A pressure detection method for a high-pressure power station valve

Abstract

The application relates to a pressure detection method for a high-voltage power station valve and relates to the technical field of high-voltage power station valves. The method comprises the following steps: obtaining specification information and material information of a high-voltage power station valve to be detected; calculating initial power of a pressure device and initial opening of an opening valve based on the specification information and the material information and controlling the pressure device and the opening valve to start; collecting temperature, flow rate, exhaust port pressure and pressure chamber internal pressure data in a pressure chamber unit in real time through a temperature sensor, a flow rate sensor, a first pressure detection device and a second pressure detection device during the detection process, and recording the data as detection data; and judging the pressure state in the pressure chamber unit and the sealing performance of the valve according to all the collected detection data by a control unit. In the application, the initial detection condition is matched with the valve characteristics, and therefore the detection pertinence and accuracy are improved.

Description

Technical Field

[0001] This application relates to the technical field of high-voltage power station valves, and in particular to a pressure detection method for high-voltage power station valves. Background Technology

[0002] High-voltage power station valves are key equipment used in high-voltage power station systems to control and regulate the flow of media. They can operate stably in high-temperature, high-pressure, and complex operating environments, ensuring the safe and reliable operation of the power station system.

[0003] Patent No. 202210003926.0 discloses a special device for valve pressure testing, including a pressure chamber unit, test interfaces, a shut-off valve, an inlet, a pressure testing device, an exhaust port, a drain port, an opening valve, a first pressure detection device, a second pressure detection device, and a central control module. This invention enables the testing of valves of different specifications by setting several sets of test interfaces with different nominal diameters on the upper part of the pressure chamber unit.

[0004] The aforementioned patent, when performing pressure testing on valves of different specifications, suffers from a lack of control over the pressure chamber unit, making the test results susceptible to interference. Solving this technical problem is a challenge that those skilled in the art need to overcome. Summary of the Invention

[0005] To at least partially solve the above-mentioned technical problems, this application provides a pressure detection method for high-voltage power station valves.

[0006] Firstly, the pressure detection method for a high-voltage power station valve provided in this application adopts the following technical solution.

[0007] A pressure detection method for a high-voltage power station valve includes:

[0008] Obtain the specifications and material information of the high-voltage power station valves to be tested;

[0009] Based on the specifications and material information, the initial power of the pressurizing device and the initial opening of the valve are calculated, and the pressurizing device and the valve are started.

[0010] During the testing process, temperature, flow rate, exhaust port pressure and internal pressure data of the pressure chamber unit are collected in real time by temperature sensor, flow rate sensor, first pressure detection device and second pressure detection device, and recorded as test data.

[0011] The control unit determines the pressure state within the pressure chamber unit and the sealing performance of the valves based on all collected detection data.

[0012] By adopting the above technical solution, the initial power of the pressure testing device and the initial opening degree of the valve are calculated after obtaining the valve specifications and material information, and the corresponding device is started, so that the initial testing conditions are matched with the valve characteristics, thereby improving the pertinence and accuracy of the test; during the test, multiple sensors collect test data in real time, and the control unit judges the pressure status and valve sealing performance based on these test data.

[0013] Optionally, based on the specification and material information, the initial power of the pressurizing device and the initial opening of the valve are calculated, and the pressurizing device and the valve are controlled to start, including:

[0014] The valve diameter, nominal pressure, and material yield strength and elastic modulus from the specification information are input into a pre-established power calculation model; the power calculation model outputs the initial power of the pressurization device.

[0015] Based on the calculated initial power of the pressurization device, the required water flow rate is calculated in combination with the volume of the pressure chamber unit, the diameter and length of the inlet pipe.

[0016] The calculated water flow rate is input into the valve opening calculation model; the valve opening calculation model is established based on the flow characteristic curve of the valve; the output of the valve opening calculation model is the initial opening of the valve.

[0017] The control unit sends control signals to the pressure device and the opening valve respectively based on the calculated initial power of the pressure device and the initial opening of the opening valve, thereby activating the pressure device and the opening valve.

[0018] Optionally, after sending control signals to the pressurizing device and the opening valve, the method further includes:

[0019] The control unit monitors the actual power of the pressurizing device and the actual opening degree of the valve in real time, and compares them with the calculated initial power and initial opening degree.

[0020] If the deviation between the actual power and the initial power exceeds the preset power deviation threshold, or the deviation between the actual opening degree and the initial opening degree exceeds the preset opening degree deviation threshold, the control unit adjusts the control signal according to the magnitude of the deviation to correct the power of the pressurizing device and / or the opening degree of the opening valve.

[0021] Optionally, the control unit determines the pressure state within the pressure chamber unit based on all collected detection data, including:

[0022] Calculate the standard deviation of the internal pressure data in the pressure chamber within a first time period. If the standard deviation is less than a preset pressure stability threshold, then the internal pressure in the pressure chamber is determined to be in a stable state.

[0023] Monitor the pressure change trend inside the pressure chamber over time, calculate the first derivative of the pressure, and if the first derivative is greater than the preset pressure change rate threshold, it is determined to be in an unstable state.

[0024] Calculate the average pressure inside the pressure chamber, compare the average pressure with the preset target pressure to obtain the difference between the two, and if the difference is less than the preset pressure deviation threshold, it is determined that the pressure meets the target requirement.

[0025] Optionally, the method further includes:

[0026] Collect energy consumption data of the pressure testing device under different operating conditions, as well as corresponding valve specifications, material information, pressure chamber unit volume, and inlet pipe diameter and length;

[0027] Using valve specifications, material information, pressure chamber unit volume, inlet pipe diameter, length, and testing time as input features, and pressure testing device energy consumption as output label, an energy consumption assessment model is trained.

[0028] Install power monitoring equipment on the pressure testing device to collect the energy consumption data of the pressure testing device in real time;

[0029] The collected real-time energy consumption data is transmitted to the control unit, which then compares and analyzes the actual energy consumption with the theoretical energy consumption predicted by the energy consumption assessment model.

[0030] The initial power output of the power calculation model is adjusted in conjunction with the energy consumption assessment model with the goal of reducing energy consumption;

[0031] During the testing process, the control unit dynamically adjusts the power of the pressurizing device based on the real-time collected data on temperature, flow rate, exhaust port pressure, and internal pressure of the pressure chamber. When the internal pressure of the pressure chamber is close to the preset target pressure and is in a stable state, the power of the pressurizing device is reduced; when the pressure fluctuates and requires rapid adjustment, the power is increased.

[0032] Optionally, the initial power output of the power calculation model may be adjusted in conjunction with an energy consumption assessment model with the goal of reducing energy consumption, including:

[0033] The control unit extracts theoretical energy consumption data corresponding to the current detection conditions based on the energy consumption assessment model;

[0034] The energy consumption deviation value is obtained based on the difference between actual energy consumption and theoretical energy consumption;

[0035] If the energy consumption deviation value exceeds the preset energy consumption deviation threshold, the control unit marks that there is an abnormal energy consumption situation in this detection;

[0036] When an energy consumption anomaly occurs, the control unit combines real-time collected data on temperature, flow rate, exhaust port pressure, and internal pressure within the pressure chamber to analyze the cause of the energy consumption deviation.

[0037] Based on the results of energy consumption comparison analysis and deviation cause analysis, with the goal of reducing energy consumption, it is determined whether the initial power output by the power calculation model needs to be adjusted; if so, the control unit obtains the adjusted initial power based on the energy consumption assessment model, the deviation cause analysis results, and the current detection conditions.

[0038] Optionally, the control unit combines real-time collected data on temperature, flow rate, exhaust port pressure, and internal pressure within the pressure chamber unit, as well as valve specifications and material information, to determine the cause of energy consumption deviations using fault tree analysis.

[0039] Based on the energy consumption comparison analysis and the results of the deviation diagnosis, determine whether to adjust the initial power to reduce energy consumption;

[0040] If it is determined that the initial power needs to be adjusted, the control unit formulates an initial power adjustment strategy based on the energy consumption assessment model, the results of the deviation cause analysis, and the current detection conditions.

[0041] The control unit calculates the adjusted initial power based on the current detection conditions, energy consumption assessment model, adjustment strategy, and optimization algorithm.

[0042] Optionally, before starting the pressure-pressurizing device and the opening valve, the method further includes:

[0043] The control unit inputs valve specification information, material information, pressure chamber unit structural parameters, and inlet pipe parameters into a pre-built fluid dynamics simulation model; the fluid dynamics simulation model is used to simulate the dynamic changes of the fluid in the pressure chamber after the pressure device is started.

[0044] Output of fluid dynamics simulation model: peak value of maximum transient pressure generated in the initial stage of pressurization, pressure wave propagation path and duration;

[0045] The control unit formulates a power increment curve of the pressure device and a valve opening rate control strategy based on the simulation results to avoid transient pressure shocks exceeding the valve's tolerance limit.

[0046] During the actual pressurization process, the control unit dynamically adjusts the output power of the pressurization device according to the power increase curve set by the fluid dynamics simulation model, and corrects the response speed of the opening valve in combination with the real-time collected pressure data; if the real-time detected pressure rise rate exceeds the safe range predicted by the fluid dynamics simulation model, the control unit reduces the power of the pressurization device and adjusts the opening valve to release some pressure.

[0047] Optionally, the control unit determines the valve's sealing performance based on all collected detection data, including:

[0048] A sealing performance evaluation model is established, which uses the pressure data inside the pressure chamber, the pressure data at the exhaust port, the temperature data, the flow rate data, and the valve's specifications and material information as input features.

[0049] The leakage rate of the valve sealing surface is calculated using the sealing performance evaluation model; wherein, the leakage volume per unit time is calculated based on the difference between the pressure inside the pressure chamber and the pressure at the exhaust port, the medium density after temperature data correction, and the flow rate data.

[0050] The calculated leakage rate is compared with a preset sealing performance threshold. If the leakage rate is less than or equal to the sealing performance threshold, the valve sealing performance is deemed qualified; if the leakage rate is greater than the sealing performance threshold, the valve sealing performance is deemed unqualified.

[0051] The sealing performance evaluation model is trained through the following steps:

[0052] Collect sample data of valve sealing performance that are qualified and unqualified in historical tests. The sample data includes test data, valve specification information, material information and actual judgment results of sealing performance.

[0053] A neural network algorithm is used to train and validate the initial model, taking detection data, valve specification information, and material information as inputs and actual sealing performance judgment results as output labels, until the classification accuracy of the initial model reaches the preset accuracy requirements. Attached Figure Description

[0054] Figure 1 This is a flowchart of a pressure detection method for a high-voltage power station valve according to an embodiment of this application. Detailed Implementation

[0055] The following is in conjunction with the appendix Figure 1 The present application will be further described with reference to specific embodiments:

[0056] This application discloses a pressure detection method for a high-voltage power station valve, including the following steps:

[0057] Step 101: Obtain the specifications and material information of the high-voltage power station valve to be tested.

[0058] Step 102: Calculate the initial power of the pressurizing device and the initial opening of the valve based on the specifications and material information, and control the pressurizing device and the valve to start.

[0059] Step 103: During the detection process, the temperature, flow rate, exhaust port pressure and internal pressure data of the pressure chamber unit are collected in real time by the temperature sensor, flow rate sensor, first pressure detection device and second pressure detection device, and recorded as detection data.

[0060] Step 104: The control unit determines the pressure state within the pressure chamber unit and the sealing performance of the valve based on all the collected detection data.

[0061] Specifically, by obtaining valve specifications and material information, the initial power of the pressure testing device and the initial opening degree of the valve are calculated, and the corresponding device is activated, so that the initial testing conditions match the valve characteristics, thereby improving the targeting and accuracy of the test. During the test, multiple sensors collect test data in real time, and the control unit judges the pressure status and valve sealing performance based on these test data.

[0062] As a specific implementation method for pressure detection of valves in high-voltage power stations, the initial power of the pressure testing device and the initial opening degree of the valve are calculated based on the specification and material information, and the pressure testing device and the valve are controlled to start, including:

[0063] The valve diameter, nominal pressure, and material yield strength and elastic modulus from the specification information are input into a pre-established power calculation model; the power calculation model outputs the initial power of the pressurization device.

[0064] Based on the calculated initial power of the pressurization device, the required water flow rate is calculated in combination with the volume of the pressure chamber unit, the diameter and length of the inlet pipe.

[0065] The calculated water flow rate is input into the valve opening calculation model; the valve opening calculation model is established based on the flow characteristic curve of the valve; the output of the valve opening calculation model is the initial opening of the valve.

[0066] The control unit sends control signals to the pressure device and the opening valve respectively based on the calculated initial power of the pressure device and the initial opening of the opening valve, thereby activating the pressure device and the opening valve.

[0067] Specifically, the initial power of the pressurizing device is determined by inputting the valve diameter, nominal pressure, material yield strength, and elastic modulus into a pre-established power calculation model. The water flow rate is calculated by combining the pressure chamber unit volume, inlet pipe diameter, and length. The water flow rate is converted into the initial opening of the opening valve using an opening valve opening characteristic curve calculation model. The control unit sends a control signal to start the device based on the calculated initial power and initial opening, realizing the start-up and coordinated operation of the pressurizing device and the opening valve, reducing detection errors caused by improper initial condition settings.

[0068] As a specific implementation method for pressure detection of valves in high-voltage power plants, the training process of the power calculation model includes:

[0069] Collect historical test data on pressure testing of high-voltage power station valves of different specifications and materials; the test data includes valve diameter, nominal pressure, material yield strength, elastic modulus, and actual power used by the pressure testing device;

[0070] The collected experimental data were preprocessed, and the preprocessed data was divided into training set and test set;

[0071] Valve diameter, nominal pressure, material yield strength, and elastic modulus are used as input features; the power of the pressurizing device is used as the output label; the initial model is trained using the training set;

[0072] The trained initial model is evaluated using a test set;

[0073] Adjust the parameters of the initial model based on the evaluation results until the initial model meets the performance requirements to obtain the power calculation model.

[0074] Specifically, historical test data was collected, encompassing multiple dimensions such as valve diameter, nominal pressure, material yield strength, elastic modulus, and actual power consumption of the pressurizing device. This data covers actual testing conditions for valves of different specifications and materials, enabling the model to learn the relationship between various valve characteristics and required pressurizing power, providing a foundation for model training. The collected data was preprocessed and divided into training and test sets. Preprocessing removes noise and outliers, improving data quality, while dividing the data into training and test sets helps the model learn the general characteristics of the data during training, while the model's generalization ability is validated on the test set. The model was trained using valve diameter, nominal pressure, material yield strength, and elastic modulus as input features, and the power consumption of the pressurizing device as the output label, establishing an accurate mapping relationship between input features and output power. The initial model was repeatedly trained using the training set, continuously adjusting its parameters to fit the patterns in the data. The trained model was evaluated using the test set, allowing for timely identification of its performance on unseen data and pinpointing any shortcomings. Based on the evaluation results, the parameters of the initial model were adjusted until the required performance indicators were met.

[0075] As a specific implementation of a pressure detection method for valves in a high-voltage power station, after sending control signals to the pressure testing device and the opening valve, the method further includes:

[0076] The control unit monitors the actual power of the pressurizing device and the actual opening degree of the valve in real time, and compares them with the calculated initial power and initial opening degree.

[0077] If the deviation between the actual power and the initial power exceeds the preset power deviation threshold, or the deviation between the actual opening degree and the initial opening degree exceeds the preset opening degree deviation threshold, the control unit adjusts the control signal according to the magnitude of the deviation to correct the power of the pressurizing device and / or the opening degree of the opening valve.

[0078] Specifically, due to various uncontrollable factors in actual operating conditions, such as equipment wear and tear and external environmental interference, deviations may occur between the actual power of the pressure testing device and the actual opening of the valve and the calculated initial values. The control unit monitors and compares these deviations in real time. When the deviation exceeds a preset threshold, the control unit adjusts the control signal according to the magnitude of the deviation and corrects the power of the pressure testing device and / or the opening of the valve. If the actual power exceeds the initial power and the deviation threshold, the control unit can reduce the power of the pressure testing device to avoid unnecessary damage to the valve due to excessive power, while also reducing energy waste. If the actual opening deviates too much from the initial opening, the control unit adjusts the opening of the valve to ensure that the water flow rate in the pressure chamber unit meets the detection requirements, allowing the detection process to be carried out in a stable environment; effectively reducing detection errors caused by equipment operating deviations.

[0079] In one implementation method of pressure detection for high-voltage power station valves, the control unit determines the pressure state within the pressure chamber unit based on all collected detection data, including:

[0080] Calculate the standard deviation of the internal pressure data in the pressure chamber within a first time period. If the standard deviation is less than a preset pressure stability threshold, then the internal pressure in the pressure chamber is determined to be in a stable state.

[0081] Monitor the pressure change trend inside the pressure chamber over time, calculate the first derivative of the pressure, and if the first derivative is greater than the preset pressure change rate threshold, it is determined to be in an unstable state.

[0082] Calculate the average pressure inside the pressure chamber, compare the average pressure with the preset target pressure to obtain the difference between the two, and if the difference is less than the preset pressure deviation threshold, it is determined that the pressure meets the target requirement.

[0083] As one embodiment of a pressure detection method for valves in a high-voltage power station, the method further includes:

[0084] Collect energy consumption data of the pressure testing device under different operating conditions, as well as corresponding valve specifications, material information, pressure chamber unit volume, and inlet pipe diameter and length;

[0085] Using valve specifications, material information, pressure chamber unit volume, inlet pipe diameter, length, and testing time as input features, and pressure testing device energy consumption as output label, an energy consumption assessment model is trained.

[0086] Install power monitoring equipment on the pressure testing device to collect the energy consumption data of the pressure testing device in real time;

[0087] The collected real-time energy consumption data is transmitted to the control unit, which then compares and analyzes the actual energy consumption with the theoretical energy consumption predicted by the energy consumption assessment model.

[0088] The initial power output of the power calculation model is adjusted in conjunction with the energy consumption assessment model with the goal of reducing energy consumption;

[0089] During the testing process, the control unit dynamically adjusts the power of the pressurizing device based on the real-time collected data on temperature, flow rate, exhaust port pressure, and internal pressure of the pressure chamber. When the internal pressure of the pressure chamber is close to the preset target pressure and is in a stable state, the power of the pressurizing device is reduced; when the pressure fluctuates and requires rapid adjustment, the power is increased.

[0090] Specifically, energy consumption data and related parameters of the pressure testing device under different operating conditions are collected, and this data is used to train an energy consumption assessment model. Power monitoring equipment is installed on the pressure testing device to collect energy consumption data in real time, and this data is transmitted to the control unit for comparison and analysis with theoretical energy consumption. Based on the energy consumption assessment model, the initial power output of the power calculation model is adjusted with the goal of reducing energy consumption. This allows for optimization of power settings at the beginning of the test, avoiding unnecessary energy waste due to excessively high initial power. During the test, the control unit dynamically adjusts the power of the pressure testing device based on the real-time pressure data. When the pressure inside the pressure chamber approaches and stabilizes near the preset target pressure, the power is reduced, minimizing unnecessary energy output while ensuring testing effectiveness. Conversely, when pressure fluctuations require rapid adjustment, the power is increased to ensure smooth testing and accurate results.

[0091] One implementation method for pressure detection of valves in high-voltage power plants involves adjusting the initial power output of the power calculation model in conjunction with an energy consumption assessment model to reduce energy consumption. This includes:

[0092] The control unit extracts theoretical energy consumption data corresponding to the current detection conditions based on the energy consumption assessment model;

[0093] The energy consumption deviation value is obtained based on the difference between actual energy consumption and theoretical energy consumption;

[0094] If the energy consumption deviation value exceeds the preset energy consumption deviation threshold, the control unit marks that there is an abnormal energy consumption situation in this detection;

[0095] When an energy consumption anomaly occurs, the control unit combines real-time collected data on temperature, flow rate, exhaust port pressure, and internal pressure within the pressure chamber to analyze the cause of the energy consumption deviation.

[0096] Based on the results of energy consumption comparison analysis and deviation cause analysis, with the goal of reducing energy consumption, it is determined whether the initial power output by the power calculation model needs to be adjusted; if so, the control unit obtains the adjusted initial power based on the energy consumption assessment model, the deviation cause analysis results, and the current detection conditions.

[0097] Specifically, the control unit extracts corresponding theoretical energy consumption data based on the energy consumption assessment model. It calculates the difference between actual and theoretical energy consumption to obtain the energy consumption deviation value, which is then compared with a preset energy consumption deviation threshold. If the deviation value exceeds the threshold, an energy consumption anomaly is immediately identified during the test. When an energy consumption anomaly occurs, the system analyzes the causes of the deviation by combining various data collected in real-time from the pressure chamber unit. Through comprehensive data analysis, potential causes of the energy consumption deviation are identified, such as valve sealing problems or abnormal pipeline resistance. Based on the results of the energy consumption comparison analysis and deviation cause analysis, the system determines whether to adjust the initial power. If adjustment is necessary, the adjusted initial power is obtained by combining the energy consumption assessment model, the deviation cause analysis results, and the current testing conditions. If energy consumption is too high, adjusting the initial power can reduce unnecessary energy consumption; if energy consumption is abnormally low but the test results may be affected, the power can be reasonably increased to ensure the testing effect, effectively improving energy utilization efficiency and reducing energy costs in the high-voltage power station valve pressure testing process.

[0098] As one implementation method for pressure detection of valves in high-voltage power plants, based on the results of energy consumption comparison analysis and deviation cause analysis, with the goal of reducing energy consumption, it is determined whether the initial power output of the power calculation model needs to be adjusted, including:

[0099] The control unit combines real-time collected data on temperature, flow rate, exhaust port pressure, and internal pressure within the pressure chamber, as well as valve specifications and material information, with fault tree analysis to determine the causes of energy consumption deviations.

[0100] Based on the energy consumption comparison analysis and the results of the deviation diagnosis, determine whether to adjust the initial power to reduce energy consumption;

[0101] If it is determined that the initial power needs to be adjusted, the control unit formulates an initial power adjustment strategy based on the energy consumption assessment model, the results of the deviation cause analysis, and the current detection conditions.

[0102] The control unit calculates the adjusted initial power based on the current detection conditions, energy consumption assessment model, adjustment strategy, and optimization algorithm.

[0103] Specifically, the control unit combines various real-time collected data with valve specifications and material information, and uses fault tree analysis to determine the causes of energy consumption deviations. Based on energy consumption comparison analysis and accurate deviation cause diagnosis results, it determines whether to adjust the initial power. If it is determined that the initial power needs to be adjusted, the control unit formulates an adjustment strategy based on the energy consumption assessment model, deviation cause analysis results, and current testing conditions. The control unit calculates the adjusted initial power based on the current testing conditions, energy consumption assessment model, adjustment strategy, and optimization algorithm, significantly reducing energy consumption during the testing process, improving energy utilization efficiency, and ensuring the stability of the testing process and the accuracy of the testing results.

[0104] As one embodiment of a pressure detection method for valves in a high-voltage power station, before starting the pressure testing device and the opening valve, the method further includes:

[0105] The control unit inputs valve specification information, material information, pressure chamber unit structural parameters, and inlet pipe parameters into a pre-built fluid dynamics simulation model; the fluid dynamics simulation model is used to simulate the dynamic changes of the fluid in the pressure chamber after the pressure device is started.

[0106] Output of fluid dynamics simulation model: peak value of maximum transient pressure generated in the initial stage of pressurization, pressure wave propagation path and duration;

[0107] The control unit formulates a power increment curve of the pressure device and a valve opening rate control strategy based on the simulation results to avoid transient pressure shocks exceeding the valve's tolerance limit.

[0108] During the actual pressurization process, the control unit dynamically adjusts the output power of the pressurization device according to the power increase curve set by the fluid dynamics simulation model, and corrects the response speed of the opening valve in combination with the real-time collected pressure data; if the real-time detected pressure rise rate exceeds the safe range predicted by the fluid dynamics simulation model, the control unit reduces the power of the pressurization device and adjusts the opening valve to release some pressure.

[0109] As one implementation method for pressure detection of valves in high-voltage power plants, the control unit determines the valve's sealing performance based on all collected detection data, including:

[0110] A sealing performance evaluation model is established, which uses the pressure data inside the pressure chamber, the pressure data at the exhaust port, the temperature data, the flow rate data, and the valve's specifications and material information as input features.

[0111] The leakage rate of the valve sealing surface is calculated using the sealing performance evaluation model; wherein, the leakage volume per unit time is calculated based on the difference between the pressure inside the pressure chamber and the pressure at the exhaust port, the medium density after temperature data correction, and the flow rate data.

[0112] The calculated leakage rate is compared with a preset sealing performance threshold. If the leakage rate is less than or equal to the sealing performance threshold, the valve sealing performance is deemed qualified; if the leakage rate is greater than the sealing performance threshold, the valve sealing performance is deemed unqualified.

[0113] The sealing performance evaluation model is trained through the following steps:

[0114] Collect sample data of valve sealing performance that are qualified and unqualified in historical tests. The sample data includes test data, valve specification information, material information and actual judgment results of sealing performance.

[0115] A neural network algorithm is used to train and validate the initial model, taking detection data, valve specification information, and material information as inputs and actual sealing performance judgment results as output labels, until the classification accuracy of the initial model reaches the preset accuracy requirements.

[0116] It should be noted that the above embodiments are only used to illustrate this application and are not intended to limit the technical solutions described in this application. Although this specification has described this application in detail with reference to the above embodiments, those skilled in the art should understand that they can still make modifications or equivalent substitutions to this application. All technical solutions and improvements that do not depart from the spirit and scope of this application should be covered within the scope of the claims of this application.

Claims

1. A method of pressure detection of a valve of a high-pressure power plant, characterized by, The method comprises the following steps: Obtaining the specification information and material information of the high-voltage power station valve to be detected; Based on the specification information and material information, the initial power of the pressure device and the initial opening of the opening valve are calculated and the pressure device and the opening valve are controlled to start; During the detection process, the temperature, flow rate, exhaust port pressure and pressure chamber internal pressure data in the pressure chamber unit are collected in real time by the temperature sensor, flow rate sensor, first pressure detection device and second pressure detection device, which are recorded as detection data; The control unit judges the pressure state in the pressure chamber unit and the sealing performance of the valve according to all the collected detection data; Based on the specification information and material information, the initial power of the pressure device and the initial opening of the opening valve are calculated and the pressure device and the opening valve are controlled to start, which comprises: The valve diameter, nominal pressure in the specification information and the material yield strength, elastic modulus in the material information are input into the pre-established power calculation model; the power calculation model outputs the initial power of the pressure device; According to the calculated initial power of the pressure device, the required water flow is calculated in combination with the volume of the pressure chamber unit, the pipe diameter and length of the water inlet pipeline; The calculated water flow is input into the opening valve opening calculation model; the opening valve opening calculation model is established according to the flow characteristic curve of the opening valve; the opening valve opening calculation model outputs the initial opening of the opening valve; The control unit sends control signals to the pressure device and the opening valve respectively according to the calculated initial power of the pressure device and the initial opening of the opening valve, and starts the pressure device and the opening valve; After sending the control signals to the pressure device and the opening valve, the method further comprises: The control unit monitors the actual power of the pressure device and the actual opening of the opening valve in real time, and compares them with the calculated initial power and initial opening; If the deviation between the actual power and the initial power exceeds the preset power deviation threshold, or the deviation between the actual opening and the initial opening exceeds the preset opening deviation threshold, the control unit adjusts the control signal according to the deviation size to correct the power of the pressure device and / or the opening of the opening valve; The control unit judges the pressure state in the pressure chamber unit according to all the collected detection data, which comprises: Calculating the standard deviation of the pressure chamber internal pressure data within a first time length, if the standard deviation is less than the preset pressure stability threshold, it is determined that the pressure in the pressure chamber is in a stable state; Monitoring the change trend of the pressure in the pressure chamber with time, calculating the first derivative of the pressure, if the first derivative is greater than the preset pressure change rate threshold, it is determined that the pressure is in an unstable state; Calculating the average value of the pressure in the pressure chamber, comparing the average value with the preset target pressure to obtain the difference between them, if the difference is less than the preset pressure deviation threshold, it is determined that the pressure meets the target requirement; The method further comprises: Collecting the energy consumption data of the pressure device under different working conditions and the corresponding valve specification information, material information, pressure chamber unit volume, water inlet pipeline diameter and length; The valve specification information, material information, pressure chamber unit volume, water inlet pipeline diameter, length, and detection time are taken as input features, and the energy consumption of the pressing device is taken as an output label to train an energy consumption evaluation model; An electric energy monitoring device is installed on the pressing device to collect real-time energy consumption data of the pressing device; The collected real-time energy consumption data is transmitted to a control unit, and the control unit compares and analyzes the actual energy consumption with the theoretical energy consumption predicted by the energy consumption evaluation model; The initial power output by the power calculation model is adjusted in combination with the energy consumption evaluation model to reduce energy consumption; During the detection process, the control unit dynamically adjusts the power of the pressing device according to the real-time collected temperature, flow rate, exhaust port pressure, and pressure chamber internal pressure data in the pressure chamber unit; when the pressure in the pressure chamber approaches the preset target pressure and is in a stable state, the power of the pressing device is reduced; when the pressure fluctuates and needs to be quickly adjusted, the power is increased; The control unit judges the sealing performance of the valve according to all the collected detection data, including: A sealing performance evaluation model is established, which takes the pressure chamber internal pressure data, exhaust port pressure data, temperature data, flow rate data, and valve specification information and material information as input features; The sealing performance evaluation model calculates the leakage rate of the valve sealing surface; wherein the leakage volume per unit time is calculated according to the difference between the pressure in the pressure chamber and the exhaust port pressure, the temperature data corrected medium density, and the flow rate data; The calculated leakage rate is compared with the preset sealing performance threshold value; if the leakage rate is less than or equal to the sealing performance threshold value, the valve sealing performance is determined to be qualified; if the leakage rate is greater than the sealing performance threshold value, the valve sealing performance is determined to be unqualified; The sealing performance evaluation model is trained by the following steps: Collect sample data of valve sealing performance qualified and unqualified in historical detection, including detection data, valve specification information, material information, and actual sealing performance determination results; Use a neural network algorithm to train and verify the initial model until the classification accuracy of the initial model reaches the preset accuracy requirement, taking the detection data, valve specification information, and material information as input and the actual sealing performance determination results as output labels.

2. The method of claim 1, wherein the pressure of the valve of the high-pressure power plant is detected. The training process of the power calculation model includes: Collecting test data of pressure detection of high-voltage power station valves of different specifications and materials in the past; the test data includes the valve diameter, nominal pressure, material yield strength, elastic modulus, and actual power of the pressing device; Preprocessing the collected test data and dividing the preprocessed data into a training set and a test set; Taking the valve diameter, nominal pressure, material yield strength, and elastic modulus as input features and the power of the pressing device as output labels, the initial model is trained using the training set; The trained initial model is evaluated using the test set; According to the evaluation results, the parameters of the initial model are adjusted until the initial model meets the performance index requirements to obtain the power calculation model.

3. The method of claim 2, wherein the pressure of the valve of the high pressure power plant is detected by a pressure sensor. Adjusting the initial power output by the power calculation model to reduce energy consumption in combination with an energy consumption evaluation model, comprising: The control unit extracts theoretical energy consumption data corresponding to the current detected working condition based on the energy consumption evaluation model; Based on the difference between actual energy consumption and theoretical energy consumption, an energy consumption deviation value is obtained; If the energy consumption deviation value exceeds the preset energy consumption deviation threshold, the control unit marks that this detection has an energy consumption abnormality; When an energy consumption abnormality occurs, the control unit analyzes the cause of the energy consumption deviation by combining the real-time collected temperature, flow rate, exhaust port pressure, and internal pressure data of the pressure chamber unit; Based on the results of energy consumption comparison analysis and deviation cause analysis, determine whether to adjust the initial power output by the power calculation model to reduce energy consumption; if so, the control unit obtains the adjusted initial power based on the energy consumption evaluation model, deviation cause analysis results, and the current detection working condition.

4. The method of claim 3, wherein the pressure of the valve of the high pressure power plant is detected by using a pressure sensor. Based on the results of energy consumption comparison analysis and deviation cause analysis, determine whether to adjust the initial power output by the power calculation model to reduce energy consumption, comprising: The control unit combines the real-time collected temperature, flow rate, exhaust port pressure, and internal pressure data of the pressure chamber unit, as well as the valve specification information and material information to determine the cause of the energy consumption deviation based on fault tree analysis; Based on the results of energy consumption comparison analysis and deviation cause diagnosis, determine whether to adjust the initial power to reduce energy consumption; If it is determined to adjust the initial power, the control unit formulates an initial power adjustment strategy according to the energy consumption evaluation model, deviation cause analysis results, and the current detection working condition; The control unit calculates the adjusted initial power based on the current detection working condition, energy consumption evaluation model, adjustment strategy, and optimization algorithm.

5. The method of claim 4, wherein the pressure of the valve of the high pressure power plant is detected by a pressure sensor. Before starting the pressurizing device and the opening valve, the method further comprises: The control unit inputs the valve specification information, material information, pressure chamber unit structure parameters, and water inlet pipeline parameters into a pre-constructed fluid dynamics simulation model; the fluid dynamics simulation model is used to simulate the dynamic change process of the fluid in the pressure chamber after the pressurizing device starts; The fluid dynamics simulation model outputs: the maximum transient pressure peak value generated at the beginning of pressurization, the pressure wave propagation path, and the duration; The control unit formulates a pressurizing device power increment curve and an opening valve opening rate control strategy based on the simulation results to avoid transient pressure impact exceeding the valve bearing limit; During actual pressurization, the control unit dynamically adjusts the output power of the pressurizing device according to the power increment curve set by the fluid dynamics simulation model, and adjusts the response speed of the opening valve in combination with the real-time collected pressure data; if the real-time detected pressure rise rate exceeds the safety range predicted by the fluid dynamics simulation model, the control unit reduces the pressurizing device power and adjusts the opening valve to release part of the pressure.

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