Spatial position generation system and method for fluid pressure metrology sensor deployment

Abstract

The application discloses a spatial position generation system and method for fluid pressure metering sensor layout, and belongs to the technical field of petrochemical industry and fluid dynamics. The system comprises a spatial position parameter generation device, which comprises a processing module including a simulation calculation unit and a position optimization unit. The simulation calculation unit performs simulation calculation on the flow field before, in and after the valve under different inlet pressure, outlet back pressure and valve opening degree conditions based on the computational fluid dynamics method, to obtain multiple sets of flow field distribution data. The position optimization unit analyzes the valve front pressure fluctuation, valve rear pressure recovery and turbulent disturbance according to the flow field distribution data, selects a region meeting preset conditions in terms of measurement stability and representativeness, and generates corresponding sensor installation spatial position parameters. The application can reduce the uncertainty caused by manual experience point selection, and improve the stability, representativeness and reliability of the sensor measurement results.

Description

Technical Field

[0001] This application relates to the fields of petrochemicals and fluid dynamics, and in particular to a spatial position generation system and method for deploying fluid pressure metering sensors. Background Technology

[0002] Petrochemical pipeline systems are widely used in the transportation of crude oil, natural gas, liquefied petroleum gas, pyrolysis gas, corrosive acid and alkali media, and other process fluids. Because these media are typically characterized by high pressure, flammability, explosiveness, corrosivity, or large fluctuations in operating conditions, the stability of the pressure state within the pipeline directly affects the safe operation of production units, the accuracy of process control, and the service life of downstream equipment.

[0003] In petrochemical production processes, pressure reducing valves, regulating valves, or angle valves are commonly installed in pipeline systems to throttle and reduce the pressure of upstream high-pressure media and maintain downstream pressure within the allowable range of the process. During actual operation, the pressure upstream of the valve may fluctuate due to factors such as tank discharge fluctuations, pump flow rate changes, upstream temperature variations, and process load adjustments; the pressure downstream of the valve may experience recovery lag or localized disturbances due to factors such as valve opening, outlet back pressure, and downstream gas or liquid load changes. When valve core wear, jamming, sealing failure, or regulation lag occur inside the valve, the outlet pressure can easily deviate from the set range, thereby affecting the normal operation of downstream flow meters, heat exchangers, reactors, and other precision equipment. The angle valve described in this embodiment is used to perform throttling and pressure reduction of pipeline media; it is also referred to below as a pressure reducing valve.

[0004] To monitor the operating status of pressure reducing valves or regulating valves, existing technologies typically place pressure sensors on both the inlet and outlet sides of the valve to acquire the upstream and downstream pressures. The inlet-side pressure sensor reflects the upstream inflow pressure, providing fundamental parameters for valve regulation; the outlet-side pressure sensor verifies the pressure reduction result and determines whether the downstream pressure meets process control requirements. By acquiring the upstream and downstream pressure signals, abnormal pressure alarms, valve status diagnosis, safety interlock control, and closed-loop regulation can be further implemented.

[0005] However, in practical engineering applications, the installation location of pressure sensors is often determined primarily by design experience, site space conditions, or conventional installation specifications. For example, the sensor opening location is usually selected based solely on factors such as distance from the valve or flange, available installation space outside the pipeline, and ease of maintenance, with less emphasis on precise judgment considering the internal flow field distribution patterns of the valve and its upstream and downstream regions. For valves such as pressure reducing valves and angle valves, which have complex internal flow channels and significant throttling effects, the upstream and downstream regions are not always in a stable flow state. Especially under conditions of high pressure differential, small opening, or rapid changes in operating conditions, local high-speed zones, backflow zones, pressure abrupt change zones, and vortex structures can easily form near the valve core, resulting in significant differences in pressure values ​​at different circumferential directions and axial distances in the pipeline.

[0006] If the pressure sensor is installed in a location with significant pressure fluctuations, obvious flow field disturbances, or where the static pressure has not yet recovered, the pressure signal collected by the sensor may not represent the true stable pressure before or after the valve. For example, if the inlet-side sensor is located in a position significantly affected by inlet structural disturbances or local backflow, it may cause large fluctuations in the measured pressure before the valve; if the outlet-side sensor is located in the backflow zone, vortex zone, or a position where pressure recovery is insufficient after the valve, it may cause the measured outlet pressure to deviate from the stable downstream pressure. These situations will affect the accuracy of the pressure reducing valve's operating status judgment, and in severe cases, may even cause false alarms, false interlocks, or control deviations.

[0007] Currently, although computational fluid dynamics methods can be used for flow field analysis inside valves, existing applications are more focused on valve structure optimization, pressure drop analysis, flow resistance calculation, or local erosion risk assessment, with fewer direct applications of multi-condition flow field simulation results for generating and optimizing pressure sensor installation locations. In other words, current technology typically lacks a solution that can automatically analyze upstream pressure fluctuations, downstream pressure recovery, and turbulence intensity based on flow field distribution data under different inlet pressures, outlet back pressures, and valve opening degrees, and thereby generate optimal spatial layout parameters for pressure sensors.

[0008] Therefore, there is an urgent need to provide a spatial location generation system and method for the deployment of fluid pressure metering sensors. This system should be able to identify regions with stable pressure upstream of the valve and regions with sufficient pressure recovery and minimal flow field disturbance downstream of the valve based on computational fluid dynamics simulation results. It should then convert these regions into spatial location parameters that can be used for field installation, thereby improving the stability, representativeness, and reliability of pressure sensor measurement results. Summary of the Invention

[0009] This application provides a spatial location generation system and method for fluid pressure metering sensor deployment, addressing the problems in existing technologies where pressure sensor installation locations primarily rely on manual experience, lack quantitative analysis of pressure fluctuations before and after valves, and struggle to guarantee sensor measurement stability and representativeness. By simulating the flow fields before, inside, and after valves under various operating conditions using computational fluid dynamics methods, and combining evaluation indicators such as pressure fluctuations, pressure recovery, and turbulence intensity, the spatial location parameters for sensor installation are generated, thereby improving the scientific rigor, accuracy, and reliability of fluid pressure metering sensor deployment.

[0010] A spatial location generation system for the deployment of fluid pressure metering sensors, the system including a spatial location parameter generation device; The spatial position parameter generation device includes a processing module; The processing module includes a simulation calculation unit and a position optimization unit; The simulation calculation unit is used to perform simulation calculations on the flow field before, inside and after the valve under various working conditions by changing the boundary condition parameters of the simulation model multiple times based on computational fluid dynamics methods, and obtain multiple sets of flow field distribution data. The position optimization unit is used to analyze the pressure fluctuation in the area before the valve, the pressure recovery in the area after the valve, and the flow field disturbance in the area after the valve based on the multiple sets of flow field distribution data, and to determine the spatial position parameters of the inlet pressure sensor and the outlet pressure sensor based on the analysis results. Specifically, the position optimization unit is used to determine the region in the upstream region where the pressure fluctuation standard deviation is lower than a first preset threshold as a candidate installation region for the inlet pressure sensor; and in the downstream region where the absolute value of the deviation between the local static pressure and the downstream stable region static pressure is less than a preset deviation range and the turbulence intensity is lower than a second preset threshold as a candidate installation region for the outlet pressure sensor; then, the inlet pressure sensor candidate installation region and the outlet pressure sensor candidate installation region are evaluated for measurement stability and measurement representativeness, and the final installation region is determined according to the evaluation results, generating corresponding spatial position parameters.

[0011] Furthermore, the simulation model includes a pipeline geometry model, a valve model, a pre-valve fluid domain, and a post-valve fluid domain; the valve model is arranged in the pipeline geometry model, and the pre-valve fluid domain and the post-valve fluid domain are located at the inlet and outlet ends of the valve model, respectively.

[0012] Furthermore, the boundary condition parameters include the inlet pressure before the valve, the back pressure after the valve outlet, and the valve opening.

[0013] Furthermore, the spatial position parameter generation device also includes a storage module, which is used to pre-store pipeline geometric parameters, valve structural parameters, and boundary condition parameters.

[0014] Furthermore, the spatial location parameter generation device also includes a display module, which is used to receive and visualize the finally generated spatial location parameters.

[0015] Furthermore, the spatial position parameters include one or more of the following: sensor type, corresponding pipe segment identifier, axial distance relative to the valve or flange reference plane, circumferential angle relative to the pipe cross section, three-dimensional coordinates of the installation point, and recommended installation direction.

[0016] Furthermore, the location optimization unit is also used to comprehensively evaluate the candidate installation areas of the inlet pressure sensor and the candidate installation areas of the outlet pressure sensor, respectively; wherein, the comprehensive evaluation indicators for the candidate installation areas of the inlet pressure sensor include pressure stability indicators and operating condition adaptability indicators, and the comprehensive evaluation indicators for the candidate installation areas of the outlet pressure sensor include pressure recovery indicators and flow field stability indicators, and the final installation areas of the inlet pressure sensor and the outlet pressure sensor are determined according to the comprehensive evaluation results.

[0017] A method for generating the spatial location of fluid pressure metering sensors, the method comprising the following steps: S1: Obtain preset pipeline geometry parameters, valve structure parameters, and boundary condition parameters; S2: Based on the pipeline geometric parameters and valve structural parameters, construct a fluid dynamics simulation model that includes the fluid domain before the valve, the valve model, and the fluid domain after the valve; S3: Configure the boundary condition parameters for the fluid dynamics simulation model. The boundary condition parameters include the inlet pressure before the valve, the back pressure after the valve outlet, and the valve opening. Perform simulation calculations based on computational fluid dynamics to obtain multiple sets of flow field distribution data. S4: Analyze the multiple sets of flow field distribution data, calculate the pressure fluctuation index of the candidate region before the valve and the pressure recovery index and flow field disturbance index of the candidate region after the valve, and determine the candidate installation region of the inlet pressure sensor and the candidate installation region of the outlet pressure sensor based on the pressure fluctuation index, pressure recovery index and flow field disturbance index. S5: Evaluate the measurement stability and representativeness of the candidate installation areas for the inlet pressure sensor and the candidate installation areas for the outlet pressure sensor, and determine the final installation areas based on the evaluation results; S6: Generate and output spatial location parameters based on the final installation area to guide the determination of the installation positions of the inlet pressure sensor and the outlet pressure sensor.

[0018] Furthermore, step S4 includes: Calculate the standard deviation of pressure fluctuation in different candidate regions before the valve, and determine the region where the standard deviation of pressure fluctuation is lower than the first preset threshold as the candidate installation region of the inlet pressure sensor; The deviation between the local static pressure in different candidate areas downstream of the valve and the static pressure in the downstream stable area, as well as the turbulence intensity, are calculated. Areas where the absolute value of the deviation is less than a preset deviation range and the turbulence intensity is lower than a second preset threshold are identified as candidate installation areas for the outlet pressure sensor.

[0019] Furthermore, step S5 includes: Based on one or more of the following indicators—pressure fluctuation standard deviation, deviation between local static pressure and downstream stable region static pressure, turbulence intensity, and ease of installation—the candidate installation areas for the inlet pressure sensor and the candidate installation areas for the outlet pressure sensor are comprehensively evaluated, and the areas that meet the preset conditions in the comprehensive evaluation results are selected as the final installation areas.

[0020] This application has the following advantages: This application combines computational fluid dynamics (CFD) simulation with location optimization analysis to quantitatively analyze upstream pressure fluctuations, downstream pressure recovery, and local flow field disturbances before the actual installation of pressure sensors. This reduces the risk of measurement deviations and control misjudgments caused by improper installation location selection. Based on multi-condition flow field distribution data, the system automatically selects areas with small pressure fluctuations, sufficient pressure recovery, and weak flow field disturbances, generating corresponding spatial location parameters. This ensures that the determined installation locations of the inlet and outlet pressure sensors have good measurement stability and representativeness. Simultaneously, by automatically generating and optimizing spatial location parameters, the influence of manual experience on the deployment results is reduced, improving the reliability and repeatability of the generated spatial location parameters. This solution provides a more accurate and reliable installation basis and data foundation for pressure monitoring, closed-loop control, and safety interlocking in petrochemical pipeline pressure reduction systems. Attached Figure Description

[0021] Figure 1 The main flowchart is for the method of generating the spatial location of fluid pressure metering sensors. Figure 2 A system block diagram for generating the spatial location of fluid pressure metering sensors; Figure 3 The three-dimensional fluid domain geometric model diagram provided in this application; Figure 4 This is a diagram showing the overall grid division. Figure 5This is a partially encrypted image; Figure 6 Set up a graph for the boundary layer; Figure 7 This is a vertical slice image corresponding to position one; Figure 8 This is the horizontal slice image corresponding to position two; Figure 9 The diagram shows the three-dimensional streamline distribution under the conditions of valve opening of 5%, inlet pressure of 25 MPa, and outlet back pressure of 1.5 MPa. Figure 10 The longitudinal pressure-velocity distribution diagram is shown under the conditions of valve opening of 5%, inlet pressure of 25MPa, and outlet back pressure of 1.5MPa. Figure 11 The longitudinal temperature distribution is shown under the conditions of valve opening of 5%, inlet pressure of 25 MPa, and outlet back pressure of 1.5 MPa. Figure 12 This is a diagram showing the horizontal pressure distribution under the conditions of valve opening of 5%, inlet pressure of 25 MPa, and outlet back pressure of 1.5 MPa. Figure 13 The horizontal temperature distribution is shown under the conditions of valve opening of 5%, inlet pressure of 25 MPa, and outlet back pressure of 1.5 MPa. Figure 14 A three-dimensional location map of pressure monitoring at the inlet section; Figure 15 Diagram showing the location of the pressure monitoring section at the inlet; Figure 16 A three-dimensional location map of pressure monitoring at the outlet section; Figure 17 Diagram showing the location of the pressure monitoring section at the outlet; Figure 18 The diagram shows the pressure analysis at different positions of the inlet section under the conditions of inlet pressure of 25MPa, outlet pressure of 1.5MPa, and valve opening of 5%. Figure 19 This is a pressure analysis diagram of different positions in the inlet section under the conditions of inlet pressure 25MPa, outlet pressure 1.5MPa, and valve opening 10%; Figure 20 This is a pressure analysis diagram of different positions in the inlet section under the conditions of inlet pressure 25MPa, outlet pressure 1.5MPa, and valve opening 20%; Figure 21 The diagram shows the pressure analysis at different positions of the inlet section under the conditions of inlet pressure of 25MPa, outlet pressure of 1.5MPa, and valve opening of 35%. Figure 22 This is a pressure analysis diagram of different positions in the inlet section under the conditions of inlet pressure 25MPa, outlet pressure 1.5MPa, and valve opening 50%; Figure 23This is a pressure analysis diagram of different positions in the inlet section under the conditions of inlet pressure 25MPa, outlet pressure 1.5MPa, and valve opening 70%; Figure 24 This is a pressure analysis diagram of different positions in the inlet section under the conditions of inlet pressure 25MPa, outlet pressure 1.5MPa, and valve opening 90%; Figure 25 This is a pressure analysis diagram of different positions in the outlet section under the conditions of inlet pressure 25MPa, outlet pressure 1.5MPa, and valve opening 10%; Figure 26 This is a pressure analysis diagram of different positions in the outlet section under the conditions of inlet pressure 25MPa, outlet pressure 1.5MPa, and valve opening 20%; Figure 27 This is a pressure analysis diagram of different positions in the outlet section under the conditions of inlet pressure 25MPa, outlet pressure 1.5MPa, and valve opening 35%; Figure 28 This is a pressure analysis diagram of different positions in the outlet section under the conditions of inlet pressure 25MPa, outlet pressure 1.5MPa, and valve opening 50%; Figure 29 This is a pressure analysis diagram of different positions in the outlet section under the conditions of inlet pressure 25MPa, outlet pressure 1.5MPa, and valve opening 70%. Figure 30 This is a pressure analysis diagram of different positions in the outlet section under the conditions of inlet pressure 25MPa, outlet pressure 1.5MPa, and valve opening 90%.

[0022] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Detailed Implementation

[0023] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application. It should be noted that the accompanying drawings of this application... Figure 18 To be continued Figure 30 The "opening distance" marked on the horizontal axis specifically refers to the axial distance along the pipeline axis relative to the corresponding flange reference plane. Its meaning is completely consistent with the "axial distance" described in the specific implementation method, and does not refer to the valve opening degree; Appendix Figure 18 To be continued Figure 24 and appendix Figure 25 To be continued Figure 30 The corresponding valve opening conditions have been clearly defined in the accompanying drawings and the corresponding paragraphs of the embodiments.

[0024] Example 1: This embodiment provides a specific simulation modeling and location generation process for a method to generate the spatial location of fluid pressure metering sensors. Taking an angle valve in a petrochemical pipeline pressure reduction system as the research object, this embodiment establishes fluid dynamics simulation models before, inside, and after the valve to calculate the internal flow field under different valve opening degrees, inlet pressures, and outlet back pressures. Based on the calculation results, it generates the optimal spatial location parameters for the inlet and outlet pressure sensors.

[0025] like Figure 1 As shown, the method described in this embodiment mainly includes steps such as model invocation, simulation modeling, boundary condition configuration, flow field simulation calculation, candidate installation location extraction, flow field stability evaluation, optimal spatial location generation, and spatial location parameter output. The specific implementation process is as follows.

[0026] S101, Establish the geometric model.

[0027] By calling the pre-stored pipe geometry parameters and angle valve model parameters in the storage module, a three-dimensional fluid domain geometric model is established. The overall geometric structure is as follows: Figure 3 As shown.

[0028] The three-dimensional fluid domain geometric model includes a pipe geometry, a valve geometry, a pre-valve fluid domain, and a post-valve fluid domain; the valve geometry is arranged in the pipe geometry, and the pre-valve fluid domain and the post-valve fluid domain are located at the inlet and outlet ends of the valve geometry, respectively.

[0029] Combination Figure 3 The complete fluid flow structure shown illustrates the division of each region: the inlet pipe section and the straight pipe section before the valve (incoming flow section) together constitute the inlet fluid domain before the valve. The straight pipe section before the valve is used to simulate the incoming flow state of the medium before entering the angle valve. The valve body is the main body of the angle valve, which contains the internal flow channel of the angle valve and the valve core throttling area (throttling port position). The downstream pressure recovery area of ​​the valve core throttling area and the outlet extension section with a length of 20 cm together constitute the downstream fluid domain after the valve. The downstream pressure recovery area is used to simulate the pressure recovery process after the medium is throttled.

[0030] To reduce the interference of the outlet boundary on the calculation results of the pressure recovery after the valve and to avoid the outlet backflow affecting the determination of the placement of the sensor after the valve, this embodiment sets an outlet extension section with a length of 20cm on the pressure outlet side.

[0031] During the modeling process, a three-dimensional coordinate system is established using the valve center or valve body feature center as a reference datum. The direction along the pipe axis is defined as the X-direction, and the pipe radial directions are defined as the Y and Z directions. The spatial position parameters of the subsequently generated inlet and outlet pressure sensors can be expressed as the axial distance, radial angle, and mounting surface coordinates relative to this reference datum.

[0032] S102, Generate the computational grid.

[0033] Import the three-dimensional fluid domain geometric model obtained in step S101 into the mesh generation module.

[0034] like Figures 4 to 6 As shown, this embodiment uses an unstructured mesh to divide the overall fluid domain. Among them, Figure 4 The overall mesh generation result is shown. Figure 5 A local encryption area is shown. Figure 6 The boundary layer settings are shown. The base mesh size is 0.004m, and the maximum mesh size is 0.05m.

[0035] For regions with significant flow field gradient changes, including the internal flow channels of angle valves, throttling regions, inlet transition regions, outlet pressure recovery regions, and near the pipe wall, local mesh refinement is performed. Simultaneously, a boundary layer mesh is set near the pipe wall to improve the accuracy of near-wall pressure, velocity, and turbulence intensity calculations. After mesh generation, the mesh quality is checked, including at least mesh distortion rate, orthogonality quality, and boundary layer continuity. Once the mesh quality meets the computational requirements, the mesh model is sent to the simulation calculation unit.

[0036] S103, Set the control equations and calculation model.

[0037] The simulation unit solves the flow process within the valve using computational fluid dynamics (CFD) methods. The continuity equation, momentum equation, energy equation, component transport equation, various turbulence models, and numerical discretization algorithms are all conventional CFD solution methods in this field. The core improvement of this invention lies in the subsequent sensor location evaluation and selection logic constructed based on flow field data. The governing equations used include the continuity equation, momentum equation, energy equation, and component transport equation.

[0038] The continuity equation is used to describe the conservation of fluid mass, the momentum equation is used to describe the motion of fluid under pressure gradient, viscosity and turbulence, the energy equation is used to describe temperature changes during throttling and expansion, and the component transport equation is used to describe the transport behavior of each component in the medium during the flow process.

[0039] To accurately acquire turbulence intensity, pressure, and velocity flow field data for evaluating the sensor installation area, numerical solution parameters adapted to the throttling and backflow conditions of the pressure-reducing valve need to be configured. In one optional implementation, the turbulence model can employ a standard k-Epsilon model, a renormalization group k-Epsilon (RNG k-Epsilon) model, a realizable k-Epsilon model, or a shear stress transport k-Omega (SST k-ω) model. For petrochemical pressure-reducing valves with significant throttling, backflow, and localized high-speed flow, the renormalization group k-Epsilon (RNG k-Epsilon) model or the shear stress transport k-Omega (SST k-ω) model, which can better describe the complex backflow region, is preferred.

[0040] During the calculation, the pressure-velocity coupled algorithm can employ a semi-implicit method for pressure-linked equations (SIMPLE), a consistent semi-implicit method for pressure-linked equations (SIMPLEC), or a coupled algorithm. The pressure discretization scheme can be a second-order scheme, and the momentum, energy, and turbulence equations can be second-order upwind schemes. The convergence criterion can be set as follows: the residuals of the continuity, momentum, and turbulence equations are less than 10. -4 The residual of the energy equation is less than 10. -6 Alternatively, the calculation is considered converged when the pressure, velocity, and temperature at the monitoring point tend to stabilize with the number of iterations.

[0041] S104, configures multiple sets of boundary conditions.

[0042] To cover the typical operating conditions of the pressure reducing valve, this embodiment changes the inlet pressure, outlet back pressure, and valve opening to form multiple combinations of boundary conditions.

[0043] Specifically, the valve opening is set to 5%, 10%, 20%, 35%, 50%, 70%, and 90%. The inlet pressure is set to 25 MPa and 3 MPa. The outlet back pressure is set to 1.5 MPa, 2.5 MPa, and 4 MPa.

[0044] In one specific implementation, the simulation conditions include: The inlet pressure is 25 MPa, and the outlet back pressures are 1.5 MPa, 2.5 MPa, and 4 MPa, respectively, with valve openings of 5%, 10%, 20%, 35%, 50%, 70%, and 90%, respectively. The inlet pressure is 3 MPa, the outlet back pressures are 1.5 MPa and 2.5 MPa, and the valve openings are 5%, 10%, 20%, 35%, 50%, 70% and 90%, respectively.

[0045] By using the above settings, internal flow field distribution data under different operating conditions such as high pressure differential, low pressure differential, low opening degree, medium opening degree, and high opening degree can be obtained, thereby avoiding the problem of insufficient applicability caused by determining the sensor position based on only a single operating condition.

[0046] S105 executes CFD simulation calculations and generates flow field data.

[0047] The simulation calculation unit performs calculations sequentially according to the boundary conditions set in step S104 to obtain flow field distribution data under different operating conditions. The flow field distribution data includes at least pressure distribution data, velocity distribution data, turbulence intensity distribution data, and temperature distribution data.

[0048] like Figure 7 and Figure 8 As shown, in this embodiment... Figure 3 Different cross-sections are cut from the three-dimensional fluid domain geometric model shown, and flow field information of key regions before, inside, and after the valve is extracted by cross-sectional slicing. Figure 7 The vertical slice corresponding to position one is shown. Figure 8 The transverse slice corresponding to position two is shown. The longitudinal slice is used to observe the pressure, velocity, and temperature changes of the fluid along the pipe axis and the valve throttling direction; the transverse slice is used to observe the pressure distribution differences and local disturbances in different circumferential directions.

[0049] Multiple simulation results show that under low valve opening conditions, especially when the valve opening is 5% to 10%, the throttling effect is strong, and the streamlines contract in a bundle-like manner near the valve core. Local backflow, pressure abrupt changes, and velocity abrupt changes may occur both before and after the valve. Under medium valve opening conditions, the flow field disturbance is significantly reduced, and the pressure gradient tends to be gentler. Under high valve opening conditions, the fluid mainly exhibits a relatively straight flow state, and the pressure, velocity, and temperature distribution are relatively uniform.

[0050] like Figures 9 to 13 As shown, under extreme operating conditions of an inlet pressure of 25 MPa, an outlet back pressure of 1.5 MPa, and a valve opening of 5%, a significant throttling effect occurs inside the valve. Figure 9 The three-dimensional streamline distribution is shown. Figure 10 The longitudinal pressure and velocity distribution are shown. Figure 11 The longitudinal temperature distribution is shown. Figure 12 The horizontal pressure distribution is shown. Figure 13 The horizontal temperature distribution is shown. Figures 9 to 13 It is known that under the combined effects of high pressure differential and low valve opening, the streamlines near the valve core contract drastically, and there is a significant pressure recovery process and local vortex structure in the downstream region, accompanied by spatially non-uniform distribution of pressure, velocity, and temperature. Therefore, this embodiment uses the operating conditions of inlet pressure 25MPa, outlet back pressure 1.5MPa, and valve opening 5% as extreme verification conditions to verify the measurement stability and representativeness of the selected sensor placement location under harsh conditions.

[0051] S106, Establish candidate installation areas.

[0052] After obtaining multiple sets of flow field distribution data, the location optimization unit establishes candidate installation areas in the upstream and downstream regions of the valve, respectively.

[0053] like Figure 14 and Figure 15 As shown, for the inlet pressure sensor, multiple candidate circumferential directions and multiple candidate axial distances are selected at the inlet section before the valve. Among them, Figure 14 The three-dimensional candidate locations of the inlet segment are shown. Figure 15 The candidate locations of the inlet section cross-section are shown. In this embodiment, a quarter-circumference area of ​​the inlet section is used for monitoring and analysis. The candidate circumferential directions include the 12 o'clock direction, the 45° upward direction, and the 9 o'clock direction. Along the axial direction of the inlet section, multiple candidate cross-sections are extracted within a preset distance from the inlet flange surface, and corresponding candidate points or candidate regions are extracted on each candidate cross-section.

[0054] like Figure 16 and Figure 17 As shown, for the outlet pressure sensor, multiple candidate circumferential directions and multiple candidate axial distances are selected in the outlet section after the valve. Among them, Figure 16 The three-dimensional candidate locations of the exit section are shown. Figure 17 The candidate locations of the outlet section cross-section are shown. In this embodiment, half of the circumference of the outlet section is used for monitoring and analysis. The candidate circumferential directions include the 6 o'clock direction, the downward 45° direction, the 9 o'clock direction, the upward 45° direction, and the 12 o'clock direction. Along the axial direction of the outlet section, multiple candidate cross-sections are extracted within a preset distance from the outlet flange face, and corresponding candidate points or candidate regions are extracted on each candidate cross-section.

[0055] The candidate installation area corresponds to each candidate location. It can be a single installation point on the pipe wall, or a wall area with a certain area centered on that installation point. Using candidate installation areas for calculation can reduce the impact of fluctuations in the values ​​of individual grid nodes on the location determination results.

[0056] S107, calculate the pressure stability index of the candidate region on the inlet side.

[0057] For each candidate installation area on the inlet side, the location optimization unit extracts the pressure value of that area under different operating conditions and calculates the average pressure and the standard deviation of pressure fluctuation.

[0058] average pressure It can be represented as:

[0059] Standard deviation of pressure fluctuation It can be represented as:

[0060] in, Indicates the first candidate region Pressure values ​​at each sampling point Indicates the number of sampling points. This represents the average pressure in the candidate region. This represents the standard deviation of pressure fluctuation.

[0061] like Figures 18 to 24 As shown, under the conditions of an inlet pressure of 25 MPa and an outlet back pressure of 1.5 MPa, the pressure distribution at different candidate locations in the inlet section is analyzed when the valve opening is 5%, 10%, 20%, 35%, 50%, 70%, and 90%. Figure 18 Corresponding valve opening degree 5%, Figure 19 The corresponding valve opening is 10%. Figure 20 Corresponding valve opening degree 20%, Figure 21 The corresponding valve opening is 35%. Figure 22 Corresponding to a valve opening of 50%, Figure 23 Corresponding to a valve opening of 70%, Figure 24 This corresponds to a valve opening of 90%.

[0062] Through the Figures 18 to 24 The comparison shows that the pressure stability varies at different circumferential directions and different axial distances in the inlet section. Among them, the candidate region at an upward 45° angle in the inlet section is less affected by local inlet disturbances and structural distortions, and has lower pressure fluctuations at different opening degrees, thus reflecting the incoming flow pressure in front of the valve more stably.

[0063] In a preferred embodiment, the candidate region on the inlet side must meet one or a combination of the following conditions: First, the standard deviation of pressure fluctuations. Below the first preset threshold; Second, the standard deviation of pressure fluctuations. With average pressure The ratio is lower than the preset ratio; Third, under different valve opening degrees and different inlet pressure conditions, the pressure ranking of the candidate region remained stable, and no obvious abnormal peaks were observed.

[0064] The first preset threshold can be determined based on the pipeline pressure rating, sensor accuracy, and allowable pressure fluctuation range of the process. For example, the first preset threshold can be set to less than 80% of the average standard deviation of pressure fluctuation in all candidate areas of the same cross-section, or it can be set to 0.5% to 2% of the average pressure in the candidate areas. The above values ​​are only preferred ranges and do not constitute a limitation on the scope of protection of this invention.

[0065] S108 calculates the pressure recovery and flow field stability indices of the candidate region on the outlet side.

[0066] For each candidate installation area on the outlet side, the location optimization unit extracts static pressure, velocity, and turbulence intensity data for that area under different operating conditions, and calculates pressure recovery rate, turbulence intensity index, and velocity fluctuation index.

[0067] Pressure recovery rate It can be represented as:

[0068] in, This indicates the local static pressure in the candidate area on the export side. This represents the static pressure reference value in the stable downstream region after the valve. The static pressure can be determined by averaging the pressure at several cross-sections downstream of the valve, away from the throttling orifice and the reflux zone, or by averaging the pressure at multiple cross-sections near the end of the outlet extension. When the absolute value of the deviation between the local static pressure in the candidate region and the downstream stable value is less than a preset deviation range, it is determined that the static pressure in that region has essentially recovered. The preset deviation range can be ±1% to ±5%, preferably ±2%.

[0069] Turbulence intensity It can be used to characterize the degree of flow field disturbance in the region. When the turbulence intensity in the candidate region is lower than the second preset threshold, it indicates that the region is less affected by vortex, backflow, and shear disturbances. The second preset threshold can be determined according to the type of medium, valve structure, and sensor accuracy requirements; for example, it can be set to 5% to 10%.

[0070] Taking typical valve opening conditions as examples, the pressure distribution at different axial and circumferential positions of the outlet section is analyzed. For example... Figures 25 to 30 As shown, under the conditions of inlet pressure 25 MPa and outlet back pressure 1.5 MPa, the pressure distribution at different candidate locations in the outlet section is analyzed when the valve opening is 10%, 20%, 35%, 50%, 70%, and 90%. Figure 25 The corresponding valve opening is 10%. Figure 26 Corresponding valve opening degree 20%, Figure 27 The corresponding valve opening is 35%. Figure 28 Corresponding to a valve opening of 50%, Figure 29 Corresponding to a valve opening of 70%, Figure 30 This corresponds to a valve opening of 90%.

[0071] Through the Figures 25 to 30 The comparison shows that the pressure distribution at some locations in the outlet section is easily affected by the backflow after the valve and the pressure recovery process. Therefore, areas with large pressure changes or obvious inflection points should be avoided.

[0072] Considering the pressure distribution under different operating conditions, within an axial distance of 2-4 cm from the outlet flange, the pressure fluctuation at the position corresponding to the 9 o'clock position is relatively small and less affected by backflow and vortex. It can accurately characterize the outlet pressure after the valve and can be regarded as the preferred installation area for the outlet pressure sensor.

[0073] In a preferred embodiment, the second preset threshold is 5%, and the candidate regions on the exit side must simultaneously meet the following requirements:

[0074] In the formula, The turbulence intensity is specified; and the velocity fluctuation amplitude is less than 10% of the average velocity at the same cross section.

[0075] The area that meets the above conditions can be considered to be in a position where the pressure has recovered and the flow field is relatively stable, and is suitable as an installation area for the outlet pressure sensor.

[0076] Furthermore, in this embodiment, both the first and second preset thresholds can be set according to the pipeline pressure level, medium properties, valve structure, sensor accuracy level, and the allowable pressure fluctuation range of the process. Specifically, the first preset threshold is used to determine the pressure measurement stability of the candidate region upstream of the valve, and can be an absolute pressure fluctuation threshold, a relative pressure fluctuation threshold, or a statistical threshold for pressure fluctuation within the same candidate cross-section. For example, the first preset threshold can be set to 0.5% to 2% of the average pressure of the candidate region, or it can be set to below 80% of the average standard deviation of pressure fluctuations in all candidate regions within the same cross-section. The second preset threshold is used to determine the degree of flow field disturbance in the candidate region downstream of the valve, and can be a turbulence intensity threshold, a velocity fluctuation threshold, or a combination of both. For example, the second preset threshold can be set to 5% to 10% of the turbulence intensity. When the static pressure in the candidate region downstream of the valve recovers to the downstream stable value, and the turbulence intensity is lower than the second preset threshold, it is determined that the region meets the measurement representativeness requirements of the outlet pressure sensor.

[0077] S109, Establish a comprehensive scoring model.

[0078] In order to determine the optimal installation location among multiple candidate regions, the location optimization unit establishes a comprehensive scoring model for the candidate regions on the inlet side and the candidate regions on the outlet side.

[0079] For the inlet pressure sensor, the comprehensive score can be expressed as:

[0080] in, Indicates the pressure stability score. Indicates the operational adaptability score. The rating indicates ease of installation; , , Let be the weighting coefficients, and satisfy:

[0081] Pressure stability rating It is negatively correlated with the standard deviation of pressure fluctuation, meaning the smaller the standard deviation of pressure fluctuation, The higher the score, the better the adaptability rating. This is used to evaluate whether the candidate region can maintain stable measurement results under different inlet pressures, outlet back pressures, and valve openings. Installation ease of installation score. This is used to evaluate whether the candidate area is easy to drill, weld, install, and maintain.

[0082] In one specific implementation, 0.5 is acceptable. 0.3 is acceptable. 0.2 is acceptable.

[0083] For outlet pressure sensors, the comprehensive score can be expressed as:

[0084] in, Indicates stress recovery score, Indicates the turbulence intensity score. Indicates speed fluctuation score, The rating indicates ease of installation; , , , Let be the weighting coefficients, and satisfy:

[0085] Stress recovery score Positively correlated with the degree to which the static pressure in the candidate region approaches the downstream steady-state value; turbulence intensity score Negatively correlated with turbulence intensity; velocity fluctuation score Negatively correlated with speed fluctuation amplitude; installation convenience score Used to evaluate the actual installability of the candidate region on the pipe wall.

[0086] In one specific implementation, 0.4 is acceptable. 0.3 is acceptable. 0.2 is acceptable. 0.1 is acceptable.

[0087] The scoring model and weight values ​​described above can be adjusted according to the actual pipe size, valve type, media type, and sensor accuracy requirements. As long as it is used to determine the sensor installation location based on pressure stability, pressure recovery degree, and flow field stability, it falls under the equivalent implementation of the technical solution disclosed in this embodiment.

[0088] S110, determine the optimal installation location.

[0089] The location optimization unit calculates a comprehensive score for the candidate regions on the entrance side and the candidate regions on the exit side according to the scoring model in step S109, and sorts them from high to low according to the comprehensive score.

[0090] When multiple candidate regions meet the stability conditions, the region with the highest comprehensive score is selected first; when multiple candidate regions have the same or similar comprehensive scores, the region with more installation space, less installation interference, and easier inspection and maintenance is selected first.

[0091] Combination Figure 14 , Figure 15 as well as Figures 18 to 24 Based on the candidate inlet locations and pressure analysis results shown, this embodiment determines the optimal installation location for the inlet pressure sensor to be at a 45° angle to the top of the pipe, i.e., inlet location two, specifically at a distance of 3cm to 7cm from the inlet flange face. This location avoids the inlet throttling element, the flared structure, and the local pressure distortion zone, resulting in smaller pressure fluctuations and a more stable reflection of the true pressure upstream of the valve.

[0092] Combination Figure 16 , Figure 17 as well as Figures 25 to 30 Based on the candidate outlet locations and pressure analysis results shown, this embodiment determines the preferred installation location for the outlet pressure sensor to be at the 9 o'clock position on the pipeline, i.e., outlet location six, specifically at a distance of 2cm to 4cm from the outlet flange face. This location avoids areas with large pressure fluctuations or obvious inflection points, is less affected by backflow and vortex effects, and can accurately reflect the outlet pressure of the pressure reducing valve.

[0093] S111, Generate spatial location parameters.

[0094] After determining the optimal installation positions for the inlet and outlet pressure sensors, the position optimization unit converts the optimal installation positions into spatial position parameters.

[0095] The spatial location parameters include at least: sensor type, corresponding pipe segment identifier, axial distance relative to the valve or flange reference plane, circumferential angle relative to the pipe cross section, three-dimensional coordinates of the installation point, recommended installation direction, recommended installation angle, comprehensive score of candidate area, and applicable working condition range.

[0096] For example, in this embodiment, the spatial position parameters corresponding to the inlet pressure sensor can be expressed as: inlet section, 3cm to 7cm from the inlet flange surface, at a 45° angle to the top of the pipe. The spatial position parameters corresponding to the outlet pressure sensor can be expressed as: outlet section, 2cm to 4cm from the outlet flange surface, at the 9 o'clock position of the pipe.

[0097] S112, outputs spatial position parameters.

[0098] The display module receives the spatial location parameters generated in step S111 and displays them in the form of text, coordinate tables, 3D model annotations, or 2D cross-sectional views. These spatial location parameters are used to guide the determination of the installation locations of the inlet and outlet pressure sensors.

[0099] Thus, this embodiment completes the generation and output of spatial position parameters for the inlet and outlet pressure sensors. Through the above implementation method, this embodiment can automatically select sensor placement locations with small pressure fluctuations, sufficient pressure recovery, low turbulence intensity, and ease of installation and maintenance based on flow field simulation results under different operating conditions. Compared with methods relying on manual experience to determine installation locations, this embodiment can improve the stability, representativeness, and repeatability of sensor measurement results, and ensure the accuracy of pressure monitoring before and after the pressure reducing valve under harsh operating conditions such as high pressure differentials and low opening degrees, providing reliable position parameter basis for pressure monitoring before and after the pressure reducing valve.

[0100] Example 2: This embodiment provides a spatial location generation system for the deployment of fluid pressure metering sensors. This system is used to execute the spatial location generation method described in Embodiment 1 and convert the optimal sensor deployment location obtained from simulation calculations into spatial location parameters.

[0101] The system includes a spatial position parameter generation device, which is used to establish a fluid dynamics simulation model, configure simulation conditions, generate flow field distribution data, evaluate candidate installation areas, and output the spatial position parameters of the inlet pressure sensor and the outlet pressure sensor.

[0102] like Figure 2As shown, the spatial position parameter generation device mainly includes a processing module, a storage module, and a display module. The system also includes a data input module, which is used to input various basic parameters such as pipeline geometric parameters, valve structural parameters, boundary condition parameters, and evaluation threshold parameters into the storage module. The storage module uniformly stores all types of data required throughout the simulation process; the processing module performs simulation calculations and position optimization; and the display module displays the final generated spatial position parameters, comprehensive score, and visualization analysis results.

[0103] The storage module stores the basic data, simulation data, and result data required during system operation. The basic data includes pipeline geometric parameters, valve structural parameters, valve opening parameters, media property parameters, boundary condition parameters, candidate installation area parameters, and evaluation threshold parameters. The simulation data includes pressure distribution data, velocity distribution data, temperature distribution data, and turbulence intensity distribution data generated under different operating conditions. The result data includes inlet pressure sensor spatial location parameters, outlet pressure sensor spatial location parameters, candidate area scoring results, and three-dimensional coordinate annotation results.

[0104] In one specific embodiment, the pipeline geometric parameters include the pipeline inner diameter, pipeline outer diameter, length of the straight pipe section before the valve, length of the straight pipe section after the valve, flange position, weld position, and installation area boundary. The angle valve model parameters include the angle valve's external dimensions, internal flow channel position, throttling region position, valve inlet and outlet directions, and valve center reference point. The boundary condition parameters include inlet pressure, outlet back pressure, valve opening degree, inlet flow rate, medium temperature, and medium composition. The evaluation threshold parameters include pressure fluctuation standard deviation threshold, pressure recovery deviation threshold, turbulence intensity threshold, and velocity fluctuation threshold.

[0105] The processing module is the core computational component of the spatial location parameter generation device. The processing module includes a simulation modeling unit, a mesh processing unit, a simulation calculation unit, a data extraction unit, a location optimization unit, and a parameter generation unit.

[0106] The simulation modeling unit is used to retrieve pipeline geometric parameters and valve structural parameters from the storage module, and to establish a fluid dynamics simulation model based on these parameters. The fluid dynamics simulation model includes a fluid domain upstream of the valve, a fluid domain inside the valve, and a fluid domain downstream of the valve. To reduce the influence of the outlet boundary on the pressure recovery region determination results, the simulation modeling unit is also used to establish an outlet extension section on the downstream outlet side.

[0107] The mesh processing unit is used to generate a mesh for the fluid dynamics simulation model established by the simulation modeling unit. The mesh processing unit can use an unstructured mesh to divide the overall fluid domain and locally refine the mesh for the valve core, valve seat, throttling orifice, inlet disturbance region, outlet pressure recovery region, and near-wall region of the pipe. The mesh processing unit is also used to set boundary layer meshes to improve the accuracy of near-wall pressure and turbulence intensity calculations.

[0108] In a preferred embodiment, the mesh processing unit is also used to perform mesh quality checks. When the mesh distortion rate, orthogonality quality, or boundary layer continuity does not meet preset requirements, the mesh processing unit can readjust the local mesh size or boundary layer parameters until the mesh quality meets the computational requirements.

[0109] The simulation calculation unit is used to perform computational fluid dynamics simulation calculations based on the mesh model output by the mesh processing unit and the boundary condition parameters provided by the storage module. The simulation calculation unit obtains flow field distribution data under multiple operating conditions by repeatedly changing the inlet pressure, outlet back pressure, and valve opening.

[0110] In one specific implementation, when the inlet pressure is 25 MPa, the outlet back pressure is set to 1.5 MPa, 2.5 MPa, and 4 MPa, respectively; when the inlet pressure is 3 MPa, the outlet back pressure is set to 1.5 MPa and 2.5 MPa, respectively; under each combination of inlet pressure and outlet back pressure, the valve opening is set to 5%, 10%, 20%, 35%, 50%, 70%, and 90%, respectively; through the above combination of multiple boundary conditions, the simulation calculation unit can obtain the flow field distribution results under different pressure differences, different openings, and different flow states.

[0111] The flow field distribution data output by the simulation calculation unit includes at least pressure field data, velocity field data, temperature field data, and turbulence intensity field data. The pressure field data is used to determine the pressure stability and representativeness of the sensor measurement area; the velocity field data is used to determine whether there are local high speeds, backflows, or sudden velocity changes in the candidate region; the temperature field data is used to assist in identifying throttling expansion regions and local extreme flow regions; and the turbulence intensity field data is used to determine whether the candidate region is in a severely disturbed region.

[0112] The data extraction unit is used to extract candidate installation area data from the flow field distribution data output by the simulation calculation unit. The data extraction unit can determine multiple candidate positions in the upstream and downstream regions of the valve according to preset axial distance, circumferential angle and cross-sectional position, establish candidate installation areas corresponding to each candidate position, and extract the pressure value, velocity value, temperature value and turbulence intensity value corresponding to each candidate installation area.

[0113] For the inlet pressure sensor, the data extraction unit can set candidate positions within a quarter circumference of the inlet section, including the 12 o'clock position, the 45° upward direction, and the 9 o'clock position. For the outlet pressure sensor, the data extraction unit can set candidate positions within a half circumference of the outlet section, including the 6 o'clock position, the 45° downward direction, the 9 o'clock position, the 45° upward direction, and the 12 o'clock position.

[0114] The location optimization unit is used to evaluate the candidate installation area data extracted by the data extraction unit and select the optimal installation areas for the inlet pressure sensor and the outlet pressure sensor.

[0115] For the inlet pressure sensor, the position optimization unit calculates the average pressure and standard deviation of pressure fluctuation for each candidate installation area. When the standard deviation of pressure fluctuation in a candidate installation area is lower than a first preset threshold, and the area can stably reflect the inlet pressure under multiple operating conditions, the position optimization unit determines the candidate installation area as a suitable installation area for the inlet pressure sensor.

[0116] For the outlet pressure sensor, the position optimization unit calculates the pressure recovery rate, turbulence intensity, and velocity fluctuation amplitude for each candidate installation area. When the absolute value of the deviation between the static pressure of a candidate installation area and the static pressure of the downstream stable area is less than a preset deviation range, and the turbulence intensity is lower than a second preset threshold, the position optimization unit determines that the candidate installation area as a selectable installation area for the outlet pressure sensor.

[0117] Furthermore, the location optimization unit is also used to establish a comprehensive scoring model. For the inlet pressure sensor, the comprehensive scoring model may include a pressure stability score, an operating condition adaptability score, and an installation convenience score. For the outlet pressure sensor, the comprehensive scoring model may include a pressure recovery score, a turbulence intensity score, a velocity fluctuation score, and an installation convenience score.

[0118] The installation convenience score is used to eliminate locations unsuitable for sensor installation. For example, if a candidate area interferes with flanges, welds, brackets, or valve body reinforcements, or does not meet the space requirements for sensor installation and maintenance, the location optimization unit can lower the installation convenience score of the candidate area or exclude the candidate area altogether.

[0119] In one specific implementation, the location optimization unit determines the optimal installation position of the inlet pressure sensor by scoring and ranking multiple candidate installation areas. The optimal installation position is a pipe section at a 45° angle from the top of the inlet section of the pipe, and 3cm to 7cm from the inlet flange. The optimal installation position of the outlet pressure sensor is a pipe section at the 9 o'clock position of the outlet section of the pipe, and 2cm to 4cm from the outlet flange.

[0120] The parameter generation unit converts the optimal installation area determined by the position optimization unit into spatial position parameters. These spatial position parameters include sensor number, sensor type, corresponding pipe segment, axial distance, circumferential angle, three-dimensional coordinates, recommended installation direction, recommended installation angle, applicable operating conditions, and a comprehensive score.

[0121] In one specific embodiment, the parameter generation unit generates the spatial position parameters of the inlet pressure sensor as follows: inlet pressure sensor, inlet section, 3cm to 7cm from the inlet flange face, at a 45° angle to the top of the pipe. The parameter generation unit generates the spatial position parameters of the outlet pressure sensor as follows: outlet pressure sensor, outlet section, 2cm to 4cm from the outlet flange face, at the 9 o'clock position of the pipe.

[0122] The display module receives spatial location parameters output by the parameter generation unit and displays these parameters visually. The display module can show the recommended installation locations of the inlet and outlet pressure sensors in the form of text lists, two-dimensional cross-sectional views, three-dimensional model annotations, scoring tables, or location annotation diagrams.

[0123] In a preferred embodiment, the display module is also used to display the comprehensive scoring and ranking results of different candidate installation areas, enabling engineers to view the basis for generating the optimal location. The display module can also display pressure contour maps, velocity contour maps, temperature contour maps, turbulence intensity contour maps, and streamline distribution maps, so that engineers can verify whether the selected installation location avoids backflow areas, local high-speed areas, pressure change areas, and areas of severe turbulence.

[0124] The working process of this embodiment is as follows: First, the storage module provides the processing module with pipe geometry parameters, valve structure parameters, and boundary condition parameters. Then, the simulation modeling unit establishes a fluid dynamics simulation model, and the mesh processing unit completes mesh generation and quality checks. Next, the simulation calculation unit performs CFD simulations under multiple sets of inlet pressure, outlet back pressure, and valve opening conditions, generating multiple sets of flow field distribution data. Subsequently, the data extraction unit extracts data from multiple candidate installation areas from the flow field distribution data, and the location optimization unit calculates the stability, representativeness, and installation convenience scores for each candidate area, selecting the installation area with the highest comprehensive score. Finally, the parameter generation unit converts the optimal installation area into spatial location parameters and outputs them through the display module.

[0125] Through the above system structure, this embodiment can integrate simulation calculation, data analysis, location optimization, and spatial location parameter output into a complete process. This system not only reduces the uncertainty caused by manual experience in site selection, but also automatically identifies locations with stable pressure, high flow field representativeness, and ease of installation and maintenance based on multi-condition flow field data, thereby improving the accuracy, stability, and engineering applicability of fluid pressure metering sensor deployment.

[0126] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0127] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A spatial position generation system for deploying fluid pressure metering sensors, characterized in that, The system includes a spatial position parameter generation device; The spatial position parameter generation device includes a processing module; The processing module includes a simulation calculation unit and a position optimization unit; The simulation calculation unit is used to perform simulation calculations on the flow field before, inside and after the valve under various working conditions by changing the boundary condition parameters of the simulation model multiple times based on computational fluid dynamics methods, and obtain multiple sets of flow field distribution data. The position optimization unit is used to analyze the pressure fluctuation in the area before the valve, the pressure recovery in the area after the valve, and the flow field disturbance in the area after the valve based on the multiple sets of flow field distribution data, and to determine the spatial position parameters of the inlet pressure sensor and the outlet pressure sensor based on the analysis results. Specifically, the position optimization unit is used to determine the region in the upstream region where the pressure fluctuation standard deviation is lower than a first preset threshold as a candidate installation region for the inlet pressure sensor; and in the downstream region where the absolute value of the deviation between the local static pressure and the downstream stable region static pressure is less than a preset deviation range and the turbulence intensity is lower than a second preset threshold as a candidate installation region for the outlet pressure sensor; then, the inlet pressure sensor candidate installation region and the outlet pressure sensor candidate installation region are evaluated for measurement stability and measurement representativeness, and the final installation region is determined according to the evaluation results, generating corresponding spatial position parameters.

2. The spatial position generation system for deploying fluid pressure metering sensors according to claim 1, characterized in that, The simulation model includes a pipeline geometry model, a valve model, a pre-valve fluid domain, and a post-valve fluid domain; the valve model is arranged in the pipeline geometry model, and the pre-valve fluid domain and the post-valve fluid domain are located at the inlet and outlet ends of the valve model, respectively.

3. The spatial position generation system for deploying fluid pressure metering sensors according to claim 1, characterized in that, The boundary condition parameters include the inlet pressure before the valve, the back pressure after the valve outlet, and the valve opening.

4. The spatial position generation system for deploying fluid pressure metering sensors according to claim 1, characterized in that, The spatial position parameter generation device further includes a storage module, which is used to pre-store pipeline geometric parameters, valve structural parameters, and boundary condition parameters.

5. The spatial position generation system for deploying fluid pressure metering sensors according to claim 1, characterized in that, The spatial location parameter generation device further includes a display module, which is used to receive and visualize the finally generated spatial location parameters.

6. The spatial position generation system for deploying fluid pressure metering sensors according to claim 1, characterized in that, The spatial location parameters include one or more of the following: sensor type, corresponding pipe segment identifier, axial distance relative to the valve or flange reference plane, circumferential angle relative to the pipe cross section, three-dimensional coordinates of the installation point, and recommended installation direction.

7. The spatial position generation system for deploying fluid pressure metering sensors according to claim 1, characterized in that, The location optimization unit is also used to comprehensively evaluate the candidate installation areas of the inlet pressure sensor and the candidate installation areas of the outlet pressure sensor, respectively. The comprehensive evaluation indicators for the candidate installation areas of the inlet pressure sensor include pressure stability indicators and operating condition adaptability indicators, and the comprehensive evaluation indicators for the candidate installation areas of the outlet pressure sensor include pressure recovery indicators and flow field stability indicators. Based on the comprehensive evaluation results, the final installation areas of the inlet pressure sensor and the outlet pressure sensor are determined respectively.

8. A method for generating the spatial location of fluid pressure metering sensors, characterized in that, The method includes the following steps: S1: Obtain preset pipeline geometry parameters, valve structure parameters, and boundary condition parameters; S2: Based on the pipeline geometric parameters and valve structural parameters, construct a fluid dynamics simulation model that includes the fluid domain before the valve, the valve model, and the fluid domain after the valve; S3: Configure the boundary condition parameters for the fluid dynamics simulation model. The boundary condition parameters include the inlet pressure before the valve, the back pressure after the valve outlet, and the valve opening. Perform simulation calculations based on computational fluid dynamics to obtain multiple sets of flow field distribution data. S4: Analyze the multiple sets of flow field distribution data, calculate the pressure fluctuation index of the candidate region before the valve and the pressure recovery index and flow field disturbance index of the candidate region after the valve, and determine the candidate installation region of the inlet pressure sensor and the candidate installation region of the outlet pressure sensor based on the pressure fluctuation index, pressure recovery index and flow field disturbance index. S5: Evaluate the measurement stability and representativeness of the candidate installation areas for the inlet pressure sensor and the candidate installation areas for the outlet pressure sensor, and determine the final installation areas based on the evaluation results; S6: Generate and output spatial location parameters based on the final installation area to guide the determination of the installation positions of the inlet pressure sensor and the outlet pressure sensor.

9. The method for generating the spatial location of fluid pressure metering sensors according to claim 8, characterized in that, Step S4 includes: Calculate the standard deviation of pressure fluctuation in different candidate regions before the valve, and determine the region where the standard deviation of pressure fluctuation is lower than the first preset threshold as the candidate installation region of the inlet pressure sensor; The deviation between the local static pressure in different candidate areas downstream of the valve and the static pressure in the downstream stable area, as well as the turbulence intensity, are calculated. Areas where the absolute value of the deviation is less than a preset deviation range and the turbulence intensity is lower than a second preset threshold are identified as candidate installation areas for the outlet pressure sensor.

10. The method for generating the spatial location of a fluid pressure metering sensor according to claim 8, characterized in that, Step S5 includes: Based on one or more of the following indicators—pressure fluctuation standard deviation, deviation between local static pressure and downstream stable region static pressure, turbulence intensity, and ease of installation—the candidate installation areas for the inlet pressure sensor and the candidate installation areas for the outlet pressure sensor are comprehensively evaluated, and the areas that meet the preset conditions in the comprehensive evaluation results are selected as the final installation areas.

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