A method and system for regulating and controlling an intelligent valve

Abstract

The present invention discloses a regulating and controlling method and system for an intelligent valve, and relates to the technical field of valves. Traditional regulating and maintaining methods for valve function degradation mostly rely on manual detection and regular maintenance, which is inefficient and prone to missed detection and misjudgment. The regulating and controlling method and system for the intelligent valve can comprehensively monitor and analyze the operating status of the valve, and perform real-time monitoring and analysis on factors such as component wear, valve body leakage, and changes in opening and closing resistance to obtain a valve function degradation index zth; and compare the index with a preset function degradation threshold G to generate corresponding regulating and controlling instructions, so as to timely discover and warn of potential faults, realize real-time monitoring and judgment of the valve status in a high-pressure, high-temperature, corrosive, and high-impurity environment, discover function degradation problems in advance, effectively prevent faults and safety accidents caused by valve function degradation, and improve the overall operating efficiency and safety of the valve.

Description

Technical Field

[0001] The present invention relates to the technical field of valves, and in particular to a regulating and controlling method and system for an intelligent valve. Background Art

[0002] In modern industrial and civil fields, the application of smart valves is becoming more and more extensive. From fluid control to system safety, smart valves play an important role in improving production efficiency and system reliability. However, in practical applications, the regulation and control of smart valves still faces many challenges, especially the problem of valve function degradation. These problems are particularly evident in high-pressure, high-temperature, corrosive and high-impurity environments. For example, valves in heating and air-conditioning systems, valves in the pharmaceutical and food industries, and regulating valves in water treatment systems are more likely to experience functional degradation after long-term use.

[0003] At present, valve function degradation is mainly manifested in three aspects: component wear, valve body leakage and difficulty in opening and closing the valve. The problem of valve function degradation will not only affect the normal operation of the valve, but also lead to performance degradation of the entire system and increased safety hazards. Traditional methods for adjusting and maintaining valve function degradation mostly rely on manual inspection and regular maintenance. This method is inefficient and prone to missed detection and misjudgment. It is difficult to achieve real-time monitoring and judgment of the valve status, resulting in delayed detection of function degradation problems and increased maintenance costs. It may even cause major failures and safety accidents due to the failure to timely discover the serious degradation of valve function. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a method and system for regulating and controlling an intelligent valve, which solves the problems in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a regulation and control system for an intelligent valve, comprising a sediment monitoring module, a blocking pretreatment module, a data acquisition module, a valve function status analysis module and a regulation and control module;

[0006] The sediment monitoring module is used to identify and monitor the sediment blockage situation when the valve is open to obtain sediment blockage status information, and after pre-processing, to form a sediment blockage status data group, and transmit it to the blockage pre-processing module;

[0007] The blocking preprocessing module is used to analyze the received sediment blocking state information to obtain the sediment blocking index zcj, and compare it with the preset blocking threshold S to determine whether a blocking warning instruction needs to be issued;

[0008] The data acquisition module is used to identify and collect data on the wear status of components inside the valve and the leakage status of the valve body, respectively obtain information on component wear and valve body leakage status, and collect data based on the valve opening and closing status, while introducing the sediment blocking index zcj to obtain switch opening and closing resistance change information;

[0009] The valve function status analysis module is used to analyze and calculate the component wear information, valve body leakage status information and switch opening and closing resistance change information after receiving the blocking warning instruction, and obtain the physical wear index zms, valve body leakage index zxl and opening and closing resistance change index zqb in turn, and combine the deep neural network for modeling, specifically using the deep learning algorithm to build a multi-layer neural network model, through the training of input data, so that the model can accurately fit and predict the output data; and after dimensionless processing, the valve function degradation index zth is obtained;

[0010] The regulating control module is used to compare and analyze the valve function degradation index zth obtained in the valve function status analysis module with a preset function degradation threshold G, obtain corresponding control instructions, and make corresponding regulating measures according to the control instructions.

[0011] Preferably, the deposit detection module is used to identify and monitor the deposit blockage when the valve is open by using a capacitive sensor, a vortex flowmeter and an acoustic emission sensor to obtain deposit blockage status information, perform feature analysis from three aspects: the degree of deposit accumulation, internal fluid flow and valve body vibration when the valve is open, eliminate erroneous data, abnormal values ​​or noise, and obtain the deposit volume vcj, fluid flow vlt and valve body vibration frequency pzd after normalizing and standardizing the data, so as to form a deposit blockage status data group, and transmit it to the blockage preprocessing module;

[0012] The sediment volume vcj refers to the volume of sediment accumulated inside the valve. These sediments may be composed of solid particles, dirt or other impurities. Over time, they accumulate inside the valve and affect the normal operation of the valve. The sediment inside the valve is measured by using a capacitive sensor. The capacitive sensor determines the existence of sediment and its volume change by detecting changes in the electric field. The sensor is installed inside the valve. When sediment accumulates, it causes a change in capacitance. The sensor converts this change into data on the sediment volume.

[0013] The fluid flow rate vlt refers to the volume flow rate of the fluid passing through the valve, which is usually measured by the volume of fluid flowing through the valve per second. The fluid flow rate reflects the working state and flow capacity of the valve, especially when sediment accumulates, the fluid flow rate will be affected; a vortex flowmeter is used to measure the fluid flow in the valve, and the flow rate is determined by detecting the vortex frequency generated when the fluid bypasses the obstacle. The flowmeter is installed in the fluid channel of the valve. The vortex frequency formed when the fluid passes is proportional to the flow rate. The flowmeter converts the vortex frequency into fluid flow data;

[0014] The valve body vibration frequency pzd refers to the vibration frequency caused by fluid flow or sediment blockage during valve operation. Changes in the vibration frequency can reflect abnormal conditions inside the valve. The valve body vibration frequency is measured using an acoustic emission sensor. The acoustic emission sensor can capture high-frequency sound waves generated during valve operation. These sound waves are caused by vibration. The sensor is installed on the outer surface of the valve. The detected sound wave signal can be converted into valve body vibration frequency data after processing.

[0015] Preferably, the blockage preprocessing module includes a blockage state analysis unit and a comparison unit;

[0016] The blocking state analysis unit is used to analyze the received sediment blocking state data group to generate a sediment blocking index zcj which is calculated and obtained by the following formula;

[0017]

[0018] Wherein, vcj represents the sediment volume, vlt represents the fluid flow rate, pzd represents the valve body vibration frequency, a1, a2 and a3 represent the preset proportional coefficients of the sediment volume vcj, the fluid flow rate vlt and the valve body vibration frequency pzd, respectively, and A represents the first correction constant;

[0019] The comparison unit is used to compare and analyze the sediment blocking index zcj with a preset blocking threshold S to determine whether a blocking warning instruction needs to be issued. The specific contents are as follows:

[0020] If the sediment blocking index zcj≤blocking threshold S, it is determined that the sediment in the current valve is not blocked, and no additional blocking warning instruction is issued;

[0021] If the deposit blockage index zcj>blockage threshold S, it is determined that the deposits in the current valve are in a blocked state, and a blockage warning instruction is issued. The content of the blockage warning instruction includes notifying the maintenance personnel to clean the deposits inside the valve by manual dismantling and cleaning. For internal structures that cannot be removed, that is, internal structures that are fixedly connected, the valve is immersed in an ultrasonic cleaning tank to remove the deposits by ultrasonic vibration.

[0022] Preferably, the data acquisition module includes a parts wear data acquisition unit, a valve body leakage status information acquisition unit and an opening and closing resistance data acquisition unit;

[0023] The component wear data collection unit is used to collect the wear status of internal components of the valve and obtain component wear information during the use of the valve. The internal component wear information includes the total number of pits gkd, the total area of ​​the smooth surface sgh, the crack length clw and the crack depth slw of the component;

[0024] The valve body leakage status information collection unit is used to collect the fluid leakage situation inside the valve body and the valve body appearance feature information when the valve is in a closed state, so as to obtain the valve body leakage status information, wherein the valve body leakage status information includes the internal leakage amount vwx, the external leakage amount vnx and the external sealing gap djx in the closed state;

[0025] The internal leakage amount vwx in the closed state refers to the amount of fluid leakage from the high-pressure side to the low-pressure side through the internal sealing surface of the valve when the valve is in a fully closed state, which reflects the sealing performance of the valve sealing surface; a differential pressure sensor and a flow meter are used to measure the internal leakage amount. The differential pressure sensor is installed on the high-pressure side and the low-pressure side of the valve to monitor the pressure difference change. When the valve is closed, when there is internal leakage, the fluid will leak from the high-pressure side to the low-pressure side, resulting in a change in the differential pressure. The flow meter on the low-pressure side can measure the amount of leaked fluid;

[0026] The external leakage volume vnx refers to the amount of fluid that leaks to the external environment through the external sealing surface of the valve body, valve cover, stuffing box and flange connection when the valve is in a closed state. It reflects the sealing performance of the external sealing surface of the valve. A fluid detection sensor is used to detect the external leakage volume. A fluid detection sensor is used to determine the external leakage volume by detecting the fluid volume outside the valve.

[0027] The opening and closing resistance data acquisition unit is used to collect data according to the opening and closing state of the valve, and at the same time introduce the sediment blocking index zcj to obtain the switch opening and closing resistance change information, and the switch opening and closing resistance change information includes the sediment blocking index zcj, the opening and closing torque jqb and the friction sound wave frequency vsb;

[0028] The opening and closing torque jqb refers to the torque that needs to be applied during the opening and closing process of the valve, which reflects the difficulty of operating the valve. A torque sensor is used to measure the opening and closing torque. The torque sensor is installed on the valve stem. When the operator or the automatic control system opens and closes the valve, the sensor will measure and record the applied torque, and monitor the changes in the opening and closing torque in real time.

[0029] The friction sound wave frequency vsb refers to the sound wave frequency generated by the friction between internal components during the opening and closing process of the valve. This parameter can reflect the friction condition inside the valve and potential functional failures. An acoustic emission sensor is used to detect the friction sound wave frequency. The acoustic emission sensor is installed on the valve casing and can capture the high-frequency sound wave signal generated during the opening and closing process.

[0030] Preferably, the valve function status analysis module is used to analyze the component wear information, valve body leakage status information and switch opening and closing resistance change information after receiving the blocking warning instruction, and the valve function status analysis module includes a physical wear analysis unit, a valve body leakage analysis unit, an opening and closing resistance change analysis unit and a valve function degradation overall evaluation unit;

[0031] The physical wear analysis unit is used to analyze the wear information of the parts and obtain the physical wear index zms after dimensionless processing. The physical wear index zms is obtained by the following formula:

[0032]

[0033] Where gkd is the total number of potholes, sgh is the total area of ​​smooth surface, and clw is i Expressed as the length of the i-th crack, slw i It represents the i-th crack depth, i=1, 2, 3, ..., n, n represents the number of cracks, b1, b2, b3 and b4 all represent weight values, and B represents the second correction constant.

[0034] Preferably, the valve body leakage analysis unit is used to analyze the valve body leakage state information, and obtain the valve body leakage index zxl after dimensionless processing. The valve body leakage index zxl is obtained by the following formula:

[0035]

[0036] In the formula, vwx represents the internal leakage, vnx represents the external leakage, djx represents the external sealing gap, c1, c2 and c3 represent the weight values ​​of the internal leakage vwx, the external leakage vnx and the external sealing gap djx respectively, and C represents the third correction constant.

[0037] Preferably, the opening and closing resistance change analysis unit is used to analyze the switch opening and closing resistance change information, and obtain the opening and closing resistance change index zqb after dimensionless processing. The opening and closing resistance change index zqb is obtained by the following formula:

[0038]

[0039] Wherein, zcj represents the sediment blocking index, jqb represents the opening and closing torque, vsb represents the friction sound wave frequency, d1, d2 and d3 represent the weight values ​​of the sediment blocking index zcj, the opening and closing torque jqb and the friction sound wave frequency vsb respectively, and D represents the fourth correction constant.

[0040] Preferably, the valve function degradation total evaluation unit is used to obtain the valve function degradation index zth after performing machine learning calculation and dimensionless processing on the physical wear index zms, the valve body leakage index zxl and the opening and closing resistance change index zqb. The valve function degradation index zth is obtained by the following formula:

[0041]

[0042] Wherein, α, β and λ represent the weight values ​​of physical wear index zms, valve body leakage index zxl and opening and closing resistance change index zqb respectively.

[0043] Preferably, the regulating control module is used to compare and analyze the valve function degradation index zth with a preset function degradation threshold G, obtain corresponding regulating control instructions, and make corresponding regulating measures according to the regulating control instructions. The specific contents are as follows:

[0044] If the valve function degradation index zth is less than the function degradation threshold G, that is, zth<G, it indicates that the current function state of the valve is in a normal state, and at this time, a first adjustment control instruction is issued and executed. The execution measures of the first adjustment control instruction are: continue to monitor the operation state of the valve and record relevant parameters as part of the reference for later maintenance;

[0045] If the valve function degradation index zth is greater than or equal to the function degradation threshold G, that is, zth≥G, it means that the current functional state of the valve is in a functional abnormal state. At this time, a second adjustment control instruction is issued and executed. The execution measures of the second adjustment control instruction are: notify the maintenance personnel to immediately conduct a comprehensive inspection of the valve, find and repair the specific causes of the functional degradation, replace the damaged valve seat, valve core, valve stem and sealing components according to the test results, and clean the inside of the valve to remove sediment. After the replacement is completed, calibrate and debug the valve.

[0046] Preferably, a method for regulating and controlling an intelligent valve comprises the following steps:

[0047] Step 1: First, the sediment blockage situation when the valve is open is identified and monitored to obtain sediment blockage status information, and after preprocessing, a sediment blockage status data group is formed and transmitted to the blockage preprocessing module;

[0048] Step 2: Secondly, the received sediment blocking state information is analyzed to obtain the sediment blocking index zcj, and it is compared with the preset blocking threshold S to determine whether a blocking warning instruction needs to be issued;

[0049] Step 3: In addition, data is identified and collected on the wear condition of the components inside the valve and the leakage condition of the valve body, and the wear information of the components and the leakage condition of the valve body are obtained respectively. The data are collected according to the opening and closing state of the valve, and the sediment blocking index zcj is introduced at the same time to obtain the change information of the opening and closing resistance of the switch;

[0050] Step 4: After receiving the blocking warning instruction, analyze and calculate the parts wear information, valve body leakage status information and switch opening and closing resistance change information, and obtain the physical wear index zms, valve body leakage index zxl and opening and closing resistance change index zqb in turn, and combine the deep neural network to build a model, and after dimensionless processing, fit and obtain the valve function degradation index zth;

[0051] Step 5: Finally, the obtained valve function degradation index zth is compared and analyzed with the preset function degradation threshold G, the corresponding control instruction is obtained, and corresponding adjustment measures are taken according to the control instruction.

[0052] The present invention provides a method and system for regulating and controlling an intelligent valve, which has the following beneficial effects:

[0053] (1) Through the coordinated work of the sediment monitoring module, the blockage pretreatment module, the data acquisition module, the valve function status analysis module and the regulation control module, the intelligent valve regulation control system can comprehensively monitor and analyze the operating status of the valve; through real-time monitoring and analysis of factors such as sediment blockage, component wear, valve body leakage and opening and closing resistance changes, the system can timely detect and warn of potential faults, realize real-time monitoring and judgment of the valve status in a high-pressure, high-temperature, corrosive and high-impurity environment, detect the functional degradation of the valve in advance, effectively prevent faults and safety accidents caused by valve functional degradation, and improve the overall operating efficiency and safety of the valve.

[0054] (2) By analyzing the sediment blockage status information, a sediment blockage index zcj is generated and compared with the preset blockage threshold S. When the index exceeds the threshold, the system promptly issues a blockage warning instruction. Through this process, the blockage problem inside the valve can be quickly located and identified, reminding maintenance personnel to perform targeted maintenance and avoiding valve opening and closing difficulties and functional failures caused by sediment accumulation.

[0055] (3) By analyzing the wear information of parts and components, the leakage status information of the valve body, and the change information of the opening and closing resistance, the physical wear index zms, the valve body leakage index zxl, and the opening and closing resistance change index zqb are calculated respectively, and the valve function degradation index zth is obtained by fitting; and compared and analyzed with the preset function degradation threshold G, the corresponding adjustment control instructions are generated; this intelligent evaluation and adjustment method can not only accurately judge the current operating status of the valve, but also formulate targeted maintenance measures, effectively extend the service life of the valve, and reduce maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 This is a block diagram of a regulating control system for an intelligent valve of the present invention;

[0057] Figure 2 The figure is a schematic diagram of the steps of a regulating and controlling method of an intelligent valve of the present invention. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0059] Example 1

[0060] See also Figure 1 , the present invention provides a regulation and control system for an intelligent valve, including a sediment monitoring module, a blocking pretreatment module, a data acquisition module, a valve function status analysis module and a regulation and control module;

[0061] The sediment monitoring module is used to identify and monitor the sediment blockage situation when the valve is open to obtain sediment blockage status information, and after pre-processing, to form a sediment blockage status data group, and transmit it to the blockage pre-processing module;

[0062] The blocking preprocessing module is used to analyze the received sediment blocking state information to obtain the sediment blocking index zcj, and compare it with the preset blocking threshold S to determine whether a blocking warning instruction needs to be issued;

[0063] The data acquisition module is used to identify and collect data on the wear status of components inside the valve and the leakage status of the valve body, respectively obtain information on component wear and valve body leakage status, and collect data based on the valve opening and closing status, while introducing the sediment blocking index zcj to obtain switch opening and closing resistance change information;

[0064] The valve function status analysis module is used to analyze and calculate the component wear information, valve body leakage status information and switch opening and closing resistance change information after receiving the blocking warning instruction, and obtain the physical wear index zms, valve body leakage index zxl and opening and closing resistance change index zqb in turn, and combine the deep neural network for modeling, specifically using the deep learning algorithm to build a multi-layer neural network model, through the training of input data, so that the model can accurately fit and predict the output data; and after dimensionless processing, the valve function degradation index zth is obtained;

[0065] The regulating control module is used to compare and analyze the valve function degradation index zth obtained in the valve function status analysis module with a preset function degradation threshold G, obtain corresponding control instructions, and make corresponding regulating measures according to the control instructions.

[0066] In this embodiment, through the coordinated work of the sediment monitoring module, the blockage pretreatment module, the data acquisition module, the valve function status analysis module and the adjustment control module, comprehensive monitoring and analysis of the wear of the internal components of the valve, valve body leakage and the changes in the opening and closing resistance are achieved. After deep neural network modeling and dimensionless processing, the valve function degradation index zth is accurately obtained, and compared and analyzed according to the function degradation threshold G, and corresponding control instructions are generated, so that adjustment measures can be taken in time to effectively slow down the degradation of the valve function and improve the reliability and service life of the valve operation.

[0067] Example 2

[0068] Please refer to Figure 1 Specifically: the sediment detection module is used to identify and monitor the sediment blockage when the valve is open by using a capacitive sensor, a vortex flowmeter and an acoustic emission sensor to obtain sediment blockage status information, perform feature analysis from three aspects: sediment accumulation degree, internal fluid flow rate and valve body vibration when the valve is open, eliminate erroneous data, abnormal values ​​or noise, and obtain the sediment volume vcj, fluid flow rate vlt and valve body vibration frequency pzd after normalizing and standardizing the data to form a sediment blockage status data group, and transmit it to the blockage preprocessing module;

[0069] The sediment volume vcj refers to the volume of sediment accumulated inside the valve. These sediments may be composed of solid particles, dirt or other impurities. Over time, they accumulate inside the valve and affect the normal operation of the valve. The sediment inside the valve is measured by using a capacitive sensor. The capacitive sensor determines the existence of sediment and its volume change by detecting changes in the electric field. The sensor is installed inside the valve. When sediment accumulates, it causes a change in capacitance. The sensor converts this change into data on the sediment volume.

[0070] The fluid flow rate vlt refers to the volume flow rate of the fluid passing through the valve, which is usually measured by the volume of fluid flowing through the valve per second. The fluid flow rate reflects the working state and flow capacity of the valve, especially when sediment accumulates, the fluid flow rate will be affected; a vortex flowmeter is used to measure the fluid flow in the valve, and the flow rate is determined by detecting the vortex frequency generated when the fluid bypasses the obstacle. The flowmeter is installed in the fluid channel of the valve. The vortex frequency formed when the fluid passes is proportional to the flow rate. The flowmeter converts the vortex frequency into fluid flow data;

[0071] The valve body vibration frequency pzd refers to the vibration frequency caused by fluid flow or sediment blockage during valve operation. Changes in the vibration frequency can reflect abnormal conditions inside the valve. The valve body vibration frequency is measured using an acoustic emission sensor. The acoustic emission sensor can capture high-frequency sound waves generated during valve operation. These sound waves are caused by vibration. The sensor is installed on the outer surface of the valve. The detected sound wave signal can be converted into valve body vibration frequency data after processing.

[0072] In this embodiment, the sediment detection module uses a capacitive sensor, a vortex flowmeter and an acoustic emission sensor to comprehensively monitor and analyze the sediment accumulation degree, internal fluid flow rate and valve body vibration frequency when the valve is open, effectively eliminating erroneous data, abnormal values ​​and noise, and after data normalization and standardization, accurately obtain the sediment volume vcj, fluid flow rate vlt and valve body vibration frequency pzd, form a sediment blockage status data group, and transmit it to the blockage preprocessing module, thereby providing accurate identification and monitoring of sediment blockage conditions.

[0073] Example 3

[0074] Please refer to Figure 1 ,Specifically: the blocking preprocessing module includes a blocking state analysis unit and a comparison unit;

[0075] The blocking state analysis unit is used to analyze the received sediment blocking state data group to generate a sediment blocking index zcj which is calculated and obtained by the following formula;

[0076]

[0077] Wherein, vcj represents the sediment volume, vlt represents the fluid flow rate, pzd represents the valve body vibration frequency, a1, a2 and a3 represent the preset proportional coefficients of the sediment volume vcj, the fluid flow rate vlt and the valve body vibration frequency pzd, respectively, and A represents the first correction constant;

[0078] The comparison unit is used to compare and analyze the sediment blocking index zcj with a preset blocking threshold S to determine whether a blocking warning instruction needs to be issued. The specific contents are as follows:

[0079] If the sediment blocking index zcj≤blocking threshold S, it is determined that the sediment in the current valve is not blocked, and no additional blocking warning instruction is issued;

[0080] If the deposit blockage index zcj>blockage threshold S, it is determined that the deposits in the current valve are in a blocked state, and a blockage warning instruction is issued. The content of the blockage warning instruction includes notifying the maintenance personnel to clean the deposits inside the valve by manual dismantling and cleaning. For internal structures that cannot be removed, that is, internal structures that are fixedly connected, the valve is immersed in an ultrasonic cleaning tank to remove the deposits by ultrasonic vibration.

[0081] In this embodiment, the blockage pretreatment module is used to accurately identify and effectively deal with the blockage of deposits inside the valve. The blockage state analysis unit uses three key parameters, namely, the sediment volume vcj, the fluid flow vlt and the valve body vibration frequency pzd, to accurately calculate the sediment blockage index zcj through a preset weighted formula. The comparison unit compares and analyzes the index with the preset blockage threshold S, so as to determine the blockage state of the valve in real time. When the sediment blockage index zcj is less than or equal to the threshold S, the system determines that the valve is in a normal state and no additional measures are required. When the sediment blockage index zcj is greater than the threshold S, the system automatically issues a blockage warning instruction and promptly notifies the maintenance personnel to clean up. For the detachable parts, manual cleaning is adopted, and for the fixed connection parts, efficient cleaning is carried out through an ultrasonic cleaning tank. The system improves the detection accuracy of sediment blockage and can also provide timely warning and effective cleaning.

[0082] Example 4

[0083] Please refer to Figure 1 Specifically: the data acquisition module includes a parts wear data acquisition unit, a valve body leakage status information acquisition unit and an opening and closing resistance data acquisition unit;

[0084] The component wear data collection unit is used to collect the wear status of internal components of the valve and obtain component wear information during the use of the valve. The internal component wear information includes the total number of pits gkd, the total area of ​​the smooth surface sgh, the crack length clw and the crack depth slw of the component;

[0085] The valve body leakage status information collection unit is used to collect the fluid leakage situation inside the valve body and the valve body appearance feature information when the valve is in a closed state, so as to obtain the valve body leakage status information, wherein the valve body leakage status information includes the internal leakage amount vwx, the external leakage amount vnx and the external sealing gap djx in the closed state;

[0086] The internal leakage amount vwx in the closed state refers to the amount of fluid leakage from the high-pressure side to the low-pressure side through the internal sealing surface of the valve when the valve is in a fully closed state, which reflects the sealing performance of the valve sealing surface; a differential pressure sensor and a flow meter are used to measure the internal leakage amount. The differential pressure sensor is installed on the high-pressure side and the low-pressure side of the valve to monitor the pressure difference change. When the valve is closed, when there is internal leakage, the fluid will leak from the high-pressure side to the low-pressure side, resulting in a change in the differential pressure. The flow meter on the low-pressure side can measure the amount of leaked fluid;

[0087] The external leakage volume vnx refers to the amount of fluid that leaks to the external environment through the external sealing surface of the valve body, valve cover, stuffing box and flange connection when the valve is in a closed state. It reflects the sealing performance of the external sealing surface of the valve. A fluid detection sensor is used to detect the external leakage volume. A fluid detection sensor is used to determine the external leakage volume by detecting the fluid volume outside the valve.

[0088] The opening and closing resistance data acquisition unit is used to collect data according to the opening and closing state of the valve, and at the same time introduce the sediment blocking index zcj to obtain the switch opening and closing resistance change information, and the switch opening and closing resistance change information includes the sediment blocking index zcj, the opening and closing torque jqb and the friction sound wave frequency vsb;

[0089] The opening and closing torque jqb refers to the torque that needs to be applied during the opening and closing process of the valve, which reflects the difficulty of operating the valve. A torque sensor is used to measure the opening and closing torque. The torque sensor is installed on the valve stem. When the operator or the automatic control system opens and closes the valve, the sensor will measure and record the applied torque, and monitor the changes in the opening and closing torque in real time.

[0090] The friction sound wave frequency vsb refers to the sound wave frequency generated by the friction between internal components during the opening and closing process of the valve. This parameter can reflect the friction condition inside the valve and potential functional failures. An acoustic emission sensor is used to detect the friction sound wave frequency. The acoustic emission sensor is installed on the valve casing and can capture the high-frequency sound wave signal generated during the opening and closing process.

[0091] In this embodiment, comprehensive monitoring of key parameters of valve internal component wear, valve body leakage status, and opening and closing resistance changes is achieved; the component wear data acquisition unit provides detailed component wear information by measuring the total number of pits gkd, the total area of ​​smooth surfaces sgh, the crack length clw, and the crack depth slw, ensuring accurate evaluation of the valve usage status; the valve body leakage status information acquisition unit uses a differential pressure sensor and a flow meter to accurately measure the internal leakage vwx and the external leakage vnx in the closed state, and detects the sealing performance of the external sealing surface through a fluid detection sensor to promptly discover leakage problems; the opening and closing resistance data acquisition unit combines the sediment blocking index zcj, and obtains the opening and closing torque jqb and the friction sound wave frequency vsb through a torque sensor and an acoustic emission sensor, respectively, to effectively monitor the operating difficulty and internal friction of the valve; the above-mentioned multi-dimensional data acquisition and real-time monitoring improve the system's comprehensive monitoring capability of the valve status.

[0092] Example 5

[0093] Please refer to Figure 1 Specifically: the valve function status analysis module is used to analyze the wear information of parts, the valve body leakage status information and the switch opening and closing resistance change information after receiving the blocking warning instruction. The valve function status analysis module includes a physical wear analysis unit, a valve body leakage analysis unit, an opening and closing resistance change analysis unit and a valve function degradation overall evaluation unit;

[0094] The physical wear analysis unit is used to analyze the wear information of the parts and obtain the physical wear index zms after dimensionless processing. The physical wear index zms is obtained by the following formula:

[0095]

[0096] Where gkd is the total number of potholes, sgh is the total area of ​​smooth surface, and clw is i Expressed as the length of the i-th crack, slw i It represents the i-th crack depth, i=1, 2, 3, ..., n, n represents the number of cracks, b1, b2, b3 and b4 all represent weight values, and B represents the second correction constant.

[0097] The valve body leakage analysis unit is used to analyze the valve body leakage status information, and obtain the valve body leakage index zxl after dimensionless processing. The valve body leakage index zxl is obtained by the following formula:

[0098]

[0099] In the formula, vwx represents the internal leakage, vnx represents the external leakage, djx represents the external sealing gap, c1, c2 and c3 represent the weight values ​​of the internal leakage vwx, the external leakage vnx and the external sealing gap djx respectively, and C represents the third correction constant.

[0100] The opening and closing resistance change analysis unit is used to analyze the switch opening and closing resistance change information, and obtain the opening and closing resistance change index zqb after dimensionless processing. The opening and closing resistance change index zqb is obtained by the following formula:

[0101]

[0102] Wherein, zcj represents the sediment blocking index, jqb represents the opening and closing torque, vsb represents the friction sound wave frequency, d1, d2 and d3 represent the weight values ​​of the sediment blocking index zcj, the opening and closing torque jqb and the friction sound wave frequency vsb respectively, and D represents the fourth correction constant.

[0103] In this embodiment, the functional status of the valve is comprehensively evaluated through the physical wear analysis unit, the valve body leakage analysis unit and the opening and closing resistance change analysis unit; the physical wear analysis unit calculates the total number of pits gkd, the total area of ​​the smooth surface sgh, the crack length clw and the crack depth slw to obtain the physical wear index zms, which accurately reflects the wear condition of the parts; the valve body leakage analysis unit calculates the valve body leakage index zxl by analyzing the internal leakage vwx, the external leakage vnx and the external sealing gap djx, and effectively evaluates the sealing performance; the opening and closing resistance change analysis unit obtains the opening and closing resistance change index zqb by analyzing the sediment blocking index zcj, the opening and closing torque jqb and the friction sound wave frequency vsb, and monitors the operating difficulty and friction conditions during the opening and closing process; by comprehensively analyzing various indexes, a valve function degradation index zth is provided, which provides a scientific basis for maintenance and early warning, and reduces maintenance costs and the risk of sudden failures.

[0104] Example 6

[0105] Please refer to Figure 1 Specifically: the valve function degradation total evaluation unit is used to obtain the valve function degradation index zth after performing machine learning calculation and dimensionless processing on the physical wear index zms, the valve body leakage index zxl and the opening and closing resistance change index zqb. The valve function degradation index zth is obtained by the following formula:

[0106]

[0107] Wherein, α, β and λ represent the weight values ​​of physical wear index zms, valve body leakage index zxl and opening and closing resistance change index zqb respectively.

[0108] The regulating control module is used to compare and analyze the valve function degradation index zth with a preset function degradation threshold G, obtain corresponding regulating control instructions, and make corresponding regulating measures according to the regulating control instructions. The specific contents are as follows:

[0109] If the valve function degradation index zth is less than the function degradation threshold G, that is, zth<G, it indicates that the current function state of the valve is in a normal state, and at this time, a first adjustment control instruction is issued and executed. The execution measures of the first adjustment control instruction are: continue to monitor the operation state of the valve and record relevant parameters as part of the reference for later maintenance;

[0110] If the valve function degradation index zth is greater than or equal to the function degradation threshold G, that is, zth≥G, it means that the current functional state of the valve is in a functional abnormal state. At this time, a second adjustment control instruction is issued and executed. The execution measures of the second adjustment control instruction are: notify the maintenance personnel to immediately conduct a comprehensive inspection of the valve, find and repair the specific causes of the functional degradation, replace the damaged valve seat, valve core, valve stem and sealing components according to the test results, and clean the inside of the valve to remove sediment. After the replacement is completed, calibrate and debug the valve.

[0111] In this embodiment, the physical wear index zms, the valve body leakage index zxl and the opening and closing resistance change index zqb are comprehensively evaluated through machine learning and dimensionless processing to generate the valve function degradation index zth; when the valve function degradation index zth is less than the preset function degradation threshold G, the system determines that the valve state is normal and continues to monitor and record parameters; when the valve function degradation index zth is greater than or equal to G, the system determines that the valve state is abnormal, immediately issues a maintenance notice, and conducts a comprehensive inspection and maintenance, including replacing damaged parts and cleaning sediments; the present invention effectively improves the reliability and maintenance efficiency of the valve by accurately evaluating the valve state and automatically issuing maintenance instructions.

[0112] Example 7

[0113] Please refer to Figure 1 and Figure 2 Specifically: A method for regulating and controlling an intelligent valve comprises the following steps:

[0114] Step 1: First, the sediment blockage situation when the valve is open is identified and monitored to obtain sediment blockage status information, and after preprocessing, a sediment blockage status data group is formed and transmitted to the blockage preprocessing module;

[0115] Step 2: Secondly, the received sediment blocking state information is analyzed to obtain the sediment blocking index zcj, and it is compared with the preset blocking threshold S to determine whether a blocking warning instruction needs to be issued;

[0116] Step 3: In addition, data is identified and collected on the wear condition of the components inside the valve and the leakage condition of the valve body, and the wear information of the components and the leakage condition of the valve body are obtained respectively. The data are collected according to the opening and closing state of the valve, and the sediment blocking index zcj is introduced at the same time to obtain the change information of the opening and closing resistance of the switch;

[0117] Step 4: After receiving the blocking warning instruction, analyze and calculate the parts wear information, valve body leakage status information and switch opening and closing resistance change information, and obtain the physical wear index zms, valve body leakage index zxl and opening and closing resistance change index zqb in turn, and combine the deep neural network to build a model, and after dimensionless processing, fit and obtain the valve function degradation index zth;

[0118] Step 5: Finally, the obtained valve function degradation index zth is compared and analyzed with the preset function degradation threshold G, the corresponding control instruction is obtained, and corresponding adjustment measures are taken according to the control instruction.

[0119] In this embodiment, the method first identifies and monitors the sediment blockage situation when the valve is open, obtains the sediment blockage index zcj, and compares it with the blockage threshold S to determine whether a blockage warning instruction needs to be issued, thereby achieving early warning of the sediment blockage problem, and then comprehensively identifies, monitors and analyzes the physical wear of components, valve body leakage, and opening and closing resistance change information, and uses deep neural network modeling to obtain the valve function degradation index zth. The system automatically generates control instructions based on the comparison between the valve function degradation index zth and the preset threshold G, thereby achieving intelligent adjustment and maintenance of the valve; the method can accurately predict the functional status of the valve, issue warnings in time and arrange maintenance, reduce the probability of failure, and ensure the stability and safety of the valve operation.

[0120] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A regulating and controlling system of an intelligent valve, characterized in that: It includes a sediment monitoring module, a blockage pretreatment module, a data acquisition module, a valve function status analysis module and a regulation control module; The sediment monitoring module is used to identify and monitor the sediment blockage situation when the valve is open to obtain sediment blockage status information, and after pre-processing, to form a sediment blockage status data group, and transmit it to the blockage pre-processing module; The blocking preprocessing module is used to analyze the received sediment blocking state information to obtain the sediment blocking index zcj, and compare it with the preset blocking threshold S to determine whether a blocking warning instruction needs to be issued; The data acquisition module is used to identify and collect data on the wear status of components inside the valve and the leakage status of the valve body, respectively obtain information on component wear and valve body leakage status, and collect data based on the valve opening and closing status, while introducing the sediment blocking index zcj to obtain switch opening and closing resistance change information; The valve function status analysis module is used to analyze and calculate the component wear information, valve body leakage status information and switch opening and closing resistance change information after receiving the blocking warning instruction, and obtain the physical wear index zms, valve body leakage index zxl and opening and closing resistance change index zqb in turn, and combine the deep neural network to build a model, and after dimensionless processing, fit and obtain the valve function degradation index zth; The regulating control module is used to compare and analyze the valve function degradation index zth obtained in the valve function status analysis module with a preset function degradation threshold G, obtain corresponding control instructions, and make corresponding regulating measures according to the control instructions.

2. The intelligent valve control system according to claim 1, characterized in that: The sediment monitoring module is used to identify and monitor the sediment blockage situation when the valve is open by using a capacitive sensor, a vortex flowmeter and an acoustic emission sensor to obtain sediment blockage status information, perform feature analysis from three aspects: the sediment accumulation degree, the internal fluid flow rate and the valve body vibration when the valve is open, eliminate the erroneous data, abnormal values ​​or noise, and obtain the sediment volume vcj, the fluid flow rate vlt and the valve body vibration frequency pzd after normalizing and standardizing the data to form a sediment blockage status data group, and transmit it to the blockage preprocessing module.

3. The intelligent valve control system according to claim 2, characterized in that: The blocking preprocessing module includes a blocking state analysis unit and a comparison unit; The blocking state analysis unit is used to analyze the received sediment blocking state data group to generate a sediment blocking index zcj; The comparison unit is used to compare and analyze the sediment blocking index zcj with a preset blocking threshold S to determine whether a blocking warning instruction needs to be issued. The specific contents are as follows: If the sediment blocking index zcj≤blocking threshold S, it is determined that the sediment in the current valve is not blocked, and no additional blocking warning instruction is issued; If the deposit blockage index zcj>blockage threshold S, it is determined that the deposits in the current valve are in a blocked state, and a blockage warning instruction is issued. The content of the blockage warning instruction includes notifying the maintenance personnel to clean the deposits inside the valve by manual dismantling and cleaning. For internal structures that cannot be removed, the valve is immersed in an ultrasonic cleaning tank to remove the deposits by ultrasonic vibration.

4. The intelligent valve control system according to claim 1, characterized in that: The data acquisition module includes a parts wear data acquisition unit, a valve body leakage status information acquisition unit and an opening and closing resistance data acquisition unit; The component wear data collection unit is used to collect the wear status of internal components of the valve and obtain component wear information during the use of the valve. The internal component wear information includes the total number of pits gkd, the total area of ​​the smooth surface sgh, the crack length clw and the crack depth slw of the component; The valve body leakage status information collection unit is used to collect the fluid leakage situation inside the valve body and the valve body appearance feature information when the valve is in a closed state, so as to obtain the valve body leakage status information, wherein the valve body leakage status information includes the internal leakage amount vwx, the external leakage amount vnx and the external sealing gap djx in the closed state; The opening and closing resistance data acquisition unit is used to collect data according to the opening and closing state of the valve, and at the same time introduces the sediment blocking index zcj to obtain the switch opening and closing resistance change information, and the switch opening and closing resistance change information includes the sediment blocking index zcj, the opening and closing torque jqb and the friction sound wave frequency vsb.

5. The intelligent valve control system according to claim 4, characterized in that: The valve function status analysis module is used to analyze the component wear information, valve body leakage status information and switch opening and closing resistance change information after receiving the blocking warning instruction. The valve function status analysis module includes a physical wear analysis unit, a valve body leakage analysis unit, an opening and closing resistance change analysis unit and a valve function degradation overall evaluation unit; The physical wear analysis unit is used to analyze the wear information of the parts, and obtain the physical wear index zms after dimensionless processing. The physical wear index zms is obtained by the following formula: ； Where gkd is the total number of potholes, sgh is the total area of ​​smooth surface, and clw is i Expressed as the length of the i-th crack, slw i It represents the depth of the i-th crack, i=1, 2, 3, ..., n, n represents the number of cracks, b1, b2, b3 and b4 all represent weight values, and B represents the second correction constant.

6. The regulating and controlling system of an intelligent valve according to claim 5, characterized in that: The valve body leakage analysis unit is used to analyze the valve body leakage status information, and obtain the valve body leakage index zxl after dimensionless processing. The valve body leakage index zxl is obtained by the following formula: ； In the formula, vwx represents the internal leakage, vnx represents the external leakage, djx represents the external sealing gap, c1, c2 and c3 represent the weight values ​​of the internal leakage vwx, the external leakage vnx and the external sealing gap djx respectively, and C represents the third correction constant.

7. The intelligent valve regulating and controlling system according to claim 5, characterized in that: The opening and closing resistance change analysis unit is used to analyze the switch opening and closing resistance change information, and obtain the opening and closing resistance change index zqb after dimensionless processing. The opening and closing resistance change index zqb is obtained by the following formula: ； Wherein, zcj represents the sediment blocking index, jqb represents the opening and closing torque, vsb represents the friction sound wave frequency, d1, d2 and d3 represent the weight values ​​of the sediment blocking index zcj, the opening and closing torque jqb and the friction sound wave frequency vsb respectively, and D represents the fourth correction constant.

8. The intelligent valve control system according to claim 5, characterized in that: The valve function degradation total evaluation unit is used to obtain the valve function degradation index zth after performing machine learning calculation and dimensionless processing on the physical wear index zms, the valve body leakage index zxl and the opening and closing resistance change index zqb. The valve function degradation index zth is obtained by the following formula: ； In the formula, , and They are respectively expressed as the weight values ​​of the physical wear index zms, the valve body leakage index zxl and the opening and closing resistance change index zqb.

9. The intelligent valve control system according to claim 1, characterized in that: The regulating control module is used to compare and analyze the valve function degradation index zth with a preset function degradation threshold G, obtain corresponding regulating control instructions, and make corresponding regulating measures according to the regulating control instructions. The specific contents are as follows: If the valve function degradation index zth is less than the function degradation threshold G, that is, zth<G, it indicates that the current function state of the valve is in a normal state, and at this time, a first adjustment control instruction is issued and executed. The execution measures of the first adjustment control instruction are: continue to monitor the operation state of the valve and record relevant parameters as part of the reference for later maintenance; If the valve function degradation index zth is greater than or equal to the function degradation threshold G, that is, zth≥G, it means that the current functional state of the valve is in a functional abnormal state. At this time, a second adjustment control instruction is issued and executed. The execution measures of the second adjustment control instruction are: notify the maintenance personnel to immediately conduct a comprehensive inspection of the valve, find and repair the specific causes of the functional degradation, replace the damaged valve seat, valve core, valve stem and sealing components according to the test results, and clean the inside of the valve to remove sediment. After the replacement is completed, calibrate and debug the valve.

10. A method for regulating and controlling an intelligent valve, used to implement a regulating and controlling system of an intelligent valve as claimed in any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: First, the sediment blockage situation when the valve is open is identified and monitored to obtain sediment blockage status information, and after preprocessing, a sediment blockage status data group is formed and transmitted to the blockage preprocessing module; Step 2: Secondly, the received sediment blocking state information is analyzed to obtain the sediment blocking index zcj, and it is compared with the preset blocking threshold S to determine whether a blocking warning instruction needs to be issued; Step 3: In addition, data is identified and collected on the wear condition of the components inside the valve and the leakage condition of the valve body, and the wear information of the components and the leakage condition of the valve body are obtained respectively. The data are collected according to the opening and closing state of the valve, and the sediment blocking index zcj is introduced at the same time to obtain the change information of the opening and closing resistance of the switch; Step 4: After receiving the blocking warning instruction, analyze and calculate the parts wear information, valve body leakage status information and switch opening and closing resistance change information, and obtain the physical wear index zms, valve body leakage index zxl and opening and closing resistance change index zqb in turn, and combine the deep neural network to build a model, and after dimensionless processing, fit and obtain the valve function degradation index zth; Step 5: Finally, the obtained valve function degradation index zth is compared and analyzed with the preset function degradation threshold G, the corresponding control instruction is obtained, and corresponding adjustment measures are taken according to the control instruction.

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