Pressure scanning valve state monitoring method, device and equipment

Abstract

The present application relates to a method, device and equipment for monitoring the state of a pressure scanning valve, and relates to the technical field of pressure scanning valve equipment maintenance. Through advanced sensor technology, data acquisition and processing technology, real-time monitoring and automatic diagnosis of the pressure scanning valve are realized. The method includes: calling the working data of the pressure scanning valve within a preset time period; the working data is the pressure value collected by each detection channel in the pressure scanning valve for the position to be tested with a connection relationship at every unit time step; calculating the distribution trend of multiple pressure values ​​corresponding to each detection channel; when the distribution trend of any specific channel does not match the change trend of the current fluid over time, determining that the specific channel is an abnormal channel.

Description

Technical Field

[0001] The present application relates to the technical field of pressure scanning valve equipment maintenance, and in particular to a method, device and equipment for monitoring the status of a pressure scanning valve. Background Art

[0002] With the development of industrial automation, pressure scanning valves, as important equipment for multi-point pressure measurement, are widely used in various complex fluid systems. They can provide key information such as flow distribution, fluid behavior, and pressure gradient, which is essential for optimizing fluid system design, improving flow field performance, and solving fluid dynamics problems.

[0003] Pressure scanning valves are widely used in aviation, aerospace, and wind tunnel calibration as important data references for aircraft design and performance evaluation. These application scenarios have extremely high requirements for the accuracy of test results and the stability of equipment. Therefore, pressure scanning valves usually require high-frequency regular maintenance and emergency fault handling.

[0004] However, the traditional maintenance and troubleshooting process relies on manual judgment, which has problems such as high maintenance costs and inaccurate fault prediction. Manual detection and diagnosis are not only time-consuming and labor-intensive, but also easily affected by human factors, resulting in inaccurate and untimely fault prediction. At the same time, with the continuous development of hardware integration technology, the integration of pressure scanning valves is getting higher and higher, and the number of pressure channels that need to be detected simultaneously is gradually increasing, which further increases the difficulty and time of manual maintenance, and significantly increases the complexity and technical requirements of maintenance work.

[0005] Complex fluid systems and high-density measurement points make it increasingly difficult for traditional maintenance methods to meet the needs of efficiency and accuracy. Manual maintenance not only requires skilled technicians, but also requires a lot of time and resources to ensure the normal operation of equipment and the accuracy of data. Frequent shutdowns for maintenance will also have an adverse impact on production efficiency and increase operating costs. Summary of the invention

[0006] The present application aims to provide a method, device and equipment for monitoring the status of a pressure scanning valve, which can realize real-time monitoring and automatic diagnosis of the pressure scanning valve through advanced sensor technology, data acquisition and processing technology.

[0007] In a first aspect, an embodiment provides a method for monitoring the state of a pressure scanning valve, which is applied to an electronic device, and the method includes: calling the working data of the pressure scanning valve within a preset time period; the working data is the pressure value collected by each detection channel in the pressure scanning valve for a connected position to be tested at unit time steps; calculating the distribution trend of multiple pressure values ​​corresponding to each detection channel; when the distribution trend of any specific channel is inconsistent with the change trend of the current fluid over time, determining that the specific channel is an abnormal channel.

[0008] In one embodiment, before calculating the distribution trend of multiple pressure values ​​corresponding to each detection channel, the method further includes:

[0009] Calibrate the measurement noise covariance and process noise covariance of the pressure scanning valve under the current fluid;

[0010] Taking each time point of data acquisition of a single detection channel in the preset time period as the current time point, calculating the model state covariance at the current time point after the process noise covariance is accumulated with the unit time step;

[0011] Calculate the Kalman filter gain of the pressure scanning valve at the current time point according to the model state covariance and the measurement noise covariance at the current time point;

[0012] Based on the corrected pressure value corresponding to a time point before the current time point, the pressure value collected by a single detection channel of the pressure scanning valve at the current time point is corrected by using the Kalman filter gain to obtain the corrected pressure value corresponding to the current time point;

[0013] Calculate the distribution trend of multiple pressure values ​​corresponding to each detection channel, including:

[0014] For a single detection channel, when obtaining the corrected pressure value corresponding to the final time point of the last collected data in the preset time period, the distribution trend of the corresponding multiple corrected pressure values ​​is calculated; the multiple corrected pressure values ​​correspond one-to-one to each time point of each collected data in the preset time period.

[0015] In one embodiment, calculating the distribution trend of multiple pressure values ​​corresponding to each detection channel includes:

[0016] Calculating the value range within which the pressure value collected by the detection channel of the pressure scanning valve falls under the pressure distribution trend under normal conditions; the value range is related to the mean and standard deviation of the distribution trend;

[0017] When the distribution trend of any specific channel does not match the change trend of the current fluid over time, the specific channel is determined to be an abnormal channel, including:

[0018] According to whether the pressure value collected by the specific channel is within the value range, the specific channel is determined to be an abnormal channel.

[0019] In one embodiment, when the distribution trend of any specific channel does not match the change trend of the current fluid over time, determining the specific channel as an abnormal channel includes:

[0020] Counting the number of abnormal pressure values ​​collected by the specific channel within the preset time period that do not fall within the value range;

[0021] According to the ratio of the abnormal number to the total number of the multiple pressure values, an early warning of the abnormal channel is performed.

[0022] In one embodiment, according to the ratio of the number of abnormalities to the total number of the multiple pressure values, an early warning of an abnormal channel is performed, including:

[0023] If the ratio is greater than 0.03% and the ratio is less than or equal to 0.5%, generating an alarm message suggesting maintenance for the specific channel;

[0024] If the ratio is greater than 0.5%, an alarm message is generated for immediate maintenance of the specific channel.

[0025] In one embodiment, after determining that the specific channel is an abnormal channel, the method further includes:

[0026] When the number of the abnormal channels exceeds 10% of the total number of channels of the pressure scanning valve, an alarm message for detecting all channels of the pressure scanning valve is generated.

[0027] In one embodiment, when the current fluid is a stable flow field, the change trend of the current fluid over time is a normal distribution.

[0028] In one embodiment, after determining that the specific channel is an abnormal channel, the method further includes:

[0029] Obtaining loss parameters that affect the life of the pressure scanning valve; the loss parameters include temperature, vibration amplitude in the current fluid, and working time in the current fluid;

[0030] Calibrate the attenuation length of each loss parameter that reduces the life of the pressure scanning valve per unit length increase under the influence of the current fluid;

[0031] The values ​​of the loss parameters of the pressure scanning valve affected by the current fluid at the current time are collected, and the service life of the pressure scanning valve is calculated.

[0032] In a second aspect, an embodiment provides a pressure scanning valve state monitoring device, which is arranged in an electronic device, and the device includes:

[0033] The data acquisition module is used to call the working data of the pressure scanning valve within a preset time period; the working data is the pressure value collected by each detection channel in the pressure scanning valve for the connected position to be tested at every unit time step.

[0034] The intelligent diagnosis module is used to calculate the distribution trend of multiple pressure values ​​corresponding to each detection channel; when the corresponding distribution trend of multiple pressure values ​​of any specific channel does not match the change trend of the current fluid over time, the specific channel is determined to be an abnormal channel.

[0035] In a third aspect, an embodiment of the present application further provides a computer-readable storage medium, in which a program executable by a processor is stored. When the program executable by the processor is executed by the processor, it is used to implement the pressure scanning valve state monitoring method as described above.

[0036] In a fourth aspect, an embodiment of the present application further provides an electronic device, wherein the storage device is used to store computer instructions, and the processor is used to execute the program instructions to implement the pressure scanning valve state monitoring method as described above.

[0037] The beneficial effects of this application are:

[0038] The above-mentioned pressure scanning valve state monitoring method is based on the fact that after the pressure scanning valve is highly concentrated, multiple channels simultaneously detect the pressure at different positions in the same fluid environment. Based on the characteristics of the impact of the fluid on the pressure at different positions in this scenario, the pressure value collected by the pressure scanning valve during operation is called to analyze the pressure value, and the distribution trend of multiple pressure values ​​collected by each channel of the pressure scanning valve is obtained. The corresponding distribution trend of multiple pressure values ​​of a specific channel is compared with the change trend of the current fluid over time to compare whether the multiple pressure values ​​of a specific channel are consistent with the pressure change of the environment under the current fluid impact, so as to determine whether the pressure value collected by a specific channel is abnormal, and thus detect whether the specific channel is abnormal. The above-mentioned method breaks the current common practice of detecting a single channel one by one, and instead finds the channel corresponding to the pressure value that does not conform to the overall trend, so as to achieve the purpose of monitoring the state of the pressure scanning valve during the operation of the pressure scanning valve. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a flow chart of the steps of the pressure scanning valve state monitoring method proposed in the embodiment of the present application;

[0040] Figure 2 is a flowchart of the steps of executing a method for monitoring the state of a pressure scanning valve according to another embodiment of the present application;

[0041] Figure 3 It is a functional module diagram of a pressure scanning valve state monitoring device proposed in an embodiment of the present application;

[0042] Figure 4 It is a schematic diagram of the functional modules of another pressure scanning valve status monitoring device proposed in an embodiment of the present application. DETAILED DESCRIPTION

[0043] The present application is further described in detail below by specific embodiments in conjunction with the accompanying drawings. Wherein similar elements in different embodiments adopt associated similar element numbers. In the following embodiments, many detailed descriptions are intended to enable the present application to be better understood. However, those skilled in the art can easily recognize that some of the features can be omitted in different situations, or can be replaced by other elements, materials, and methods. In some cases, some operations related to the present application are not shown or described in the specification, in order to avoid the core part of the present application being overwhelmed by too much description, and for those skilled in the art, it is not necessary to describe these related operations in detail, and they can fully understand the related operations based on the description in the specification and the general technical knowledge in the art.

[0044] In addition, the features, operations or characteristics described in the specification can be combined in any appropriate manner to form various implementations. At the same time, the steps or actions in the method description can also be interchanged or adjusted in a manner that is obvious to those skilled in the art. Therefore, the various sequences in the specification and the drawings are only for the purpose of clearly describing a certain embodiment and are not meant to be a required sequence, unless otherwise specified that a certain sequence must be followed.

[0045] The serial numbers assigned to the components herein, such as "first", "second", etc., are only used to distinguish the objects described and do not have any order or technical meaning. The "connection" and "coupling" mentioned in this application, unless otherwise specified, include direct and indirect connections (couplings).

[0046] The pressure scanning valve state monitoring method proposed in the embodiment of the present application is applied to electronic equipment, and the electronic equipment may be an integrated computing device such as a computer, a server, etc. The electronic equipment is connected to the pressure scanning valve via a communication module.

[0047] The pressure scanning valve, data acquisition module, data acquisition preprocessing module, communication module and maintenance interface are connected through an efficient communication network. The data acquisition module, data acquisition preprocessing module, intelligent diagnosis module, predictive maintenance module and maintenance interface are integrated into the electronic device. The above modules are connected through the maintenance interface to form a real-time monitoring and maintenance platform. The data acquisition module retrieves the data collected by the pressure scanning valve and the sensor and uploads it to the electronic device. The electronic device processes and analyzes the data through the data acquisition preprocessing module, intelligent diagnosis module and predictive maintenance module. The system composed of the above modules automatically collects the data collected by the pressure scanning valve in real time during operation, monitors the working status of the pressure sensor in real time, and predicts faults based on the collected data. When an abnormal situation is detected, the system can issue an alarm and provide maintenance suggestions in time, thereby reducing manual intervention and improving maintenance efficiency. In addition, the predictive maintenance algorithm can predict the remaining life of the valve and the optimal maintenance time point based on historical data and real-time data, further optimize the maintenance plan, and reduce equipment downtime.

[0048] The pressure scanning valve state monitoring method proposed in the embodiment of the present application can automatically detect the state of the pressure scanning valve during its operation, ensuring that the maintenance process becomes more efficient and reliable, which not only reduces maintenance costs but also improves the operating stability and service life of the equipment. This is of great significance for improving the level of industrial automation and the overall performance of the fluid system.

[0049] Figure 1 is a flow chart of the steps of the pressure scanning valve state monitoring method proposed in the embodiment of the present application, such as Figure 1 As shown, the steps include:

[0050] S101: Calling the working data of the pressure scanning valve within a preset time period.

[0051] The working data is the pressure value collected by each detection channel in the pressure scanning valve for the position to be tested with a connection relationship at every unit time step.

[0052] The unit time step can be set according to actual conditions, such as the state of the pressure scanning valve. If the pressure scanning valve is in good condition and not seriously worn, a longer unit time step can be set. If the pressure scanning valve is seriously worn, a shorter unit time step can be set. For example, the unit time step can be 10 seconds, 20 seconds, 30 seconds, etc.

[0053] The preset time period refers to a preset time period for detecting the working status of the pressure scanning valve, which is set according to actual needs. For example, if the working data collected by the pressure scanning valve is required within 20 minutes, the preset time period is set to 20 minutes.

[0054] The pressure scanning valve has a plurality of detection channels, each of which is fixed to a different position to be detected, and simultaneously detects the fluid pressures received by the plurality of positions to be detected.

[0055] In one example, after the pressure scanning valve device is powered on, the pressure scanning valve measurement channel port is fixed to the position to be detected, the fluid system is started, the pressure scanning valve starts working, the pressure scanning valve collects pressure data of the fluid system in real time and works normally, the electronic device calls the working data of the pressure scanning valve during the working time period, analyzes the working time, and obtains the status of the pressure scanning valve.

[0056] The embodiment of the present application directly calls the working data of the pressure scanning valve through the electronic device for analysis. When the electronic device calls the pressure value collected by the pressure scanning valve, the pressure scanning valve is in a normal working state. Therefore, you can detect whether the pressure scanning valve has a fault and locate the position of the pressure scanning valve fault without stopping the operation of the pressure scanning valve.

[0057] S102: Calculate the distribution trend of multiple pressure values ​​corresponding to each detection channel.

[0058] Before the electronic device executes step S102, it may also perform filtering and noise reduction on the pressure value collected by the pressure scanning valve through data collection preprocessing to ensure data reliability and accuracy.

[0059] Before executing step S102, steps S100-S130 may also be executed;

[0060] S100: Calibrate the measurement noise covariance and process noise covariance of the pressure scanning valve under the current fluid.

[0061] S110: taking each time point of data collection of a single detection channel in the preset time period as the current time point, and calculating the model state covariance at the current time point after the process noise covariance is accumulated with the unit time step.

[0062] S120: Calculate the Kalman filter gain of the pressure scanning valve at the current time point according to the model state covariance and the measurement noise covariance at the current time point.

[0063] S130 corrects the pressure value collected by a single detection channel of the pressure scanning valve at the current time point based on the corrected pressure value corresponding to a time point before the current time point through the Kalman filter gain to obtain the corrected pressure value corresponding to the current time point.

[0064] The Kalman filter algorithm is used to filter and reduce noise on the collected data. It can update the state estimation in real time after each new data is collected. It is suitable for systems that continuously monitor pressure changes.

[0065] Each channel of the pressure scanning valve collects pressure values ​​respectively, which can be input into the Kalman filter model for filtering.

[0066] by It indicates that after the pressure value collected by a specific channel is input into the Kalman filter model 1-k times, the corrected pressure value output by the Kalman filter model at the kth moment, that is, the state of the specific channel of the pressure scanning valve at the kth moment, The calculation method can be expressed by formula (1):

[0067] (1)

[0068] in, It indicates the state of a specific channel of the pressure scanning valve at time k-1, and is also the corrected pressure value output by the Kalman filter model at time k-1. It indicates that the pressure value of a specific channel collected by the pressure scanning valve at time k. is the Kalman filter observation matrix, which reflects the relationship between the system state and the observation data. Since the pressure scanning valve is a direct measurement device, the observation data can represent the system state. Take 1.

[0069] represents the Kalman filter gain, which can be expressed as formula (2);

[0070] (2)

[0071] It represents the measurement noise covariance caused by the uncertainty of the measurement process and the sensor, and is obtained by calculating the collected data through calibration experiments on the pressure scanning valve in actual application scenarios. It represents the model state covariance of predicting the state of the pressure scanning valve at time k according to the state of the pressure scanning valve at time k-1.

[0072] It can be expressed by formula (3):

[0073] (3)

[0074] It represents the process noise covariance caused by the uncertainty of the system and the environment, and is obtained by calculating the collected data through calibration experiments on the scanning valve while excluding external interference as much as possible. Represents the model state covariance of the pressure scanning valve at time k-1.

[0075] Through the above steps, based on the process noise covariance and the process noise covariance corresponding to the previous moment, the process noise covariance of the current moment is predicted at each moment, and the Kalman filter gain is calculated according to the process noise covariance of the current moment and the measurement noise covariance. , through the Kalman filter gain , the state of the specific channel of the pressure scanning valve at the previous moment , and the actual pressure value collected by the specific channel of the pressure scanning valve at the current moment , predict the state of a specific channel of the pressure scanning valve at the current moment , calculate and obtain the corrected pressure value corresponding to the current time point.

[0076] S103: When the distribution trend of any specific channel does not match the change trend of the current fluid over time, the specific channel is determined to be an abnormal channel.

[0077] If the pressure scanning valve works normally, the change trend of the fluid at a certain position over time should be consistent with the change of the pressure value collected by the pressure scanning valve.

[0078] For example, in a stage where the fluid flow rate increases dramatically, the pressure values ​​collected at different times at a certain position corresponding to a channel should not tend to be consistent.

[0079] For example, under the influence of the same fluid, the changes in the pressure values ​​collected by the corresponding channels at different positions should be consistent. If the pressure values ​​collected by channels 1 to (n-1) change linearly over time, under normal circumstances, the pressure values ​​collected by channel n should also change linearly over time, so that the pressure values ​​collected by a specific channel can be judged to be abnormal by calculating the corresponding distribution trend of multiple pressure values ​​of a specific channel, by identifying whether the corresponding distribution trend of multiple pressure values ​​of a specific channel is consistent with the change trend of the current fluid over time, and by identifying whether the corresponding distribution trend of multiple pressure values ​​of a specific channel is consistent with the corresponding distribution trend of multiple pressure values ​​of other channels.

[0080] The above-mentioned pressure scanning valve state monitoring method is based on the fact that after the pressure scanning valve is highly concentrated, multiple channels simultaneously detect the pressure at different positions in the same fluid environment. Based on the characteristics of the impact of the fluid on the pressure at different positions in this scenario, the pressure value collected by the pressure scanning valve during operation is called to analyze the pressure value, and the distribution trend of multiple pressure values ​​collected by each channel of the pressure scanning valve is obtained. The corresponding distribution trend of multiple pressure values ​​of a specific channel is compared with the change trend of the current fluid over time to compare whether the multiple pressure values ​​of a specific channel are consistent with the pressure change of the environment under the current fluid impact, so as to determine whether the pressure value collected by a specific channel is abnormal, and thus detect whether the specific channel is abnormal. The above-mentioned method breaks the current common practice of detecting a single channel one by one, and instead finds the channel corresponding to the pressure value that does not conform to the overall trend, so as to achieve the purpose of monitoring the state of the pressure scanning valve during the operation of the pressure scanning valve.

[0081] In an embodiment of the present application, if a Kalman filter model is used to filter the pressure values ​​collected by the pressure scanning valve before executing step S102, the specific steps for executing step S102 may include: for a single detection channel, when obtaining the corrected pressure value corresponding to the final time point of the last collected data in the preset time period, calculating the distribution trend of the corresponding multiple corrected pressure values; the multiple corrected pressure values ​​correspond one-to-one to each time point of each collected data in the preset time period.

[0082] In another embodiment of the present application, step S102 may be specifically performed using the following sub-steps:

[0083] S1021: Calculate the value range within which the pressure value collected by the detection channel of the pressure scanning valve falls under the pressure distribution trend under normal conditions; the value range is related to the mean and standard deviation of the distribution trend.

[0084] In one example of this application, the current fluid change trend over time is a normal distribution. After the fluid field is relatively stable, the current fluid change trend over time is a normal distribution. The sliding window is used to calculate the mean of the pressure change. and standard deviation , updated in real time, calculates the range of pressure values ​​collected by the detection channel of the pressure scanning valve under normal conditions. , the data has a probability of 99.7% falling within the range of μ+3σ, so we can detect whether the pressure value falls within The pressure value collected by the channel is detected within the range of .

[0085] Based on the result obtained in step S1021, step S103 may be specifically executed by the following sub-steps: S1031: Determine whether the pressure value collected by the specific channel is within the value range, and determine that the specific channel is an abnormal channel.

[0086] In order to avoid the influence of collecting individual pressure values ​​on the overall accuracy, the embodiment of the present application proposes that the execution of S1031 can be performed through the following specific implementation process based on step S1031:

[0087] K11: Counting the number of abnormal pressure values ​​collected by the specific channel within the preset time period that do not fall within the value range;

[0088] K12: Provide an early warning of an abnormal channel according to the ratio of the abnormal number to the total number of the multiple pressure values.

[0089] If the ratio is greater than 0.03% and the ratio is less than or equal to 0.5%, generating an alarm message suggesting maintenance for the specific channel;

[0090] If the ratio is greater than 0.5%, an alarm message is generated for immediate maintenance of the specific channel.

[0091] In one example of this application, it is assumed that the threshold , the number of abnormalities of the multiple pressure values ​​collected by the specific channel that do not fall within the value range can be calculated by formula (4);

[0092] (4)

[0093] Indicates the number of abnormalities in which multiple pressure values ​​collected by a specific channel do not fall within the value range. Indicates the number of samples collected by a specific channel. pressure value. Greater than hour, The value of is 1, when Less than or equal to hour, The value of is 0. Indicates the total number of pressure values ​​collected by a specific channel.

[0094] Continue according to Determine the state of a specific channel of the pressure scanning valve; if 0≤ ≤0.03%, confirm that the pressure scanning valve is working properly. ≤0.5%, an alarm message is generated to recommend maintenance for the specific channel. , generating an alarm message for immediate maintenance of the specific channel.

[0095] Furthermore, a prompt message for a specific channel may be generated, and a prompt message for locating a detection position corresponding to the specific channel may be generated to instruct maintenance personnel to locate the position of the abnormal channel.

[0096] In one example of the present application, the pressure value collected by the pressure scanning valve from time 1 to time n is expressed as , It represents the pressure value collected by a channel of the pressure scanning valve at time 1. It indicates the pressure value collected by a channel of the pressure scanning valve at time 2, and so on;

[0097] After the pressure values ​​collected by the pressure scanning valve from time 1 to time n are filtered using the Kalman filter model, the pressure data obtained after filtering and noise reduction is . It represents the pressure data output after the pressure value collected by a channel of the pressure scanning valve at time 1 is input into the Kalman filter model. It represents the pressure data output after the pressure value collected by a certain channel of the pressure scanning valve at time 2 is input into the Kalman filter model, and so on.

[0098] The above-mentioned embodiment provides the change trend of the fluid over time when the fluid tends to be in a stable state, thereby providing that the pressure value collected by the channel of the pressure scanning valve under normal working conditions should obey the normal distribution. In order to further avoid mismeasurement caused by individual error values, a method of accumulating pressure values ​​that do not conform to the normal distribution is provided. When the pressure value that does not conform to the normal distribution exceeds a certain proportion, an alarm message is generated to recommend maintenance or immediate maintenance, and the maintenance personnel is notified immediately and accurately of the time to repair the pressure scanning valve. Through this intelligent maintenance system and method, the maintenance process of the pressure scanning valve becomes more efficient and reliable, which not only reduces the maintenance cost, but also improves the operating stability and service life of the equipment.

[0099] The embodiment of the present application also provides that the timing of detecting the entire channel of the pressure scanning valve can be further determined based on the number of abnormal channels. The method also includes: when the number of abnormal channels exceeds 10% of the total number of channels of the pressure scanning valve, generating an alarm message to detect all channels of the pressure scanning valve.

[0100] The embodiment of the present application also proposes another method for monitoring the status of a pressure scanning valve. Based on historical data and data collected by the pressure scanning valve under the current operating state, the data includes the main factors affecting the service life of the scanning valve, including time, vibration and temperature. A prediction model is established to predict the remaining service life and potential failure time of the pressure scanning valve, thereby providing maintenance personnel with a time reference for maintaining the pressure scanning valve.

[0101] Figure 2 FIG. 1 is a flowchart of another embodiment of the present invention for executing a method for monitoring the state of a pressure scanning valve. Figure 2 As shown, the steps include:

[0102] S201: Calling the working data of the pressure scanning valve within a preset time period.

[0103] S202: Calculate the distribution trend of multiple pressure values ​​corresponding to each detection channel.

[0104] S203: When the corresponding distribution trend of the multiple pressure values ​​of any specific channel does not match the change trend of the current fluid over time, the specific channel is determined to be an abnormal channel.

[0105] After the abnormal channel is determined, the service life of the pressure scanning valve is predicted based on the collected loss parameters.

[0106] S204: Obtain loss parameters that affect the life of the pressure scanning valve; the loss parameters include temperature, vibration amplitude in the current fluid, and working time in the current fluid.

[0107] The loss data may be collected through corresponding sensors, such as collecting temperature data through a temperature sensor.

[0108] S205: calibrating the attenuation length of each loss parameter that reduces the life of the pressure scanning valve per unit length increase under the influence of the current fluid;

[0109] For example, a large amount of data about the pressure scanning valve is collected through experiments and actual use process records. samples, and the collected data includes different temperatures recorded as , different vibration amplitudes are recorded as , different used time is recorded as , and the service life of the pressure scanning valve (lifespan / failure time) .

[0110] Use linear regression analysis to fit the model. The goal is to find a set of regression coefficients As the attenuation length, the error between the predicted service life and the actual service life Minimum. This is achieved through the least squares method:

[0111] (6)

[0112] It indicates the reference service life of the pressure scanning valve when all independent variables are constant, such as when the temperature is room temperature, the vibration amplitude and the time in use are zero. Indicates the effect of temperature on service life. A negative value indicates that the service life decreases with each unit increase in temperature. Unit length; Indicates the effect of vibration amplitude on service life, A negative value indicates that the service life decreases with each unit increase in vibration amplitude. Unit length; Indicates the effect of usage time on service life, indicating that the service life decreases with each unit increase in usage time. Unit length.

[0113] S206: Collect values ​​of loss parameters of the pressure scanning valve affected by the current fluid at the current time, and calculate the service life of the pressure scanning valve.

[0114] Determine the above regression coefficients After that, the linear regression model is further obtained:

[0115] ;

[0116] It represents the service life of the pressure scanning valve predicted by the linear regression model based on the temperature, vibration amplitude and working time.

[0117] The temperature collected at the current time, the vibration amplitude in the current fluid, and the working time in the current fluid are brought into the linear regression model to calculate the service life of the pressure scanning valve.

[0118] Figure 3 is a functional module diagram of the pressure scanning valve state monitoring device proposed in the embodiment of the present application, such as Figure 3 As shown, the pressure scanning valve state monitoring device includes:

[0119] The data acquisition module 31 is used to call the working data of the pressure scanning valve within a preset time period; the working data is the pressure value collected by each detection channel in the pressure scanning valve for the connected position to be tested at every unit time step.

[0120] The intelligent diagnosis module 32 is used to calculate the distribution trend of multiple pressure values ​​corresponding to each detection channel; when the corresponding distribution trend of multiple pressure values ​​of any specific channel does not match the change trend of the current fluid over time, the specific channel is determined to be an abnormal channel.

[0121] Figure 3 The implementation principle and technical effect of the pressure scanning valve state monitoring device provided in the illustrated embodiment may be further referred to the relevant description in the embodiment of the pressure scanning valve state monitoring method.

[0122] Optionally, the device further comprises:

[0123] A data preprocessing module, used for calibrating the measurement noise covariance and process noise covariance of the pressure scanning valve under the current fluid;

[0124] Taking each time point of data acquisition of a single detection channel in the preset time period as the current time point, calculating the model state covariance at the current time point after the process noise covariance is accumulated with the unit time step;

[0125] Calculate the Kalman filter gain of the pressure scanning valve at the current time point according to the model state covariance and the measurement noise covariance at the current time point;

[0126] Based on the corrected pressure value corresponding to a time point before the current time point, the pressure value collected by a single detection channel of the pressure scanning valve at the current time point is corrected by using the Kalman filter gain to obtain the corrected pressure value corresponding to the current time point;

[0127] The intelligent diagnosis module is specifically used to calculate the distribution trend of multiple corrected pressure values ​​corresponding to a single detection channel when obtaining the corrected pressure value corresponding to the final time point of the last data collected in the preset time period; the multiple corrected pressure values ​​correspond one-to-one to each time point of each data collection in the preset time period.

[0128] Optionally, the intelligent diagnosis module is specifically used to calculate the value range within which the pressure value collected by the detection channel of the pressure scanning valve falls under the pressure distribution trend under normal conditions; the value range is related to the mean and standard deviation of the distribution trend;

[0129] When the distribution trend of any specific channel does not match the change trend of the current fluid over time, the specific channel is determined to be an abnormal channel, including:

[0130] According to whether the pressure value collected by the specific channel is within the value range, the specific channel is determined to be an abnormal channel.

[0131] Optionally, the intelligent diagnosis module is specifically used to determine that any specific channel is an abnormal channel when the distribution trend of the specific channel does not match the change trend of the current fluid over time, including:

[0132] Counting the number of abnormal pressure values ​​collected by the specific channel within the preset time period that do not fall within the value range;

[0133] According to the ratio of the abnormal number to the total number of the multiple pressure values, an early warning of the abnormal channel is performed.

[0134] Optionally, the intelligent diagnosis module is specifically used to provide an early warning of an abnormal channel according to the ratio of the number of abnormalities to the total number of the multiple pressure values, including:

[0135] If the ratio is greater than 0.03% and the ratio is less than or equal to 0.5%, generating an alarm message suggesting maintenance for the specific channel;

[0136] If the ratio is greater than 0.5%, an alarm message is generated for immediate maintenance of the specific channel.

[0137] Optionally, the intelligent diagnosis module is further used to generate an alarm message for detecting all channels of the pressure scanning valve when the number of the abnormal channels exceeds 10% of the total number of channels of the pressure scanning valve.

[0138] Figure 4 is a functional module diagram of another pressure scanning valve state monitoring device proposed in an embodiment of the present application, such as Figure 4 As shown, the device also includes a predictive maintenance module for obtaining loss parameters that affect the life of the pressure scanning valve; the loss parameters include temperature, vibration amplitude in the current fluid, and working time in the current fluid; the data acquisition module is connected to the pressure scanning valve;

[0139] Calibrate the attenuation length of each loss parameter that reduces the life of the pressure scanning valve per unit length increase under the influence of the current fluid;

[0140] The values ​​of the loss parameters of the pressure scanning valve affected by the current fluid at the current time are collected, and the service life of the pressure scanning valve is calculated.

[0141] Regarding the various modules / units included in the various devices described in the above embodiments, they can be software modules / units, or hardware modules / units, or they can be partially software modules / units and partially hardware modules / units. For example, for various devices applied to or integrated in a chip, the various modules / units included therein can all be implemented in the form of hardware such as circuits, or at least some of the modules / units can be implemented in the form of software programs, which run on a processor integrated inside the chip, and the remaining modules / units can be implemented in the form of hardware such as circuits; for various devices applied to or integrated in a chip module, the various modules / units included therein can all be implemented in the form of hardware such as circuits, and different modules / units can be located in the same component of the chip module (such as a chip, circuit module, etc.) or in different components, or at least some of the modules / units can be implemented in the form of software programs. The software program may be implemented in the form of a program, which runs on a processor integrated in the chip module, and the remaining modules / units may be implemented in the form of hardware such as circuits; for each device applied to or integrated in the electronic terminal device, each module / unit contained therein may be implemented in the form of hardware such as circuits, and different modules / units may be located in the same component (for example, a chip, a circuit module, etc.) or in different components in the electronic terminal device, or at least some modules / units may be implemented in the form of a software program, which runs on a processor integrated in the electronic terminal device, and the remaining (if any) modules / units may be implemented in the form of hardware such as circuits.

[0142] In one embodiment of the present application, a computer-readable storage medium is provided, on which a program is stored. The stored program includes a method that can be loaded by a processor and process any of the above embodiments.

[0143] Those skilled in the art will appreciate that all or part of the functions of the various methods in the above-mentioned embodiments can be implemented by hardware or by computer programs. When all or part of the functions in the above-mentioned embodiments are implemented by computer programs, the program can be stored in a computer-readable storage medium, and the storage medium can include: read-only memory, random access memory, disk, optical disk, hard disk, etc., and the program is executed by a computer to implement the above-mentioned functions. For example, the program is stored in the memory of the device, and when the program in the memory is executed by the processor, all or part of the above-mentioned functions can be implemented. In addition, when all or part of the functions in the above-mentioned embodiments are implemented by computer programs, the program can also be stored in a storage medium such as a server, another computer, disk, optical disk, flash disk or mobile hard disk, and can be downloaded or copied and saved in the memory of the local device, or the system of the local device is updated, and when the program in the memory is executed by the processor, all or part of the functions in the above-mentioned embodiments can be implemented.

[0144] The above specific examples are used to illustrate the present application, which is only used to help understand the present application and is not intended to limit the present application. For technicians in the technical field to which the present application belongs, they can also make some simple deductions, deformations or substitutions based on the ideas of the present application.

Claims

1. A method for monitoring the state of a pressure scanning valve, characterized in that: The method comprises: Calling the working data of the pressure scanning valve within a preset time period; the working data is the pressure value collected by each detection channel in the pressure scanning valve for the position to be tested with a connection relationship at every unit time step; Calculate the distribution trend of multiple pressure values ​​corresponding to each detection channel; When the corresponding distribution trend of multiple pressure values ​​of any specific channel does not match the change trend of the current fluid over time, the specific channel is determined to be an abnormal channel; Calculate the distribution trend of multiple pressure values ​​corresponding to each detection channel, including: Calculating a value range within which the pressure values ​​collected by the detection channel of the pressure scanning valve fall under a normal state under the distribution trend of the plurality of pressure values; the value range is related to the mean and standard deviation of the distribution trend; When the distribution trend of any specific channel does not match the change trend of the current fluid over time, the specific channel is determined to be an abnormal channel, including: Determining whether the specific channel is an abnormal channel according to whether the pressure value collected by the specific channel falls within the value range; When the distribution trend of any specific channel does not match the change trend of the current fluid over time, the specific channel is determined to be an abnormal channel, including: Counting the number of abnormal pressure values ​​collected by the specific channel within the preset time period that do not fall within the value range; According to the ratio of the abnormal number to the total number of the multiple pressure values, an early warning of the abnormal channel is performed.

2. The method according to claim 1, characterized in that Before calculating the distribution trend of multiple pressure values ​​corresponding to each detection channel, the method further includes: Calibrate the measurement noise covariance and process noise covariance of the pressure scanning valve under the current fluid; Taking each time point of data acquisition of a single detection channel in the preset time period as the current time point, calculating the model state covariance at the current time point after the process noise covariance is accumulated with the unit time step; Calculate the Kalman filter gain of the pressure scanning valve at the current time point according to the model state covariance and the measurement noise covariance at the current time point; Based on the corrected pressure value corresponding to a time point before the current time point, the pressure value collected by a single detection channel of the pressure scanning valve at the current time point is corrected by using the Kalman filter gain to obtain the corrected pressure value corresponding to the current time point; Calculate the distribution trend of multiple pressure values ​​corresponding to each detection channel, including: For a single detection channel, when obtaining the corrected pressure value corresponding to the final time point of the last collected data in the preset time period, the distribution trend of the corresponding multiple corrected pressure values ​​is calculated; the multiple corrected pressure values ​​correspond one-to-one to each time point of each collected data in the preset time period.

3. The method according to claim 1, characterized in that According to the ratio of the number of abnormalities to the total number of the multiple pressure values, an early warning of an abnormal channel is performed, including: If the ratio is greater than 0.03% and the ratio is less than or equal to 0.5%, generating an alarm message suggesting maintenance for the specific channel; If the ratio is greater than 0.5%, an alarm message is generated for immediate maintenance of the specific channel.

4. The method according to claim 1, characterized in that: After determining that the specific channel is an abnormal channel, the method further includes: When the number of the abnormal channels exceeds 10% of the total number of channels of the pressure scanning valve, an alarm message for detecting all channels of the pressure scanning valve is generated.

5. The method according to any one of claims 1 to 4, characterized in that: When the current fluid is a stable flow field, the change trend of the current fluid over time is a normal distribution.

6. The method according to claim 1, characterized in that After determining that the specific channel is an abnormal channel, the method further includes: Obtaining loss parameters that affect the life of the pressure scanning valve; the loss parameters include temperature, vibration amplitude under the current fluid, and working time in the current fluid; Calibrate the attenuation length of each loss parameter that reduces the life of the pressure scanning valve per unit length increase under the influence of the current fluid; The values ​​of the loss parameters of the pressure scanning valve affected by the current fluid at the current time are collected, and the service life of the pressure scanning valve is calculated.

7. A pressure scanning valve state monitoring device using a pressure scanning valve state monitoring method as claimed in any one of claims 1 to 6, characterized in that: Set in an electronic device, the device includes: A data acquisition module, used to call the working data of the pressure scanning valve within a preset time period; the working data is the pressure value collected by each detection channel in the pressure scanning valve for the position to be tested with a connection relationship at every unit time step; The intelligent diagnosis module is used to calculate the distribution trend of multiple pressure values ​​corresponding to each detection channel; when the corresponding distribution trend of multiple pressure values ​​of any specific channel does not match the change trend of the current fluid over time, the specific channel is determined to be an abnormal channel.

8. A computing device, characterized in that The method comprises at least one processor and at least one memory connected to the processor; the memory stores program instructions for being executed by the processor, and the processor calls the program instructions to execute any one of the methods according to claims 1 to 6.

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