Gate valve fault quantitative simulation method

Abstract

The invention relates to the technical field of fault analysis. The gate valve fault quantitative simulation method comprises the steps that a fault degree threshold value is preset in a valve control system according to a fault simulation target; according to the fault simulation target, a fault piece matched with the gate valve is machined, and the fault piece is installed at the corresponding position of the gate valve; controlling the gate valve to simulate a fault working state through a valve control system, and collecting power data information corresponding to the gate valve; calculating an actual fault degree according to the collected power data information, fitting the actual fault degree with a preset fault degree threshold value to obtain a fault deviation, and displaying a fault simulation result on a human-computer interaction interface; and correcting the fault degree of the fault part according to the fault simulation result. The problem that a traditional fault simulation method is difficult to accurately reflect the actual working states of the gate valve under different fault degrees is solved.

Description

Technical Field

[0001] The invention relates to the technical field of fault analysis, and in particular to a gate valve fault quantitative simulation method. Background Art

[0002] In the process of gate valve R&D, testing and maintenance, accurate simulation and evaluation of its fault status is crucial to improving product quality, optimizing design and ensuring safe operation. However, traditional gate valve fault simulation methods often rely on empirical judgment or qualitative analysis, lacking accuracy and repeatability. In addition, these methods usually require field testing in real environments, which is not only time-consuming and labor-intensive, but may also cause unnecessary damage to equipment and the environment. With the continuous development of industrial technology, higher requirements are placed on the accuracy and efficiency of gate valve fault simulation.

[0003] Traditional simulation methods often fail to accurately reflect the actual working state of gate valves under different fault levels, especially under complex and changeable working conditions. Therefore, there is an urgent need for a method that can quantitatively simulate the fault state of gate valves to achieve accurate control and evaluation of the fault level. Summary of the invention

[0004] The purpose of the present invention is to provide a gate valve fault quantitative simulation method, aiming to solve the problem that traditional fault simulation methods are difficult to accurately reflect the actual working state of the gate valve under different fault degrees.

[0005] The present invention is achieved through the following technical solutions:

[0006] A gate valve fault quantitative simulation method comprises the following steps:

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

[0008] According to the fault simulation target, a faulty part that matches the gate valve is processed and installed 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 power data information corresponding to the gate valve;

[0010] 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 the human-computer interaction interface;

[0011] According to the fault simulation results, correct the fault degree of the faulty component.

[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 the gate valve fails corresponding to the fault degree 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 jamming, gate jamming, lead screw wear, lead screw rusting, position indicator fault 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:

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

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

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

[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 simulated fault working condition t , Energy consumption during normal operation of the gate valve W vand maximum energy consumption W d , calculate the actual fault level S according to the following formula (3): t , formula (3) is as follows:

[0025]

[0026] The calculated actual fault degree is fitted with the preset fault degree threshold to calculate the fault deviation e, 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 is:

[0030] The valve control system calculates the actual fault level S t , fault deviation e and preset fault degree threshold S are comprehensively analyzed, and the analysis results are displayed in 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 processing information of the faulty part, the time of the fault simulation and the changes of key parameters in the simulation process.

[0031] Optionally, the specific process of correcting the fault degree of the faulty component according to the fault simulation result is:

[0032] According to the positive or negative value of the fault deviation, determine whether the fault degree meets the fault simulation target;

[0033] According to the judgment results and the corresponding power data information in the fault simulation process, formulate the fault component adjustment strategy;

[0034] Adjust the faulty parts based on the faulty parts adjustment strategy;

[0035] The adjusted faulty 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.

[0036] Optionally, during the fault simulation process, the working state 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, so as to comprehensively evaluate the performance changes of the gate valve under the fault state, and optimize the preset fault degree threshold based on the comprehensive evaluation results.

[0037] Optionally,

[0038] Establish a fault simulation database to store the fault component type, preset fault degree threshold, actual fault degree, fault deviation, corrected fault component parameters and working status parameters of correlation analysis for each fault simulation;

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

[0040] Predicting the actual fault degree and fault deviation under a preset fault degree threshold through a fault prediction model;

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

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

[0043] Improve the accuracy of fault simulation: By presetting the fault degree threshold and collecting the power data information of the gate valve during the simulation, the actual fault degree can be accurately calculated and compared with the preset threshold to obtain accurate fault deviation. Compared with traditional qualitative analysis or empirical judgment, the accuracy and reliability of fault simulation are greatly improved.

[0044] Optimize the design and adjustment of faulty parts: Based on the fault simulation results, we can intuitively understand the actual performance of the faulty parts in the gate valve operation, and then correct the fault degree of the faulty parts, which is helpful for rapid iteration and optimization of the design of the faulty parts, making them closer to the actual fault situation and improving the effectiveness of the simulation experiment.

[0045] Enhance fault diagnosis and prevention capabilities: By simulating the working conditions of gate valves under different fault levels, a more complete fault diagnosis database can be established; when an actual gate valve fails, the simulation data can be quickly compared to quickly locate the type and degree of the fault, providing strong support for timely maintenance measures; at the same time, the simulation process also helps to discover potential fault hazards, take preventive measures in advance, and reduce the probability of failure.

[0046] Improve R&D efficiency and reduce costs: Through the gate valve fault quantitative simulation method, fault testing can be efficiently performed in a laboratory environment, greatly shortening the R&D cycle, reducing testing costs, and improving the safety and controllability of the test.

[0047] Promote the development of intelligence and automation: Combining the valve control system and the human-computer interaction interface, it realizes the automatic control of the fault simulation process and the data visualization display, provides a basis for the intelligent management of gate valve fault simulation, and helps to promote the intelligence and automation level of related industries. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 Schematic diagram of the flow of the gate valve fault quantitative simulation method according to Example 1 of the present invention;

[0049] Figure 2 Schematic diagram of the fault simulation process of the gate valve fault quantitative simulation method according to Example 1 of the present invention. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0051] Example 1

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

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

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

[0055] 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):

[0056]

[0057] Among them, W f Indicates the energy consumption when the gate valve fails corresponding to the fault degree threshold S; when the gate valve fails, the energy consumed in its operation will also change accordingly, with different fault locations and different fault degrees having different change characteristics. Therefore, based on the characteristic changes in the gate valve energy consumption, the degree of the gate valve failure can be quantitatively judged.

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

[0059] W f =∫ 0T P f dt (1-1)

[0060] W v =∫ 0 T P v dt (1-2)

[0061] W d =∫ 0 T P d dt (1-3)

[0062] Among them, P v Indicates the reference power of the gate valve during normal operation, P d Indicates the maximum output power allowed by the gate valve, P f Indicates the average power when the gate valve fails, P f The constraints are shown in the following formula (1-4):

[0063] P v ≤P f ≤P d (1-4)

[0064] W f The constraints are shown in the following formula (1-5):

[0065] W v ≤W f ≤W d (1-5)

[0066] Step 2: According to the fault simulation target, a faulty part compatible with the gate valve is processed and installed at the corresponding position of the gate valve.

[0067] In this embodiment, the faulty parts are processed according to the type of fault simulation, and the fault types include: bearing wear, bearing jamming, gate jamming, screw wear, screw corrosion, position indicator fault and internal leakage. Generally, after a gate valve fails, the energy consumed by the gate valve will increase, but when the gate valve is not closed tightly, the energy consumed by the gate valve will decrease because the valve operation stroke becomes shorter. The following Table 1 shows the energy consumption under different fault types.

[0068] Table 1: Power consumption changes for different fault types

[0069]

[0070]

[0071] In this embodiment, for each type of fault, a detailed analysis and design is carried out to determine the specific manifestations and effects of the fault, as well as how to simulate these faults by processing the faulty parts. According to 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 fault 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 fault can be simulated by adding impurities to the bearing or gate, changing the gap or increasing the friction; for position indicator faults, the fault can be simulated by changing the indication accuracy, reaction speed or connection mode of the indicator; for internal leakage faults, the fault 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, the faulty parts are installed at the corresponding positions of the gate valve; during the installation process, it is necessary to ensure that the matching and connection between the faulty parts and other parts of the gate valve are correct to avoid introducing additional faults or errors; at the same time, it is also necessary to perform necessary inspections and tests on the installed gate valve to ensure that the faulty parts can correctly simulate the required fault types. 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; the actual fault degree is calculated based on the collected power data information, 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 power data information corresponding to the gate valve is as follows:

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

[0075] In this embodiment, the power acquisition module can select a high-precision, wide-range power sensor, such as a current transformer (CT) and a voltage transformer (PT), or an integrated power measurement module. The sensor is installed 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 of the gate valve when it is working. A microcontroller (MCU) with a high-speed analog-to-digital converter (ADC) is selected to convert the analog signal output by the sensor into a digital signal; sufficient flash memory or external memory is configured to store the collected power data; and communication interfaces such as RS-485, CAN, and Ethernet are provided to transmit data with the valve control system. A reliable power supply circuit is designed to ensure that the power acquisition module can work stably under various working conditions; low-power design is considered to extend the service life of the module. An efficient ADC sampling program is written to ensure that the current and voltage data during the working process of the gate valve can be collected in real time and accurately, and the collected data is filtered to reduce noise interference. According to the collected current and voltage data, the instantaneous power of the gate valve is calculated in real time; the instantaneous power is integrated to obtain the actual energy consumption of the gate valve during the simulated fault working cycle. If the power acquisition module needs to display power data independently, a simple LCD or OLED display can be designed to provide buttons or touch input so that users can view historical data or configure it. Install the power acquisition module in a location 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 key components such as the power supply and MCU is reliable. Perform functional tests on the power acquisition module to ensure that the power data can be correctly collected and calculated, and conduct 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 operating condition; check the wear of the sensor and connecting cables, and replace damaged parts in time.

[0076] In this embodiment, the power data information includes the instantaneous power value of the gate valve at a number of discrete time points and the average power value in the entire simulated fault working cycle.

[0077] Step 4: Calculate the actual fault degree based on the collected power data information, fit the actual fault degree with the preset fault degree threshold, obtain the fault deviation, and display the fault simulation result on the human-computer interaction interface.

[0078] In this embodiment, 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 as follows:

[0079] 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):

[0080] Wt =∫ 0 T P t dt (2)

[0081] 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;

[0082] The actual energy consumption W of the gate valve under simulated fault working condition t , Energy consumption during normal operation of the gate valve W v and maximum energy consumption W d , calculate the actual fault level S according to the following formula (3): t , formula (3) is as follows:

[0083]

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

[0085]

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

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

[0088] The valve control system calculates the actual fault level S t , fault deviation e and preset fault degree threshold S are comprehensively analyzed, and the analysis results are displayed in 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 processing information of the faulty part, the time of the fault simulation and the changes of key parameters in the simulation process.

[0089] Step 5: Correct the fault degree of the faulty component according to the fault simulation result.

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

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

[0092] According to the judgment results, combined with the corresponding power data information in 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 level threshold S, consider reducing the fault level of the faulty component, such as by reducing the wear level, adjusting the jamming force, etc. If the fault deviation e is negative, the actual fault level 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 and the force of jamming.

[0093] Based on the faulty parts adjustment strategy, the faulty parts are adjusted, such as reprocessing, modifying dimensions, adjusting material properties, etc. The adjusted faulty parts are subject to quality inspection to ensure that they meet the new fault degree requirements.

[0094] Reinstall the adjusted faulty part on 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. According to 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 to calculate the new fault deviation e ′ , 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 faulty part 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 example, during the fault simulation process, the working state 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, as well as 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, vibration and other parameters of the gate valve, as well as the corresponding power data information, are monitored and recorded in real time; the collected data are cleaned to remove outliers, missing values ​​or duplicate data to ensure the accuracy and completeness of the data; different types of parameters are standardized so that they have the same dimension and range, which is convenient for subsequent data analysis and comparison. The correlation between parameters such as pressure, temperature, flow rate and vibration and power data is analyzed by statistical analysis methods (such as correlation coefficient, covariance, etc.) or machine learning algorithms (such as decision trees, random forests, etc.); the changing trends of these parameters under fault conditions and their correlation trends with the degree of fault are identified by drawing trend graphs or using time series analysis methods. Based on the results of correlation analysis and trend identification, the performance changes of the gate valve under fault conditions are comprehensively evaluated, including energy consumption, pressure stability, temperature distribution, flow control capability 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, scope and duration of the impact. Based on the results of performance evaluation and fault severity analysis, a strategy for optimizing the preset fault severity threshold is formulated, including adjusting the threshold range, setting specific thresholds for different fault types, or introducing dynamic thresholds; based on the optimization strategy, the preset fault severity threshold is adjusted to more accurately reflect the actual fault state of the gate valve; a new fault simulation experiment is conducted under the adjusted preset fault severity threshold to verify whether the adjusted threshold can effectively reflect the actual fault state of the gate valve, and the threshold is further fine-tuned based on the verification results.

[0098] In this embodiment, a pressure sensor is installed to monitor the pressure changes of the gate valve during operation in real time; a temperature sensor is used to record the temperature changes of the gate valve and the surrounding environment; a flow sensor is used to monitor the fluid flow rate when the gate valve is working; and a vibration sensor is used to record the vibration of the gate valve during opening and closing.

[0099] In this embodiment, a fault simulation database is established to store the fault component type, preset fault severity threshold, actual fault severity, fault deviation, corrected fault component parameters and working status parameters of the associated analysis for each fault simulation.

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

[0101] The fault prediction model is used to predict the actual fault degree and fault deviation under the preset fault degree threshold.

[0102] The processing, installation and correction process of the faulty parts are guided according to the prediction results; the fault degree of the faulty parts is adjusted according to the prediction results to reduce the deviation between the actual fault degree and the preset fault degree threshold; after correcting the faulty parts, the fault simulation is re-performed and the relevant data in the fault simulation database is updated.

[0103] Based on the updated fault simulation data, the fault simulation database and fault prediction model are continuously updated and optimized, and the model is verified and tested regularly to improve the accuracy and reliability of the fault prediction model.

[0104] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A gate valve fault quantitative simulation method, characterized in that: Includes steps: According to the fault simulation target, a fault degree threshold is preset in the valve control system; According to the fault type of the fault simulation target, a faulty part adapted to the gate valve is processed and installed at the corresponding position of the gate valve; Control the gate valve to simulate the fault working state through the valve control system, and collect the power data information corresponding to the gate valve; 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 the human-computer interaction interface; According to the fault simulation results, correct the fault degree of the faulty component.

2. The gate valve fault quantitative simulation method according to claim 1, characterized in that: The specific process of presetting the fault degree threshold in the valve control system according to the fault simulation requirements is as follows: 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): Among them, W f Indicates the energy consumption when the gate valve fails corresponding to the fault degree threshold S.

3. The gate valve fault quantitative simulation method according to claim 1, characterized in that: The faulty parts are processed according to the fault types of fault simulation, and the fault types include: bearing wear, bearing jamming, gate jamming, lead screw wear, lead screw rusting, position indicator fault and internal leakage.

4. The gate valve fault quantitative simulation method according to claim 1, characterized in that: 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: The valve control system receives the fault level threshold and adjusts the control strategy of the gate valve according to the fault level threshold; starts the gate valve and enters a simulated fault working state, and monitors and records the power data information during the gate valve operation in real time through the built-in power acquisition module.

5. The gate valve fault quantitative simulation method according to claim 4, characterized in that: The power data information includes instantaneous power values ​​of the gate valve at a number of discrete time points and an average power value in the entire simulated fault working cycle.

6. The gate valve fault quantitative simulation method according to claim 2, characterized in that: 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 as follows: 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): 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; The actual energy consumption W of the gate valve under simulated fault working condition t , Energy consumption during normal operation of the gate valve W v and maximum energy consumption W d , calculate the actual fault level S according to the following formula (3): t , formula (3) is as follows: The calculated actual fault degree is fitted with the preset fault degree threshold to calculate the fault deviation e, as shown in the following formula (4): Wherein, e represents the fault deviation, and S represents the fault degree threshold.

7. The gate valve fault quantitative simulation method according to claim 6, characterized in that: The specific process of displaying the fault simulation results on the human-computer interaction interface is as follows: The valve control system calculates the actual fault level S t , fault deviation e and preset fault degree threshold S are comprehensively analyzed, and the analysis results are displayed in 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 processing information of the faulty part, the time of the fault simulation and the changes of key parameters in the simulation process.

8. The gate valve fault quantitative simulation method according to claim 1, characterized in that: The specific process of correcting the fault degree of the faulty component according to the fault simulation result is as follows: According to the positive or negative value of the fault deviation, determine whether the fault degree meets the fault simulation target; According to the judgment results and the corresponding power data information in the fault simulation process, formulate the fault component adjustment strategy; Adjust the faulty parts based on the faulty parts adjustment strategy; The adjusted faulty 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.

9. The gate valve fault quantitative simulation method according to claim 1, characterized in that: During the fault simulation process, the working state parameters of the gate valve, including pressure parameters, temperature parameters, flow parameters and vibration parameters, are monitored and recorded in real time. The pressure parameters, temperature parameters, flow parameters and vibration parameters are correlated with the power data information for analysis, and the performance changes of the gate valve under the fault state are comprehensively evaluated. Based on the comprehensive evaluation results, the preset fault degree threshold is optimized.

10. The gate valve fault quantitative simulation method according to claim 9, characterized in that: Establish a fault simulation database to store the fault component type, preset fault degree threshold, actual fault degree, fault deviation, corrected fault component parameters and working status parameters of correlation analysis for each fault simulation; The data in the fault simulation database is trained using machine learning algorithms to build a fault prediction model; Predicting the actual fault degree and fault deviation under a preset fault degree threshold through a fault prediction model; The processing, installation and correction process of the faulty parts are guided according to the prediction results, and the fault simulation database and fault prediction model are continuously updated and optimized according to the updated fault simulation data.

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