Intelligent data visualization and regulation and control system of pipe network valve

Abstract

The invention relates to the field of data analysis, in particular to an intelligent data visualization and regulation system of a pipe network valve, which comprises a data processing module, a delay analysis module, a delay influence module and a visualization regulation module, and is characterized in that the data processing module determines a resistance sudden change characteristic value, an adhesion influence characteristic value and a valve interference characteristic value; the delay analysis module calculates an operation delay characterization value so as to determine the operation delay tendency of the valve, the delay influence module responds to the abnormal operation delay tendency, calculates a delay influence coefficient so as to judge the pipe network medium delay transmission state and calls the visual regulation and control module, and the visual regulation and control module responds to the abnormal operation delay tendency and calculates the delay influence coefficient so as to judge the pipe network medium delay transmission state. And the valve regulation and control module is used for regulating and controlling the valve based on the judgment result of the pipe network medium delayed transmission state. According to the method, the stress and impurity characteristics when the valve is opened are analyzed, the delay state of the valve is determined, and the influence of valve delay on pipe network transmission is determined in combination with mutual interference of the pipe network valve, so that the valve is adjusted.

Description

Technical Field

[0001] This invention relates to the field of data analysis, and in particular to an intelligent data visualization and control system for pipeline valves. Background Technology

[0002] The management of pipeline valves has long relied on manual inspections and basic remote monitoring, facing core problems such as information opacity, delayed response, and decision-making dependent on experience. Traditional manual methods are insufficient to grasp the valve status in real time and comprehensively. While existing remote monitoring can collect some data and execute simple control commands, its visualization level is low and its data insight is insufficient. It usually only provides basic values ​​and alarms, making it difficult to intuitively understand the complex relationship between the overall pipeline status and valves. At the same time, data is often isolated from other systems, forming information silos and lacking in-depth integration and analysis. Control capabilities are also relatively limited, mainly relying on preset rules or operator experience, making it difficult to achieve intelligent and adaptive optimization control strategies. This makes traditional technologies unable to meet the needs of modern pipeline networks for efficient, safe, and intelligent operation, urgently requiring a comprehensive system that can deeply integrate real-time data, provide intelligent visual insights, and support advanced analysis and optimization control.

[0003] Chinese Patent Publication No. CN119802466A discloses a method for optimizing and controlling a steam pipeline network based on valve characteristics. The method includes: Step 1: Correcting the factory characteristic curve of each valve in the steam pipeline network to obtain the valve characteristic curve; Step 2: Establishing a steady-state model of the pipeline network based on the geometric parameters, physical property parameters, and steady-state operation data of the steam pipeline network; Step 3: Constructing a characteristic relationship database of the valve opening degree and hydraulic conditions of each valve in the steam pipeline network; Step 4: When the steam load at the user end changes from a first steam consumption to a second steam consumption, using the pipeline network steady-state model and valve characteristic curves as constraints, retrieving the opening degree of each valve corresponding to the second steam consumption from the characteristic relationship database; and regulating each valve according to the retrieved valve opening degree. Since the number of pipeline network steady-state models and valve opening degree data matrices is limited, this invention couples and enumerates the two to form a characteristic relationship database, which greatly simplifies modeling and solving, reduces costs, and ensures the efficiency of later applications.

[0004] Chinese Patent Publication No. CN115749689A discloses an intelligent decision-making and control system and method for gas extraction pipeline networks. Its purpose is to solve the problems of uncontrollable negative pressure during gas extraction and blind control of the extraction system. The invention includes a flow calculation model for the gas extraction pipeline network system and an intelligent decision-making and control model for gas extraction. With the goal of maximizing the pure gas volume in the pipeline network and valve opening as the decision variable, an intelligent decision-making and control model for gas extraction is established. This model, along with the flow calculation model for the gas extraction pipeline network system, is used to calculate the gas control scheme, ultimately proposing the optimal gas extraction control scheme and enabling remote intelligent control of the valve opening on the ground, thereby significantly improving the safety and efficiency of the gas extraction system.

[0005] However, the following problems still exist in the existing technology. In practice, at the moment a pipeline valve is opened, due to the fluid stratification phenomenon inside the valve body, the downstream medium forms a turbulent transient impact on the valve, causing the impact load it bears to increase instantaneously. At the same time, impurities contained in the medium are prone to deposit or accumulate on the critical surfaces of the valve. This phenomenon will further accelerate the wear rate of the valve, causing the valve to experience delays and affecting its normal operation. Summary of the Invention

[0006] To address this issue, the present invention provides an intelligent data visualization and control system for pipeline valves. This system solves the problem that, at the moment a pipeline valve is opened, due to fluid stratification within the valve body, downstream media creates turbulent transient impacts on the valve, causing a sudden increase in the impact load. Simultaneously, impurities contained in the media tend to deposit or accumulate on critical valve surfaces, further accelerating valve wear and causing valve delays, thus affecting normal valve operation.

[0007] To achieve the above objectives, the present invention provides an intelligent data visualization and control system for pipeline valves, comprising: The data processing module is used to acquire near-end stress data during valve opening to determine resistance mutation characteristic values, acquire impurity characteristics of the transport medium and ambient temperature to determine the adhesion influence characteristic values ​​of the valve, acquire valve data and valve spacing, and determine valve interference characteristic values. The delay analysis module, which is connected to the data processing module, is used to calculate the valve's operating delay characterization value based on the resistance mutation characteristic value and the adhesion influence characteristic value, so as to determine the valve's operating delay tendency. The delay impact module, which is connected to the data processing module and the delay analysis module, responds to the abnormal operation delay tendency of the valve, combines the operation delay characterization value and the valve interference characteristic value to calculate the delay impact coefficient, which is used to determine the delay transmission status of the pipeline medium and call the visualization control module. A visualization control module, connected to the delay effect module, is used to issue adjustment signals based on the determination result of the delay transmission state of the pipeline medium to control the valve. The stress data includes stress generated by the dynamic impact of the medium and shear stress during valve opening; the impurity characteristics include impurity particle diameter and impurity viscosity; the adjustment signals include maintenance and replacement; and the valve data includes the number of linked valves and the total number of valves.

[0008] Furthermore, the data processing module determines the resistance mutation characteristic values, including: Used to determine the time-domain curve corresponding to the stress; Used to calculate the variance corresponding to several bending points in the time-domain curve; The ratio of the shear stress to the reference shear stress is used to determine the shear stress influence factor; The average of the sum of the reciprocal of the variance and the shear stress influence factor is used to determine the resistance mutation characteristic value.

[0009] Furthermore, the data processing module determines the adhesion influence characteristic values ​​of the valve, including: The particle adhesion factor is used to determine the ratio of the reference impurity particle diameter to the impurity particle diameter. Used to determine the adhesion degree of the impurities as an adhesion factor; The temperature adhesion factor is used to determine the ratio of the ambient temperature to the reference ambient temperature. The average of the sum of the particle adhesion factor, the adhesion adhesion factor, and the temperature adhesion factor is used to determine the adhesion influence characteristic value.

[0010] Furthermore, the data processing module determines the valve interference characteristic values, including: The ratio of the number of linked valves to the total number of valves is used to determine the quantity influence factor; The ratio of the reference valve spacing to the valve spacing is used to determine the spacing influence factor; The ratio of the quantity influence factor to the spacing influence factor is used to determine the valve interference characteristic value.

[0011] Furthermore, the delay analysis module calculates the valve's operating delay characterization value, including: The first delay factor is used to determine the ratio of the resistance mutation characteristic value to the benchmark resistance mutation characteristic value; The second delay factor is used to determine the ratio of the adhesion effect characteristic value to the reference adhesion effect characteristic value. This is used to determine the weighted sum of the first delay factor and the second delay factor as the runtime delay characterization value.

[0012] Furthermore, the delay analysis module determines the valve's operating delay tendency, wherein, If the operating delay characterization value is greater than the operating delay characterization value threshold, then the operating delay tendency of the valve is determined to be an abnormal operating delay tendency; If the operating delay characterization value is less than or equal to the operating delay characterization value threshold, then the operating delay tendency of the valve is determined to be the normal operating delay tendency.

[0013] Furthermore, the delay impact module calculates the delay impact coefficient, including: The first interference influence factor is used to determine the ratio of the operating delay characterization value to the baseline operating delay characterization value. The ratio of the valve interference characteristic value to the reference valve interference characteristic value is used to determine the second interference influence factor; The weighted sum of the first interference influence factor and the second interference influence factor is used to determine the time delay influence coefficient.

[0014] Furthermore, the delay impact module determines the delay transmission status of the pipeline medium and calls the visualization control module, wherein... If the delay impact coefficient is greater than the delay impact coefficient threshold, then the pipeline medium delay transmission state is determined to be a strong abnormal delay transmission tendency. If the delay impact coefficient is less than or equal to the delay impact coefficient threshold, then the pipeline medium delay transmission state is determined to be a weak abnormal delay transmission tendency.

[0015] Furthermore, the visualization control module, based on the determination result of the pipeline medium delay transmission state, issues an adjustment signal to control the valve, wherein... If the pipeline medium delay transmission state shows a strong abnormal delay transmission tendency, then locate the valve and replace it. If the pipeline medium delay transmission state is a weak abnormal delay transmission tendency, the number of maintenance operations will be adjusted based on the delay impact coefficient.

[0016] Furthermore, the number of maintenance operations is positively correlated with the delay impact coefficient.

[0017] Compared with existing technologies, this invention includes a data processing module, a delay analysis module, a delay impact module, and a visualization and control module. The data processing module determines resistance mutation characteristic values, adhesion impact characteristic values, and valve interference characteristic values. The delay analysis module calculates operational delay characterization values ​​to determine the valve's operational delay tendency. The delay impact module responds to abnormal operational delay tendencies by calculating a delay impact coefficient to determine the pipeline medium delay transmission state and then invokes the visualization and control module. Based on the determination result of the pipeline medium delay transmission state, the visualization and control module issues adjustment signals to regulate the valve. This invention analyzes the stress and impurity characteristics when the valve is opened to determine the valve's delay state. Combined with the mutual interference of pipeline valves, it determines the impact of valve delay on pipeline transmission, thereby adjusting the valve accordingly.

[0018] In particular, this invention identifies resistance mutation characteristic values, providing a data foundation for subsequent calculations of runtime characterization values. In practice, during the valve opening process, the originally completely closed flow channel begins to appear and expand into a temporary cavity region. Because the pressure in this cavity region is significantly lower than the steady-state pressure of the upstream medium, a strong pressure gradient difference is formed. This pressure difference drives the upstream medium to surge into and fill the cavity region at a transient high speed much higher than the normal flow velocity until the valve is fully open. This transient process of the medium surging into the cavity will generate a significant dynamic impact load on the valve structure, resulting in an instantaneous impact load much higher than the material yield strength. Furthermore, during the high-speed influx of the medium, the shear force acting on the valve opening direction increases dramatically, generating not only positive pressure but also significant reverse drag force due to complex flow separation and vortex formation effects. Under the combined effect of these two factors, the originally set power output may be insufficient to overcome this peak resistance, resulting in an overall delay in valve opening. Based on this, this invention considers focusing on the transient impact force of the medium from the perspective of fluid dynamics and structural dynamics coupling, calculating the characteristic value of resistance mutation, providing a data basis for calculating the characterization value of operating delay, and providing a theoretical basis for subsequent valve control.

[0019] In particular, this invention determines the characteristic values ​​of adhesion effects by analyzing impurity characteristics and temperature, providing a data basis for subsequent calculation of valve interference characteristic values. In practice, solid impurities contained in the transport medium are prone to interparticle adhesion and wall adhesion due to surface physicochemical effects, resulting in retention and aggregation. Consequently, they are deposited layer by layer in the valve vortex zone to form porous aggregates, hindering the flow of the transport medium. It is understood that reducing the particle size of impurities will increase their specific surface area, enhancing the probability of contact and the intensity of force between particles. When the particle size is <50μm, the adhesion tendency increases exponentially. If the ambient temperature rises at this time, it will intensify the thermal motion of the medium molecules, enhance the adhesion force between impurity particles, and cause the aggregates to continue to grow, thereby reducing the effective cross-sectional area of ​​the valve flow channel, increasing local resistance loss, and reducing the transport efficiency of the medium. Based on this, this invention considers comprehensively analyzing the impurity characteristics of the transport medium and the ambient temperature to determine the characteristic values ​​of impurity adhesion effects, providing a data basis for calculating the characterization value of operating delay and a theoretical basis for subsequent valve control.

[0020] In particular, this invention calculates valve interference characteristic values, providing a data foundation for subsequent calculation of delay influence coefficients. In actual operation, interference exists between valves in the pipeline network. When a valve experiences a delay, it fails to change the flow or pressure state of the medium as expected, which disrupts the original system balance. This imbalance propagates in the pipeline network in the form of pressure disturbance waves, directly affecting the normal operation of several associated valves. For example, associated valves are originally adjusted according to specific operating conditions, but pressure fluctuations or flow anomalies caused by delayed valves can lead to deviations in the information received by associated valves, causing the detected input conditions to deviate from the actual requirements, resulting in unstable operation. Furthermore, the smaller the valve spacing, the smaller the pipeline volume between valves and the weaker the buffering capacity. In this case, associated valves with smaller spacing are more susceptible to interference. Based on this, this invention considers calculating valve interference characteristic values ​​from the perspective of valve interference, analyzing the impact of delayed valves on medium flow, and providing a theoretical basis for valve control.

[0021] In particular, this invention calculates the operating delay characterization value to characterize the valve's delay status. In the actual operation of the transported medium, the transient abnormal pressure fluctuations caused by the dynamic impact of the medium and the adhesion and deposition of medium impurities on the key moving parts of the valve will couple to form significant nonlinear resistance, resulting in abnormal delays in the valve opening process, which in turn affects the normal transport of the medium and the efficiency of the pipeline network. Especially for pipeline systems that require precise timing control, the valve opening delay may lead to control logic failure, process fluctuations, or even system safety accidents. Based on this, this invention considers calculating the operating delay characterization value to analyze the valve's delay status and provide a theoretical basis for subsequent valve control. Attached Figure Description

[0022] Figure 1A schematic diagram of the intelligent data visualization and control system for pipeline valves, as shown in an embodiment of the invention; Figure 2 A logic block diagram for determining the operating delay tendency of the valve using the delay analysis module in an embodiment of the invention; Figure 3 This is a logic block diagram of the delay impact module for determining the delay transmission status of pipeline media in an embodiment of the invention. Figure 4 This is a logic block diagram of the visualization control module controlling the valve in an embodiment of the invention. Detailed Implementation

[0023] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0024] It should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the term "connection" should be interpreted broadly. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0025] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0026] Please see Figure 1 , Figure 1 This is a schematic diagram of the intelligent data visualization and control system for pipeline valves according to an embodiment of the invention. The intelligent data visualization and control system for pipeline valves of the present invention includes: The data processing module is used to acquire near-end stress data during valve opening to determine resistance mutation characteristic values, acquire impurity characteristics of the transport medium and ambient temperature to determine the adhesion influence characteristic values ​​of the valve, acquire valve data and valve spacing, and determine valve interference characteristic values. The delay analysis module, which is connected to the data processing module, is used to calculate the valve's operating delay characterization value based on the resistance mutation characteristic value and the adhesion influence characteristic value, so as to determine the valve's operating delay tendency. The delay impact module, which is connected to the data processing module and the delay analysis module, responds to the abnormal operation delay tendency of the valve, combines the operation delay characterization value and the valve interference characteristic value to calculate the delay impact coefficient, which is used to determine the delay transmission status of the pipeline medium and call the visualization control module. A visualization control module, connected to the delay effect module, is used to issue adjustment signals based on the determination result of the delay transmission state of the pipeline medium to control the valve. The stress data includes stress generated by the dynamic impact of the medium and shear stress during valve opening; the impurity characteristics include impurity particle diameter and impurity viscosity; the adjustment signals include maintenance and replacement; and the valve data includes the number of linked valves and the total number of valves.

[0027] Specifically, the valve opening period is the specific time from when the valve opening command is issued to when the valve is fully opened. The proximal end is the area involved in the valve opening process. For example, the valve opening process can be approximated as a slowly elongating cylinder, and this cylinder is the proximal end region, which will not be elaborated further.

[0028] Specifically, the visual control module can issue control signals to provide timely warnings for valves that need to be controlled. These control signals can be sound signals or light signals, which can be determined by those skilled in the art based on the actual situation, as long as the warning purpose is achieved, which will not be elaborated further here.

[0029] Specifically, there are no restrictions on the method of obtaining stress data. For example, strain gauges can be installed on valves to detect resistance values, and strain can be calculated by measuring the change in resistance. Then, relevant data can be calculated based on the elastic modulus and Poisson's ratio of the material. Of course, those skilled in the art can also use other methods, as long as stress data can be obtained. This will not be elaborated further.

[0030] Specifically, there are no restrictions on the method of obtaining the characteristics of impurities. For example, data can be obtained by pre- or periodic sampling and testing of the transport medium, or by directly utilizing publicly available data from existing open-source databases, industry reports, historical monitoring records, or literature. This will not be elaborated further.

[0031] Specifically, there are no restrictions on the method of obtaining valve data. For example, it can be obtained directly from original technical documents such as pipeline design documents, construction drawings and material lists. Of course, those skilled in the art can also use other methods to obtain it, which will not be elaborated here.

[0032] Specifically, linked valves refer to all valves through which the same transport medium flows.

[0033] Specifically, the data processing module determines the characteristic values ​​of resistance mutations, including: Used to determine the time-domain curve corresponding to the stress; Used to calculate the variance corresponding to several bending points in the time-domain curve; The ratio of the shear stress to the reference shear stress is used to determine the shear stress influence factor; The average of the sum of the reciprocal of the variance and the shear stress influence factor is used to determine the resistance mutation characteristic value.

[0034] Specifically, the reference shear stress is calculated in advance by obtaining the shear stress of the medium during several normal transportation processes and determining the average value of each historical shear stress as the reference shear stress.

[0035] Specifically, this invention determines the characteristic value of resistance mutation, providing a data basis for subsequent calculation of the runtime characterization value. In actual practice, during the valve opening process, the originally completely closed flow channel begins to appear and expand into a temporary cavity region. Because the pressure in this cavity region is significantly lower than the steady-state pressure of the upstream medium, a strong pressure gradient difference is formed. This pressure difference drives the upstream medium to surge into and fill the cavity region at a transient high speed much higher than the normal flow velocity until the valve is fully open. This transient process of the medium surging into the cavity will generate a significant dynamic impact load on the valve structure, resulting in an instantaneous impact load much higher than the material's... Furthermore, during the high-speed influx of the medium, the shear force acting on the valve opening direction increases dramatically, generating not only positive pressure but also significant reverse drag force due to complex flow separation and vortex formation effects. Under the combined effect of these two factors, the originally set power output may be insufficient to overcome this peak resistance, resulting in an overall delay in valve opening. Based on this, this invention considers focusing on the transient impact force of the medium from the perspective of fluid dynamics and structural dynamics coupling, calculating the characteristic value of resistance mutation, providing a data basis for calculating the characterization value of operating delay, and providing a theoretical basis for subsequent valve control.

[0036] Specifically, the data processing module determines the adhesion influence characteristic values ​​of the valve, including, The particle adhesion factor is used to determine the ratio of the reference impurity particle diameter to the impurity particle diameter. Used to determine the adhesion degree of the impurities as an adhesion factor; The temperature adhesion factor is used to determine the ratio of the ambient temperature to the reference ambient temperature. The average of the sum of the particle adhesion factor, the adhesion adhesion factor, and the temperature adhesion factor is used to determine the adhesion influence characteristic value.

[0037] Specifically, the reference impurity particle diameter is calculated in advance by obtaining the diameters of impurity particles in the transmission medium during several transmission processes, and determining the average of the sum of the diameters as the reference impurity particle. This will not be elaborated further.

[0038] Specifically, the reference ambient temperature is calculated in advance by acquiring the ambient temperature during several transmission processes and determining the average of the sum of these ambient temperatures as the reference ambient temperature.

[0039] Specifically, this invention analyzes the characteristics of impurities and temperature to determine the characteristic values ​​of adhesion effects, providing a data basis for subsequent calculation of valve interference characteristic values. In practice, solid impurities contained in the transport medium are prone to interparticle adhesion and wall adhesion due to surface physicochemical effects, resulting in retention and aggregation. Consequently, they are deposited layer by layer in the valve vortex zone to form porous aggregates, hindering the flow of the transport medium. It is understood that reducing the particle size of impurities will increase their specific surface area, enhancing the probability of contact and the intensity of force between particles. When the particle size is <50μm, the adhesion tendency increases exponentially. If the ambient temperature rises at this time, it will intensify the thermal motion of the medium molecules, enhance the adhesion force between impurity particles, and cause the aggregates to continue to grow, thereby reducing the effective cross-sectional area of ​​the valve flow channel, increasing local resistance loss, and reducing the transport efficiency of the medium. Based on this, this invention considers comprehensively analyzing the impurity characteristics of the transport medium and the ambient temperature to determine the characteristic values ​​of impurity adhesion effects, providing a data basis for calculating the characterization value of operating delay and a theoretical basis for subsequent valve control.

[0040] Specifically, the data processing module determines the valve interference characteristic values, including: The ratio of the number of linked valves to the total number of valves is used to determine the quantity influence factor; The ratio of the reference valve spacing to the valve spacing is used to determine the spacing influence factor; The ratio of the quantity influence factor to the spacing influence factor is used to determine the valve interference characteristic value.

[0041] Specifically, the baseline valve spacing is calculated in advance. The total length of the pipeline network is obtained in advance, and the ratio of the total length of the pipeline network to the total number of valves is determined as the baseline valve spacing.

[0042] Specifically, this invention calculates valve interference characteristic values ​​to provide a data foundation for subsequent calculation of delay influence coefficients. In actual operation, interference exists between valves in the pipeline network. When a valve experiences a delay, it fails to change the flow or pressure state of the medium as expected, which disrupts the original system balance. This imbalance propagates in the pipeline network in the form of pressure disturbance waves, directly affecting the normal operation of several associated valves. For example, associated valves may be adjusted according to specific operating conditions, but pressure fluctuations or flow anomalies caused by delayed valves can lead to deviations in the information received by the associated valves, causing the detected input conditions to deviate from the actual requirements, resulting in unstable operation. Furthermore, the smaller the valve spacing, the smaller the pipeline volume between the valves and the weaker the buffering capacity. In this case, associated valves with smaller spacing are more susceptible to interference. Based on this, this invention considers calculating valve interference characteristic values ​​from the perspective of valve interference, analyzing the impact of delayed valves on medium flow, and providing a theoretical basis for valve control.

[0043] Specifically, the delay analysis module calculates the valve's operating delay characteristics, including: The first delay factor is used to determine the ratio of the resistance mutation characteristic value to the benchmark resistance mutation characteristic value; The second delay factor is used to determine the ratio of the adhesion effect characteristic value to the reference adhesion effect characteristic value. This is used to determine the weighted sum of the first delay factor and the second delay factor as the runtime delay characterization value.

[0044] Specifically, the baseline resistance mutation characteristic value is calculated in advance. Several resistance mutation characteristic values ​​of the medium under normal transportation are obtained in advance, and the average value of each resistance mutation characteristic value is determined as the baseline resistance mutation characteristic value.

[0045] Specifically, the baseline adhesion influence characteristic value is calculated in advance. Several adhesion influence characteristic values ​​of the medium under normal transportation are obtained in advance, and the average value of each adhesion influence characteristic value is determined as the baseline adhesion influence characteristic value.

[0046] Specifically, the sum of the weighting coefficients of the first delay factor and the second delay factor is 1. When adjusting the weighting coefficients, considering that the adhesion of impurities has a greater impact on the valve's delay, the weighting coefficient of the first delay factor is determined to be 0.4 and the weighting coefficient of the second delay factor is 0.6.

[0047] Specifically, this invention calculates the operating delay characterization value to characterize the valve's delay status. In the actual operation of the transported medium, transient abnormal pressure fluctuations caused by the dynamic impact of the medium and the adhesion and deposition of medium impurities on the key moving parts of the valve will couple to form significant nonlinear resistance, resulting in abnormal delays in the valve opening process. This, in turn, affects the normal transport of the medium and the efficiency of the pipeline network. Especially for pipeline systems that require precise timing control, the valve opening delay may lead to control logic failure, process fluctuations, or even system safety accidents. Based on this, this invention considers calculating the operating delay characterization value to analyze the valve's delay status and provide a theoretical basis for subsequent valve control.

[0048] Please see Figure 2 , Figure 2 A logic block diagram is provided for the delay analysis module of this invention embodiment to determine the operating delay tendency of the valve. Specifically, the delay analysis module determines the operating delay tendency of the valve, wherein... If the operating delay characterization value is greater than the operating delay characterization value threshold, then the operating delay tendency of the valve is determined to be an abnormal operating delay tendency; If the operating delay characterization value is less than or equal to the operating delay characterization value threshold, then the operating delay tendency of the valve is determined to be the normal operating delay tendency.

[0049] Specifically, the purpose of setting the threshold value for the operating delay characterization value is to determine a boundary for the normal operation of the valve. It is calculated in advance by obtaining historical operating delay characterization values ​​during the normal transportation of several media. The product of the mean of each historical operating delay characterization value and the delay coefficient is determined as the operating delay characterization value threshold value. In order to improve the accuracy of the delay analysis, the delay coefficient is determined to be 0.85 in the implementation.

[0050] Specifically, the delay impact module calculates the delay impact coefficient, including: The first interference influence factor is used to determine the ratio of the operating delay characterization value to the baseline operating delay characterization value. The ratio of the valve interference characteristic value to the reference valve interference characteristic value is used to determine the second interference influence factor; The weighted sum of the first interference influence factor and the second interference influence factor is used to determine the time delay influence coefficient.

[0051] Specifically, the benchmark operating delay characterization value is determined as the benchmark operating delay characterization value corresponding to the benchmark resistance mutation characteristic value and the benchmark adhesion influence characteristic value.

[0052] Specifically, the reference valve interference characteristic value is calculated in advance, and the resistance mutation characteristic value under normal medium transportation is obtained in advance. The average value of each resistance mutation characteristic value is determined as the reference resistance mutation characteristic value.

[0053] Specifically, the sum of the weighting coefficients of the first interference influence factor and the second interference influence factor is 1. When weighting, considering that the operating delay state of the valve has a significant impact on the pipeline network, the weighting coefficient of the first interference influence factor is set to 0.6 and the weighting coefficient of the second interference influence factor is set to 0.4.

[0054] Please see Figure 3 , Figure 3 This is a logic block diagram illustrating how the delay impact module determines the delay transmission status of the pipeline medium in an embodiment of the invention. Specifically, the delay impact module determines the delay transmission status of the pipeline medium and calls the visualization control module, wherein... If the delay impact coefficient is greater than the delay impact coefficient threshold, then the pipeline medium delay transmission state is determined to be a strong abnormal delay transmission tendency. If the delay impact coefficient is less than or equal to the delay impact coefficient threshold, then the pipeline medium delay transmission state is determined to be a weak abnormal delay transmission tendency.

[0055] Specifically, the purpose of setting the delay influence coefficient threshold is to set an influence boundary for the delay state of the pipeline network. The threshold is determined by obtaining the delay influence coefficients during several normal transportation processes of the medium, and the product of the mean of each delay influence coefficient and the abnormal coefficient. In order to improve the response accuracy, the abnormal coefficient is determined to be 0.9 in implementation.

[0056] Please see Figure 4 , Figure 4 This is a logic block diagram illustrating how the visualization control module controls the valve according to an embodiment of the invention. Specifically, the visualization control module issues an adjustment signal based on the determination result of the pipeline medium delay transmission state to control the valve. If the pipeline medium delay transmission state shows a strong abnormal delay transmission tendency, then locate the valve and replace it. If the pipeline medium delay transmission state is a weak abnormal delay transmission tendency, the number of maintenance operations will be adjusted based on the delay impact coefficient.

[0057] Understandably, the visualization control module stores detailed coordinates of each valve to quickly determine its location and facilitate maintenance or replacement.

[0058] Specifically, the number of maintenance operations is positively correlated with the delay impact coefficient.

[0059] Specifically, When the delay impact coefficient is greater than or equal to 0.5 times the delay impact coefficient threshold and less than or equal to the delay impact coefficient threshold, the number of maintenance operations is 3 times the normal number of maintenance operations. When the delay impact coefficient is less than 0.5 times the delay impact coefficient threshold but greater than 0.25 times the delay impact coefficient threshold, the number of maintenance operations is twice the normal number of maintenance operations. When the delay impact coefficient is less than or equal to 0.25 times the threshold of the delay impact coefficient, the number of maintenance operations is 1.5 times the number of normal maintenance operations. It is understandable that the number of maintenance operations is a natural number, and decimals are rounded up.

[0060] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0061] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. An intelligent data visualization and control system for pipeline valves, characterized in that, include: The data processing module is used to acquire near-end stress data during valve opening to determine resistance mutation characteristic values, acquire impurity characteristics of the transport medium and ambient temperature to determine the adhesion influence characteristic values ​​of the valve, acquire valve data and valve spacing, and determine valve interference characteristic values. The delay analysis module, which is connected to the data processing module, is used to calculate the valve's operating delay characterization value based on the resistance mutation characteristic value and the adhesion influence characteristic value, so as to determine the valve's operating delay tendency. The delay impact module, which is connected to the data processing module and the delay analysis module, responds to the abnormal operation delay tendency of the valve, combines the operation delay characterization value and the valve interference characteristic value to calculate the delay impact coefficient, which is used to determine the delay transmission status of the pipeline medium and call the visualization control module. A visualization control module, connected to the delay effect module, is used to issue adjustment signals based on the determination result of the delay transmission state of the pipeline medium to control the valve. The stress data includes stress generated by the dynamic impact of the medium and shear stress during valve opening; the impurity characteristics include impurity particle diameter and impurity viscosity; the adjustment signals include maintenance and replacement; and the valve data includes the number of linked valves and the total number of valves.

2. The intelligent data visualization and control system for pipeline valves according to claim 1, characterized in that, The data processing module determines the resistance mutation characteristic value. include, Used to determine the time-domain curve corresponding to the stress; Used to calculate the variance corresponding to several bending points in the time-domain curve; The ratio of the shear stress to the reference shear stress is used to determine the shear stress influence factor; The average of the sum of the reciprocal of the variance and the shear stress influence factor is used to determine the resistance mutation characteristic value.

3. The intelligent data visualization and control system for pipeline valves according to claim 1, characterized in that, The data processing module determines the adhesion influence characteristic values ​​of the valve, including, The particle adhesion factor is used to determine the ratio of the reference impurity particle diameter to the impurity particle diameter. Used to determine the adhesion degree of the impurities as an adhesion factor; The temperature adhesion factor is used to determine the ratio of the ambient temperature to the reference ambient temperature. The average of the sum of the particle adhesion factor, the adhesion adhesion factor, and the temperature adhesion factor is used to determine the adhesion influence characteristic value.

4. The intelligent data visualization and control system for pipeline valves according to claim 1, characterized in that, The data processing module determines the valve interference characteristic values. include, The ratio of the number of linked valves to the total number of valves is used to determine the quantity influence factor; The ratio of the reference valve spacing to the valve spacing is used to determine the spacing influence factor; The ratio of the quantity influence factor to the spacing influence factor is used to determine the valve interference characteristic value.

5. The intelligent data visualization and control system for pipeline valves according to claim 1, characterized in that, The delay analysis module calculates the valve's operating delay characterization value, including: The first delay factor is used to determine the ratio of the resistance mutation characteristic value to the benchmark resistance mutation characteristic value; The second delay factor is used to determine the ratio of the adhesion effect characteristic value to the reference adhesion effect characteristic value. This is used to determine the weighted sum of the first delay factor and the second delay factor as the runtime delay characterization value.

6. The intelligent data visualization and control system for pipeline valves according to claim 1, characterized in that, The delay analysis module determines the valve's operating delay tendency, wherein, If the operating delay characterization value is greater than the operating delay characterization value threshold, then the operating delay tendency of the valve is determined to be an abnormal operating delay tendency; If the operating delay characterization value is less than or equal to the operating delay characterization value threshold, then the operating delay tendency of the valve is determined to be the normal operating delay tendency.

7. The intelligent data visualization and control system for pipeline valves according to claim 1, characterized in that, The delay impact module calculates the delay impact coefficient, including: The first interference influence factor is used to determine the ratio of the operating delay characterization value to the baseline operating delay characterization value. The ratio of the valve interference characteristic value to the reference valve interference characteristic value is used to determine the second interference influence factor; The weighted sum of the first interference influence factor and the second interference influence factor is used to determine the time delay influence coefficient.

8. The intelligent data visualization and control system for pipeline valves according to claim 1, characterized in that, The delay impact module determines the delay transmission status of the pipeline medium and calls the visualization control module, wherein... If the delay impact coefficient is greater than the delay impact coefficient threshold, then the pipeline medium delay transmission state is determined to be a strong abnormal delay transmission tendency. If the delay impact coefficient is less than or equal to the delay impact coefficient threshold, then the pipeline medium delay transmission state is determined to be a weak abnormal delay transmission tendency.

9. The intelligent data visualization and control system for pipeline valves according to claim 8, characterized in that, The visualization control module, based on the determination result of the pipeline medium delay transmission state, issues an adjustment signal to control the valve, wherein... If the pipeline medium delay transmission state is a strong abnormal delay transmission tendency, then locate the valve and replace the corresponding valve; If the pipeline medium delay transmission state is a weak abnormal delay transmission tendency, the number of maintenance operations will be adjusted based on the delay impact coefficient.

10. The intelligent data visualization and control system for pipeline valves according to claim 9, characterized in that, The number of maintenance operations is positively correlated with the delay impact coefficient.

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