A sealing pressure distribution control method and system for a full-closed blind plate valve

Abstract

The application provides a sealing pressure distribution control method and system for a full-closed blind plate valve, relates to the technical field of automatic control, and determines the stress distribution diagram of the sealing surface through finite element modeling of the full-closed blind plate valve, stress response distribution simulation under a first mode, equivalent pressure partition based on stress sensitivity, and the construction of multiple sealing surface sub-areas; the partition pressure is compared with the target sealing pressure in real time under the first mode, the partition loader thrust is determined to control the partition pressure, then the pressure fluctuation is detected according to a preset period, the pressure abnormality is located and reduced, the adjacent partition is used for peripheral area thrust compensation and synchronous alarm. The application solves the technical problems that the sealing surface of the blind plate valve lacks partition adjustment control mechanism in the prior art, the sealing pressure control precision is limited, and local pressure leakage or overpressure is prone to occur, and achieves the technical effects of improving the sealing reliability and adaptive regulation and control capacity.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of automatic control, in particular to a sealing pressure distributed control method and system of a full-closed blind plate valve. BACKGROUND

[0002] As a key equipment for realizing medium cut-off and isolation in pipeline systems, the full-closed blind plate valve is widely used in industries such as chemical industry, power industry, metallurgy industry and other industries with high sealing performance requirements. The existing sealing pressure control of the full-closed blind plate valve mainly adopts the overall loading control mode, that is, a sealing pressure is applied to the sealing surface of the blind plate valve to realize the sealing effect. However, in actual working conditions, the different areas of the sealing surface have different requirements for the pressure, and the sealing surface structure usually has manufacturing errors, temperature gradients, uneven medium pressure and other conditions, which makes the actual stress state difficult to be uniformly distributed. The overall loading control cannot meet these differentiated sealing requirements, so that the sealing performance is difficult to reach the best state, which is easy to cause the overpressure or pressure leakage phenomenon in the local area, not only causing the waste of energy, but also possibly causing damage to the sealing element and shortening the service life of the equipment. SUMMARY

[0003] The present application provides a sealing pressure distributed control method and system of a full-closed blind plate valve, which solves the technical problem that the sealing pressure control precision is limited and the local pressure leakage or overpressure is easy to occur due to the overall loading control of the sealing surface of the full-closed blind plate valve and the lack of partition adjustment in the prior art, and achieves the technical effects of realizing the accurate partition control of the sealing pressure and improving the sealing reliability and self-adaptive control ability of the full-closed blind plate valve.

[0004] In view of the above problems, on the one hand, the present application provides a sealing pressure distributed control method of a full-closed blind plate valve, which comprises: collecting working condition modeling data set of the full-closed blind plate valve; performing finite element modeling based on the working condition modeling data set, executing stress response distribution simulation in the first mode, and determining the stress distribution diagram of the sealing surface; performing equivalent pressure partition based on the stress sensitivity with the stress distribution diagram of the sealing surface, and constructing multiple sealing surface sub-areas; when the full-closed blind plate valve is in the first mode, performing real-time pressure monitoring of each partition, comparing with the target sealing pressure, and determining the thrust of each partition loader; after performing partition pressure control with the thrust of each partition loader, entering the holding state, and detecting the pressure fluctuation according to the preset period, positioning the pressure abnormality reduction partition; performing peripheral area thrust compensation with the adjacent partition of the pressure abnormality reduction partition, and synchronously performing alarm.

[0005] In another aspect, the application also provides a sealing pressure distribution control system for a full-closed blind plate valve, comprising: a working condition data acquisition module, configured to acquire working condition modeling data sets of the full-closed blind plate valve; a stress response simulation module, configured to perform finite element modeling based on the working condition modeling data sets, execute stress response distribution simulation in a first mode, and determine a sealing surface stress distribution map; an equivalent pressure partition module, configured to perform equivalent pressure partition based on stress sensitivity with the sealing surface stress distribution map, and construct a plurality of sealing surface sub-regions; a pressure monitoring module, configured to perform real-time pressure monitoring of each sub-region when the full-closed blind plate valve is in the first mode, compare with a target sealing pressure, and determine a sub-region loader thrust; an abnormal sub-region positioning module, configured to enter a holding state after the sub-region pressure control with the sub-region loader thrust, detect pressure fluctuation according to a preset period, and locate a pressure abnormal reduction sub-region; and a thrust compensation module, configured to perform peripheral zone thrust compensation with adjacent sub-regions of the pressure abnormal reduction sub-region, and simultaneously perform alarm.

[0006] The one or more technical solutions provided in the application have at least the following beneficial effects:

[0007] By acquiring working condition modeling data sets of the full-closed blind plate valve, boundary conditions and structural parameters required for finite element modeling are provided, and data basis for subsequent simulation analysis is provided. Finite element modeling is performed based on the working condition modeling data sets, stress response distribution simulation in a first mode is executed, and a sealing surface stress distribution map is determined, so that the stress conditions of each region of the sealing surface are accurately analyzed, and a basis for fine partition control is provided. Equivalent pressure partition based on stress sensitivity is performed with the sealing surface stress distribution map, a plurality of sealing surface sub-regions are constructed, the sealing surface is divided into a plurality of controlled units, subsequent targeted monitoring and control are realized, and the limitations of traditional overall control are broken through. Real-time pressure monitoring of each sub-region is performed when the full-closed blind plate valve is in the first mode, comparison with a target sealing pressure is performed, and a sub-region loader thrust is determined, so that sub-region thrust adjustment based on the target pressure is realized, and the stability of the sealing pressure is ensured to meet the standard. After the sub-region pressure control with the sub-region loader thrust, a stable pressure state is maintained, pressure fluctuation is detected according to a preset period, pressure abnormal conditions are dynamically sensed and a pressure abnormal reduction sub-region is located, peripheral zone thrust compensation is performed with adjacent sub-regions of the pressure abnormal reduction sub-region, the sealing redundancy guarantee capability is enhanced, and alarm is simultaneously performed, prompting operation and maintenance response.

[0008] In summary, this application achieves precise zoned control of the sealing surface pressure of a fully enclosed blind valve by introducing a finite element simulation-based sealing surface stress modeling method combined with a stress-sensitive zoning mechanism. Within each zone, real-time monitoring and loader thrust adjustment ensure dynamic matching of local sealing pressure, and periodic fluctuation detection and adjacent zone thrust compensation mechanisms enhance the adaptive response capability to local failures. The overall solution significantly improves the sealing reliability, autonomous control capability, and fault early warning level of the fully enclosed blind valve under complex operating conditions, enhancing the stability and safety of the fully enclosed blind valve and the industrial system.

[0009] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0010] Figure 1 This is a schematic flowchart illustrating a distributed control method for the sealing pressure of a fully enclosed blind valve, as provided in an embodiment of this application.

[0011] Figure 2 This is a schematic diagram illustrating the process of constructing multiple sealing surface sub-regions in a distributed control method for the sealing pressure of a fully enclosed blind valve provided in an embodiment of this application.

[0012] Figure 3 This is a schematic diagram of a distributed control system for the sealing pressure of a fully enclosed blind valve, provided in an embodiment of this application.

[0013] Explanation of reference numerals in the attached diagram: 10 for working condition data acquisition module, 20 for force response simulation module, 30 for equivalent pressure zoning module, 40 for pressure monitoring module, 50 for abnormal zoning location module, and 60 for thrust compensation module. Detailed Implementation

[0014] This application provides a distributed control method and system for the sealing pressure of a fully enclosed blind valve, which solves the technical problems in the prior art where the sealing pressure control accuracy is limited due to the lack of zonal adjustment caused by the overall loading control of the sealing surface of the fully enclosed blind valve, and the resulting susceptibility to local leakage or overpressure. It achieves the technical effect of realizing precise zonal control of the sealing pressure and improving the sealing reliability and adaptive regulation capability of the fully enclosed blind valve.

[0015] Example 1, as Figure 1 As shown in the figure, this application embodiment provides a distributed control method for the sealing pressure of a fully enclosed blind valve, the method comprising:

[0016] Step S100: Collect the operating condition modeling dataset for the fully enclosed blind valve.

[0017] Specifically, through multi-dimensional information sources such as online sensors, historical operation data, structural design parameters and environmental conditions, the working condition data of the full-closed blind plate valve in various typical operating states are collected, normalized and feature extracted to form a standardized working condition modeling data set, which provides data support for subsequent finite element modeling and stress analysis. The working condition modeling data set includes a set of physical and operating parameters such as pressure, temperature, flow rate, opening and closing frequency, structural size of the full-closed blind plate valve under actual operating conditions, which is used for subsequent modeling and simulation analysis. For example, using pressure sensors, temperature sensors and data acquisition cards, multi-dimensional data such as changes in pipeline internal pressure, medium temperature fluctuations, blind plate position movements are collected at key parts such as the sealing surface, sliding guide rail and carrier of the full-closed blind plate valve, and the working condition modeling data set is generated in combination with historical opening and closing records to realize high-precision collection and arrangement of data under real working conditions and ensure the accuracy and representativeness of subsequent modeling results.

[0018] Step S200: performing finite element modeling based on the working condition modeling data set, executing stress response distribution simulation in the first mode, and determining a sealing surface stress distribution map.

[0019] Further, the first mode is a state in which the blind plate in the full-closed blind plate valve slides into the center of the valve body to completely block the passage.

[0020] Specifically, the data collected in step S100 is imported into a finite element analysis software, and according to the actual geometric structure size, material properties of the full-closed blind plate valve and the load working conditions (such as pipeline internal pressure, medium temperature, etc.) in the working condition modeling data set, a full-closed blind plate valve structure model is constructed. Then, for the first mode, i.e. the state in which the blind plate slides into the center of the valve body to completely block the passage, the boundary conditions are set, including the contact relationship between the blind plate and the valve body, the fixed constraints at both ends of the pipeline, the load conditions (pipeline internal medium pressure, temperature), the statics simulation is run in the first mode, the contact pressure distribution of the blind plate and the valve seat sealing surface is extracted, and the sealing surface stress distribution map is output to clearly present the stress condition of each region of the sealing surface and reveal the potential non-uniform stress region, providing a quantitative basis for accurate partition control.

[0021] Step S300: performing equivalent pressure partitioning based on stress sensitivity with the sealing surface stress distribution map to construct a plurality of sealing surface sub-regions.

[0022] Specifically, the stress sensitivity refers to the influence of the stress of a certain area of the sealing surface on the overall sealing performance, reflecting the sensitivity of the sealing surface to sealing failure. The equivalent pressure partition refers to dividing the sealing surface into several sub-regions according to similar stress response characteristics, so that each sub-region has relatively consistent stress response characteristics. The stress gradient and deformation degree of the full-closed blind plate valve are analyzed by using the stress distribution diagram of the sealing surface. First, the area with slow stress gradient change and small deformation (low sensitive area) is identified, and these areas are combined into larger partitions. Second, for the areas with sudden stress change or easy deformation (high sensitive area), they are refined into multiple small partitions according to the pressure difference and local response, and finally multiple sealing surface sub-regions are formed, realizing the partition structure representation of the complex stress state of the sealing surface, which is convenient for subsequent distributed loading control. Each sub-region is a relatively independent control unit, which provides a boundary for subsequent loader accurate regulation and control.

[0023] Further, any sealing surface sub-region in the plurality of sealing surface sub-regions is configured with one loader and a plurality of pressure sensors. The pressure sensor is used for sealing surface stress detection in the partition, and the loader is used for applying a controllable axial pressure to the partition.

[0024] Specifically, the loader is an execution component for applying an adjustable axial pressure to the sealing surface, which is commonly an electric push rod, a hydraulic cylinder or a servo loading device, used to maintain or dynamically adjust the sealing pressure. The pressure sensor is a sensor unit installed in the sealing surface sub-region, used to collect real-time contact pressure data of the sealing surface in the region, which can be point or array arrangement.

[0025] Each sealing surface sub-region is configured with at least one loader and multiple pressure sensors to realize the construction of a local closed-loop control unit for each sealing surface sub-region. The loader is installed on the axial loading channel of the sub-region and is responsible for adjusting the sealing pressure of the sealing surface sub-region according to the feedback control logic; the pressure sensors are uniformly distributed on the sealing surface of the sub-region or the adjacent structure surface, used to collect fine-grained stress distribution changes to support the judgment of the stress uniformity, dynamic response and micro-leakage signal of the sealing surface sub-region.

[0026] Step S400: When the full-closed blind plate valve is in the first mode, real-time pressure monitoring of each partition is performed, compared with the target sealing pressure, and the thrust of each partition loader is determined.

[0027] Specifically, the target sealing pressure is a standard pressure threshold value required to achieve a safe seal, which can be dynamically set according to the working conditions. The loader thrust is an adjustable pressure applied by the loader to the sealing surface in the axial direction, used to achieve sealing surface sub-zone pressure control. When the full-closed blind plate valve is in the first mode (the state of the blind plate sliding into the central partition channel of the valve body), the current sealing pressure data is collected in real time through the pressure sensors arranged in each sealing surface sub-zone, and compared with the pre-set target sealing pressure. According to the difference between the two, the control algorithm (such as PID control algorithm) inside the loader is used to calculate the thrust that each partition loader needs to generate to adjust the sealing pressure so that it is as close as possible to the target sealing pressure, thereby building a closed-loop feedback regulation mechanism to ensure that the sealing pressure of each sealing surface sub-zone is stably maintained at the target value, significantly improving the real-time performance and accuracy of the sealing control of the full-closed blind plate valve.

[0028] Step S500: After partition pressure control is performed with the partition loader thrust, enter the maintenance state and detect pressure fluctuations according to the pre-set period to locate the pressure abnormally reduced partition.

[0029] Specifically, after the initial partition pressure control is completed through the partition loader thrust, so that the sealing pressure of each sealing surface sub-zone reaches the target value, the maintenance state is entered. At this time, each loader maintains the current thrust output to maintain the stable sealing pressure of each sealing surface sub-zone. At the same time, according to the pre-set detection period (for example, once every 10 minutes), the pressure data of each sealing surface sub-zone is automatically detected and recorded to analyze the pressure fluctuation and determine whether the pressure fluctuation of each sealing surface sub-zone is within the normal range. If it is found that the pressure drop of a sealing surface sub-zone exceeds the pre-set threshold value, it is determined as a pressure abnormally reduced partition, and the position, pressure drop rate, etc. of the sealing surface sub-zone are recorded to provide a basis for subsequent processing measures.

[0030] Step S600: Perform peripheral zone thrust compensation with the adjacent partition of the pressure abnormally reduced partition, and simultaneously generate an alarm.

[0031] Specifically, after the pressure abnormally reduced partition is located, its geometric adjacent area, i.e. the sealing surface sub-zone adjacent to the pressure abnormally reduced partition in physical position, is automatically identified and determined as the adjacent partition of the pressure abnormally reduced partition. The auxiliary role that the loader of the adjacent partition can provide is evaluated through the construction of an adjacent thrust influence model (such as a finite element compensation coupling coefficient matrix), and the loader of the adjacent partition is instructed to uniformly increase the pressure within the sealing pressure threshold range to prevent the abnormality from spreading. An alarm signal is simultaneously generated, and the abnormal information is sent to the operation and maintenance personnel in the form of audible and visual alarms, message pushing, etc. This step effectively establishes a collaborative compensation mechanism based on the adjacent relationship and has an alarm prompt function, ensuring the safe operation of the full-closed blind plate valve and the system to which it belongs.

[0032] Further, as shown in Figure 2 Step S300 includes:

[0033] Step S310: Based on the stress distribution map of the sealing surface, stress sensitivity analysis is performed, including pressure gradient and deformation degree calculation, division of a first region with pressure gradient and deformation degree less than a preset threshold, and a second region with pressure gradient and deformation degree greater than or equal to the preset threshold.

[0034] Step S320: Maximum adjacent response unit merging is performed on the first region to generate a first partition division result.

[0035] Step S330: Equivalent segmentation based on pressure gradient and deformation degree is performed on the second region to generate a second partition division result.

[0036] Step S340: The first partition division result and the second partition division result are used to construct the plurality of sealing surface sub-regions.

[0037] Specifically, the pressure gradient refers to the rate of change of the sealing surface pressure between adjacent response units, expressed in pressure change per unit length (MPa / mm). The deformation degree refers to the deformation amount of the sealing surface after being stressed, expressed in displacement (unit: mm). The preset threshold is a critical value of pressure gradient and deformation degree pre-set according to the material properties of the sealing surface, design requirements and actual working conditions, used to divide regions with different stress sensitivities. Analyze the stress distribution map of the sealing surface generated by simulation, extract the pressure value and displacement field of each response unit, calculate the pressure difference and deformation difference between each response unit and its adjacent unit, and obtain the pressure gradient and deformation degree. Among them, the response unit is the smallest division unit in the stress diagram of the sealing surface, which is a finite element mesh element or an equivalent sub-block. According to the calculated pressure gradient and deformation degree, all response units are screened. If the pressure gradient value and deformation degree of a response unit are both less than the preset threshold, it is classified into the first region, otherwise it is classified into the second region. The first region obtained finally is the region where the pressure gradient and deformation degree of the sealing surface are both lower than the preset threshold, and the stress is stable and uniform; the second region is the region where the pressure gradient or deformation degree exceeds the threshold, and there is strong local stress concentration or structural deformation.

[0038] For the first region divided, a maximum adjacent merging operation of the response unit is performed, that is, the units that are connected and have continuous and smooth gradient and deformation are merged into a large sub-region, reducing the number of divisions; this merging aims to minimize the number of loaders and improve control efficiency. For the second region divided, equivalent segmentation based on sensitive features is performed. If the pressure gradient or deformation inside the region changes directionally, it is divided according to the direction; if it has isolated high deformation, it is divided into multiple sub-regions in the form of equivalent circles or ellipses; ensure that the internal variation amplitude of each sub-region after segmentation tends to be uniform, which is beneficial to independent control.

[0039] The first partition division result and the second partition division result are combined to generate a final plurality of sealing surface sub-zones as a logical basis for subsequent loader and sensor configurations. In actual operation, the first region combined partition and the second region divided partition can be spatially spliced and numbered to form a complete sealing surface sub-zone layout. For example, after the first region is combined, 3 partitions are obtained, numbered as sub-zone 1, sub-zone 2, and sub-zone 3; after the second region is divided, 5 partitions are obtained, numbered as sub-zone 4, sub-zone 5, sub-zone 6, sub-zone 7, and sub-zone 8. Integrating these sub-zones together forms a plurality of sealing surface sub-zones of the full-closed blind plate valve, each sealing surface sub-zone has a clear boundary, stress characteristics, and control requirements, providing an accurate partition structure for subsequent sealing pressure control.

[0040] Further, step S320 includes:

[0041] Step S321: determining the geometric parameters of each independent region in the first region.

[0042] Step S322: based on the geometric parameters of each independent region, performing loader response consistency analysis with a preset thrust loading target to determine a to-be-divided independent region with a response consistency deviation greater than a preset deviation.

[0043] Step S323: after uniformly dividing the to-be-divided independent region in half, continue to perform loader response consistency analysis with a preset thrust loading target until the response consistency deviation of each partition is less than or equal to the preset deviation, and generate the first partition division result.

[0044] Specifically, the independent region is a geometric sub-region in the first region composed of a plurality of continuous adjacent response units and having no connected boundary therebetween. All independent regions in the first region are traversed, and for each independent region, its contour boundary is extracted, and geometric parameters such as area, center point coordinates, and aspect ratio are calculated to establish basic geometric features for subsequent loader response simulation and region segmentation.

[0045] The preset thrust loading target is a representative loading value (such as an axial force under a certain typical working condition) preset according to sealing design requirements and actual working conditions, and is used to evaluate the response consistency of the independent area under the thrust. The loader response consistency refers to the consistency degree of the pressure change trend or deformation response of all response units in the area under the action of the same preset thrust loading target. The response consistency deviation is the deviation degree of the response units in the area relative to the average pressure or deformation, which can be expressed by the standard deviation or the maximum deviation. For each independent area, a unified loader thrust (i.e., the preset thrust loading target) is simulated based on the stress area, and the pressure distribution and deformation response of each response unit in the area are simulated based on the finite element model. The deviation value of each response unit relative to the average response of the area is calculated. If the maximum deviation or the standard deviation is greater than the preset deviation, the area is marked as a to-be-divided area.

[0046] For all to-be-divided areas, the areas are evenly divided along the geometric principal axis or the maximum direction, and the loader response consistency analysis is repeated for each sub-area after the division. If the preset deviation is still not met, the two-division processing is continued, until the response consistency deviation of all sub-areas meets the requirements, and finally the first area partition division result, i.e., the first partition division result, which is stable and has consistent loading response, is generated.

[0047] Further, step S330 includes:

[0048] Step S331: configuring loading points for the second area according to a preset loading point distribution density, and constructing a loading point distribution map.

[0049] Step S332: identifying a deformation area based on a deformation degree, optimizing the loading point distribution map by an asymmetrically distributed loader, and constructing the second partition division result based on the optimized loading point distribution map.

[0050] Specifically, the loading point is a position point for applying a control thrust, and is a candidate position of the loader distribution. The preset loading point distribution density is the number of loading points per unit angle or unit length, which is preset according to the geometric shape, size and sealing requirements of the sealing surface. The loading point distribution map is a preliminary spatial layout map of the loading points on the sealing surface, and is used to guide the subsequent partition and loader arrangement.

[0051] After the second area is divided, the loading points are configured according to the preset loading point distribution density. If the sealing surface is annular or approximately circular, one loading point is configured every 15°-30°. If it is an irregular surface, the loading points are arranged by the edge equidistant point method to form a preliminary loading point distribution map. The loading point distribution density can be adjusted according to the pressure gradient and deformation distribution density. The pressure change is encrypted, and the pressure uniform area is appropriately sparse.

[0052] On the basis of the initial loading point distribution map, the deformation degree distribution of the second region is analyzed, and by setting a deformation degree threshold, the obvious deformation region is identified. According to the distribution of the deformation region, the position and number of the load are optimized and adjusted to avoid the control redundancy or response failure caused by symmetrical loading. If part of the loading points are located outside the boundary of the deformation region, and the loading response is weak or there is functional redundancy, the loading point is cancelled or combined with other loading points. If part of the deformation region is not effectively covered by the existing loading points, a new loading point is added to enhance the local response capability. The loading point layout is adjusted in an asymmetric manner to improve the flexibility and adaptability of the loading response, thereby adapting to the heterogeneous characteristics of the sealing surface stress distribution. Based on the optimized loading point distribution map, the response influence domain of each loading point on the sealing surface is identified by finite element simulation analysis; according to the spatial distribution and overlapping relationship of the response influence domain of each loading point, the independent control region and the joint control region are identified, and the second region is divided into multiple sub-regions according to the preset response contribution threshold. For the region where the influence domains of the loading points intersect, the sub-region attribution is determined by analyzing the stress contribution of each loading point in the intersection region, and a multi-loading point composite control region or an independent control region is constructed. Finally, based on the response influence domain, the attribution and boundary optimization of the associated region between the loading points are completed, and the second partition division result meeting the asymmetric loading demand is formed.

[0053] Further, step S500 comprises:

[0054] Step S510: Real-time detection of pressure fluctuation data in each partition by pressure sensors in each partition.

[0055] Step S520: Correlation analysis of pressure fluctuation and sealing performance to generate a correlation map.

[0056] Step S530: Based on the correlation map, the sealing influence of the pressure fluctuation data in each partition is analyzed, and a pressure abnormal reduction partition with a sealing failure index greater than a preset threshold is generated, and the corresponding pressure drop characteristics are identified.

[0057] Specifically, the pressure fluctuation data refers to the time series data collected by the pressure sensors installed in each sealing surface sub-region, including but not limited to: instantaneous pressure value (measured value at each instant within the sampling period), average pressure value (sliding average value within a certain time window), fluctuation amplitude (such as standard deviation, range), pressure drop rate (pressure change amplitude per unit time). The pressure sensors in each partition detect the pressure of each sealing surface sub-region at a preset period and form a complete pressure fluctuation data sequence. The data is uploaded to the central controller or edge computing unit through the communication module for subsequent analysis.

[0058] The correlation map is a model reflecting the corresponding relationship between pressure fluctuation and sealing performance, expressed in the form of a heat map or a matrix chart. According to the pressure fluctuation data, the statistical characteristics of the pressure fluctuation data are extracted, such as the mean value, the standard deviation, the change rate, etc. Then, the correlation coefficient (such as the Pearson coefficient) is used to evaluate the correlation between the pressure fluctuation characteristics and the sealing performance, a correlation model is constructed and graphically output, generating a correlation heat map or color matrix, which reflects the corresponding strength of each partition, each feature dimension and the sealing effect. For example, 100 groups of simulated pressure fluctuation sequences and corresponding sealing performance evaluation results (leakage or not) are collected. By calculating the correlation coefficient between the standard deviation of the pressure fluctuation and the sealing performance, the correlation coefficient is 0.85, indicating that the standard deviation of the pressure fluctuation is closely related to the sealing performance. In the generated correlation map, when the standard deviation is greater than 0.1 MPa, the color becomes darker, and the risk of sealing failure increases significantly.

[0059] The sealing failure index is a numerical model for quantifying the sealing risk degree of each sealing sub-zone, which can be composed of the pressure change rate multiplied by the corresponding weight, and the larger the sealing failure index, the higher the risk of sealing failure. The correlation map is used as a partition weighting reference (i.e. the higher the correlation, the greater the weight ω i ), real-time extraction of the sealing sub-zone pressure drop rate (ΔP i / Δt), calculation of the sealing failure index: Mi=ω i *ΔP i / Δt, and comparison with the preset threshold, and the sealing sub-zone with the sealing failure index exceeding the preset threshold is determined as the pressure abnormal reduction partition, and the pressure drop characteristics such as the pressure drop rate, time period, gradient, etc. are recorded as the abnormal identifier.

[0060] Through the sealing influence analysis, the sealing performance abnormal partition can be accurately identified and marked with the pressure drop characteristics, providing a clear target and basis for the subsequent surrounding zone thrust compensation and alarm, which helps to discover and handle the sealing problem in time, and improves the operation safety and reliability of the full-closed blind plate valve.

[0061] Further, step S600 includes:

[0062] Step S610: determining M adjacent partitions adjacent to the pressure abnormal reduction partition, and constructing an adjacent position distribution network.

[0063] Step S620: analyzing the thrust compensation relationship network of the M adjacent partitions to the pressure abnormal reduction partition based on the adjacent position distribution network.

[0064] Step S630: based on the thrust compensation relationship network, performing uniform thrust compensation of the M adjacent partitions according to the pressure drop characteristic identifier, and determining M thrust compensation parameters.

[0065] Step S640: Perform peripheral zone thrust compensation with the M thrust compensation parameters, and simultaneously perform abnormality alarm of the pressure abnormality reduction zone.

[0066] Specifically, according to the partition division result and the sealing surface sub-zone geometric coordinates, M adjacent partitions directly contacting the pressure abnormality reduction zone are automatically searched, and an adjacent position distribution network is constructed to record the position information of each adjacent partition and the adjacent relationship with the pressure abnormality reduction zone. The adjacent position distribution network can be represented by an adjacent matrix or a graph structure, where the nodes represent the partitions and the edges represent the adjacent relationship, so as to analyze the thrust compensation relationship subsequently. M is a positive integer.

[0067] Based on the existing finite element model analysis data, the pressure response caused by each adjacent sub-zone to the pressure abnormality reduction zone after applying unit thrust is recorded, and an influence factor matrix of each adjacent partition on the target partition when thrust is applied is constructed. The matrix is normalized to obtain the thrust action coefficient of each adjacent sub-zone as a weight factor for subsequent thrust distribution. Then, based on the adjacent position distribution network, a thrust compensation relationship network is constructed with the thrust action coefficient as the edge weight to quantify the compensation ability and influence degree of the adjacent partition on the pressure abnormality reduction zone.

[0068] The thrust compensation parameter refers to the specific thrust adjustment value allocated to each adjacent sub-zone, which is used to adjust its force to alleviate the pressure drop risk of the pressure abnormality reduction zone. According to the pressure drop characteristics of the pressure abnormality reduction zone, such as pressure drop rate, pressure drop gradient, and duration, a total compensation target thrust is set, and the total compensation target thrust is proportionally distributed to each adjacent sub-zone according to the thrust action coefficient in the aforementioned thrust compensation relationship network, forming M thrust compensation parameters.

[0069] The thrust compensation parameters of each adjacent sub-zone are sent to the corresponding loader to perform thrust adjustment action, and at the same time, an audible and visual alarm or system status prompt is issued to the pressure abnormality reduction zone. If the compensation fails or the continuous abnormality exceeds the set time threshold, a high-priority fault handling process is entered, so as to realize response closed-loop control, suppress local abnormalities through peripheral coordination and rapid adjustment, ensure overall sealing stability, and realize synchronous abnormality monitoring and response.

[0070] Further, after determining the M thrust compensation parameters, it further includes:

[0071] Step S631: Perform self-compensation influence analysis on the M adjacent partitions based on the M thrust compensation parameters to generate self-pressure influence values.

[0072] Step S632: determining whether the self-pressure influence value is greater than the preset seal surface bearing pressure threshold value, if yes, performing compensation revocation and real-time abnormality alarm, and performing emergency closing of the upstream valve.

[0073] Specifically, the self-pressure influence value refers to the additional pressure change borne by the abutment partition's own seal surface after the implementation of the thrust compensation, which is used to evaluate the potential influence of the compensation on itself. The finite element analysis is used to calculate the change of the self-sealing pressure of the M abutment partitions after the implementation of the thrust compensation based on the M thrust compensation parameters, thereby obtaining the self-pressure influence value of each abutment partition.

[0074] The preset seal surface bearing pressure threshold value is the maximum design pressure limit that can be instantaneously borne by the seal surface subzone seal structure, and exceeding the limit can cause seal failure, structural deformation or safety hazards. The self-pressure influence value of each seal surface subzone is compared with the corresponding preset seal surface bearing pressure threshold value, if the self-pressure influence value is greater than the preset seal surface bearing pressure threshold value, it is determined as overload compensation, a load reduction instruction is issued to the corresponding loader, a visual or audible alarm is issued through the alarm module, and an instruction is sent to control the emergency closing operation of the upstream related valve, thereby avoiding subsequent large-scale pressure relief.

[0075] The above steps provide a protection mechanism for the secondary risks that can be generated in the compensation chain, realize the fusion of local abnormality control and system-level safety guarantee, and avoid the cascade out-of-control caused by local compensation.

[0076] In summary, the sealing pressure distributed control method of the full-closed blind plate valve provided by the embodiments of the present application has the following beneficial effects:

[0077] This application embodiment constructs a multi-zone sealing surface loading control structure, configuring a loader and pressure sensor in each sealing surface sub-zone to achieve real-time control and sensing of local pressure. Subsequently, based on the sealing surface force data collected by the pressure sensor, a detailed sealing surface force distribution map is constructed, providing a data foundation for subsequent regional sensitivity analysis and optimized zoning. Sensitivity analysis is performed on the sealing surface force distribution map to identify two types of regions: uniformly stressed (first region) and complex stressed (second region). By maximizing the merging of adjacent response units and the segmentation of deformation response, a differentiated and optimized zoning scheme is constructed, making loading control more targeted, reducing redundant loader deployment, and improving control accuracy. Furthermore, within the first region, a loading response consistency analysis is performed on the merged regions to ensure consistent loading control effects within the zone; while for the second region, based on the initial loading point distribution map, combined with finite element deformation analysis, asymmetric loading is used to optimize the loader configuration, effectively improving the loading adaptability and response accuracy of complex regions. Next, a correlation analysis of sealing performance was conducted using the time series of pressure fluctuations in each zone to construct a mapping relationship between pressure fluctuations and the risk of sealing failure. Based on this, a sealing failure index was defined to achieve accurate identification and feature labeling of zones with abnormally low pressure, providing a basis for local risk perception. An adjacency location distribution network was constructed by retrieving adjacent zones of the zone with abnormally low pressure, and a thrust compensation relationship network was generated based on simulation data. The thrust weight of adjacent zones was derived, and thrust compensation parameters were calculated to achieve quantitative compensation control of the zone with abnormally low pressure. Combined with abnormal alarm and abnormal propagation control logic, the overall stability of the sealing surface and its local adaptive adjustment capability under abnormal conditions were ensured.

[0078] Overall, the embodiments of this application improve the pressure control accuracy of the fully enclosed blind valve by constructing a multi-level sealing partition structure, data-driven partition optimization, feature-related anomaly identification and intelligent collaborative compensation mechanism, significantly enhance the sealing reliability, autonomous regulation capability and fault early warning level of the fully enclosed blind valve under complex working conditions, and thus ensure the safe and stable operation of the fully enclosed blind valve and its system.

[0079] Example 2, as Figure 3 As shown, based on the same inventive concept as in Embodiment 1 above, this application provides a distributed control system for the sealing pressure of a fully enclosed blind valve, the system comprising:

[0080] The operating condition data acquisition module 10 is used to collect the operating condition modeling dataset of the fully enclosed blind valve.

[0081] The stress response simulation module 20 is used to perform finite element modeling based on the working condition modeling dataset, execute stress response distribution simulation under the first mode, and determine the stress distribution diagram of the sealing surface.

[0082] An equivalent pressure partition module 30 is configured to perform equivalent pressure partition based on force sensitivity according to the force distribution diagram of the sealing surface, and to construct a plurality of sealing surface sub-regions.

[0083] A pressure monitoring module 40 is configured to perform real-time pressure monitoring of each sub-region when the full-closed blind plate valve is in the first mode, to compare the target sealing pressure, and to determine the sub-region loader thrust.

[0084] An abnormal sub-region positioning module 50 is configured to enter a holding state after the sub-region pressure control according to the sub-region loader thrust, to detect pressure fluctuation according to a preset period, and to position a pressure abnormality reduction sub-region.

[0085] A thrust compensation module 60 is configured to perform peripheral region thrust compensation according to an adjacent sub-region of the pressure abnormality reduction sub-region, and to perform alarm synchronously.

[0086] Further, the first mode is a state in which a blind plate in the full-closed blind plate valve slides into the center of the valve body to completely block the passage.

[0087] Further, any sealing surface sub-region in the plurality of sealing surface sub-regions is configured with a loader and a plurality of pressure sensors. The pressure sensors are configured to detect the force of the sealing surface in the sub-region, and the loader is configured to apply a controllable axial pressure to the sub-region.

[0088] Further, the equivalent pressure partition module 30 of the embodiment of the application is further configured to perform the following steps:

[0089] Based on the force distribution diagram of the sealing surface, force sensitivity analysis is performed, including pressure gradient and deformation degree calculation, division of a first region with pressure gradient and deformation degree less than a preset threshold, and a second region with pressure gradient and deformation degree greater than or equal to the preset threshold; maximum adjacent response unit merging is performed on the first region to generate a first sub-region division result; equivalent segmentation based on the pressure gradient and the deformation degree is performed on the second region to generate a second sub-region division result; and the first sub-region division result and the second sub-region division result are used to construct the plurality of sealing surface sub-regions.

[0090] Further, the equivalent pressure partition module 30 of the embodiment of the application is further configured to perform the following steps:

[0091] Determine the geometric parameters of each independent region in the first region; based on the geometric parameters of each independent region, perform a loader response consistency analysis with a preset thrust loading target, determine a to-be-partitioned independent region with a response consistency deviation greater than a preset deviation; after uniformly partitioning the to-be-partitioned independent region, continue to perform a loader response consistency analysis with a preset thrust loading target until the response consistency deviations of each partition are less than or equal to the preset deviation, and generate the first partition division result.

[0092] Further, the equivalent pressure partition module 30 is further used to execute the following steps:

[0093] The second region is configured with loading points according to a preset loading point distribution density to construct a loading point distribution map; a deformation region is identified based on a deformation degree, and a non-symmetrical distributed loader is used to optimize the loading point distribution map, so that the second partition division result is constructed based on the optimized loading point distribution map.

[0094] Further, the abnormal partition positioning module 50 is further used to execute the following steps:

[0095] Real-time detection is performed on each partition by a pressure sensor to obtain pressure fluctuation data of each partition; correlation analysis is performed on pressure fluctuation and sealing performance to generate a correlation mapping; sealing influence analysis is performed on the pressure fluctuation data of each partition based on the correlation mapping, and a pressure abnormal reduction partition with a sealing failure index greater than a preset threshold is generated and identified by a corresponding pressure drop feature.

[0096] Further, the thrust compensation module 60 is further used to execute the following steps:

[0097] M adjacent partitions adjacent to the pressure abnormal reduction partition are determined, and an adjacent position distribution network is constructed; a thrust compensation relationship network of the M adjacent partitions to the pressure abnormal reduction partition is analyzed based on the adjacent position distribution network; based on the thrust compensation relationship network, uniform thrust compensation of the M adjacent partitions is performed according to the pressure drop feature identification, M thrust compensation parameters are determined; peripheral zone thrust compensation is performed by the M thrust compensation parameters, and abnormal alarm of the pressure abnormal reduction partition is performed synchronously.

[0098] Further, the system of the embodiment of the application is further used to execute the following steps:

[0099] Based on the M thrust compensation parameters, self-compensation influence analysis is performed on the M adjacent partitions to generate a self-pressure influence value; it is judged whether the self-pressure influence value is greater than a preset sealing surface bearing pressure threshold value, if yes, compensation is revoked and real-time abnormal alarm is performed, and an upstream valve is urgently closed.

[0100] The sealing pressure distribution control method of the fully-closed blind plate valve disclosed in the foregoing detailed description, those skilled in the art can clearly know the sealing pressure distribution control system of the fully-closed blind plate valve in the embodiment. For the system disclosed in the second embodiment, since it corresponds to the method disclosed in the first embodiment, it has corresponding functional modules and beneficial effects. For the related parts, refer to the method part description.

[0101] The above description of disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method of distributed control of sealing pressure of a full-closed blind valve, characterized by, The application relates to a full-closed blind plate valve sealing surface stress distribution simulation method and device. Collecting a working condition modeling data set of a full-closed blind plate valve; Performing finite element modeling based on the working condition modeling data set, executing stress response distribution simulation in a first mode, and determining a sealing surface stress distribution graph; Performing equivalent pressure partitioning based on stress sensitivity with the sealing surface stress distribution graph, and constructing multiple sealing surface sub-regions; When the full-closed blind plate valve is in the first mode, performing real-time pressure monitoring of each sub-region, comparing with a target sealing pressure, and determining a sub-region loader thrust; After performing sub-region pressure control with the sub-region loader thrust, entering a holding state, and detecting pressure fluctuation according to a preset period, locating a pressure abnormality reduction sub-region; Performing peripheral region thrust compensation with adjacent sub-regions of the pressure abnormality reduction sub-region, and synchronously performing alarm; Performing equivalent pressure partitioning based on stress sensitivity with the sealing surface stress distribution graph, and constructing multiple sealing surface sub-regions, comprising: Performing stress sensitivity analysis based on the sealing surface stress distribution graph, including pressure gradient and deformation degree calculation, dividing out a first region with pressure gradient and deformation degree less than a preset threshold value, and a second region with pressure gradient and deformation degree greater than or equal to the preset threshold value; Performing maximum adjacent response unit merging on the first region to generate a first sub-region division result; Performing equivalent partitioning based on pressure gradient and deformation degree on the second region to generate a second sub-region division result; Constructing the multiple sealing surface sub-regions with the first sub-region division result and the second sub-region division result.

2. A method of distributed control of sealing pressure of a full containment blind flashboard as claimed in claim 1, wherein, The first mode is a state in which a blind plate in the full-closed blind plate valve slides into the center of a valve body to completely cut off a passage.

3. A method of controlling the sealing pressure profile of a full containment blind flange valve as claimed in claim 1, wherein, Any sealing surface sub-region in the multiple sealing surface sub-regions is configured with one loader and multiple pressure sensors, the pressure sensors are used for sealing surface stress detection in the sub-region, and the loader is used for applying a controllable axial pressure to the sub-region.

4. A method of controlling the sealing pressure profile of a full contained blind valve as claimed in claim 1, wherein, Performing maximum adjacent response unit merging on the first region to generate a first sub-region division result, comprising: Determining geometric parameters of each independent region in the first region; Performing loader response consistency analysis with a preset thrust loading target based on the geometric parameters of the each independent region, and determining a to-be-partitioned independent region with a response consistency deviation greater than a preset deviation; After performing uniform partitioning on the to-be-partitioned independent region, continuing to perform the loader response consistency analysis with the preset thrust loading target until the response consistency deviations of each sub-region are all less than or equal to the preset deviation, and generating the first sub-region division result.

5. A method of controlling the sealing pressure profile of a full contained blind valve as claimed in claim 1, wherein, Performing equivalent partitioning based on pressure gradient and deformation degree on the second region to generate a second sub-region division result, comprising: Configuring loading points according to a preset loading point distribution density on the second region to construct a loading point distribution graph; Identifying a deformation region based on deformation degree, optimizing the loading point distribution graph with an asymmetrically distributed loader, and constructing the second sub-region division result with the optimized loading point distribution graph.

6. A method of controlling the sealing pressure profile of a full contained blind valve as claimed in claim 1, wherein, Detecting pressure fluctuation according to a preset period, and locating a pressure abnormality reduction sub-region, comprising: Real-time detection and acquisition of sub-region pressure fluctuation data through pressure sensors in each sub-region; Performing pressure fluctuation and sealing correlation analysis to generate a correlation map; Based on the correlation map, the sealing influence analysis is performed on the partition pressure fluctuation data to generate a pressure abnormal reduction partition with a sealing failure index greater than a preset threshold, and the corresponding pressure drop characteristics are identified.

7. A method of distributed control of sealing pressure for a full contained blind valve as claimed in claim 6, wherein, The adjacent partitions of the pressure abnormal reduction partition are used for peripheral zone thrust compensation, and synchronous alarm is performed, including: Determine M adjacent partitions adjacent to the pressure abnormal reduction partition, and construct an adjacent position distribution network; Based on the adjacent position distribution network, analyze the thrust compensation relationship network of the M adjacent partitions to the pressure abnormal reduction partition; Based on the thrust compensation relationship network, according to the pressure drop characteristic identification, the uniform thrust compensation of the M adjacent partitions is performed, and M thrust compensation parameters are determined; The M thrust compensation parameters are used for peripheral zone thrust compensation, and synchronous abnormal alarm of the pressure abnormal reduction partition is performed.

8. A method of distributed control of sealing pressure of a full-closed blind plate valve according to claim 7, characterized by, After determining the M thrust compensation parameters, it further includes: Based on the M thrust compensation parameters, the self-compensation influence analysis is performed on the M adjacent partitions to generate a self-pressure influence value; Determine whether the self-pressure influence value is greater than a preset seal surface bearing pressure threshold, if yes, perform compensation revocation and real-time abnormal alarm, and perform emergency closing of the upstream valve.

9. A seal pressure distribution control system for a full contained blind flashboard valve, characterized by, The system is used to execute the sealing pressure distribution control method of the fully closed blind plate valve according to any one of claims 1-8, including: A working condition data acquisition module is used to acquire working condition modeling data set of the fully closed blind plate valve; A stress response simulation module is used to perform finite element modeling based on the working condition modeling data set, execute stress response distribution simulation under the first mode, and determine the sealing surface stress distribution map; An equivalent pressure partition module is used to perform equivalent pressure partition based on stress sensitivity with the sealing surface stress distribution map, and construct multiple sealing surface subzones; A pressure monitoring module is used to monitor the real-time pressure of each partition when the fully closed blind plate valve is in the first mode, compare with the target sealing pressure, and determine the partition loader thrust; An abnormal partition positioning module is used to enter the holding state after partition pressure control with the partition loader thrust, detect pressure fluctuation according to a preset period, and locate the pressure abnormal reduction partition; A thrust compensation module is used to perform peripheral zone thrust compensation with the adjacent partitions of the pressure abnormal reduction partition, and synchronous alarm is performed.

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