Selection method and device of salt mist filter based on analogue simulation

Abstract

The invention provides a salt mist filter selection method and device based on analogue simulation, and the method comprises the steps: obtaining boundary conditions of a plurality of salt mist environment parameters, and obtaining a plurality of salt mist environment parameter combinations based on the boundary conditions of the plurality of salt mist environment parameters; on the basis of the constructed salt mist environment simulation system, salt mist particle sizes corresponding to the multiple salt mist environment parameter combinations are obtained; for the salt mist particle size corresponding to each group of salt mist environment parameter combination, obtaining the particle size distribution of the salt mist entering the inlet of the salt mist filter corresponding to the salt mist particle size; based on the particle size distribution corresponding to each group of salt mist environment parameter combinations, inputting the plurality of filtering module design schemes into the salt mist filtering simulation model one by one to obtain analogue simulation results of the plurality of filtering module design schemes under the group of salt mist environment parameter combinations; based on an analogue simulation result, obtaining an optimal filtering module design scheme corresponding to each group of salt mist environment parameter combination; therefore, a proper salt mist filter can be selected.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of air purification filter equipment design, and particularly relates to a selection method and device for a salt mist filter based on simulation. BACKGROUND

[0002] Salt mist is a main corrosive medium threatening electrical equipment in a marine service environment, and therefore, a salt mist filter becomes one of protective measures. Since there is a great difference between salt mist particles and dust particles, the particle size is not fixed and may change with environmental parameters such as temperature and humidity, which brings great difficulty to the design and development of a filter equipment.

[0003] At present, since there is a lack of selection specifications and criteria for a salt mist filter, the selection of the salt mist filter usually depends on experience and a small amount of experiments, and there are many deficiencies. SUMMARY

[0004] The present application provides a selection method and device for a salt mist filter based on simulation, to at least partially solve one of the technical problems in the related art. The technical solution of the present disclosure is as follows: In a first aspect, the present application provides a selection method for a salt mist filter based on simulation, comprising: obtaining boundary conditions of a plurality of salt mist environmental parameters, and obtaining a plurality of groups of salt mist environmental parameter combinations based on the boundary conditions of the plurality of salt mist environmental parameters; obtaining salt mist particle sizes corresponding to the plurality of groups of salt mist environmental parameter combinations based on a constructed salt mist environmental simulation system; the salt mist environmental simulation system is used to simulate the influence of the plurality of salt mist environmental parameters on the salt mist particle sizes; for the salt mist particle sizes corresponding to each group of salt mist environmental parameter combinations, obtaining a particle size distribution entering a salt mist filter inlet corresponding to the salt mist particle size; inputting a plurality of filter module design schemes one by one into the salt mist filtration simulation model to obtain simulation and simulation results of the plurality of filter module design schemes under the group of salt mist environmental parameter combinations; the simulation and simulation results include salt mist filter performance parameters; based on the simulation and simulation results, obtaining an optimal filter module design scheme corresponding to each group of salt mist environmental parameter combinations; so as to obtain a design scheme of a salt mist filter selected for a target salt mist environment based on the optimal filter module design scheme corresponding to each group of salt mist environmental parameter combinations. In a second aspect, the present application provides a selection device for a salt mist filter based on simulation, comprising: a parameter obtaining module, configured to obtain boundary conditions of a plurality of salt mist environmental parameters, and obtain a plurality of groups of salt mist environmental parameter combinations based on the boundary conditions of the plurality of salt mist environmental parameters; An environment simulation module is configured to obtain a salt mist particle size corresponding to each group of salt mist environment parameter combinations based on a constructed salt mist environment simulation system, and the salt mist environment simulation system is configured to simulate an influence of the multiple salt mist environment parameters on the salt mist particle size. A model determination module is configured to obtain a particle size distribution entering an inlet of a salt mist filter corresponding to a salt mist particle size corresponding to each group of salt mist environment parameter combinations. A simulation calculation module is configured to input multiple filter module design schemes one by one into the salt mist filtration simulation model to obtain simulation simulation results of the multiple filter module design schemes under the group of salt mist environment parameter combinations, and the simulation simulation results include salt mist filter performance parameters. A result output module is configured to obtain a preferred filter module design scheme corresponding to each group of salt mist environment parameter combinations based on the simulation simulation results, so as to obtain a design scheme of a salt mist filter selected for a target salt mist environment based on the preferred filter module design scheme corresponding to each group of salt mist environment parameter combinations.

[0005] In a third aspect, an electronic device is provided, including a processor and a memory connected with the processor in communication; the memory stores computer execution instructions; and the processor executes the computer execution instructions stored in the memory to implement the method in the first aspect.

[0006] In a fourth aspect, a computer readable storage medium is provided, and the computer readable storage medium stores computer execution instructions; and the computer execution instructions are executed by a processor to implement the method in the first aspect.

[0007] In a fifth aspect, a computer program product is provided, including a computer program; and the computer program is executed by a processor to implement the method in the first aspect.

[0008] The method and device for selecting a salt mist filter based on simulation simulation provided in the application can simulate influences of different salt mist environment parameters on a salt mist particle size by constructing a salt mist environment simulation system, and obtain filter performance parameters of multiple filter module design schemes under different environment parameters through simulation simulation, so as to select a suitable design scheme of a salt mist filter for a target salt mist environment, and thus obtain a suitable salt mist filter.

[0009] Additional aspects and advantages of the application will be in part apparent and in part pointed out hereinafter. BRIEF DESCRIPTION OF DRAWINGS

[0010] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 A schematic flowchart illustrating a method for selecting a salt spray filter based on simulation, provided in an embodiment of this application; Figure 2 A schematic flowchart illustrating a method for selecting a salt spray filter based on simulation, provided for another embodiment of this application; Figure 3 A block diagram of a simulation-based salt spray filter selection device provided in an embodiment of this application; Figure 4 This is a block diagram of an electronic device provided in an embodiment of this application. Detailed Implementation

[0011] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0012] The following description, with reference to the accompanying drawings, describes a method, apparatus, and device for selecting a salt spray filter based on simulation, according to embodiments of this application.

[0013] Figure 1 This is a schematic flowchart illustrating a method for selecting a salt spray filter based on simulation, as provided in an embodiment of this application.

[0014] It should be noted that the execution subject of the simulation-based salt spray filter selection method in this application embodiment is the simulation-based salt spray filter selection device in this application embodiment. The simulation-based salt spray filter selection device can be configured in an electronic device so that the electronic device can perform the simulation-based salt spray filter selection function.

[0015] like Figure 1 As shown, the method for selecting a salt spray filter based on simulation includes the following steps: Step S101: Obtain the boundary conditions of multiple salt spray environment parameters, and obtain multiple sets of salt spray environment parameter combinations based on the boundary conditions of multiple salt spray environment parameters.

[0016] In some embodiments, boundary conditions for multiple salt spray environmental parameters are obtained based on environmental parameter analysis.

[0017] In some embodiments, multiple salt spray environmental parameters include temperature, humidity, salt spray particle mass concentration, wind speed, and wind direction.

[0018] In one example, the boundary conditions of the plurality of salt spray environment parameters include: temperature control at -5-50℃, humidity control at 30%-90%, salt spray particle mass concentration control at 0.01-5 , wind direction 0~360°, wind speed 0~25m / s.

[0019] For the salt spray filter, the wind direction is usually 90°, and the air volume range of the salt spray filter is 50-3400 , the air volume is the product of the effective filtering area of the salt spray filter and the wind speed.

[0020] Step S102, based on the constructed salt spray environment simulation system, a plurality of salt spray environment parameter combinations corresponding to the salt spray particle size are obtained; the salt spray environment simulation system is used to simulate the influence of a plurality of salt spray environment parameters on the salt spray particle size.

[0021] In some embodiments, the salt spray environment simulation system controls the salt spray particle size based on a plurality of salt spray environment parameters by the following formula: (1) Wherein, the salt spray particle mass concentration at height z, the salt spray particle number concentration at ground height, the air viscosity, unit Pa·s; r is the salt spray particle size after humidity influence, T is the temperature, unit ℃; the wind speed, the angle between the wind speed and the filter module, i.e. the wind direction; Boltzmann constant, air dynamic viscosity, the density of salt, air density.

[0022] In some embodiments, the method for obtaining the above formula (1) is as follows: The relationship between the salt spray particle size and humidity is represented by the following formula: (2) Wherein, the particle size of dry salt, unit cm; r is the salt spray particle size after humidity influence; RH is the humidity, RH reaches the critical deliquescence humidity RH salt only then the deliquescence change begins, therefore, RH salt ≤RH<100%; RH salt , r is a constant value, which is independent of temperature, humidity and other parameters.

[0023] The relationship between temperature and deliquescence critical humidity is represented by the following formula: (3) in, The value is the critical humidity for deliquescence, and T is the temperature in °C. Since this application focuses on sodium chloride, relevant data for sodium chloride are used for fitting here.

[0024] The relationship between salt spray deposition velocity and wind speed and direction is expressed by the following formula: (4) in, This refers to the settling velocity (also known as the floating velocity) of salt spray particles in the vertical direction. Air viscosity, in Pa·s; For wind speed, The angle between wind speed and wind direction; The density of salt, This refers to air density.

[0025] (5) The relationship between salt spray migration speed and wind speed and direction is as follows: (6) in, This represents the horizontal migration velocity of salt spray particles.

[0026] The distribution of salt spray particle concentration is determined by the balance between turbulent diffusion and gravitational settling, which are in opposite directions and work together to maintain the balance of particulate matter. That is, the vertical diffusion flux of particles (the number of particles passing through a unit area per unit time) is determined by diffusion and gravitational settling.

[0027] Turbulent diffusion obeys Fick's law: (7) Where D is the diffusion coefficient, Let z be the particle concentration at height z, and the symbol indicates diffusion from high concentration to low concentration.

[0028] Gravity settling: (8) At dynamic equilibrium, the total flux is 0, i.e. ,Right now: (9) Separating and integrating the above equation, we get the following: (10) We can obtain: (11) Where n0 is the salt spray concentration at ground level, v is the settling velocity, and z is the height.

[0029] The salt fog deposition velocity at the equilibrium state is brought into the above formula, and the following can be obtained: (12) The salt fog particle size is mainly distributed in 1-10 um, and the diffusion distribution obeys the Stokes-Einstein equation, (13) where D is the diffusion coefficient, the Boltzmann constant, T is the atmospheric temperature, K; the air dynamic viscosity, and r is the salt fog particle size.

[0030] The expression of D is brought into the expression of The relationship between the particle concentration at height z and height, salt fog particle size, temperature, wind speed and wind direction can be obtained as follows: (14) n(z) is the particle number concentration, which is converted into mass concentration as follows: (15) According to the conversion relationship (15), formula (14) can be converted into formula (1).

[0031] That is, according to the correlation between multiple salt fog environment parameters and salt fog particle size, a salt fog environment simulation system is constructed to simulate the influence of multiple salt fog environment parameters on the size of salt fog particles through the system.

[0032] It should be noted that generally, the industrial environment airflow speed is 0.5-5 m / s, the wind speed is usually horizontal or at other angles, the atmospheric salt fog concentration is 0.1-1000 ; the salt fog particle size distribution is 1-10 um; the dry salt particle density is 2165 , the density of NaCl is the salt fog density; the environmental parameters are temperature 45℃, humidity 60%-80%, the temperature required by the known temperature calculation is the humidity when the humidity is reached, and the parameters are set to meet the basic application conditions.

[0033] In step S103, for the salt fog particle size corresponding to each group of salt fog environment parameter combinations, the particle size distribution entering the inlet of the salt fog filter corresponding to the salt fog particle size is obtained.

[0034] The input of the salt fog filtration simulation model in the subsequent steps includes the particle size distribution entering the inlet of the salt fog filter, and thus the particle size distribution entering the inlet of the salt fog filter needs to be obtained in this step.

[0035] In this embodiment, a CFD simulation tool is selected to build a salt fog environment simulation system for fluid dynamics simulation.

[0036] Step S104, based on the particle size distribution corresponding to each group of salt spray environment parameter combination, input the multiple filter module design schemes into the salt spray filtering simulation model one by one, and obtain the simulation simulation results of the multiple filter module design schemes under the group of salt spray environment parameter combination; the object simulated by the salt spray filtering simulation model is the filtering module of the salt spray filter; the simulation simulation result includes the performance parameter of the salt spray filter.

[0037] In some embodiments, the multiple filter module design schemes are obtained based on multiple module design parameters in the filter module parameter library, and the multiple module design parameters include the number of layers of the filter screen included in the filter module, the pore size and material of each layer of filter screen, the spacing and arrangement mode between adjacent filter screens, etc., wherein the arrangement mode is, for example, coarse-medium-fine, or coarse-coarse-medium-medium-fine, coarse-fine, etc. different pore size arrangement. For example, filter module design schemes with different pore sizes, different materials and different numbers of layers are obtained, and these design schemes can also be stored in the filter module parameter library.

[0038] In one example, the selectable parameter values of the pore size of each layer of filter screen include 50 mesh, 100 mesh, 150 mesh and 200 mesh, corresponding to 0.308um, 0.154um, 0.099um and 0.077um respectively. The selectable range of the material includes 316L stainless steel (high corrosion resistance), plastic (such as polypropylene), ceramic, etc.; the number of layers of the filter screen can be selected as 2 layers (50 mesh-200 mesh), 4 layers (50 mesh-100 mesh-150 mesh-200 mesh) and 8 layers (2*50 mesh-2*100 mesh-2*150 mesh-2*200 mesh).

[0039] In this embodiment, according to common filtering requirements and actual application scenarios, various values of the multiple module design parameters are stored in the filter module parameter library, and based on the filter module parameter library, multiple filter module design schemes including different module design parameters can be obtained.

[0040] In one example, when the temperature is 25℃, the humidity is 70%, the salt spray particle mass concentration is 0.5 , the wind speed is 2.5m / s (air volume 3158 , the filtering area is 85m 2 ), the 4-layer filter module design scheme is simulated, and the filtering efficiency is 65% and the filtering resistance is 140.3Pa; after similar simulation of other filter module design schemes, it is found that the filtering efficiency of the 2-layer filter module under this environment is 40% and the filtering resistance is 93Pa, and the filtering efficiency of the 8-layer filter module under this salt spray environment parameter is 75% and the filtering resistance is 219.8Pa.

[0041] In some embodiments, the salt mist filter performance parameters include salt mist filtration efficiency and salt mist filtration resistance, and can also include salt mist particle removal rate, dust holding capacity of the filter, corrosion resistance, etc. The salt mist particle removal rate can be determined by calculating the ratio of the concentration difference of salt mist particles before and after filtration to the initial concentration. The corrosion resistance can be evaluated by simulating the degree of erosion of the filter module material by salt mist.

[0042] In step S105, based on the simulation results, an optimal filter module design scheme corresponding to each group of salt mist environment parameter combinations is obtained, so that a design scheme of a salt mist filter selected for the target salt mist environment is obtained based on the optimal filter module design scheme corresponding to each group of salt mist environment parameter combinations.

[0043] In this embodiment, according to the simulation results, the best design scheme with high filtration efficiency and small filtration resistance under different salt mist environment parameters can be screened out.

[0044] In one example, when the wind speed increases, the residence time of salt mist particles in the filter module is shortened, which can reduce the filtration efficiency. However, at this time, the particle size of the salt mist particles can be increased by adjusting the temperature and humidity, so as to compensate for the loss of filtration efficiency caused by the increase of wind volume to a certain extent. Through repeated simulation, the best matching range of multiple salt mist environment parameters can be determined, forming a method that can coordinate multiple salt mist environment parameters to maximize the filtration effect.

[0045] In some embodiments, as shown in Figure 2 After obtaining the optimal filter module design scheme corresponding to each group of salt mist environment parameter combinations, the following steps are further included: In step S1051, a plurality of user demand parameters are obtained, and the plurality of user demand parameters include one or more of salt mist filter economic characteristic parameters and salt mist filter performance parameters.

[0046] In some embodiments, the salt mist filter economic characteristic parameters include service life and manufacturing cost, and the one or more of the salt mist filter performance parameters include salt mist filtration efficiency and salt mist filtration resistance.

[0047] In some embodiments, according to the user salt mist filtration demand analysis, the data such as the salt mist filtration efficiency, the salt mist filtration resistance, the manufacturing cost and the service life that the user needs to achieve are confirmed.

[0048] In step S1052, based on the salt mist filter economic characteristic parameters, at least one preliminary selected filter module design scheme is obtained from the plurality of filter module design schemes.

[0049] In this step, a design scheme that meets the user's requirements in service life and manufacturing cost is obtained from the plurality of filter module design schemes as a preliminary selected filter module design scheme.

[0050] Step S1053, obtaining the weight of each user demand parameter in the plurality of user demand parameters.

[0051] In one embodiment, the weight of each user demand parameter in the plurality of user demand parameters is obtained by using the analytic hierarchy process.

[0052] In one embodiment, the weight of each user demand parameter in the plurality of user demand parameters is obtained according to user requirements.

[0053] In one embodiment, the weight of each user demand parameter in the plurality of user demand parameters is obtained according to statistical analysis results.

[0054] Step S1054, obtaining the score of each user demand parameter of each preliminary filter module design scheme in the at least one preliminary filter module design scheme based on a preset parameter scoring rule.

[0055] In some embodiments, a method for obtaining the score of each user demand parameter of each preliminary filter module design scheme in the at least one preliminary filter module design scheme based on a preset parameter scoring rule; comprising: obtaining a plurality of different scores according to the number of the at least one preliminary filter module design scheme; sorting the at least one preliminary filter module design scheme based on each user demand parameter, and assigning scores to each user demand parameter corresponding to each preliminary filter module design scheme according to the sorting and the plurality of different scores, to obtain the score of each user demand parameter of each preliminary filter module design scheme in the at least one preliminary filter module design scheme.

[0056] Step S1055, obtaining the comprehensive score of each preliminary filter module design scheme in the at least one preliminary filter module design scheme based on the weight of each user demand parameter in the plurality of user demand parameters and the score of each user demand parameter of each preliminary filter module design scheme in the at least one preliminary filter module design scheme.

[0057] In this step, for the preliminary filter module design scheme, the scores and weights of the plurality of user demand parameters are weighted and summed to obtain the comprehensive score of each preliminary filter module design scheme.

[0058] In one example, the weight ratio of salt mist filtration efficiency, salt mist filtration resistance, service life and manufacturing cost is 40%, 20%, 20% and 20%, the number of preliminary filter module design schemes is 3, and the 3 design schemes only differ in the number of layers, which are 2 layers, 4 layers and 8 layers respectively; the plurality of different scores include: the best score 1, the second score 0.5 and the last score 0; the scores of the plurality of user demand parameters and the comprehensive scores of the 3 preliminary filter module design schemes are shown in Table 1.

[0059] Table 1:

[0060] In step S1056, the target filter module design scheme is obtained from the at least one preliminary filter module design scheme based on the comprehensive score.

[0061] In this embodiment, the comprehensive scores of the plurality of preliminary filter module design schemes are compared, and the design scheme with the highest comprehensive score is taken as the best scheme, i.e., the target filter module design scheme.

[0062] In some embodiments, after the target filter module design scheme is obtained, the method further includes: obtaining a target salt mist environment parameter combination corresponding to the target filter module design scheme based on the preferred filter module design scheme corresponding to each group of salt mist environment parameter combinations, so that the user adjusts the environmental parameters of the application scene of the salt mist filter corresponding to the target filter module design scheme according to the target salt mist environment parameter combination.

[0063] It can be understood that, due to factors such as manufacturing cost and service life, the target filter module design scheme selected according to the above scheme may not be the optimal design scheme under the salt mist environment parameters, and thus the field environmental parameters of the salt mist filter corresponding to the filter module design scheme can be adjusted to improve the filtering performance of the salt mist filter; that is, the safety service requirements of the application environment are used to improve the filtering efficiency of the design scheme, forming a method of improving the filtering effect through multi-factor cooperation.

[0064] The method for selecting a salt mist filter based on simulation simulation according to the embodiments of the present application can simulate the influence of different salt mist environment parameters on the salt mist particle size by constructing a salt mist environment simulation system, and obtain the filtering performance parameters of a plurality of filter module design schemes under different environmental parameters through simulation simulation, so as to select a suitable design scheme of the salt mist filter for a target salt mist environment, thereby obtaining a suitable salt mist filter. The method can provide a scientific basis for the design and selection of the salt mist filter, has a good application prospect, and can be widely applied to the selection of protective measures in salt mist service environments such as ocean engineering, chemical enterprises, and coastal areas. The method considers the influence of multiple salt mist environment parameters on salt mist filtration, and can quickly and accurately study the interaction between multiple salt mist environment parameters through simulation simulation, thereby providing a scientific basis for the design of the salt mist filter and improving the filtering efficiency of the filter. Based on multiple user demand parameters, the most suitable design scheme for the user is selected from multiple design schemes, and a parameter adjustment method for improving the filtering efficiency of the design scheme is provided, so as to ensure that the selected filter is suitable for a specific salt mist environment. By constructing a filter module parameter library, a large number of design schemes are obtained, so that the best filtering scheme can be selected through simulation simulation, the number of physical experiments is reduced, the design cost is reduced, and the research and development period is shortened.

[0065] In order to realize the above-mentioned embodiments, the application further provides a simulation-based salt mist filter selection device. Figure 3 A simulation-based salt mist filter selection device is provided in the embodiments of the application. As shown in Figure 3 The simulation-based salt mist filter selection device can include a parameter acquisition module 301, an environment simulation module 302, a model determination module 303, a simulation calculation module 304, and a result output module 305.

[0066] The parameter acquisition module 301 is configured to acquire boundary conditions of multiple salt mist environment parameters, and acquire multiple groups of salt mist environment parameter combinations based on the boundary conditions of the multiple salt mist environment parameters. The environment simulation module 302 is configured to acquire salt mist particle diameters corresponding to the multiple groups of salt mist environment parameter combinations based on a constructed salt mist environment simulation system. The salt mist environment simulation system is configured to simulate influences of the multiple salt mist environment parameters on the salt mist particle diameters. The model determination module 303 is configured to acquire a particle size distribution corresponding to a salt mist particle diameter for each group of salt mist environment parameter combinations. The simulation calculation module 304 is configured to input multiple filter module design schemes into a salt mist filtration simulation model one by one based on the particle size distributions corresponding to the multiple groups of salt mist environment parameter combinations, and obtain simulation simulation results of the multiple filter module design schemes under the multiple groups of salt mist environment parameter combinations. The salt mist filtration simulation model simulates a filter module of a salt mist filter. The simulation simulation results include performance parameters of the salt mist filter. The result output module 305 is configured to acquire optimal filter module design schemes corresponding to the multiple groups of salt mist environment parameter combinations based on the simulation simulation results, so as to acquire a design scheme of a salt mist filter selected for a target salt mist environment based on the optimal filter module design schemes corresponding to the multiple groups of salt mist environment parameter combinations.

[0067] Further, in a possible implementation manner of the embodiments of the application, the result output module 305 is further configured to: acquire multiple user demand parameters, the multiple user demand parameters including one or more of economic characteristic parameters of the salt mist filter and performance parameters of the salt mist filter; acquire at least one preliminary filter module design scheme from the multiple filter module design schemes based on the economic characteristic parameters of the salt mist filter; acquire weights of the user demand parameters in the multiple user demand parameters; acquire scores of the user demand parameters in each of the at least one preliminary filter module design scheme based on a preset parameter scoring rule; obtain the comprehensive score of each of the at least one preliminary filter module design scheme based on the weight of each of the plurality of user demand parameters and the score of each of the plurality of user demand parameters in each of the at least one preliminary filter module design scheme; obtain the target filter module design scheme from the at least one preliminary filter module design scheme based on the comprehensive score.

[0068] Further, in a possible implementation manner of the embodiment of the present application, when the result output module 305 obtains the score of each of the plurality of user demand parameters in each of the at least one preliminary filter module design scheme based on the preset parameter scoring rule, the result output module 305 is specifically configured to: obtain a plurality of different scores according to the number of the at least one preliminary filter module design scheme; sort the at least one preliminary filter module design scheme based on the plurality of user demand parameters, and assign scores to each of the plurality of user demand parameters corresponding to each of the preliminary filter module design schemes according to the sorting and the plurality of different scores, so as to obtain the score of each of the plurality of user demand parameters in each of the at least one preliminary filter module design scheme.

[0069] Further, in a possible implementation manner of the embodiment of the present application, the plurality of salt mist environment parameters include temperature, humidity, salt mist particle mass concentration, wind speed and wind direction; the result output module 305 is further configured to: obtain the target salt mist environment parameter combination corresponding to the target filter module design scheme, so that the user adjusts the environmental parameters of the application scene of the salt mist filter corresponding to the target filter module design scheme according to the target salt mist environment parameter combination.

[0070] Further, in a possible implementation manner of the embodiment of the present application, the salt mist filter economic characteristic parameter includes service life and manufacturing cost, and one or more of the salt mist filter performance parameters include salt mist filtration efficiency and salt mist filtration resistance.

[0071] Further, in a possible implementation manner of the embodiment of the present application, the plurality of filter module design schemes are obtained based on a plurality of module design parameters in a filter module parameter library, and the plurality of module design parameters include the number of layers of filter screens included in the filter module, the aperture and material of each layer of filter screen, and the spacing and arrangement manner between adjacent filter screens.

[0072] Further, in a possible implementation manner of the embodiment of the present application, the plurality of salt mist environment parameters include temperature, humidity, salt mist particle mass concentration, wind speed and wind direction, and the salt mist environment simulation system controls the salt mist particle size based on the plurality of salt mist environment parameters through the following formula:

[0073] wherein, a mass concentration of salt spray particles at height z, is a number concentration of salt spray at ground height, is an air viscosity, unit Pa·s; r is a salt spray particle size after humidity influence, T is temperature, unit ℃; is a wind speed, is an angle between the wind speed and the filter module, that is, a wind direction; is a Boltzmann constant, is an air dynamic viscosity, is a density of salt, is an air density.

[0074] It should be noted that the foregoing explanation and description of the method for selecting the salt spray filter based on simulation also applies to the device for selecting the salt spray filter based on simulation of the embodiment, which will not be repeated here.

[0075] To achieve the above-embodiment, the present application also provides an electronic device. Please refer to Figure 4 , Figure 4 is a structural schematic diagram of the electronic device provided by the embodiment of the present application. As shown in Figure 4 , the electronic device 400 comprises a processor 401 and a memory 402 connected with the processor 401; the memory 402 stores computer execution instructions; the processor 401 executes the computer execution instructions stored in the memory to realize the method provided by the foregoing embodiment.

[0076] To achieve the above-embodiment, the present application also provides a computer readable storage medium, which stores computer execution instructions, and the computer execution instructions are executed by a processor to realize the method provided by the foregoing embodiment.

[0077] To achieve the above-embodiment, the present application also provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to realize the method provided by the foregoing embodiment.

[0078] In the foregoing various embodiment descriptions, the description with reference to the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Also, the specific features, structures, materials or characteristics described can be combined in any appropriate manner in any one or more embodiments or examples. Furthermore, the person skilled in the art can combine and combine the different embodiments or examples described in the present specification and the features of the different embodiments or examples, without contradiction.

[0079] In addition, the terms "first", "second", are used only for the purpose of description, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the technical features indicated. Therefore, the features defined with "first", "second" can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "a plurality of" is at least two, for example, two, three, etc., unless otherwise explicitly specifically limited.

[0080] Although the embodiments of the present application have been shown and described above, it is understood that the above-described embodiments are exemplary and cannot be construed as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above-described embodiments within the scope of the present application.

Claims

1. A method for selecting salt spray filters based on simulation, characterized in that, Includes the following steps: Obtain the boundary conditions of multiple salt spray environmental parameters, and based on the boundary conditions of the multiple salt spray environmental parameters, obtain multiple sets of salt spray environmental parameter combinations; Based on the constructed salt spray environment simulation system, the salt spray particle size corresponding to the multiple sets of salt spray environment parameter combinations is obtained; the salt spray environment simulation system is used to simulate the influence of the multiple salt spray environment parameters on the salt spray particle size. For each combination of salt spray environmental parameters, the corresponding salt spray particle size is obtained, and the particle size distribution entering at the salt spray filter inlet corresponding to that salt spray particle size is obtained. Based on the particle size distribution corresponding to each combination of salt spray environmental parameters, multiple filter module design schemes are input into the salt spray filtration simulation model one by one to obtain the simulation results of the multiple filter module design schemes under the combination of salt spray environmental parameters; the object simulated by the salt spray filtration simulation model is the filter module of the salt spray filter; the simulation results include the performance parameters of the salt spray filter. Based on the simulation results, the preferred filter module design schemes corresponding to each group of salt spray environment parameter combinations are obtained. In order to obtain the design scheme of the salt spray filter selected for the target salt spray environment based on the preferred filter module design scheme corresponding to the combination of salt spray environment parameters of each group.

2. The method according to claim 1, characterized in that, After obtaining the preferred filter module design scheme corresponding to each group of salt spray environment parameter combinations, the method further includes: Obtain multiple user requirement parameters, including one or more of the salt spray filter economic characteristic parameters and the salt spray filter performance parameters; Based on the economic characteristics parameters of the salt spray filter, at least one preliminary filter module design scheme is obtained from the multiple filter module design schemes. Obtain the weight of each user requirement parameter among the multiple user requirement parameters; Based on the preset parameter scoring rules, obtain the scores of each user requirement parameter of each preliminary filter module design scheme in the at least one preliminary filter module design scheme; Based on the weight of each user requirement parameter among the multiple user requirement parameters and the score of each user requirement parameter in each preliminary filter module design scheme among the at least one preliminary filter module design scheme, a comprehensive score for each preliminary filter module design scheme in the at least one preliminary filter module design scheme is obtained. Based on the comprehensive score, the target filter module design scheme is obtained from the at least one preliminary filter module design scheme.

3. The method according to claim 2, characterized in that, The method of obtaining scores for each user requirement parameter of each preliminary filter module design scheme in the at least one preliminary filter module design scheme based on preset parameter scoring rules includes: Based on the number of at least one preliminary filter module design schemes, multiple different scores are obtained; Based on the user requirement parameters, the at least one preliminary filter module design scheme is sorted, and according to the sorting and the multiple different scores, a score is assigned to each user requirement parameter corresponding to each preliminary filter module design scheme, so as to obtain the score of each user requirement parameter of each preliminary filter module design scheme in the at least one preliminary filter module design scheme.

4. The method according to claim 2, characterized in that, The multiple salt spray environmental parameters include temperature, humidity, salt spray particle mass concentration, wind speed, and wind direction; After obtaining the target filter module design scheme, the process also includes: Based on the preferred filter module design schemes corresponding to the salt spray environment parameter combinations obtained for each group, the target salt spray environment parameter combinations corresponding to the target filter module design scheme are obtained, so that users can adjust the environmental parameters of the application scenario of applying the salt spray filter corresponding to the target filter module design scheme according to the target salt spray environment parameter combinations.

5. The method according to claim 2, characterized in that, The economic characteristics parameters of the salt spray filter include service life and manufacturing cost, and one or more of the performance parameters of the salt spray filter include salt spray filtration efficiency and salt spray filtration resistance.

6. The method according to claim 1, characterized in that, The multiple filter module design schemes are obtained based on multiple module design parameters in the filter module parameter library. The multiple module design parameters include the number of filter layers included in the filter module, the pore size and material of each filter layer, and the spacing and arrangement between adjacent filter layers.

7. The method according to claim 1, characterized in that, The multiple salt spray environmental parameters include temperature, humidity, salt spray particle mass concentration, wind speed, and wind direction. The salt spray environment simulation system controls the salt spray particle size based on these multiple salt spray environmental parameters using the following formula: in, The mass concentration of salt spray particles at height z The concentration of salt spray at ground level. is the air viscosity; r is the salt spray particle size affected by humidity; T is the temperature. For wind speed, The angle between the wind speed and the filter module, i.e., the wind direction; Boltzmann constant, Aerodynamic viscosity, The density of salt, This refers to air density.

8. A selection device for a salt spray filter based on simulation, characterized in that, include: The parameter acquisition module is used to acquire the boundary conditions of multiple salt spray environment parameters, and based on the boundary conditions of the multiple salt spray environment parameters, acquire multiple sets of salt spray environment parameter combinations. An environmental simulation module is used to obtain the salt spray particle size corresponding to the multiple sets of salt spray environmental parameter combinations based on the constructed salt spray environmental simulation system; the salt spray environmental simulation system is used to simulate the influence of the multiple salt spray environmental parameters on the salt spray particle size. The model determination module is used to obtain the particle size distribution at the inlet of the salt spray filter corresponding to the salt spray particle size corresponding to each combination of salt spray environmental parameters. The simulation calculation module is used to input multiple filter module design schemes into the salt spray filtration simulation model one by one based on the particle size distribution corresponding to each combination of salt spray environmental parameters, and obtain the simulation results of the multiple filter module design schemes under the combination of salt spray environmental parameters; the object simulated by the salt spray filtration simulation model is the filter module of the salt spray filter; the simulation results include the performance parameters of the salt spray filter. The result output module is used to obtain the preferred filter module design scheme corresponding to each group of salt spray environment parameter combinations based on the simulation results. In order to obtain the design scheme of the salt spray filter selected for the target salt spray environment based on the preferred filter module design scheme corresponding to the combination of salt spray environment parameters of each group.

9. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-7.

Images