Water level sensor gland and diaphragm assembly method combined with simulation

Abstract

The present invention relates to the technical field related to simulation configuration, specifically including a method for assembling a gland and a diaphragm of a water level sensor in combination with simulation, the method comprising: acquiring parameters according to a working scenario, constructing a watershed simulation map; collecting data under standard conditions, fitting simulation components, establishing an assembly model, and obtaining an assembly matching scheme including the gland and diaphragm matching process. The technical problem that the assembly of the gland and diaphragm of a water level sensor depends on empirical rules under complex working conditions, directly affecting the sealing performance and pressure response sensitivity of the water level sensor, thereby affecting the performance of the sensor, is solved, and the effect of different working conditions on the assembly of the gland and the diaphragm is comprehensively analyzed by constructing a watershed simulation map and using a comprehensive analysis of fluid dynamics and structural mechanics, avoiding assembly errors caused by empirical rules, optimizing the matching parameters of the diaphragm and the gland through simulation, and ensuring that the impact of the assembly process on the performance of the water level sensor is controllable.

Description

Technical Field

[0001] The present invention relates to the technical field related to simulation configuration, and in particular to a method for assembling a gland and a diaphragm of a water level sensor combined with simulation. Background Art

[0002] As a key detection equipment, water level sensor is widely used in liquid level monitoring and control systems. Its accuracy, response speed and reliability play an important role in the stability of industrial production and equipment operation. It is known that in the production and application of water level sensors, the assembly process of the gland and the diaphragm directly affects the sealing performance and pressure response sensitivity of the sensor. However, the assembly process of the water level sensor is complicated and involves the precise coordination of multiple components. Conventional assembly methods often rely on process flows formulated by empirical rules. Although this method is suitable for some conventional application scenarios, it is difficult to meet the consistency and reliability of the assembly, which in turn affects the overall performance of the water level sensor.

[0003] In summary, in the prior art, there is a technical problem that under complex working conditions, the assembly of the water level sensor cover and diaphragm relies on empirical rules, which directly affects the sealing performance and pressure response sensitivity of the water level sensor, thereby affecting the performance of the sensor. Summary of the invention

[0004] The present application provides a method for assembling a water level sensor cover and a diaphragm in combination with simulation, aiming to solve the technical problem in the prior art that, under complex working conditions, the assembly of the water level sensor cover and the diaphragm relies on empirical rules, which directly affects the sealing performance and pressure response sensitivity of the water level sensor, thereby affecting the performance of the sensor.

[0005] In view of the above problems, the technical solution to implement this application is:

[0006] The present application provides a method for assembling a water level sensor gland and a diaphragm in combination with simulation, wherein the method comprises: obtaining a first basic parameter combination of the water level sensor gland and a second basic parameter combination of the diaphragm in a target working scenario, wherein the first basic parameter combination is associated and mapped with a water level sensor gland model, and the second basic parameter combination is associated and mapped with a diaphragm model;

[0007] According to the target working scenario, boundary conditions are set;

[0008] Under the limitation of the boundary conditions, constructing a watershed simulation map according to the first basic parameter combination and the second basic parameter combination;

[0009] Under standard environmental conditions, based on the watershed simulation atlas, a first assembly performance set associated with the water level sensor gland is collected, and a first simulation component is fitted, wherein the standard environmental conditions include a standard air pressure index, a standard temperature index, and a standard humidity index;

[0010] Under standard environmental conditions, based on the flow domain simulation map, collecting a second set of assembly performance associated with the membrane, and fitting a second simulation component;

[0011] Based on the first assembly performance set and the first simulation component, and the second assembly performance set and the second simulation component, an assembly simulation model is established to obtain an assembly matching scheme, which includes a first matching process corresponding to the water level sensor cover and a second matching process corresponding to the diaphragm.

[0012] In summary, one or more technical solutions provided in the present application solve the technical problem that under complex working conditions, the assembly of the water level sensor cover and diaphragm relies on empirical rules, which directly affects the sealing performance and pressure response sensitivity of the water level sensor, thereby affecting the sensor performance. This achieves the technical effect of constructing a watershed simulation map, utilizing a comprehensive analysis of fluid dynamics and structural mechanics, comprehensively analyzing the impact of different working conditions on the assembly of the cover and diaphragm, avoiding assembly errors caused by empirical rules, and optimizing the matching parameters of the diaphragm and cover through simulation, thereby ensuring that the impact of the assembly process on the performance of the water level sensor is controllable. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 A flow chart of a method for assembling a water level sensor gland and a diaphragm in combination with simulation is provided for this application;

[0014] Figure 2 A schematic flow chart of constructing a watershed simulation map in a method of assembling a water level sensor gland and a diaphragm in combination with simulation is provided for this application. DETAILED DESCRIPTION Example

[0015] The present application is described in detail below with reference to the accompanying drawings. Figure 1 As shown, the present application provides a method for assembling a water level sensor gland and a diaphragm in combination with simulation, wherein the method comprises:

[0016] S1: Obtain a first basic parameter combination of the water level sensor cover and a second basic parameter combination of the diaphragm under the target working scenario, wherein the first basic parameter combination is associated and mapped with the water level sensor cover model, and the second basic parameter combination is associated and mapped with the diaphragm model; S2: According to the target working scenario, set boundary conditions; S3: Under the limitation of the boundary conditions, construct a watershed simulation map according to the first basic parameter combination and the second basic parameter combination.

[0017] Specifically, the target working scenario refers to the specific environment where the water level sensor will be installed and used, including actual working conditions such as water temperature, water pressure, water quality, and installation location; for the water level sensor cover and diaphragm, the basic parameter combination refers to a set of parameters that can comprehensively describe key information such as the physical properties, dimensions, and material properties of the water level sensor cover and diaphragm; association mapping refers to the process of establishing a correspondence between a set of parameters or features and a specific model or category; in simulation, boundary conditions refer to restrictive conditions set to simulate the actual working environment, such as pressure range, fluid properties, etc.; a watershed simulation map is a graphical representation built based on simulation technology that is used to describe the flow state and pressure distribution of a fluid in a specific space.

[0018] Execution steps: According to the target working scenario, obtain the first basic parameter combination of the water level sensor cover and the second basic parameter combination of the diaphragm. These parameter combinations are closely related to the specific model of the water level sensor cover and diaphragm, such as the material, thickness, size of the cover and the elastic modulus, shape, thickness, etc. of the diaphragm; then, through association mapping, correspond these parameters to the specific model to ensure the accuracy of subsequent simulation.

[0019] According to the actual conditions of the target working scenario, the boundary conditions of the simulation are set. These conditions may include the pressure of the working environment, the properties of the fluid (such as density and viscosity), and the space limitations of the installation location. The setting of boundary conditions is the key to the simulation and determines the accuracy and reliability of the simulation results.

[0020] Under the limitation of boundary conditions, simulation software (such as ANSYS, COMSOL Multiphysics, etc.) and flow domain simulation technology are used to construct a flow domain simulation map based on the first basic parameter combination and the second basic parameter combination. This map can intuitively display the flow state, pressure distribution and possible stress concentration areas of the fluid between the gland and the diaphragm. Through simulation analysis, the working performance of the water level sensor under different parameter combinations can be predicted, providing data support for the subsequent assembly process optimization. At the same time, the assembly process of the water level sensor gland and diaphragm is optimized with specific target working scenarios and parameter combinations to ensure the stability and accuracy of the assembled water level sensor in actual work.

[0021] S4: Under standard environmental conditions, based on the watershed simulation map, a first assembly performance set associated with the water level sensor cover is collected, and a first simulation component is fitted, wherein the standard environmental conditions include standard air pressure index, standard temperature index, and standard humidity index; S5: Under standard environmental conditions, based on the watershed simulation map, a second assembly performance set associated with the diaphragm is collected, and a second simulation component is fitted; S6: Based on the first assembly performance set and the first simulation component, and the second assembly performance set and the second simulation component, an assembly simulation model is established to obtain an assembly matching scheme, wherein the assembly matching scheme includes a first matching process corresponding to the water level sensor cover, and a second matching process corresponding to the diaphragm.

[0022] Specifically, standard environmental conditions refer to the conditions set during the simulation process to simulate an ideal and repeatable environment, usually including standard air pressure indicators, standard temperature indicators, standard humidity indicators, etc.; the first assembly performance set refers to the performance data set associated with the water level sensor cover obtained through testing or simulation under specific conditions, such as sealing, durability, response speed, etc.; the second assembly performance set refers to the performance data set associated with the diaphragm obtained through testing or simulation under specific conditions, such as sealing, durability, response speed, etc.; simulation components are virtual components created through simulation technology based on the physical properties and behaviors of actual components, and are used for performance testing and optimization in a simulation environment; the assembly simulation model is a virtual model that integrates the water level sensor cover, diaphragm and other related components, which is used to simulate the actual assembly process and predict the overall performance after assembly.

[0023] Execution steps: Under standard environmental conditions, based on the previously constructed watershed simulation map, collect the first assembly performance set and the second assembly performance set associated with the water level sensor cover and diaphragm, respectively. These performance sets include the sealing and corrosion resistance of the cover, and the elasticity and response speed of the diaphragm and other key indicators; the method of collecting these data includes simulation or reference to historical data.

[0024] The collected performance data is processed using simulation software (such as MATLAB / Simulink, SolidWorks Simulation, etc.) to fit the first simulation components and the second simulation components. These simulation components are virtual representations of the gland and the diaphragm in the simulation environment, and have physical properties and behaviors similar to the actual components.

[0025] Based on these simulation components, an assembly simulation model is established. In this model, the actual assembly process of the gland and diaphragm can be simulated, including positioning, tightening, sealing and other steps. Through simulation analysis, the performance after assembly, such as sealing, response speed, durability, etc., can be predicted, and the assembly process can be optimized based on these prediction results.

[0026] According to the results of simulation analysis, the first matching process corresponding to the water level sensor cover and the second matching process corresponding to the diaphragm are formulated to form an assembly matching plan. This plan describes in detail the assembly steps, required tools, precautions, etc. of each component, providing clear guidance for the actual assembly process and ensuring the performance and quality of the water level sensor.

[0027] Furthermore, if Figure 2 As shown, under the limitation of the boundary conditions, according to the first basic parameter combination and the second basic parameter combination, a watershed simulation map is constructed, and the method of the present application includes:

[0028] Under the limitation of the boundary conditions, according to the first basic parameter combination and the second basic parameter combination, M watershed grid units are set; based on the M watershed grid units and according to the fluid dynamics effect, a first watershed branch stress component set is determined; based on the M watershed grid units and according to the structural mechanics effect, a second watershed branch stress component set is determined; based on the first watershed branch stress component set and the second watershed branch stress component set, the M watershed grid units are coupled to determine the watershed simulation map.

[0029] Specifically, in physical simulation or numerical simulation, boundary conditions are mathematical descriptions of the state or change law of physical quantities (such as pressure, velocity, etc.) on the boundary of a specified system, which have an important influence on the solution of the system; basic parameter combination refers to a set of basic physical parameters used to describe the characteristics of a watershed, such as velocity, flow, water depth, bed roughness, etc., which together determine the hydrodynamic characteristics of the watershed; in numerical simulation, in order to discretize a continuous watershed, it is divided into multiple small, interconnected units, each of which is called a watershed grid unit, which is the basic calculation unit of numerical simulation; fluid dynamics effect refers to the study of the interaction between the fluid and the surrounding environment during movement, as well as the interaction between the particles inside the fluid, including changes in physical quantities such as velocity, pressure, and flow; structural mechanics effect refers to the study of the stress, strain, displacement and other responses of the structure under external loads, as well as the stability and strength of the structure; the watershed simulation map is a map that describes the water flow state, stress distribution and other information in the watershed by dividing the watershed into multiple grid units through numerical simulation methods and considering fluid dynamics and structural mechanics effects.

[0030] Execution steps: Under the limitation of boundary conditions, according to the given first basic parameter combination (such as flow velocity, flow rate) and second basic parameter combination (such as water depth, bed roughness), set M watershed grid units. These grid units discretize the continuous watershed and provide a basis for subsequent calculations. Professional watershed simulation software (such as MIKE 21, HEC-RAS, etc.) or general numerical simulation software (such as ANSYS Fluent, COMSOL Multiphysics) can be used to complete this step.

[0031] Based on M basin grid units, according to the fluid dynamics effect, the set of stress components of the first basin branch is determined, including the calculation of physical quantities such as flow velocity, pressure, flow rate, etc. in each grid unit, and the analysis of the changes of various physical quantities with time and space. This step usually involves complex mathematical calculations and the application of physical models, which requires the help of the fluid dynamics module in the above-mentioned numerical simulation software.

[0032] At the same time, based on the structural mechanics effects, the set of stress components of the second basin branch is determined. This is mainly to analyze the stress, strain, displacement and other responses of the structures in the basin (such as riverbed, embankment, etc.) under external loads (such as water flow impact force, gravity, etc.). This step also requires the use of the structural mechanics module in the numerical simulation software for calculation and analysis.

[0033] The set of stress components of the first basin branch and the set of stress components of the second basin branch are coupled, and the interaction between fluid and structure is considered to determine the comprehensive stress state of each basin grid unit; these grid units are combined according to certain rules to form a complete basin simulation map. This map can intuitively display the water flow state, stress distribution and other information in the basin, restore the pressure distribution in the basin, and calculate the stress components related to the sensor installation position to evaluate the environmental adaptability of the water level sensor, providing support for ensuring that the assembled water level sensor can work accurately and stably under actual working conditions.

[0034] Further, based on the M watershed grid units and according to the fluid dynamics effect, a set of stress components of the first watershed branch is determined. The method of the present application includes:

[0035] Flow characteristic indicators in the M watershed grid cells are collected respectively, and the flow characteristic indicators include flow velocity and flow direction; based on the flow velocity and flow direction, flow characteristic vectors are added to the M watershed grid cells; based on the flow characteristic vectors, according to the fluid dynamics effect, the pressure distribution of the M watershed grid cells is restored to determine the first watershed branch stress component set.

[0036] Specifically, in watershed simulation, flow characteristic indices are important parameters used to describe the movement state of fluid in watershed grid cells, among which flow velocity and flow direction are the two most basic indices; flow velocity reflects the distance the fluid passes through a certain point per unit time, while flow direction indicates the specific trend of fluid movement; in order to represent these characteristics more intuitively, flow characteristic vectors can be added to watershed grid cells. The vector is displayed in the form of an arrow, whose length represents the magnitude of the flow velocity, and its direction represents the specific direction of the flow.

[0037] Execution steps: It should be noted that a river basin contains multiple bends and sections of varying widths. Therefore, the river is divided into M basin grid units, and the flow characteristic indicators in the M basin grid units are collected respectively, which mainly include the flow velocity and flow direction in each grid unit; this step usually relies on the fluid dynamics module in the numerical simulation software, such as ANSYS Fluent or MIKE 21, etc. These software can calculate the flow velocity and direction of each point in the basin based on the input boundary conditions and basic parameter combinations.

[0038] Based on the collected flow velocity and flow direction data, flow characteristic vectors are added one by one in the M basin grid cells. This step can be achieved through the visualization function of the numerical simulation software. The software will automatically generate a corresponding vector diagram in each grid cell based on the calculation results, thereby intuitively displaying the movement state of the fluid in the basin. For example, the flow rate of the river is slower at the bend, while the flow rate is faster in the straight section; at the same time, changes in the width of the river will also affect the distribution of the flow rate.

[0039] For water level sensors installed in high-pressure areas, it is considered during assembly that the water level sensors need to withstand greater pressure to ensure that they can work accurately and stably under actual working conditions. Based on this, based on these flow characteristic vectors, the fluid dynamics effect is used to restore the pressure distribution of M basin grid cells; the fluid will generate pressure when it moves, and the magnitude and distribution of the pressure are closely related to factors such as the fluid speed, direction, and geometric shape of the basin; through the fluid dynamics module in the numerical simulation software, the pressure value in each grid cell can be calculated, and the set of stress components of the first basin branch can be further determined. These stress components reflect the pressure effect of the fluid on each point in the basin, providing a basis for evaluating the environmental adaptability of structures such as water level sensors.

[0040] Furthermore, the present application method also includes:

[0041] Fluid dynamics pressure distribution reduction formula: , is the pressure generated by the fluid dynamics effect in the ith basin grid cell, is the fluid density, is the fluid velocity vector, is the area of ​​the ith watershed grid cell, is the differential area element; the stress component formula of the first flow basin branch is: , is the hydrodynamic stress component of the i-th flow basin branch, is the hydrodynamic coupling coefficient between the ith basin grid cell and the jth basin grid cell, is the pressure due to fluid dynamics effects in the jth watershed grid cell.

[0042] Specifically, in fluid dynamics, the pressure distribution reduction formula and the first basin branch stress component formula are mathematical tools to describe the fluid dynamics effects in the basin, quantifying the pressure generated by the fluid in the basin grid cells and how these pressures affect the stress distribution of the entire basin through the interaction (i.e. coupling) between the basin grid cells. The fluid dynamics pressure distribution reduction formula is: ,in, is the pressure generated by the fluid dynamics effect in the ith basin grid cell, is the density of the fluid (usually a known constant, such as water, which is about 1000 kg / m³), is the fluid velocity vector, is the area of ​​the ith watershed grid cell, It is a differential area element; the pressure in each grid cell is calculated based on the density, velocity and area of ​​the grid cell using the fluid dynamics pressure distribution reduction formula.

[0043] The stress component formula of the first basin branch is: ,in, is the hydrodynamic stress component of the i-th flow basin branch, is the hydrodynamic coupling coefficient between the ith watershed grid cell and the jth watershed grid cell (describing the strength of the hydrodynamic interaction between the two grid cells), is the pressure generated by the fluid dynamics effect in the jth basin grid unit. The stress distribution of the entire basin is calculated by considering the interaction between different grid units in the basin through the first basin branch stress component formula.

[0044] Further, based on the M watershed grid units and according to the structural mechanics effect, a set of stress components of the second watershed branch is determined. The method of the present application includes:

[0045] Structural characteristic indicators in the M watershed grid cells are collected respectively, wherein the structural characteristic indicators include structural strain and structural shape; structural characteristic vectors are added to the M watershed grid cells based on the structural strain and structural shape; based on the structural characteristic vectors and according to the structural mechanics effect, the pressure distribution of the M watershed grid cells is restored to determine a set of stress components of the second watershed branch.

[0046] Specifically, in structural mechanics analysis, structural characteristic indicators are used to describe the key parameters of the physical characteristics of structures in watershed grid units, mainly including structural strain (i.e. the degree of deformation of the structure under force) and structural shape (i.e. the geometric shape of the structure); structural characteristic vector is a tool that presents structural characteristic indicators in a graphical way, which represents the strain and shape of the structure through specific symbols or graphics, so as to facilitate visualization and analysis in watershed grid units; structural mechanics effect refers to the physical effects such as stress, strain and displacement generated by the structure when it is subjected to external force according to the principles of structural mechanics; the second basin branch stress component set is derived based on the structural mechanics effect analysis, and contains another set of detailed data sets of pressure exerted by the fluid on each branch structure in the basin, which complements the stress component set derived based on the flow characteristic indicators to jointly evaluate the safety and stability of the structure.

[0047] Implementation steps: In order to comprehensively evaluate the safety and stability of each branch structure in the basin, based on the flow characteristic indicators of the M basin grid units that have been obtained, the analysis of the structural mechanical effects was further carried out. The structural characteristic indicators in these grid units were collected separately, including structural strain and structural shape, which are usually obtained through field measurements, remote sensing monitoring or numerical simulation to ensure the accuracy and reliability of the data.

[0048] In professional structural analysis software (such as ANSYS Mechanical, ABAQUS, etc.), these structural characteristic indicators are added in the form of structural characteristic vectors; these vectors intuitively display the strain state and geometric shape of the structure in the watershed grid unit through specific symbols or graphics, providing a visual basis for subsequent analysis.

[0049] Based on the structural characteristic vector, the structural mechanics module in the structural analysis software was used to calculate the pressure distribution of M basin grid units in detail according to the principles and methods of structural mechanics. The material properties of the structure, boundary conditions, and the force of the fluid on the structure were comprehensively considered to ensure the accuracy and reliability of the calculation results. Through this analysis, the pressure data of each point in the basin was obtained, and the set of stress components of the second basin branch was further determined.

[0050] The second basin branch stress component set describes the stress components generated by each branch structure in the basin under the interaction between fluid and structure, including the magnitude, direction and distribution of stress. It complements the stress component set derived based on flow characteristic indicators, and together provides a comprehensive scientific basis and strong support for the assembly of water level sensors or other structures, ensuring the safe operation and stable operation of water level sensors.

[0051] Furthermore, the present application method also includes:

[0052] Structural mechanics pressure distribution reduction formula: , is the pressure generated by the structural mechanics effect in the i-th basin grid unit, E is the elastic modulus of the material, is the strain of the grid unit in the ith basin; the stress component formula of the second basin branch is: , is the structural mechanical stress component of the i-th basin branch, is the structural mechanics coupling coefficient between the ith watershed grid unit and the jth watershed grid unit, is the pressure generated by the structural mechanics effect in the jth watershed grid cell.

[0053] Specifically, the structural mechanics pressure distribution reduction formula is: ,in, is the pressure generated by the structural mechanics effect in the i-th basin grid unit, E is the elastic modulus of the material (indicating the material's ability to resist deformation), is the strain of the grid unit in the ith basin (i.e., the relative deformation of the material under force); the stress component formula of the second basin branch is: ,in, is the stress component generated by the structural mechanical effect of the i-th basin branch, is the structural mechanics coupling coefficient between the ith watershed grid unit and the jth watershed grid unit (reflecting the strength of the mechanical interaction between the two grid units), is the pressure generated by the structural mechanics effect in the jth watershed grid cell.

[0054] Execution steps: In the watershed simulation and structural mechanics effect analysis, in order to accurately evaluate the safety and stability of each branch structure, it is necessary to first use the structural mechanics pressure distribution reduction formula to calculate the pressure distribution in each watershed grid unit, which usually involves collecting the elastic modulus E of the material and the strain of each grid unit. , and then substitute into the formula This process can be achieved through professional structural analysis software (such as ANSYS Mechanical, ABAQUS) or self-written programs to ensure the accuracy and efficiency of the calculation.

[0055] The stress component formula of the second basin branch is used to calculate the stress component of each basin branch. This step requires first determining the structural mechanics coupling coefficient between each basin grid unit. , which is usually determined based on the geometric positions, material properties and interaction relationships between the M watershed grid cells; the pressure generated by the structural mechanics effect in each grid cell The corresponding coupling coefficient By multiplying them, we can get the detailed stress distribution of each branch structure in the basin due to the structural mechanics effect, which provides a comprehensive scientific basis and strong support for the assembly of water level sensors or other structures in the basin, ensuring the safety and stability of the water level sensors.

[0056] Further, under standard environmental conditions, based on the watershed simulation map, a first assembly performance set associated with the water level sensor gland is collected, and a first simulation component is fitted. The method of the present application includes:

[0057] Acquire multiple operating conditions of the water level sensor; evaluate the degree of fit between the water level sensor cover and other components under standard environmental conditions in comparison with the multiple operating conditions; based on the watershed simulation map, use the degree of fit between the water level sensor cover and other components as a correction factor, perform disturbance correction on the first watershed branch stress component, and collect a first assembly performance set associated with the water level sensor cover.

[0058] Specifically, the water level sensor cover is a key component of the water level sensor, which is usually used to seal the sensor to prevent moisture or other external substances from entering, while ensuring that the sensor can accurately measure the water level; the first simulation component refers to a virtual component created through computer simulation technology to simulate the working state of the water level sensor cover.

[0059] Execution steps: Obtain multiple operating conditions of the water level sensor, which may include different water level heights, temperature changes, water quality conditions, etc., which will affect the performance of the water level sensor and its gland; under standard environmental conditions, compare these operating conditions and evaluate the fit between the water level sensor gland and other components. The fit refers to the tightness and coordination between the gland and other parts of the sensor (such as the housing, sealing ring, etc.). Evaluation methods include visual inspection, dimensional measurement, pressure testing, etc. For example, use a micrometer to measure the gap between the gland and the housing, or check the sealing performance through a pressure test.

[0060] Based on the basin simulation map, the evaluated fit between the water level sensor cover and other components is used as a correction factor to perform disturbance correction on the stress component of the first basin branch. The basin simulation map provides stress distribution information at each point in the basin, and changes in fit may affect these stress distributions. By introducing fit as a correction factor, the stress conditions of the water level sensor in actual operation can be more accurately simulated and predicted. This step is usually performed using professional fluid dynamics simulation software (such as CFD software). Then, a first assembly performance set associated with the water level sensor cover is collected, including a series of performance indicators such as the fit between the water level sensor cover and other components, sealing performance, and durability in a simulated environment after disturbance correction. These indicators can be directly obtained through simulation tests.

[0061] Furthermore, the present application method also includes:

[0062] Identify key performance parameters, including pressure response sensitivity and sealing stability; based on the key performance parameters, introduce application performance requirements that meet industry standards and specifications, and set target expected values; based on the assembly simulation model, use the target expected values ​​to perform performance verification and optimization, and update the assembly matching plan.

[0063] Specifically, pressure response sensitivity refers to the rapidity and accuracy of the change in the output signal of the water level sensor when the pressure changes. It is an important indicator to measure the sensor's ability to perceive pressure changes; sealing stability is used to describe the durability and reliability of the sealing connection between the water level sensor cover and other components, ensuring that a good sealing effect can be maintained in harsh environments (such as high pressure, high temperature, corrosive media, etc.); application performance requirements refer to the performance requirements and indicators for water level sensors and their components based on specific application scenarios and industry standards, such as response time, accuracy, stability, etc.; target expected value refers to the specific value or range set based on application performance requirements, which serves as a benchmark for performance verification and optimization; the assembly simulation model is used to simulate the assembly process and working state of the water level sensor and its components for performance prediction and optimization.

[0064] Execution steps: Identify key performance parameters, specifically pressure response sensitivity and sealing stability, which are directly related to the working efficiency and reliability of the water level sensor; the identification process is usually carried out through industry standard analysis and other methods to ensure that the selected parameters meet industry requirements and can fully reflect the key performance of the sensor; based on the key performance parameters, introduce application performance requirements that meet industry standards and specifications, and set target expectations. This step requires an in-depth understanding of the application scenarios of the water level sensor, such as hydropower stations, reservoirs, river monitoring, etc., as well as the specific requirements of relevant industry standards (such as IEC, ANSI, etc.) for sensor performance. For example, for water level monitoring in hydropower stations, the water level sensor is required to have extremely high pressure response sensitivity and long-term sealing stability. The target expected value is a specific value set based on these requirements and expectations, such as the pressure response sensitivity must be within 10ms.

[0065] Use professional simulation software (such as SolidWorks Simulation, ANSYS, etc.) to build a detailed three-dimensional model of the water level sensor and its components, and set the corresponding material properties, boundary conditions and load conditions; in the simulation environment, simulate the pressure response and sealing stability of the model. By applying different pressure changes and simulating harsh environmental conditions, observe the response speed and sealing effect of the sensor; based on the simulation results, evaluate whether the performance of the sensor meets the target expectations; if it does not meet expectations, it is necessary to analyze the reasons, such as design defects, improper material selection, etc.; based on the analysis results, optimize the material selection, assembly process, etc., for example, optimize the matching method between the water level sensor gland and the shell to improve the sealing stability; simulate and verify the optimized scheme again, and use the assembly simulation model to perform multiple rounds of optimization until the target expectations are met; then, update the assembly matching scheme, and update the assembly matching scheme of the water level sensor and its components according to the results of the simulation optimization, including part size, material selection, assembly sequence, etc., to ensure that in actual production, the sensor can be assembled according to the optimal scheme, so as to achieve the expected performance indicators.

[0066] In summary, the beneficial effects of the embodiments of the present application are:

[0067] 1. Through simulation technology, various situations in the assembly process are accurately simulated, including the mechanical properties of materials, the interaction between components, etc., to assist in optimizing the water level sensor assembly process and improve assembly accuracy.

[0068] 2. The simulation-based assembly method can develop standardized processes and specifications to ensure that the performance of water level sensors assembled in different batches remains consistent.

[0069] 3. Due to the use of multiple operating conditions of the water level sensor; under standard environmental conditions, the degree of fit between the water level sensor gland and other components is evaluated by comparing multiple operating conditions; based on the basin simulation map, the degree of fit between the water level sensor gland and other components is used as a correction factor to perform disturbance correction on the first basin branch stress component, and collect the first assembly performance set associated with the water level sensor gland. By introducing the degree of fit as a correction factor, the stress conditions of the water level sensor in actual operation can be more accurately simulated and predicted.

[0070] In summary, any step can be stored as a computer instruction or program in an unlimited computer memory, and can be called and recognized by an unlimited computer processor, and no unnecessary restrictions are made here.

[0071] Furthermore, the above-mentioned technical scheme only reflects the preferred technical scheme of the technical scheme of the embodiment of the present application. Some changes that may be made to some parts thereof by technicians in this technical field all reflect the novel principles of the embodiment of the present application. Obviously, technicians in this field can make various changes and modifications to the present application without departing from the scope of the present application.

Claims

1. A method for assembling a water level sensor gland and a diaphragm in combination with simulation, characterized in that: The method comprises: Obtain a first basic parameter combination of a water level sensor gland and a second basic parameter combination of a diaphragm in a target working scenario, wherein the first basic parameter combination is associated and mapped with a water level sensor gland model, and the second basic parameter combination is associated and mapped with a diaphragm model; According to the target working scenario, boundary conditions are set; Under the limitation of the boundary conditions, constructing a watershed simulation map according to the first basic parameter combination and the second basic parameter combination; Under standard environmental conditions, based on the watershed simulation atlas, a first assembly performance set associated with the water level sensor gland is collected, and a first simulation component is fitted, wherein the standard environmental conditions include a standard air pressure index, a standard temperature index, and a standard humidity index; Under standard environmental conditions, based on the flow domain simulation map, collecting a second set of assembly performance associated with the membrane, and fitting a second simulation component; Based on the first assembly performance set and the first simulation component, and the second assembly performance set and the second simulation component, an assembly simulation model is established to obtain an assembly matching scheme, which includes a first matching process corresponding to the water level sensor cover and a second matching process corresponding to the diaphragm.

2. The method for assembling a water level sensor gland and a diaphragm in combination with simulation as claimed in claim 1, characterized in that: Under the limitation of the boundary conditions, a watershed simulation map is constructed according to the first basic parameter combination and the second basic parameter combination. The method includes: Under the limitation of the boundary conditions, according to the first basic parameter combination and the second basic parameter combination, M watershed grid units are set; Based on the M watershed grid cells and according to the fluid dynamics effect, determining a set of stress components of a first watershed branch; Based on the M watershed grid cells and according to the structural mechanics effect, a set of stress components of the second watershed branch is determined; Based on the first basin branch stress component set and the second basin branch stress component set, the M basin grid units are coupled to determine the basin simulation map.

3. The method for assembling a water level sensor gland and a diaphragm in combination with simulation as claimed in claim 2, characterized in that: Based on the M watershed grid cells and according to the fluid dynamics effect, a set of stress components of a first watershed branch is determined, the method comprising: Collecting flow characteristic indicators in the M watershed grid cells respectively, wherein the flow characteristic indicators include flow velocity and flow direction; Based on the flow velocity and the flow direction, adding flow characteristic vectors to the M watershed grid cells; Based on the flow characteristic vector and according to the fluid dynamics effect, the pressure distribution of the M watershed grid cells is restored to determine a set of stress components of the first watershed branch.

4. The method for assembling a water level sensor gland and a diaphragm in combination with simulation as claimed in claim 3, characterized in that: Fluid dynamics pressure distribution reduction formula: , is the pressure generated by the fluid dynamics effect in the ith basin grid cell, is the fluid density, is the fluid velocity vector, is the area of ​​the ith watershed grid cell, is the differential area element; The stress component formula of the first basin branch is: , is the hydrodynamic stress component of the i-th flow basin branch, is the hydrodynamic coupling coefficient between the ith basin grid cell and the jth basin grid cell, is the pressure due to fluid dynamics effects in the jth watershed grid cell.

5. The method for assembling a water level sensor gland and a diaphragm in combination with simulation as claimed in claim 4, characterized in that: Based on the M watershed grid units and according to the structural mechanics effect, a set of stress components of the second watershed branch is determined, the method comprising: Collecting structural characteristic indicators in the M watershed grid cells respectively, wherein the structural characteristic indicators include structural strain and structural shape; Based on the structural strain and the structural shape, adding structural characteristic vectors to the M watershed grid cells; Based on the structural characteristic vector and according to the structural mechanics effect, the pressure distribution of the M watershed grid cells is restored to determine the set of stress components of the second watershed branch.

6. The method for assembling a water level sensor gland and a diaphragm in combination with simulation as claimed in claim 5, characterized in that: Structural mechanics pressure distribution reduction formula: , is the pressure generated by the structural mechanics effect in the i-th basin grid unit, E is the elastic modulus of the material, is the strain of the ith watershed grid cell; The stress component formula of the second basin branch is: , is the structural mechanical stress component of the i-th basin branch, is the structural mechanics coupling coefficient between the ith watershed grid unit and the jth watershed grid unit, is the pressure generated by the structural mechanics effect in the jth watershed grid cell.

7. The method for assembling a water level sensor gland and a diaphragm in combination with simulation as claimed in claim 6, characterized in that: Under standard environmental conditions, based on the watershed simulation map, collecting a first assembly performance set associated with the water level sensor gland, and fitting a first simulation component, the method comprising: Obtain multiple operating conditions of the water level sensor; Under standard environmental conditions, comparing the multiple operating conditions, evaluating the degree of fit between the water level sensor gland and other components; Based on the watershed simulation map, the degree of fit between the water level sensor gland and other components is used as a correction factor to perform disturbance correction on the first watershed branch stress component, and a first assembly performance set associated with the water level sensor gland is collected.

8. The method for assembling a water level sensor gland and a diaphragm in combination with simulation as claimed in claim 7, characterized in that: Identifying key performance parameters, including pressure response sensitivity and sealing stability; Based on the key performance parameters, introduce application performance requirements that meet industry standards and set target expectations; Based on the assembly simulation model, the target expected value is used to perform performance verification and optimization, and the assembly coordination scheme is updated.

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