A quantitative simulation method for gate valve failure

Abstract

The present application relates to the technical field of fault analysis. A gate valve fault quantitative simulation method is provided, comprising the steps of: presetting a fault degree threshold in a valve control system according to a fault simulation target; machining a fault part matched with the gate valve according to the fault simulation target, and installing the fault part at a corresponding position of the gate valve; controlling the gate valve to simulate a fault working state through the valve control system, and collecting corresponding power data information of the gate valve; calculating an actual fault degree according to the collected power data information, fitting the actual fault degree with the preset fault degree threshold, obtaining a fault deviation, and displaying a fault simulation result on a man-machine interactive interface; and correcting the fault degree of the fault part according to the fault simulation result. The present application solves the problem that the traditional fault simulation method is difficult to accurately reflect the actual working state of the gate valve under different fault degrees.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of fault analysis, in particular to a gate valve fault quantitative simulation method. BACKGROUND

[0002] In the research, testing and maintenance process of gate valves, accurately simulating and evaluating their fault states is crucial for improving product quality, optimizing design and ensuring safe operation. However, traditional gate valve fault simulation methods often rely on experience or qualitative analysis, lacking accuracy and repeatability. In addition, these methods usually require field testing in real environments, which not only consumes time and effort, but also may cause unnecessary damage to equipment and environment. With the continuous development of industrial technology, higher requirements are put forward for the accuracy and efficiency of gate valve fault simulation.

[0003] Traditional simulation methods often fail to accurately reflect the actual working state of the gate valve under different fault degrees, especially under complex and variable working conditions. Therefore, there is an urgent need for a method that can quantitatively simulate the fault state of the gate valve to achieve accurate control and evaluation of the fault degree. SUMMARY

[0004] The purpose of the present application is to provide a gate valve fault quantitative simulation method, aiming to solve the problem that traditional fault simulation methods cannot accurately reflect the actual working state of the gate valve under different fault degrees.

[0005] The present application is achieved by the following technical solutions:

[0006] A gate valve fault quantitative simulation method, comprising the steps of:

[0007] According to the fault simulation target, preset the fault degree threshold in the valve control system;

[0008] According to the fault simulation target, process the fault piece adapted to the gate valve, and install the fault piece at the corresponding position of the gate valve;

[0009] Control the gate valve to simulate the fault working state through the valve control system, and collect the corresponding power data information of the gate valve;

[0010] According to the collected power data information, calculate the actual fault degree, fit the actual fault degree with the preset fault degree threshold, obtain the fault deviation, and display the fault simulation result on the man-machine interaction interface;

[0011] According to the fault simulation result, correct the fault degree of the fault piece.

[0012] Optionally, the specific process of presetting the fault degree threshold in the valve control system according to the fault simulation requirement is:

[0013] Through theoretical analysis and experimental testing, the energy consumption W of the gate valve during normal operation is determined. v and maximum energy consumption W d According to the fault simulation target, a fault degree threshold S is preset in the valve control system. The expression of the fault degree threshold S is shown in the following formula (1):

[0014]

[0015] Among them, W f Indicates the energy consumption when a gate valve failure occurs, corresponding to the fault severity threshold S.

[0016] Optionally, the faulty part is processed according to the fault type of the fault simulation, and the fault types include: bearing wear, bearing sticking, gate sticking, screw wear, screw rust, position indicator failure and internal leakage.

[0017] Optionally, the specific process of controlling the gate valve to simulate a faulty working state through the valve control system and collecting power data information corresponding to the gate valve is as follows:

[0018] The valve control system receives the fault severity threshold and adjusts the gate valve control strategy according to the fault severity threshold; starts the gate valve and enters a simulated fault working state, and uses the built-in power acquisition module to monitor and record the power data information during the gate valve operation in real time.

[0019] Optionally, the power data information includes instantaneous power values ​​of the gate valve at several discrete time points and an average power value during the entire simulated fault working cycle.

[0020] Optionally, the specific process of calculating the actual fault degree based on the collected power data information, fitting the actual fault degree with a preset fault degree threshold, and obtaining the fault deviation is as follows:

[0021] According to the collected power data information, the actual energy consumption W of the gate valve under the simulated fault working state is calculated. t , the calculation formula is shown in the following formula (2):

[0022] W t =∫0 T P t dt (2)

[0023] Among them, P t It represents the instantaneous power value of the gate valve during the simulated fault operation, and T is the simulated fault operation cycle;

[0024] The actual energy consumption W of the gate valve under the simulated fault working state t , Energy consumption during normal operation of the gate valve W v and maximum energy consumption W dThe actual fault degree S is calculated according to the following formula (3) t The formula (3) is as follows:

[0025]

[0026] The calculated actual fault degree is fitted with the preset fault degree threshold value, and a fault deviation e is calculated, as shown in the following formula (4):

[0027]

[0028] Wherein, e represents the fault deviation.

[0029] Optionally, the specific process of displaying the fault simulation result on the human-computer interaction interface comprises:

[0030] The valve control system comprehensively analyzes the calculated actual fault degree S t , the fault deviation e and the preset fault degree threshold value S, and displays the analysis result in a graphical or numerical form on the human-computer interaction interface; the human-computer interaction interface also provides a detailed record of the fault simulation process, including the machining information of the fault part, the time of the fault simulation and the change of the key parameters in the simulation process.

[0031] Optionally, the specific process of correcting the fault degree of the fault part according to the fault simulation result comprises:

[0032] According to the positive and negative of the fault deviation, it is judged whether the fault degree meets the fault simulation target;

[0033] According to the judgment result, the fault part adjustment strategy is formulated in combination with the corresponding power data information in the fault simulation process;

[0034] The fault part is adjusted based on the fault part adjustment strategy;

[0035] The adjusted fault part is reinstalled on the gate valve, and the fault simulation is performed again until the fault deviation meets the accuracy value corresponding to the preset fault degree threshold value.

[0036] Optionally, in the fault simulation process, the working state parameters of the gate valve are monitored and recorded in real time, including pressure parameters, temperature parameters, flow parameters and vibration parameters, the pressure parameters, the temperature parameters, the flow parameters and the vibration parameters are associated and analyzed with the power data information, the performance change of the gate valve in the fault state is comprehensively evaluated, and the preset fault degree threshold value is optimized according to the comprehensive evaluation result.

[0037] Optionally,

[0038] A fault simulation database is established to store the fault part type, preset fault degree threshold, actual fault degree, fault deviation, corrected fault part parameter and associated analysis working state parameter of each fault simulation;

[0039] The data in the fault simulation database is trained by a machine learning algorithm to build a fault prediction model;

[0040] The actual fault degree and fault deviation under the preset fault degree threshold are predicted by the fault prediction model;

[0041] The processing, installation and correction process of the fault part are guided according to the prediction results, and the fault simulation database and the fault prediction model are continuously updated and optimized according to the updated fault simulation data.

[0042] The technical scheme of the present application has at least the following advantages and beneficial effects:

[0043] The accuracy of fault simulation is improved: by setting the fault degree threshold and collecting the power data information of the gate valve during simulation, the actual fault degree can be accurately calculated and compared with the preset threshold, so that the accurate fault deviation is obtained, which greatly improves the accuracy and reliability of fault simulation compared with traditional qualitative analysis or experience judgment.

[0044] Optimize the design and adjustment of the fault part: according to the fault simulation results, the actual performance of the fault part in the gate valve can be intuitively understood, and the fault degree of the fault part can be corrected, which helps to quickly iterate and optimize the design of the fault part, so that it is more close to the actual fault condition, and improves the effectiveness of simulation experiment.

[0045] Enhance the ability of fault diagnosis and prevention: by simulating the working state of the gate valve under different fault degrees, a more perfect fault diagnosis database can be established; when the actual gate valve fails, the simulation data can be quickly compared to quickly locate the fault type and degree, providing strong support for timely maintenance measures; at the same time, the simulation process is also helpful to find potential fault hidden dangers and take preventive measures in advance to reduce the probability of failure.

[0046] Improve the efficiency of research and development and reduce the cost: through the quantitative fault simulation method of the gate valve, the fault test can be efficiently carried out in the laboratory environment, which greatly shortens the research and development cycle, reduces the test cost, and improves the safety and controllability of the test.

[0047] Promote the development of intelligence and automation: combined with the valve control system and the man-machine interface, the automation control and data visualization display of the fault simulation process are realized, which provides a basis for the intelligent management of the gate valve fault simulation and helps to promote the intelligent and automated level of the related industry. BRIEF DESCRIPTION OF DRAWINGS

[0048] Figure 1 Flow chart of the gate valve fault quantitative simulation method of the embodiment 1 of the present application;

[0049] Figure 2 Flow chart of the gate valve fault quantitative simulation method of the embodiment 1 of the present application; DETAILED DESCRIPTION

[0050] In order to make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. The components of the embodiments of the present application described and shown in the drawings herein can be arranged and designed in various different configurations.

[0051] Embodiment 1

[0052] Reference Figure 1 A gate valve fault quantitative simulation method, comprising the steps of:

[0053] Step 1: presetting a fault degree threshold in a valve control system according to a fault simulation target.

[0054] In this embodiment, the specific process of presetting a fault degree threshold in a valve control system according to a fault simulation requirement is as follows:

[0055] Through theoretical analysis and experimental test, the energy consumption W v and the maximum energy consumption W d of the gate valve in normal operation are determined; a fault degree threshold S is preset in the valve control system according to the fault simulation target, and the expression of the fault degree threshold S is shown in the following formula (1):

[0056]

[0057] Wherein, W f represents the energy consumption of the gate valve when the fault degree threshold S corresponds to a fault; when the gate valve fails, the energy consumed by its operation will also change accordingly, and the change characteristics are different for different fault positions and different fault degrees. Therefore, the degree of the gate valve fault can be quantitatively judged based on the characteristic change of the energy consumption of the gate valve.

[0058] The expressions of W f , W v and W d are shown in the following formula (1-1), formula (1-2) and formula (1-3):

[0059] W f =∫0 T Pf dt (1-1)

[0060] W v =∫0 T P v dt (1-2)

[0061] W d =∫0 T P d dt (1-3)

[0062] wherein P v represents the reference power when the gate valve is in normal operation, P d represents the maximum output power allowed by the gate valve, P f represents the average power when the gate valve is in failure, and P f The constraint condition of P

[0063] P v ≤P f ≤P d (1-4)

[0064] W f The constraint condition of W

[0065] W v ≤W f ≤W d (1-5)

[0066] Step two, according to the failure simulation target, process the failure part matched with the gate valve, and install the failure part at the corresponding position of the gate valve.

[0067] In this embodiment, the failure part is processed according to the type of failure simulation, and the failure types include bearing wear, bearing jam, gate jam, screw wear, screw corrosion, position indicator failure and internal leakage. Generally, after the gate valve fails, the energy consumed by the gate valve will increase, but when the gate valve is not tightly closed, the energy consumed by the gate valve will decrease, because the valve operating stroke is shortened. Table 1 below shows the energy consumption under different failure types.

[0068] Table 1: Power consumption change under different failure types

[0069]

[0070]

[0071] In this embodiment, a detailed analysis and design is performed for each fault type to determine the specific manifestations and impacts of the fault, as well as how to simulate these faults by processing the faulty parts. Based on the analysis and design results of the fault type, appropriate materials and processes are selected to process the faulty parts. For faults such as bearing wear and screw wear, the faults can be simulated by changing the surface roughness, size, or shape of the bearing or screw. For faults such as bearing jamming and gate jamming, the faults can be simulated by adding impurities to the bearing or gate, changing the gap, or increasing the friction. For position indicator faults, the faults can be simulated by changing the indicator's indication accuracy, response speed, or connection method. For internal leakage faults, the faults can be simulated by changing the sealing performance of the gate valve sealing surface, adding leakage channels, or adjusting the sealing pressure. After the faulty parts are processed, they are installed at the corresponding position of the gate valve. During the installation process, it is necessary to ensure that the faulty parts are correctly matched and connected with other components of the gate valve to avoid introducing additional faults or errors. At the same time, the installed gate valve needs to be inspected and tested as necessary to ensure that the faulty parts can correctly simulate the required fault type. After the faulty part is installed, the gate valve is controlled by the valve control system to simulate the faulty working state, and the power data information corresponding to the gate valve is collected; based on the collected power data information, the actual fault degree is calculated and compared with the preset fault degree threshold; if there is a large deviation between the actual fault degree and the preset fault degree threshold, the faulty part needs to be adjusted according to the deviation, and re-verified and tested until the requirements of the fault simulation target are met.

[0072] Step 3: Control the gate valve to simulate a faulty working state through the valve control system, and collect power data information corresponding to the gate valve.

[0073] In this embodiment, the specific process of controlling the gate valve to simulate a faulty working state through the valve control system and collecting the power data information corresponding to the gate valve is as follows:

[0074] The valve control system receives the fault severity threshold and adjusts the gate valve control strategy according to the fault severity threshold; starts the gate valve and enters a simulated fault working state, and uses the built-in power acquisition module to monitor and record the power data information during the gate valve operation in real time.

[0075] In this embodiment, the power acquisition module can select high-precision and wide-range power sensors such as current transformers (CT) and voltage transformers (PT), or integrated power measurement modules. Install the sensor at the power input end of the gate valve or the key position of the motor drive circuit to accurately measure the current and voltage during the operation of the gate valve. Select a microcontroller (MCU) with a high-speed analog-to-digital converter (ADC) to convert the analog signals output by the sensor into digital signals; configure sufficient flash memory or external memory to store the collected power data; provide RS-485, CAN, Ethernet, etc. Communication interface for data transmission with the valve control system. Design a reliable power supply circuit to ensure that the power acquisition module can work stably under various working conditions; consider low-power design to prolong the service life of the module. Write an efficient ADC sampling program to ensure that the current and voltage data during the operation of the gate valve can be collected in real time and accurately. Filter the collected data to reduce noise interference. According to the collected current and voltage data, the instantaneous power of the gate valve is calculated in real time; integrate the instantaneous power to obtain the actual energy consumption of the gate valve during the simulated fault working period. If the power acquisition module needs to display power data independently, a simple LCD or OLED display screen can be designed, and a button or touch input can be provided so that users can view historical data or make configurations. Install the power acquisition module in a position that is easy to monitor and does not affect the normal operation of the gate valve, and ensure that the connection between the sensor and the power supply, MCU, etc. Key components are reliable. Test the function of the power acquisition module to ensure that it can correctly collect and calculate power data, and perform joint debugging with the valve control system to ensure normal data transmission. Regularly check the working status of the power acquisition module to ensure that it is in good working condition; check the wear and tear of the sensor and the connecting cable, and replace the damaged parts in time.

[0076] In this embodiment, the power data information includes the instantaneous power values of the gate valve at several discrete time points and the average power value during the entire simulated fault working period.

[0077] Step four, according to the collected power data information, calculate the actual fault degree, fit the actual fault degree with the preset fault degree threshold value, get the fault deviation, and display the fault simulation result on the man-machine interaction interface.

[0078] In this embodiment, according to the collected power data information, calculate the actual fault degree, fit the actual fault degree with the preset fault degree threshold value, get the fault deviation, and display the fault simulation result on the man-machine interaction interface.

[0079] According to the collected power data information, calculate the actual energy consumption W of the gate valve under the simulated fault working state t , the calculation formula is shown in the following formula (2):

[0080] Wt =∫0 T P t dt (2)

[0081] wherein, P t represents the instantaneous power value of the gate valve in the process of simulating the fault operation, and T is the simulation fault operation cycle;

[0082] The actual energy consumption W t of the gate valve in the simulation fault operation state, the energy consumption W v of the gate valve in the normal operation, and the maximum energy consumption W d are used to calculate the actual fault degree S t according to the following formula (3), and the formula (3) is as follows:

[0083]

[0084] The calculated actual fault degree is fitted with the preset fault degree threshold value, and the fault deviation e is calculated, as shown in the following formula (4):

[0085]

[0086] wherein, e represents the fault deviation. Each type of gate valve fault can be simulated by a single or multiple fault components, and the fault degree of each fault component is designed and processed according to the formula (1).

[0087] In the embodiment, the specific process of displaying the fault simulation result on the man-machine interaction interface is as follows:

[0088] The valve control system comprehensively analyzes the calculated actual fault degree S t , the fault deviation e, and the preset fault degree threshold value S, and displays the analysis result in the form of graphics or numerical value on the man-machine interaction interface; the man-machine interaction interface also provides detailed records of the fault simulation process, including the processing information of the fault component, the time of the fault simulation, and the changes of the key parameters in the simulation process.

[0089] Step five, according to the fault simulation result, the fault degree of the fault component is corrected.

[0090] In the embodiment, the specific process of correcting the fault degree of the fault component according to the fault simulation result is as follows:

[0091] According to the positive and negative of the fault deviation, it is judged whether the fault degree meets the fault simulation target; the actual fault degree S t , the fault deviation e, and the preset fault degree threshold value S can be obtained from the man-machine interaction interface, the positive and negative of the fault deviation e is judged, and it is determined whether the fault simulation is excessive or insufficient.

[0092] According to the judgment results, combined with the corresponding power data information during the fault simulation process, the fault adjustment strategy is formulated; if the fault deviation e is positive, the actual fault degree S t If the fault deviation e is higher than the preset fault severity threshold S, consider reducing the fault severity of the faulty component, such as by reducing the wear degree, adjusting the jamming force, etc. If the fault deviation e is negative, the actual fault severity S t If the fault level is lower than the preset fault level threshold S, consider increasing the fault level of the faulty component, such as by increasing the degree of wear or the force of the jam.

[0093] Based on the fault part adjustment strategy, the faulty part is adjusted; such as reprocessing, modifying dimensions, adjusting material properties, etc. The adjusted faulty part needs to undergo quality inspection to ensure that it meets the new fault level requirements.

[0094] Reinstall the adjusted faulty part to the gate valve, restart the gate valve through the valve control system, simulate the faulty working state, collect new power data information, and simulate the fault again. Based on the new power data information, calculate the new actual fault degree S t ′, the new actual fault level S t ′ is compared with the preset fault level threshold S and the new fault deviation e is calculated. ′ , if the new fault deviation e ′ If the preset accuracy value is still not met, then according to e ′ The positive and negative and size of the fault component are adjusted continuously until the fault deviation meets the accuracy value corresponding to the preset fault degree threshold.

[0095] Example 2

[0096] Based on Example 1, in this embodiment, during the fault simulation process, the working status parameters of the gate valve, including pressure parameters, temperature parameters, flow parameters and vibration parameters, are monitored and recorded in real time, and the pressure parameters, temperature parameters, flow parameters and vibration parameters are correlated with the power data information for analysis, and the changing trends of these parameters under the fault state and the relationship between them and the degree of fault are analyzed; through data analysis, the performance changes of the gate valve under the fault state are comprehensively evaluated, and based on the comprehensive evaluation results, the preset fault degree threshold is optimized so that the preset fault degree threshold more accurately reflects the actual fault state of the gate valve.

[0097] In this embodiment, during the fault simulation process, the working pressure, temperature, flow rate, and vibration of the gate valve are monitored and recorded in real time, as well as the corresponding power data information. The collected data is cleaned to remove outliers, missing values, or duplicate data, ensuring the accuracy and integrity of the data. Different types of parameters are standardized to have the same dimension and range, facilitating subsequent data analysis and comparison. The correlation between pressure, temperature, flow rate, vibration, and power data is analyzed through statistical analysis methods (such as correlation coefficient, covariance, etc.) or machine learning algorithms (such as decision tree, random forest, etc.). The changing trend of these parameters in the fault state and their correlation with the fault degree are identified by drawing trend charts or using time series analysis methods. Based on the results of correlation analysis and trend identification, the performance changes of the gate valve in the fault state are comprehensively evaluated, including energy consumption, pressure stability, temperature distribution, flow control ability, and vibration characteristics. Combined with the actual fault degree and the preset fault degree threshold, the specific impact of the fault degree on the performance of the gate valve is analyzed, including the degree, range, and duration of the impact. According to the results of performance evaluation and fault degree analysis, strategies for optimizing the preset fault degree threshold are developed, including adjusting the threshold range, setting specific thresholds for different fault types, or introducing dynamic thresholds. Based on the optimization strategy, the preset fault degree threshold is adjusted to more accurately reflect the actual fault state of the gate valve. New fault simulation experiments are conducted under the adjusted preset fault degree threshold to verify whether the adjusted threshold can effectively reflect the actual fault state of the gate valve, and further adjustments are made to the threshold based on the verification results.

[0098] In this embodiment, by installing pressure sensors, the pressure changes of the gate valve during operation are monitored in real time. By installing temperature sensors, the temperature changes of the gate valve and the surrounding environment are recorded. By installing flow sensors, the fluid flow rate of the gate valve during operation is monitored. By installing vibration sensors, the vibration of the gate valve during opening and closing is recorded.

[0099] In this embodiment, a fault simulation database is established to store the fault type, preset fault degree threshold, actual fault degree, fault deviation, corrected fault parameter, and working state parameter of the correlation analysis for each fault simulation.

[0100] The data in the fault simulation database is trained by machine learning algorithms to build a fault prediction model. Machine learning algorithms can use support vector machines, neural networks, etc.

[0101] The actual fault degree and fault deviation under the preset fault degree threshold are predicted by the fault prediction model.

[0102] According to the prediction result, the machining, installation and correction process of the faulty part is guided; according to the prediction result, the fault degree of the faulty part is adjusted to reduce the deviation between the actual fault degree and the preset fault degree threshold; after the faulty part is corrected, the fault simulation is re-performed, and the related data in the fault simulation database is updated.

[0103] According to the updated fault simulation data, the fault simulation database and the fault prediction model are continuously updated and optimized, the model is periodically verified and tested, and the accuracy and reliability of the fault prediction model are improved.

[0104] The above is only a preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method of quantitative simulation of gate valve failure, characterized in that, The method comprises the steps of: presetting a fault degree threshold in a valve control system according to a fault simulation target; The specific process of presetting a fault degree threshold in a valve control system according to a fault simulation target is: Through theoretical analysis and experimental test, the energy consumption of the gate valve in normal operation is determined and the maximum energy consumption ; according to the fault simulation target, a fault degree threshold is preset in the valve control system , and the expression of the fault degree threshold is shown in the following formula (1) ​ wherein, represents a failure degree threshold value corresponding to the energy consumption of the gate valve when it fails. According to the fault type of the fault simulation target, a fault piece suitable for the gate valve is processed and installed at the corresponding position of the gate valve; The gate valve is controlled to simulate a fault working state by the valve control system, and power data information corresponding to the gate valve is collected; According to the collected power data information, the actual fault degree is calculated, the actual fault degree is fitted with the preset fault degree threshold, the fault deviation is obtained, and the fault simulation result is displayed on a man-machine interaction interface; The specific process of calculating the actual fault degree according to the collected power data information, fitting the actual fault degree with the preset fault degree threshold, and obtaining the fault deviation is: According to the collected power data information, the actual energy consumption of the gate valve in the simulated fault working state is calculated The calculation formula is shown in the following formula (2): wherein, Pinstrepresents the instantaneous power value of the gate valve during the simulated failure operation, is the simulated failure operation period. Actual energy consumption of a gate valve in a simulated fault operating condition , energy consumption of the gate valve in normal operation , and maximum energy consumption The actual degree of fault is calculated according to the following equation (3) Equation (3) is shown below: The calculated actual failure degree is fitted with a preset failure degree threshold to calculate a failure deviation As shown in the following formula (4): wherein, represents a fault deviation, represents a fault degree threshold value; According to the fault simulation result, the fault degree of the fault piece is corrected.

2. The gate valve failure quantification simulation method of claim 1, wherein, The fault piece is processed according to the fault type of the fault simulation, and the fault type includes bearing wear, bearing jam, gate jam, screw wear, screw corrosion, position indicator fault and internal leakage.

3. The gate valve failure quantification simulation method of claim 1, wherein, The specific process of controlling the gate valve to simulate a fault working state by the valve control system and collecting power data information corresponding to the gate valve is: The valve control system receives the fault degree threshold and adjusts the control strategy of the gate valve according to the fault degree threshold; the gate valve is started and enters a simulated fault working state, and a built-in power collection module is used to monitor and record power data information in real time during the operation of the gate valve.

4. The gate valve failure quantification simulation method of claim 3, wherein, The power data information includes instantaneous power values of the gate valve at a plurality of discrete time points and average power values in the entire simulated fault working cycle.

5. The gate valve failure quantification simulation method of claim 1, wherein, The specific process of displaying the fault simulation result on the man-machine interaction interface is: The valve control system will comprehensively analyze the calculated actual fault degree , the fault deviation and the preset fault degree threshold value , and display the analysis results in a graphical or numerical form on the human-computer interaction interface; the human-computer interaction interface also provides a detailed record of the fault simulation process, including the machining information of the fault part, the time of the fault simulation and the changes of the key parameters in the simulation process.

6. The gate valve failure quantification simulation method of claim 1, wherein, The specific process of correcting the fault degree of the fault piece according to the fault simulation result is: According to the positive and negative of the fault deviation, it is judged whether the fault degree meets the fault simulation target; According to the judgment result, the fault piece adjustment strategy is formulated in combination with the corresponding power data information in the fault simulation process; The fault piece is adjusted based on the fault piece adjustment strategy; The adjusted fault piece is reinstalled on the gate valve, and fault simulation is performed again until the fault deviation meets the preset fault degree threshold corresponding to the precision value.

7. The gate valve failure quantification simulation method of claim 1, wherein, During the fault simulation process, the working state parameters of the gate valve are monitored and recorded in real time, including pressure parameters, temperature parameters, flow parameters and vibration parameters, the pressure parameters, temperature parameters, flow parameters and vibration parameters are analyzed in association with the power data information, the performance change of the gate valve in the fault state is comprehensively evaluated, and the preset fault degree threshold is optimized according to the comprehensive evaluation result.

8. The gate valve fault quantitative simulation method of claim 7, wherein A fault simulation database is established to store the fault piece type, the preset fault degree threshold, the actual fault degree, the fault deviation, the corrected fault piece parameters and the associated analysis of the working state parameters of each fault simulation; The data in the fault simulation database is trained by a machine learning algorithm to construct a fault prediction model; The actual fault degree and the fault deviation under the preset fault degree threshold are predicted by the fault prediction model. According to the prediction result, the machining, installation and correction process of the faulty part are guided, and the fault simulation database and the fault prediction model are continuously updated and optimized according to the updated fault simulation data.

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