A pneumatic angle seat valve system

Abstract

This invention relates to the field of angle seat valve technology and discloses a pneumatic angle seat valve system. The system includes: a valve body, a cylinder, a control system, and a flow detection device. A valve body connector is laterally mounted on the upper end of the valve body, and a cylinder is connected to the upper end of the valve body connector. The flow detection device is used to detect flow data within the valve body. The control system includes a processing unit, a data acquisition unit, a judgment unit, and an early warning unit. The processing unit controls the cylinder to move the valve core, thereby controlling the opening and closing of the valve core and the shut-off port, and adjusting the flow rate. The data acquisition unit acquires flow data within the valve body. The judgment unit analyzes the flow data for abnormalities to determine if any flow data anomalies exist. The early warning unit determines the warning type based on the abnormal flow data. This application solves the problems of outdated control methods, limited sealing performance, and inconvenient maintenance in current pneumatic angle seat valves.

Description

Technical Field

[0001] This invention relates to the field of angle seat valve technology, and more specifically, to a pneumatic angle seat valve system. Background Technology

[0002] Pneumatic angle seat valves are a common type of automatic control valve, mainly composed of a pneumatic actuator and a valve body. They are widely used in the flow control of media such as steam, liquids, and gases. Their working principle is as follows: the pneumatic actuator drives the valve stem to move up and down, thereby opening or closing the valve. Due to their advantages such as rapid response, frequent opening and closing, high temperature resistance, corrosion resistance, and strong flow capacity, pneumatic angle seat valves are widely used in food processing, pharmaceuticals, chemicals, water treatment, and automated production lines.

[0003] Currently, the control of pneumatic angle seat valves mainly relies on manual operation on-site, which cannot meet the switching requirements of continuous and high-speed production. Under frequent opening and closing conditions, the valve core and sealing components are prone to wear, leading to an increased risk of leakage. The control method is outdated and cannot achieve real-time monitoring and closed-loop control of parameters such as flow and pressure. The sealing performance is limited, and long-term operation is prone to leakage, affecting the stable operation of the system. It mainly relies on manual inspection, which is inconvenient for inspection and maintenance and cannot accurately determine the cause of damage.

[0004] Therefore, it is necessary to design a pneumatic angle seat valve system to solve the problems existing in the current technology. Summary of the Invention

[0005] In view of this, the present invention proposes a pneumatic angle seat valve system, which aims to solve the problems of outdated control methods, limited sealing performance, and inconvenient maintenance.

[0006] This invention proposes a pneumatic angle seat valve system, comprising:

[0007] The system comprises a valve body, a cylinder, a control system, and a flow detection device. The valve body contains a valve core and a shut-off port. A valve body connector is laterally mounted on the upper end of the valve body, and a cylinder is connected to the upper end of the valve body connector. The flow detection device is used to detect flow data within the valve body. The control system includes a processing unit, a data acquisition unit, a judgment unit, and an early warning unit.

[0008] The processing unit is configured to control the cylinder to move the valve core when the flow rate is manually adjusted, thereby controlling the opening and closing of the valve core and the shut-off port to control the flow rate adjustment.

[0009] The acquisition unit is configured to acquire the flow data within the valve body;

[0010] The judgment unit is configured to perform abnormal data analysis on the traffic data and determine whether there is any abnormality in the traffic data based on the analysis results.

[0011] The early warning unit is configured to determine the early warning type based on the abnormality of the traffic data when the traffic data is determined to be abnormal.

[0012] Furthermore, a valve stem is inserted through the inner side of the valve body connector, the lower end of the valve stem is inserted into the valve core and connected to the valve core, a valve core diaphragm is sleeved on the outer side of the valve core, the inner side of the valve core diaphragm is connected to the outer side of the valve core, and the outer side of the valve core diaphragm is connected to the connection between the valve body and the valve body connector; a valve core gasket is installed at the lower end of the valve core.

[0013] Furthermore, the upper end of the valve body connector is connected to the cylinder connector, the valve stem extends into the cylinder and connects to the piston inside the cylinder, and the piston is sleeved on the valve stem; a spring is press-fitted between the upper end of the piston and the inside of the cylinder; an indicator rod is fixedly connected to the upper end of the valve stem; and a viewing cover is provided at the upper end of the cylinder.

[0014] Furthermore, the cylinder is provided with an upper vent and a lower vent.

[0015] Furthermore, the processing unit is configured to control the cylinder to move the valve core when the flow rate is manually adjusted, thereby controlling the opening and closing size of the valve core and the shut-off port, and controlling the flow rate adjustment, including:

[0016] When manually adjusting the flow rate, a feature set is established by inputting flow rate data features. The feature set is then integrated with the historical feature set in the historical adjustment set to form a clustering set. The historical adjustment set includes several historical feature sets and several historical adjustment coefficients, and each historical feature set corresponds to a historical adjustment coefficient.

[0017] All sets to be clustered are processed, and the cylinder is controlled to work based on the clustering results. The operation of the cylinder drives the flow rate adjustment.

[0018] Furthermore, all sets to be clustered are processed, and the operation of the cylinder is controlled based on the clustering results. When the cylinder operates, it drives the flow rate adjustment, including:

[0019] Normalize each data point in the set to be clustered;

[0020] S1: Initialize K centroids in the set to be clustered, and assign the remaining feature sets to the nearest centroids to form K clusters;

[0021] S2: Recalculate the centroid of each cluster;

[0022] S3: Repeat S1 and S2 until the centroid no longer changes; when the cluster containing the feature set does not contain the historical feature set, select the historical adjustment coefficient corresponding to the maximum similarity between the feature set and the historical feature set as the initial adjustment coefficient;

[0023] When the cluster containing the feature set contains a historical feature set, the average value of the historical adjustment coefficients corresponding to all the historical feature sets is selected as the adjustment coefficient. The traffic is adjusted according to the adjustment coefficient and the system operates with the adjusted traffic.

[0024] Furthermore, when selecting the historical adjustment coefficient corresponding to the maximum similarity between the feature set and the historical feature set as the initial adjustment coefficient, the following is also included:

[0025] The average value, maximum value, and minimum value of traffic data are obtained based on the feature set, and the traffic data difference is determined. The traffic data difference is the difference between the maximum value and the average value of traffic data, and the difference between the minimum value and the average value of traffic data.

[0026] When the difference in the flow data corresponding to the largest absolute value is positive, a first correction coefficient is determined to correct the initial adjustment coefficient, and the flow is adjusted with the corrected adjustment coefficient and the system operates with the adjusted flow. The first correction coefficient is inversely proportional to the difference in the flow data with the largest absolute value, and the value range of the first correction coefficient is (0.8, 1).

[0027] When the difference in the flow data corresponding to the largest absolute value is negative, a second correction coefficient is determined to correct the initial adjustment coefficient, and the flow is adjusted with the corrected adjustment coefficient and the system operates with the adjusted flow. The second correction coefficient is inversely proportional to the difference in the flow data with the largest absolute value, and the value range of the second correction coefficient is (1, 1.2).

[0028] Furthermore, the acquisition unit is configured to acquire the flow data within the valve body, including:

[0029] Choose an appropriate sliding window size N, set the sliding step size to x, and the sliding window moves forward by x each time starting from the current moment;

[0030] Extract the mean, maximum, and minimum values ​​of the traffic data in the sliding window; calculate the standard deviation of the traffic data in the sliding window;

[0031] Furthermore, the judgment unit is configured to perform abnormal data analysis on the traffic data, and determine whether there is any abnormality in the traffic data based on the analysis results, including:

[0032] When the standard deviation of the traffic data in the sliding window is zero, it is determined that there is an anomaly in the traffic data;

[0033] When the standard deviation of the traffic data in the sliding window is not zero, the standard deviation of the traffic data in the current sliding window is compared with the standard deviation threshold; when the standard deviation of the traffic data in the sliding window is greater than the standard deviation threshold, it is determined that the traffic data in the sliding window is abnormal; when the standard deviation of the traffic data in the sliding window is less than or equal to the standard deviation threshold, it is determined that the traffic data in the sliding window is not abnormal.

[0034] Furthermore, when the traffic data is determined to be abnormal, the warning type is determined based on the abnormal traffic data, including:

[0035] When the standard deviation of the flow data is zero, the warning type is determined to be an abnormality of the flow detection device.

[0036] When the standard deviation of the flow data is not zero, the warning type is determined to be an angle seat valve malfunction.

[0037] Compared with the prior art, the beneficial effects of this invention are as follows: The valve core diaphragm achieves absolute sealing at the top of the valve body, eliminating the possibility of liquid leakage from the top of the valve body, thus preventing cylinder damage caused by leakage; the valve core gasket improves the sealing performance of the shut-off port when it is fully closed, reducing the risk of leakage when the shut-off port is fully closed; when the flow rate in the valve body is controlled to zero, the cylinder stops working, and the shut-off port is fully closed by the pressure spring, keeping the shut-off port in a closed state, reducing energy consumption and saving operating costs; the detachable sight cover facilitates cylinder inspection and maintenance; the flow rate in the valve body can be temporarily controlled by using an indicator rod, avoiding the inability to control the flow rate in the valve body due to cylinder failure, thereby avoiding economic losses; the flow rate in the valve body is controlled by the processing unit, eliminating the need for manual control, making the control of the angle seat valve switch more convenient; the flow rate control by the processing unit is more precise than manual control, resulting in more refined flow control; the acquisition unit, judgment unit, and early warning unit collect flow data detected by the flow detection device, and when a fault occurs, they can accurately determine the fault location and cause; faults can be cleared more quickly and promptly, making maintenance more convenient. Attached Figure Description

[0038] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0039] Figure 1 This is a structural block diagram of a pneumatic angle seat valve system provided in an embodiment of the present invention;

[0040] Figure 2 This is a schematic diagram of the internal structure of the pneumatic angle seat valve provided in an embodiment of the present invention;

[0041] Figure 3 This is a schematic diagram of the external structure of the pneumatic angle seat valve provided in an embodiment of the present invention.

[0042] The components are: 1. Valve body; 11. Shut-off port; 12. Valve core gasket; 13. Valve core; 14. Valve core diaphragm; 15. Valve body connector; 16. Valve stem; 2. Cylinder; 21. Cylinder connector; 22. Piston; 23. Indicator rod; 24. Spring; 25. Sight cover; 26. Upper vent; 27. Lower vent. Detailed Implementation

[0043] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, embodiments and features in the embodiments of the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0044] In some embodiments of this application, see Figure 1-3 As shown, a pneumatic angle seat valve system includes: a valve body 1, a cylinder 2, a control system, and a flow detection device; the valve body 1 is provided with a valve core 13 and a shut-off port 11, and a valve body connector 15 is installed laterally on the upper end of the valve body 1, with the cylinder 2 connected to the upper end of the valve body connector 15; the flow detection device is used to detect the flow data inside the valve body; the control system includes a processing unit, a data acquisition unit, a judgment unit, and an early warning unit;

[0045] The processing unit is configured to control the cylinder 2 to move the valve core 13 when the flow rate is manually adjusted, thereby controlling the opening and closing size of the valve core 13 and the stop port 11 and controlling the flow rate adjustment.

[0046] The acquisition unit is configured to acquire flow data within valve body 1;

[0047] The judgment unit is configured to perform abnormal data analysis on traffic data and determine whether there are any abnormal traffic data based on the analysis results.

[0048] The early warning unit determines the warning type based on the abnormality of the traffic data when it is determined that the traffic data is abnormal.

[0049] Specifically, the pneumatic angle seat valve system includes a valve body 1, a cylinder 2, a control system, and a flow detection device. When manually adjusting the flow rate, the flow data is input into the control system. The control system processing unit analyzes and processes the flow data, and controls the operation of cylinder 2 based on the analyzed flow data. The operation of cylinder 2 opens and closes the valve core 13 and the shut-off port 11, thereby controlling the flow rate within the valve body 1. When the angle seat valve is working, the acquisition unit collects the flow data within the valve body 1 in real time through the flow detection device and transmits the collected flow data to the judgment unit. The judgment unit analyzes and processes the collected flow data and determines whether there is any flow data abnormality within the valve body 1 based on the analysis results. If there is an abnormal flow data, the early warning unit determines the type of flow data abnormality and issues an early warning, requiring manual intervention.

[0050] Understandably, by controlling the flow rate within valve body 1 through the processing unit, the need for manual control is eliminated, making the switching of the angle seat valve more convenient. The processing unit's control of the flow rate within valve body 1 is more precise and refined compared to manual control. The acquisition unit, judgment unit, and early warning unit collect flow data detected by the flow detection device. When a fault occurs, they can accurately determine the location and cause of the fault; enabling faster and more timely fault clearing and more convenient maintenance.

[0051] In some embodiments of this application, a valve stem 16 is inserted through the inner side of the valve body connector 15, the lower end of the valve stem 16 is inserted into the valve core 13 and connected to the valve core 13, a valve core diaphragm 14 is sleeved on the outer side of the valve core 13, the inner side of the valve core diaphragm 14 is connected to the outer side of the valve core 13, and the outer side of the valve core diaphragm 14 is connected to the connection between the valve body 1 and the valve body connector 15; a valve core gasket 12 is installed at the lower end of the valve core 13.

[0052] Specifically, the valve body 1 is connected to the cylinder 2 via the valve body connector 15, so that the two ends of the valve stem 16 are respectively located in the valve body 1 and the cylinder 2. The movement of the cylinder 2 drives the valve stem 16 to control the flow rate within the valve body 1. Specifically, when the cylinder 2 controls the valve stem 16 to move downwards, the valve stem 16 drives the fixedly connected valve core 13 downwards. The valve core 13 moves towards the stop port 11, reducing the opening degree between the valve core and the stop port 11, thus decreasing the flow rate within the valve body 1. When the valve core 13 completely abuts against the stop port 11, the stop port 11 is completely closed, the opening degree is zero, and the flow rate within the valve body 1 decreases to zero. A valve core diaphragm 14 is fitted over the valve core 13. The valve core diaphragm 14 seals the valve body 1, preventing liquid from flowing into the cylinder through the gap between the valve stem 16 and the valve body connector 15, thereby avoiding damage to the cylinder due to leakage. The inner side of the valve core diaphragm 14 is connected to the outer side of the valve core 13, and the outer side of the valve core diaphragm 14 is connected to the connection between the valve body 1 and the valve body connector 15. The valve core diaphragm 14 is a flexible component and is large enough. When the side of the valve core diaphragm 14 connected to the valve core 13 moves up and down with the valve core 13, neither the inner nor outer side of the valve core diaphragm 14 will detach from its connection position, achieving absolute sealing within the valve body 1. A valve core gasket 12 is installed at the lower end of the valve core 13, which can improve the sealing performance of the stop port 11 when it is fully closed and the opening degree is zero, preventing leakage when the stop port 11 is fully closed.

[0053] Understandably, by setting a soft and sufficiently large valve core diaphragm 14 and fixing the inner and outer sides of the valve core diaphragm 14 respectively, an absolute seal is achieved at the upper end of the valve body 1, eliminating the possibility of liquid leakage from the upper end of the valve body 1, thereby preventing leakage from causing damage to the cylinder. The valve core gasket 12 installed at the lower end of the valve core 13 improves the sealing performance of the stop port 11 when it is fully closed, reducing the risk of leakage when the stop port 11 is fully closed.

[0054] In some embodiments of this application, the upper end of the valve body connector 15 is connected to the cylinder connector 21, the valve stem 16 extends into the cylinder 2 and is connected to the piston 22 inside the cylinder 2, and the piston 22 is sleeved on the valve stem 16; a spring 24 is press-fitted between the upper end of the piston 22 and the inside of the cylinder 2; an indicator rod 23 is fixedly connected to the upper end of the valve stem 16; and a viewing cover 25 is provided on the upper end of the cylinder 2.

[0055] Specifically, the valve body 1 is connected to the cylinder 2 via the valve body connector 15 on the valve body 1 and the cylinder connector 21 inside the cylinder. The valve stem 16 extends into the valve body 1 and cylinder 2 at both ends, respectively, and connects to corresponding workpieces within the valve body 1 and cylinder 2, thus controlling the flow rate within the valve body 1 by controlling the movement of the cylinder 2. Specifically, when the piston 22 moves up and down along the inner wall of the cylinder 2, the piston 22 drives the valve stem 16, which is fitted onto it, to move up and down. This movement of the valve stem 16 controls the flow rate within the valve body; the specific control process is described in the above embodiment. A spring 24 is press-fitted between the upper end of the piston 22 and the inside of the cylinder 2. The two ends of the spring 24 are fixed to the upper end of the piston 22 and the inner wall of the cylinder, respectively. When the shut-off port needs to be completely closed, the cylinder can be stopped. Because the spring 24 is press-fitted, it compresses the piston 22, causing it to move downwards along the inner wall of the cylinder 2. The piston 22 then drives the valve stem 16 downwards until the shut-off port is completely closed. A sight glass 25 is detachably mounted on the upper end of cylinder 2. When the cylinder malfunctions or requires manual maintenance, the sight glass 25 can be removed to inspect the inside of the cylinder. An indicator rod 23 is fixedly connected to the upper end of valve stem 16. When the cylinder malfunctions or requires manual maintenance, after removing the sight glass 25, the valve stem 16 can be temporarily controlled by controlling the indicator rod 23 to achieve temporary control of the flow rate.

[0056] Understandably, when it is necessary to control the flow rate within valve body 1 to zero, the cylinder can be stopped. The spring 24, installed between the upper end of piston 22 and the inside of cylinder 2, completely closes the shut-off port 11, keeping it closed. This reduces energy consumption when the flow rate within valve body 1 is zero, saving operating costs. The removable sight cover 25 facilitates inspection and maintenance of cylinder 2. When cylinder 2 malfunctions, the valve stem 16 can be temporarily controlled manually using the indicator rod 23, thereby temporarily controlling the flow rate within valve body 1. This prevents the flow rate within valve body 1 from becoming uncontrollable due to cylinder 2 malfunction, thus avoiding economic losses.

[0057] In some embodiments of this application, the cylinder 2 is provided with an upper vent 26 and a lower vent 27.

[0058] Specifically, the upper vent 26 is located on the cylinder sidewall and above the piston 22, while the lower vent 27 is located on the cylinder sidewall and below the piston 22. When the piston 22 moves up and down along the inner wall of the cylinder 2, reaching either the upper or lower limit position, the positional relationship between the upper and lower vents 26 and the piston remains unaffected. When a decrease in flow rate is required within the valve body 1, gas enters through the upper vent 26 and exits through the lower vent 27. This increases the pressure in the cylinder 2 above the piston 22 and decreases the pressure in the cylinder 2 below the piston 22, causing the piston 22 to move downwards and thus reducing the flow rate. Conversely, when an increase in flow rate is required within the valve body 1, gas exits through the upper vent 26 and enters through the lower vent 27. This decreases the pressure in the cylinder 2 above the piston 22 and increases the pressure in the cylinder 2 below the piston 22, causing the piston 22 to move upwards and thus reducing the flow rate. The specific control process is detailed in the above embodiment.

[0059] In some embodiments of this application, the processing unit is configured to control the cylinder to move the valve core when the flow rate is manually adjusted, thereby controlling the opening and closing size of the valve core and the shut-off port, and controlling the flow rate adjustment, including:

[0060] When manually adjusting the flow rate, the features of the input flow rate data are used to establish a feature set. The feature set is then integrated with the historical feature set in the historical adjustment set to form a clustering set. The historical adjustment set includes several historical feature sets and several historical adjustment coefficients, and each historical feature set corresponds to a historical adjustment coefficient.

[0061] All sets to be clustered are processed, and the operation of the cylinder is controlled according to the clustering results. The operation of the cylinder drives the flow rate adjustment.

[0062] Specifically, when manually adjusting traffic flow, parameters representing the characteristics of the input traffic data form a feature set. These parameters include the mean, maximum, and minimum traffic flow values. Based on cluster analysis results, the traffic flow adjustment method is determined. If the traffic data characteristics are relatively consistent, historical data is used as a reference to determine the current adjustment method. If new or unknown traffic data characteristics emerge, a new adjustment method is developed based on the current feature set.

[0063] Understandably, clustering algorithms can intelligently identify traffic data characteristics and implement targeted adjustments based on these characteristics. This improves the precision of traffic control and avoids the limitations of human intervention and fixed rules. By adjusting traffic through cluster analysis and determining the adjustment scheme, high-precision traffic control can be achieved while ensuring the accuracy of traffic adjustments.

[0064] In some embodiments of this application, all sets to be clustered are processed, and the operation of the cylinder is controlled according to the clustering results. When the cylinder operates, it drives the flow rate adjustment, including:

[0065] Normalize each data point in the cluster set;

[0066] S1: Initialize K centroids in the set to be clustered, and assign the remaining feature sets to the nearest centroids to form K clusters;

[0067] S2: Recalculate the centroid of each cluster;

[0068] S3: Repeat S1 and S2 until the centroid no longer changes;

[0069] When the cluster containing the feature set does not contain the historical feature set, the historical adjustment coefficient corresponding to the maximum similarity between the feature set and the historical feature set is selected as the initial adjustment coefficient.

[0070] When the cluster containing the feature set contains a historical feature set, the average of the historical adjustment coefficients corresponding to all the historical feature sets is selected as the adjustment coefficient. The traffic is adjusted according to the adjustment coefficient and the system runs with the adjusted traffic.

[0071] Specifically, all traffic data feature sets are clustered into multiple clusters. The clustering process continuously adjusts the centroid positions until all data points are classified into the correct clusters. Each cluster represents a type of anomaly. By comparing the feature set data with historical feature sets, it is determined whether traffic adjustments are needed and a new traffic adjustment method is identified. When all feature set data are found to belong to the same cluster, it is determined that the cluster containing the feature set contains historical feature sets, and traffic adjustments are then optimized. If the feature set data exists in multiple clusters, it indicates that the cluster containing the feature set does not contain historical feature sets, and more refined traffic adjustments are required.

[0072] In some embodiments of this application, when selecting the historical adjustment coefficient corresponding to the maximum similarity between the feature set and the historical feature set as the initial adjustment coefficient, the method further includes:

[0073] Based on the feature set, obtain the mean, maximum, and minimum values ​​of traffic data, and determine the traffic data difference. The traffic data difference is the difference between the maximum and mean values ​​of traffic data, and the difference between the minimum and mean values ​​of traffic data.

[0074] When the difference in traffic data corresponding to the largest absolute value is positive, the first correction coefficient is determined to correct the initial adjustment coefficient, and the traffic is adjusted with the corrected adjustment coefficient and the operation is carried out with the adjusted traffic. The first correction coefficient is inversely proportional to the difference in traffic data with the largest absolute value, and the value range of the first correction coefficient is (0.8, 1).

[0075] When the difference in flow data corresponding to the largest absolute value is negative, the second correction coefficient is determined to correct the initial adjustment coefficient, and the flow is adjusted with the corrected adjustment coefficient and the flow is operated with the adjusted flow. The second correction coefficient is inversely proportional to the difference in flow data with the largest absolute value, and the range of the second correction coefficient is (1, 1.2).

[0076] Specifically, after obtaining the mean, maximum, and minimum traffic flow values, the traffic flow difference is calculated. This difference is the difference between the maximum and mean traffic flow values, and the difference between the minimum and mean traffic flow values. When the initial adjustment coefficient needs to be corrected, the traffic flow difference corresponding to the largest absolute value is selected, and the range of the correction coefficient is determined based on the sign of the selected difference. For example: when the difference between the maximum and mean traffic flow values ​​is 8, and the difference between the minimum and mean traffic flow values ​​is -5, the difference between the maximum and mean traffic flow values ​​is selected as 8. When the difference between the maximum and mean traffic flow values ​​is 3, and the difference between the minimum and mean traffic flow values ​​is -7, the difference between the minimum and mean traffic flow values ​​is selected as -7. If the flow rate difference is positive, it indicates that the maximum flow rate differs significantly from the average flow rate, meaning the flow rate is relatively high. The initial adjustment coefficient needs to be reduced to allow air to enter through the upper vent and exit through the lower vent. This causes the piston to move downwards, which in turn moves the valve stem downwards, thus moving the valve core downwards. This reduces the opening and closing of the valve core and the shut-off port, resulting in a lower flow rate. Therefore, the correction coefficient ranges between (0.8, 1) and is inversely proportional to the temperature difference. If the flow rate difference is negative, it indicates that the minimum flow rate differs significantly from the average flow rate, meaning the flow rate is relatively low. The initial adjustment coefficient needs to be increased to allow air to exit through the upper vent and enter through the lower vent. This causes the piston to move upwards, which in turn moves the valve stem upwards, thus moving the valve core upwards. This increases the opening and closing of the valve core and the shut-off port, resulting in a higher flow rate. Therefore, the correction coefficient ranges between (1, 1.2) and is inversely proportional to the temperature difference to achieve more precise optimization. Because the flow rate fluctuates and is not constant, there is no case where the flow rate difference is zero when determining the initial adjustment coefficient.

[0077] Understandably, cluster analysis is used to select the most suitable adjustment coefficient to adjust traffic data, further optimizing the traffic adjustment scheme and making traffic control adjustments more intelligent and dynamic.

[0078] In some embodiments of this application, the acquisition unit is configured to acquire flow data within the valve body, including:

[0079] Choose an appropriate sliding window size N, set the sliding step size to x, and move the sliding window forward by x each time starting from the current moment;

[0080] Extract the mean, maximum, and minimum values ​​of the flow data in the sliding window; calculate the standard deviation of the flow data in the sliding window.

[0081] Understandably, when it is necessary to determine whether the flow data is abnormal, the sliding window algorithm can quickly extract the flow data within the sliding window time period, thereby improving the speed of flow data extraction. By extracting the flow data in valve body 1 in real time, the accuracy of the flow data can be guaranteed while extracting the flow data quickly.

[0082] In some embodiments of this application, the judgment unit is configured to perform abnormal data analysis on the traffic data and determine whether there is abnormal traffic data based on the analysis results, including:

[0083] When the standard deviation of the flow data in the sliding window is zero, it is determined that there is an anomaly in the flow data;

[0084] When the standard deviation of the traffic data in the sliding window is not zero, the standard deviation of the traffic data in the current sliding window is compared with the standard deviation threshold; when the standard deviation of the traffic data in the sliding window is greater than the standard deviation threshold, it is determined that the traffic data in the sliding window is abnormal; when the standard deviation of the traffic data in the sliding window is less than or equal to the standard deviation threshold, it is determined that the traffic data in the sliding window is not abnormal.

[0085] Specifically, when the standard deviation of the flow rate data in the sliding window is zero, it means that the maximum and minimum values ​​of the flow rate data in the sliding window are the same. Since the flow rate of a liquid varies slightly during flow and is not constant, a malfunction exists in the flow monitoring process. When the standard deviation of the flow rate data in the sliding window is not zero, and the standard deviation of the flow rate data within the sliding window is greater than the standard deviation threshold, it indicates that the flow rate fluctuates significantly, and the flow control is unstable. The standard deviation threshold is crucial for determining whether the flow rate data is abnormal when flow control is unstable.

[0086] In some embodiments of this application, when traffic data is determined to be abnormal, the warning type is determined based on the abnormal traffic data, including:

[0087] When the standard deviation of the flow data is zero, the warning type is determined to be an abnormality of the flow detection device.

[0088] When the standard deviation of the flow data is not zero, the warning type is determined to be an angle seat valve malfunction.

[0089] Specifically, when the standard deviation of the flow data is zero, since the liquid flow fluctuates but the detected flow data is the same value, it indicates that the flow detection device is malfunctioning, and the warning type is determined to be flow detection device abnormality. When the standard deviation of the flow data is not zero, flow data abnormality occurs, indicating that the standard deviation of the flow data exceeds the standard deviation threshold, the flow fluctuation is large, the flow control in valve body 1 is unstable, and valve body 1 or cylinder 2 is malfunctioning, and the warning type is determined to be angle seat valve abnormality.

[0090] Understandably, by collecting and judging traffic data in real time and quickly through the collection unit, judgment unit, and early warning unit, and by issuing a rapid early warning when traffic data is abnormal, manual intervention can be initiated quickly, thus avoiding economic losses caused by untimely handling after a failure occurs.

[0091] In summary, the beneficial effects of this invention are as follows: The valve core diaphragm achieves absolute sealing at the top of the valve body, eliminating the possibility of liquid leakage and thus preventing cylinder damage caused by leakage; the valve core gasket improves the sealing performance of the shut-off port when it is fully closed, reducing the risk of leakage; when the flow rate inside the valve body is zero, the cylinder stops working, and the shut-off port is fully closed by the pressure spring, keeping it in a closed state, reducing energy consumption and saving operating costs; the detachable sight cover facilitates cylinder inspection and maintenance; the flow rate inside the valve body can be temporarily controlled using an indicator rod, avoiding the inability to control the flow rate due to cylinder failure, thereby preventing economic losses; the flow rate inside the valve body is controlled by the processing unit, eliminating the need for manual control and making the angle seat valve switch more convenient; the flow rate control by the processing unit is more precise and refined compared to manual control; the acquisition unit, judgment unit, and early warning unit collect flow data detected by the flow detection device, and when a fault occurs, they can accurately determine the fault location and cause; faults can be cleared more quickly and promptly, making maintenance more convenient.

[0092] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program goods. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program goods embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0093] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program goods according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0094] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0095] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0096] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A pneumatic angle seat valve system, characterized in that, include: The system comprises a valve body, a cylinder, a control system, and a flow detection device. The valve body contains a valve core and a shut-off port. A valve body connector is laterally mounted on the upper end of the valve body, and a cylinder is connected to the upper end of the valve body connector. The flow detection device is used to detect flow data within the valve body. The control system includes a processing unit, a data acquisition unit, a judgment unit, and an early warning unit. The processing unit is configured to control the cylinder to move the valve core when the flow rate is manually adjusted, thereby controlling the opening and closing of the valve core and the shut-off port to control the flow rate adjustment. The acquisition unit is configured to acquire the flow data within the valve body; The judgment unit is configured to perform abnormal data analysis on the traffic data and determine whether there is any abnormality in the traffic data based on the analysis results. The early warning unit is configured to determine the early warning type based on the abnormality of the traffic data when the traffic data is determined to be abnormal. The processing unit is configured to control the cylinder to move the valve core when the flow rate is manually adjusted, thereby controlling the opening and closing of the valve core and the shut-off port, and controlling the flow rate adjustment, including: When manually adjusting the flow rate, a feature set is established by inputting flow rate data features. The feature set is then integrated with the historical feature set in the historical adjustment set to form a clustering set. The historical adjustment set includes several historical feature sets and several historical adjustment coefficients, and each historical feature set corresponds to a historical adjustment coefficient. All sets to be clustered are processed, and the operation of the cylinder is controlled according to the clustering results. The operation of the cylinder drives the flow rate adjustment. All sets to be clustered are processed, and the operation of the cylinder is controlled according to the clustering results. When the cylinder operates, it drives the flow rate adjustment, including: Normalize each data point in the set to be clustered; S1: Initialize K centroids in the set to be clustered, and assign the remaining feature sets to the nearest centroids to form K clusters; S2: Recalculate the centroid of each cluster; S3: Repeat S1 and S2 until the centroid no longer changes; When the cluster containing the feature set does not contain the historical feature set, the historical adjustment coefficient corresponding to the maximum similarity between the feature set and the historical feature set is selected as the initial adjustment coefficient. When the cluster containing the feature set contains a historical feature set, the average value of the historical adjustment coefficients corresponding to all the historical feature sets is selected as the adjustment coefficient. The traffic is adjusted according to the adjustment coefficient and the system runs with the adjusted traffic. When selecting the historical adjustment coefficient corresponding to the maximum similarity between the feature set and the historical feature set as the initial adjustment coefficient, it also includes: The average value, maximum value, and minimum value of traffic data are obtained based on the feature set, and the traffic data difference is determined. The traffic data difference is the difference between the maximum value and the average value of traffic data, and the difference between the minimum value and the average value of traffic data. When the difference in the flow data corresponding to the largest absolute value is positive, a first correction coefficient is determined to correct the initial adjustment coefficient, and the flow is adjusted with the corrected adjustment coefficient and the system operates with the adjusted flow. The first correction coefficient is inversely proportional to the difference in the flow data with the largest absolute value, and the value range of the first correction coefficient is (0.8, 1). When the difference in the flow data corresponding to the largest absolute value is negative, a second correction coefficient is determined to correct the initial adjustment coefficient, and the flow is adjusted with the corrected adjustment coefficient and the system operates with the adjusted flow. The second correction coefficient is inversely proportional to the difference in the flow data with the largest absolute value, and the value range of the second correction coefficient is (1, 1.2).

2. The pneumatic angle seat valve system according to claim 1, characterized in that, A valve stem is inserted through the inner side of the valve body connector. The lower end of the valve stem is inserted into the valve core and connected to the valve core. A valve core diaphragm is sleeved on the outer side of the valve core. The inner side of the valve core diaphragm is connected to the outer side of the valve core. The outer side of the valve core diaphragm is connected to the connection between the valve body and the valve body connector. A valve core gasket is installed at the lower end of the valve core.

3. A pneumatic angle seat valve system according to claim 2, characterized in that, The upper end of the valve body connector is connected to the cylinder connector, the valve stem extends into the cylinder and connects to the piston inside the cylinder, and the piston is sleeved on the valve stem; a spring is press-fitted between the upper end of the piston and the inside of the cylinder; an indicator rod is fixedly connected to the upper end of the valve stem; and a sight cover is provided on the upper end of the cylinder.

4. A pneumatic angle seat valve system according to claim 1, characterized in that, The cylinder is provided with an upper vent and a lower vent.

5. A pneumatic angle seat valve system according to claim 1, characterized in that, The acquisition unit is configured to acquire the flow data within the valve body, including: Choose an appropriate sliding window size N, set the sliding step size to x, and the sliding window moves forward by x each time starting from the current moment; Extract the mean, maximum, and minimum values ​​of the traffic data in the sliding window; calculate the standard deviation of the traffic data in the sliding window.

6. A pneumatic angle seat valve system according to claim 5, characterized in that, The judgment unit is configured to perform abnormal data analysis on the traffic data and determine whether there is any abnormality in the traffic data based on the analysis results, including: When the standard deviation of the traffic data in the sliding window is zero, it is determined that there is an anomaly in the traffic data; When the standard deviation of the traffic data in the sliding window is not zero, the standard deviation of the traffic data in the current sliding window is compared with the standard deviation threshold; when the standard deviation of the traffic data in the sliding window is greater than the standard deviation threshold, it is determined that the traffic data in the sliding window is abnormal; when the standard deviation of the traffic data in the sliding window is less than or equal to the standard deviation threshold, it is determined that the traffic data in the sliding window is not abnormal.

7. A pneumatic angle seat valve system according to claim 6, characterized in that, When the traffic data is determined to be abnormal, the warning type is determined based on the abnormality of the traffic data, including: When the standard deviation of the flow data is zero, the warning type is determined to be an abnormality of the flow detection device. When the standard deviation of the flow data is not zero, the warning type is determined to be an angle seat valve malfunction.

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