacement change reflects the minimum pressure required by the valve to begin responding to the opening command, and the second driving air pressure at the end of the displacement change represents the steady pressure state reached by the valve being fully opened. Based on these two pressure values, the seating pressure is obtained by a specific calculation method. The seating force is obtained by multiplying the seating pressure by the preset effective area of the diaphragm and is directly related to the force required to maintain the seal in the closed state of the valve. And if the test type is determined to be an air-tight type, acquiring the third driving air pressure when the valve is opened in place based on the mechanical performance curve, and simultaneously acquiring the maximum driving air pressure in the valve opening process and taking the maximum driving air pressure as the fourth driving air pressure. Taking into account the pressure variations of the valve during closing, in particular the maximum pressure before and after the valve is closed in place, this helps to evaluate the closing performance and sealing effect of the valve. The third driving air pressure and the fourth driving air pressure are calculated to obtain the seating pressure, and then the seating force is calculated by multiplying the effective area of the diaphragm.

In a specific embodiment, the process of executing step S102 may specifically include the following steps:

(1) Acquiring displacement signal data and driving air pressure data of a non-pilot valve according to a mechanical performance curve;

(2) Taking displacement signal data as horizontal axis data and driving air pressure data as vertical axis data, and establishing an air pressure change curve;

(3) Calibrating a data acquisition interval of the transverse axis data based on a preset valve opening range to obtain a target data acquisition interval;

(4) Analyzing the data sampling points in the target data acquisition interval to obtain a plurality of data sampling points, and respectively carrying out data acquisition on each data sampling point to obtain an air pressure data set of each data sampling point, wherein the air pressure data set of each data sampling point comprises valve opening driving air pressure and valve closing driving air pressure of each data sampling point;

(5) Calculating average air pressure data of each data sampling point based on the air pressure data set of each data sampling point, and simultaneously calculating air pressure error data of each data sampling point based on the average air pressure data of each data sampling point;

(6) Obtaining friction force data of each data sampling point based on average air pressure data of each data sampling point and air pressure error data of each data sampling point;

(7) Carrying out friction force analysis on the non-pilot valve based on friction force data of each data sampling point to obtain maximum friction force, valve rod maximum friction force corresponding stroke, valve rod average friction force, maximum friction force position and minimum friction force of the non-pilot valve, and simultaneously carrying out BS value analysis on the non-pilot valve based on friction force data of each data sampling point to obtain maximum BS value and minimum BS value of the non-pilot valve;

(8) Based on the valve stroke, carrying out air supply pressure parameter analysis on the non-pilot valve to obtain an air supply pressure parameter set;

(9) And combining the maximum friction force of the non-pilot valve, the valve rod maximum friction force corresponding stroke, the valve rod average friction force, the maximum friction force position, the minimum friction force, the maximum BS value, the minimum BS value and the air supply pressure parameter set into a second mechanical performance data set of the non-pilot valve.

Specifically, displacement signal data and driving air pressure data of the non-pilot valve are collected according to a mechanical performance curve. The relation between the displacement signal data and the driving air pressure data is shown by establishing an air pressure change curve, wherein the displacement signal data is taken as a horizontal axis, the driving air pressure data is taken as a vertical axis, and the curve can intuitively reflect the air pressure requirements and the change conditions of the valve under different opening degrees. And (3) calibrating a data acquisition interval of the displacement signal data, so as to ensure the accuracy and representativeness of data acquisition. The calibrated target data acquisition interval is determined according to a preset valve opening range, so that analysis is ensured to cover the full range of valve operation. And (3) carrying out data sampling point analysis in the determined target data acquisition interval, and identifying a plurality of specific data sampling points, wherein each data sampling point is subjected to independent data acquisition, so as to obtain an air pressure data set comprising valve opening driving air pressure and valve closing driving air pressure. The average barometric pressure data for each point is calculated by analyzing the barometric pressure dataset for each data sample point. At the same time, air pressure error data is calculated for each data sample point, which helps to evaluate the reliability of the data and consistency of valve performance. Based on these average air pressure data and air pressure error data, friction force data of each data sampling point is obtained. And carrying out comprehensive friction force analysis on the non-pilot valve based on friction force data, wherein the comprehensive friction force analysis comprises the step of calculating key performance indexes such as maximum friction force of the non-pilot valve, stroke corresponding to the maximum friction force of a valve rod, average friction force of the valve rod, maximum friction force position, minimum friction force and the like. And carrying out BS value analysis by using friction force data to further obtain a maximum BS value and a minimum BS value of the valve, wherein the analysis results are helpful for evaluating the stability and reliability of the valve. And analyzing the air supply pressure parameters by analyzing the valve stroke to obtain an air supply pressure parameter set comprising an initial air supply pressure, a minimum air supply pressure, a maximum air supply pressure and an air supply pressure drop rate. These parameter sets provide a comprehensive performance assessment for the valve's air supply system. And combining the maximum friction force of the non-pilot valve, the stroke corresponding to the maximum friction force of the valve rod, the average friction force of the valve rod, the position of the maximum friction force, the minimum friction force, the maximum BS value, the minimum BS value and the air supply pressure parameter set to form a second mechanical performance data set of the non-pilot valve.

In a specific embodiment, the process of performing the friction analysis step on the non-pilot valve based on the friction data of each data sampling point may specifically include the following steps:

(1) Fitting friction force data of each data sampling point into a target straight line through a least square method;

(2) Performing BS value analysis on the non-pilot valve based on the target straight line to obtain a maximum BS value and a minimum BS value of the non-pilot valve;

(3) And carrying out friction force analysis on the non-pilot valve based on friction force data of each data sampling point to obtain the maximum friction force of the non-pilot valve, the corresponding stroke of the maximum friction force of the valve rod, the average friction force of the valve rod, the position of the maximum friction force and the minimum friction force.

Specifically, friction force data of each data sampling point is fitted to a target straight line by a least square method. The least squares method is an optimization technique that finds the best functional match of the data by minimizing the sum of squares of the errors. In this process, each friction data point is regarded as an observation value, and a straight line is found by the least square method, and the straight line can represent the friction change trend of all the data points in a statistical sense. The target straight line not only intuitively shows the general trend of valve friction force along with displacement, but also provides a basis for further BS value analysis. BS value, called coefficient of friction, is an important parameter describing the friction characteristics during valve movement. Through analysis of the target straight line, a maximum BS value and a minimum BS value of the non-pilot valve under different operation conditions are calculated, and the maximum BS value and the minimum BS value represent the maximum and minimum performance of the valve friction force respectively. Friction analysis is performed based on the friction data for each data sample point. The method comprises the steps of calculating a plurality of key parameters such as maximum friction force of a non-pilot valve, corresponding stroke of the maximum friction force of a valve rod, average friction force of the valve rod, maximum friction force position, minimum friction force and the like. The maximum and minimum friction directly reflect the maximum and minimum resistance that the valve may encounter during opening and closing, which is of paramount importance in designing the valve's drive system and predicting the valve's operational life. The maximum friction force of the valve rod corresponds to the stroke and the maximum friction force position, so that the specific position where the friction force can be peaked during the operation process of the valve is provided, and the valve has guiding significance in diagnosing potential friction problems of the valve and carrying out maintenance. The average friction force of the valve rod reflects the average friction performance of the valve in the whole operation process, and is a comprehensive index for evaluating the whole friction performance of the valve.

In a specific embodiment, the process of performing the step of analyzing the air supply pressure parameter of the non-pilot valve may specifically include the steps of:

(1) Calculating an intermediate parameter based on the air pressure data set of each data sampling point to obtain the intermediate parameter;

(2) Multiplying the intermediate parameter by the effective area of the diaphragm to obtain a target elastic coefficient;

(3) Based on the target elastic coefficient, carrying out air supply pressure parameter analysis on the non-pilot valve to obtain an air supply pressure parameter set, wherein the air supply pressure parameter set comprises: initial air supply pressure, minimum air supply pressure, maximum air supply pressure, and air supply pressure drop rate.

Specifically, the middle parameters are calculated based on the air pressure data set of each data sampling point, and the air pressure change characteristics of the valve under different opening degrees and different working conditions are revealed. The process of calculating the intermediate parameter needs to consider various factors including the opening degree of the valve, the air pressure change rate, the air pressure stability and the like. And multiplying the intermediate parameter by the effective area of the diaphragm of the valve to obtain the target elastic coefficient. The target elastic coefficient is directly related to the air supply efficiency and response speed of the valve. The effective area of the diaphragm is a fundamental parameter in the design of a valve and determines the power that the valve can produce at different pressures. And carrying out air supply pressure parameter analysis on the non-pilot valve based on the target elastic coefficient. The analysis includes several key parameters including initial air supply pressure, minimum air supply pressure, maximum air supply pressure, and air supply pressure drop rate. The initial supply pressure refers to the minimum pressure required for the valve to begin to operate. The minimum air supply pressure and the maximum air supply pressure respectively represent the acceptable pressure range of the valve in the normal working process, and the two parameters directly affect the safety and stability of the valve. The rate of drop of the supply air pressure is a parameter describing the rate of drop of the supply air pressure of the valve during continuous operation, which parameter helps to evaluate the long-term stability and reliability of the valve.

In a specific embodiment, the process of executing step S103 may specifically include the following steps:

(1) Acquiring control signal data in the first dynamic scanning data, and simultaneously acquiring displacement difference data in the first dynamic scanning data;

(2) Constructing a valve scanning curve by taking control signal data as a horizontal axis and displacement difference data as a vertical axis;

(3) The method comprises the steps of taking a value of a first coordinate axis of a valve scanning curve to obtain a first control signal and a second control signal, and generating a signal control stroke according to the first control signal and the second control signal;

(4) The second coordinate axis of the valve scanning curve is valued to obtain a first displacement difference and a second displacement difference, and a target displacement value is generated according to the first displacement difference and the second displacement difference;

(5) And generating a first performance parameter set according to the signal control stroke and the target displacement value.

Specifically, first dynamic scanning data of the non-pilot valve under a dynamic working condition is obtained. These data include control signal data and displacement difference data. The control signal data reflects the specific moment of the opening or closing command received by the valve, and the displacement difference data records the actual displacement change of the valve after receiving the control signals. And constructing a valve scanning curve by taking the control signal data as a horizontal axis and the displacement difference data as a vertical axis. This curve can intuitively demonstrate the response characteristics of the valve to the control signal, including the speed and range of the valve from receiving the signal to completing the corresponding action. And (3) taking a value of a first coordinate axis of the valve scanning curve, and determining a first control signal and a second control signal. The two control signals represent the starting action and the finishing time point of the valve respectively, and the signal control stroke is calculated based on the two time points, namely the displacement change of the valve in the process of responding to a complete switching signal. And simultaneously, the second coordinate axis of the valve scanning curve is valued to obtain a first displacement difference and a second displacement difference. The displacement difference data provides quantized information of displacement change of the valve after receiving the control signal, and a target displacement value of the valve under the action of the specific control signal is obtained by analyzing the displacement difference data. And generating a first performance parameter set according to the signal control stroke and the target displacement value. The performance parameter set comprises key performance indexes such as response time, displacement range, displacement speed and the like of the valve under a specific control signal, and comprehensive data support is provided for performance evaluation of the valve.

The method for analyzing the performance of the valve in the embodiment of the present application is described above, and the device for analyzing the performance of the valve in the embodiment of the present application is described below, referring to fig. 2, one embodiment of the device for analyzing the performance of the valve in the embodiment of the present application includes:

An obtaining module 201, configured to obtain first dynamic scan data of a non-pilot valve, generate a mechanical performance curve according to the first dynamic scan data, and calculate a first mechanical performance data set of the non-pilot valve according to the mechanical performance curve, where the first mechanical performance data set includes: valve travel, seating pressure, and seating force;

The generating module 202 is configured to collect displacement signal data and driving air pressure data of the non-pilot valve according to the mechanical performance curve, generate an air pressure change curve according to the displacement signal data and the driving air pressure data, and calculate a second mechanical performance data set of the non-pilot valve according to the air pressure change curve;

The acquisition module 203 is configured to acquire control signal data in the first dynamic scan data, acquire displacement difference data in the first dynamic scan data, generate a valve scan curve based on the control signal data and the displacement difference data, and perform first performance parameter calculation on the non-pilot valve according to the valve scan curve to obtain a first performance parameter set;

a first analysis module 204, configured to perform a second performance parameter analysis on the non-pilot valve based on the first dynamic scan data and the mechanical performance curve, to obtain a second performance parameter set;

and the second analysis module 205 is configured to obtain second dynamic scan data of the pilot valve, and perform pilot valve performance analysis on the pilot valve according to the second dynamic scan data, so as to obtain a third performance parameter set.

Through the cooperative cooperation of the components, the application realizes the comprehensive evaluation of the performance of the non-pilot valve and the pilot valve by combining a plurality of data analysis means such as a mechanical performance curve, an air pressure change curve, a valve scanning curve and the like. The comprehensive evaluation mechanism can reveal the performance of the valve under different working states, provides more comprehensive and accurate performance data for users, and is helpful for better understanding the working principle and performance characteristics of the valve. Through deep analysis of the first dynamic scanning data, key mechanical performance parameters such as valve stroke, seating pressure, seating force and the like can be accurately calculated. In addition, parameters such as friction characteristics and BS values of the valve can be obtained through an air pressure change curve, friction force analysis and the like. These accurate calculations are of great significance for valve design improvement, performance optimization and fault diagnosis. The application utilizes the automatic data acquisition and analysis technology, reduces the need of manual intervention, and improves the efficiency and accuracy of the test. The automatic test flow can not only accelerate the data processing speed, but also reduce the data errors caused by human factors and ensure the objectivity and reliability of the test result. The application enables effective performance analysis, whether it is a non-pilot valve or a pilot valve, which makes it highly adaptable. Through comprehensive and accurate evaluation of valve performance, the application can provide scientific basis for valve design improvement, help designers optimize valve structure, and improve the working efficiency and service life of the valve. Meanwhile, the method also provides an important reference for a user in the valve type selection process, and is beneficial to the user to select a valve product with better performance and more meeting the working requirements.

The application also provides a valve performance analysis device, which comprises a memory and a processor, wherein the memory stores computer readable instructions, and the computer readable instructions, when executed by the processor, cause the processor to execute the steps of the valve performance analysis method in the embodiments.

The present application also provides a computer readable storage medium, which may be a non-volatile computer readable storage medium, or a volatile computer readable storage medium, having stored therein instructions that, when executed on a computer, cause the computer to perform the steps of a method of performance analysis of the valve.

It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, systems and units may refer to the corresponding processes in the foregoing method embodiments, which are not repeated herein.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random acceS memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method of analyzing the performance of a valve, the method comprising:

Acquiring first dynamic scanning data of a non-pilot valve, generating a mechanical performance curve according to the first dynamic scanning data, and calculating a first mechanical performance data set of the non-pilot valve according to the mechanical performance curve, wherein the first mechanical performance data set comprises: valve travel, seating pressure, and seating force;

2. The method of claim 1, wherein the acquiring the first dynamic scan data of the non-piloted valve, generating a mechanical performance curve from the first dynamic scan data, and calculating the first mechanical performance dataset of the non-piloted valve from the mechanical performance curve, comprises:

3. The method of analyzing the performance of the valve according to claim 2, wherein the analyzing the seating force of the non-pilot valve by the mechanical performance curve to obtain the seating pressure and the seating force includes:

4. A method of analyzing the performance of a valve according to claim 3, wherein the acquiring displacement signal data and driving air pressure data of the non-pilot valve according to the mechanical performance curve, generating an air pressure variation curve according to the displacement signal data and the driving air pressure data, and calculating a second mechanical performance data set of the non-pilot valve according to the air pressure variation curve includes:

5. The method for analyzing the performance of a valve according to claim 4, wherein the analyzing the friction force of the non-pilot valve based on the friction force data of each data sampling point to obtain the maximum friction force, the corresponding stroke of the maximum friction force of the valve rod, the average friction force of the valve rod, the maximum friction force position and the minimum friction force of the non-pilot valve, and simultaneously analyzing the BS value of the non-pilot valve based on the friction force data of each data sampling point to obtain the maximum BS value and the minimum BS value of the non-pilot valve, comprises:

6. The method of claim 5, wherein the analyzing the air supply pressure parameter of the non-pilot valve based on the valve stroke to obtain the air supply pressure parameter set comprises:

7. The method for analyzing the performance of a valve according to claim 1, wherein the acquiring the control signal data in the first dynamic scan data, and simultaneously acquiring the displacement difference data in the first dynamic scan data, generating a valve scan curve based on the control signal data and the displacement difference data, and performing a first performance parameter calculation on the non-pilot valve according to the valve scan curve to obtain a first performance parameter set includes:

8. A valve performance analysis device, the valve performance analysis device comprising:

9. A performance analysis apparatus of a valve, the performance analysis apparatus of the valve comprising: a memory and at least one processor, the memory having instructions stored therein;

The at least one processor invokes the instructions in the memory to cause the valve performance analysis apparatus to perform the valve performance analysis method of any one of claims 1-7.

10. A computer readable storage medium having instructions stored thereon, which when executed by a processor, implement a method of analyzing the performance of a valve according to any of claims 1-7.