Selection Method and Device for Salt Spray Filters Based on Simulation

Abstract

This application proposes a method and apparatus for selecting salt spray filters based on simulation. The method includes: obtaining boundary conditions for multiple salt spray environmental parameters; obtaining multiple combinations of salt spray environmental parameters based on the boundary conditions; obtaining the salt spray particle size corresponding to the multiple combinations of salt spray environmental parameters based on a constructed salt spray environment simulation system; obtaining the particle size distribution entering the salt spray filter at the inlet corresponding to the salt spray particle size for each combination of salt spray environmental parameters; inputting 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 to obtain the simulation results of the multiple filter module design schemes under the combination of salt spray environmental parameters; and obtaining the preferred filter module design scheme corresponding to each combination of salt spray environmental parameters based on the simulation results, so as to select a suitable salt spray filter.

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 salt mist particles and dust particles are quite different, the particle size is not fixed and can 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:

[0005] In a first aspect, the present application provides a selection method for a salt mist filter based on simulation, comprising:

[0006] 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;

[0007] 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;

[0008] 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;

[0009] 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;

[0010] 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.

[0011] In a second aspect, an apparatus for selecting a salt mist filter based on simulation is provided, comprising:

[0012] A parameter acquisition module is configured to acquire boundary conditions of a plurality of salt mist environment parameters, and based on the boundary conditions of the plurality of salt mist environment parameters, to acquire a plurality of groups of salt mist environment parameter combinations.

[0013] An environment simulation module is configured to acquire corresponding salt mist particle sizes for the plurality of groups of salt mist environment parameter combinations based on a constructed salt mist environment simulation system, wherein the salt mist environment simulation system is configured to simulate influences of the plurality of salt mist environment parameters on the salt mist particle sizes.

[0014] A model determination module is configured to acquire a particle size distribution corresponding to an inlet of a salt mist filter for a salt mist particle size corresponding to each group of salt mist environment parameter combinations.

[0015] A simulation calculation module is configured to input a plurality of filter module design schemes one by one into the salt mist filter simulation model to obtain simulation results of the plurality of filter module design schemes under the group of salt mist environment parameter combinations, wherein the simulation results include salt mist filter performance parameters.

[0016] A result output module is configured to acquire an optimal filter module design scheme corresponding to each group of salt mist environment parameter combinations based on the 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 scheme corresponding to each group of salt mist environment parameter combinations.

[0017] In a third aspect, an electronic device is provided, comprising a processor and a memory connected to the processor in communication, wherein the memory stores computer execution instructions, and the processor executes the computer execution instructions stored in the memory to implement the method of the first aspect.

[0018] In a fourth aspect, a computer readable storage medium is provided, wherein the computer readable storage medium stores computer execution instructions, and the computer execution instructions are executed by a processor to implement the method of the first aspect.

[0019] In a fifth aspect, a computer program product is provided, comprising a computer program, wherein the computer program is executed by a processor to implement the method of the first aspect.

[0020] The application provides a selection method and device for a salt mist filter based on simulation, which 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 filtering module design schemes under different environment parameters through simulation, so as to select a suitable salt mist filter design scheme for a target salt mist environment, thereby obtaining a suitable salt mist filter.

[0021] Additional aspects and advantages of the application will be set forth in part in the description which follows, and in part will become apparent to those having ordinary skill in the art upon examination of the following or can be learned from practice of the application. BRIEF DESCRIPTION OF DRAWINGS

[0022] The above and / or additional aspects and advantages of the application will become apparent and be readily appreciated from the following description, taken in conjunction with the accompanying drawings, in which:

[0023] Figure 1 A flowchart of a selection method for a salt mist filter based on simulation provided by an embodiment of the application;

[0024] Figure 2 A flowchart of a selection method for a salt mist filter based on simulation provided by another embodiment of the application;

[0025] Figure 3 A block diagram of a selection device for a salt mist filter based on simulation provided by an embodiment of the application;

[0026] Figure 4 A block diagram of an electronic device provided by an embodiment of the application. DETAILED DESCRIPTION

[0027] Embodiments of the application are described in detail below with reference to the accompanying drawings, in which the same or similar elements or elements having the same or similar functions are denoted by the same or similar reference numerals throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the application, and cannot be understood as limiting the application.

[0028] The selection method, device and equipment for a salt mist filter based on simulation of an embodiment of the application are described below with reference to the accompanying drawings.

[0029] Figure 1 A flowchart of a selection method for a salt mist filter based on simulation provided by an embodiment of the application.

[0030] It should be noted that the execution subject of the selection method of the salt mist filter based on simulation simulation in the embodiments of the present application is the selection device of the salt mist filter based on simulation simulation in the embodiments of the present application. The selection device of the salt mist filter based on simulation simulation can be configured in an electronic device, so that the electronic device can perform the selection function of the salt mist filter based on simulation simulation.

[0031] As shown in Figure 1 , the selection method of the salt mist filter based on simulation simulation includes the following steps:

[0032] In step S101, the boundary conditions of the plurality of salt mist environment parameters are obtained, and based on the boundary conditions of the plurality of salt mist environment parameters, a plurality of salt mist environment parameter combinations are obtained.

[0033] In some embodiments, based on the environmental parameter analysis, the boundary conditions of the plurality of salt mist environment parameters are obtained.

[0034] In some embodiments, the plurality of salt mist environment parameters includes temperature, humidity, salt mist particle mass concentration, wind speed and wind direction.

[0035] In one example, the boundary conditions of the plurality of salt mist environment parameters include: temperature control at -5-50℃, humidity control at 30%-90%, salt mist particle mass concentration control at 0.01-5 , wind direction 0~360°, wind speed 0~25m / s.

[0036] For the salt mist filter, the wind direction is usually 90°, the air volume range of the salt mist filter is 50-3400 , and the air volume is the product of the effective filtering area of the salt mist filter and the wind speed.

[0037] In step S102, based on the constructed salt mist environment simulation system, the salt mist particle size corresponding to the plurality of salt mist environment parameter combinations is obtained; the salt mist environment simulation system is used to simulate the influence of the plurality of salt mist environment parameters on the salt mist particle size.

[0038] In some embodiments, 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:

[0039] (1)

[0040] wherein, the salt mist particle mass concentration at a height z, the salt mist particle number concentration at the ground height, the air viscosity, unit Pa·s; r is the salt mist 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, for the dynamic viscosity of air, for the density of salt, for the density of air.

[0041] In some embodiments, the method for obtaining the above formula (1) is as follows:

[0042] The relationship between the salt fog particle size and humidity is represented by the following formula:

[0043] (2)

[0044] wherein, is the particle size of dry salt particles, in cm; r is the salt fog particle size after humidity influence; RH is humidity, RH reaches the critical deliquium humidity RH salt only then the deliquium change will begin, therefore, RH salt ≤RH<100%; RH salt is a constant value, and is irrelevant to temperature, humidity and other parameters.

[0045] The relationship between temperature and deliquium critical humidity is represented by the following formula:

[0046] (3)

[0047] wherein, is the deliquium critical humidity, T is temperature, in ℃, and since the present application takes sodium chloride as the object, the sodium chloride related data is fitted here.

[0048] The relationship between the salt fog settling speed and wind speed and wind direction is represented by the following formula:

[0049] (4)

[0050] wherein, is the settling speed of salt fog particles in the vertical direction (also referred to as floating speed), is the dynamic viscosity of air, in Pa·s; is the wind speed, is the wind speed angle, i.e. the wind direction; is the density of salt, is the density of air.

[0051] (5)

[0052] The relationship between the salt fog migration speed and wind speed and wind direction is as follows:

[0053] (6)

[0054] wherein, is the horizontal migration speed of the salt fog particles.

[0055] The distribution of the salt fog particle concentration is determined by the balance of turbulent diffusion and gravitational settling, two directions opposite, together to maintain the balance of particulate matter. That is, the vertical diffusion flux of particles (the number of particles per unit area per unit time) is determined by diffusion and gravitational settling.

[0056] Turbulent diffusion obeys Fick's law:

[0057] (7)

[0058] where D is the diffusion coefficient, is the particle concentration at height z, the symbol indicates diffusion from high concentration to low concentration.

[0059] Gravitational settling:

[0060] (8)

[0061] At dynamic equilibrium, the total flux is 0, that is

[0062] That is:

[0063] (9)

[0064] Separate and integrate the above equation as follows:

[0065] (10)

[0066] We can get:

[0067] (11)

[0068] Where n0is the salt fog concentration at ground level, v is the settling velocity, and z is the height.

[0069] The salt fog settling velocity at equilibrium state is brought into the above equation, and we can get:

[0070] (12)

[0071] The salt fog particle size is mainly distributed in 1-10um, and its diffusion distribution obeys the Stokes-Einstein equation,

[0072] (13)

[0073] Where D is the diffusion coefficient, Boltzmann constant, T is the atmospheric temperature, K; Air dynamic viscosity, r is the salt fog particle size.

[0074] Substitute the expression of D into the expression of The relationship between the particle concentration at height z and height, salt mist particle size, temperature, wind speed, and wind direction can be obtained as follows:

[0075] (14)

[0076] n(z) is the particle number concentration, which is converted to mass concentration as follows:

[0077] (15)

[0078] According to the conversion relationship (15) above, formula (14) can be converted to formula (1).

[0079] That is, according to the correlation between multiple salt mist environmental parameters and salt mist particle size, a salt mist environment simulation system is constructed to simulate the influence of multiple salt mist environmental parameters on salt mist particle size through the system.

[0080] It should be noted that generally, the airflow speed in industrial environments is 0.5-5 m / s, the wind speed is usually horizontal or at other angles, the atmospheric salt mist concentration is 0.1-1000 ; the salt mist particle size distribution is 1-10 um; the dry salt particle density is 2165 , with the density of NaCl as the salt mist density; the environmental parameters are temperature 45℃ and humidity 60%-80%, the humidity required to reach the temperature is calculated using the known temperature, and the parameters are set to meet the basic application conditions.

[0081] In step S103, for the salt mist particle size corresponding to each group of salt mist environmental parameter combinations, the particle size distribution entering the inlet of the salt mist filter corresponding to the salt mist particle size is obtained.

[0082] The input of the salt mist filtration simulation model in the subsequent steps includes the particle size distribution entering the inlet of the salt mist filter, and thus the particle size distribution entering the inlet of the salt mist filter needs to be obtained in this step.

[0083] In this embodiment, a CFD simulation tool is selected to build a salt mist environment simulation system for fluid dynamics simulation.

[0084] In step S104, based on the particle size distribution corresponding to each group of salt mist environmental parameter combinations, multiple filtration module design schemes are input into the salt mist filtration simulation model one by one, and simulation results of the multiple filtration module design schemes under the group of salt mist environmental parameter combinations are obtained; the object simulated by the salt mist filtration simulation model is the filtration module of the salt mist filter; the simulation results include the performance parameters of the salt mist filter.

[0085] In some embodiments, the plurality of filter module design schemes are obtained based on a plurality of module design parameters in a filter module parameter library, the plurality of module design parameters including the number of layers of filter screens included in the filter module, the pore size and material of each layer of filter screen, the spacing and arrangement between adjacent filter screens, etc., wherein the arrangement is, for example, coarse-medium-fine, or coarse-coarse-medium-medium-fine, coarse-fine, etc. different pore size arrangements. For example, filter module design schemes with different pore sizes, different materials, and different numbers of layers can be obtained, and these design schemes can also be stored in the filter module parameter library.

[0086] In one example, the pore size of each layer of filter screen can be selected from the following parameters: 50 mesh, 100 mesh, 150 mesh, and 200 mesh, corresponding to 0.308um, 0.154um, 0.099um, and 0.077um, respectively. The material selection range includes 316L stainless steel (high corrosion resistance), plastic (such as polypropylene), ceramic, etc.; the number of layers of filter screens can be selected from 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).

[0087] In this embodiment, according to common filtering requirements and actual application scenarios, various values of the plurality of module design parameters are stored in the filter module parameter library, and based on the filter module parameter library, a plurality of filter module design schemes including different module design parameters can be obtained.

[0088] 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 , and the filtration area is 85m 2 ), a 4-layer filter module design scheme is simulated, and the filtration efficiency is 65% and the filtration resistance is 140.3Pa; after similar simulation of other filter module design schemes, it is found that the filtration efficiency of a 2-layer filter module is 40% and the filtration resistance is 93Pa, and the filtration efficiency of an 8-layer filter module is 75% and the filtration resistance is 219.8Pa under the salt spray environment parameters.

[0089] In some embodiments, the salt spray filter performance parameters include salt spray filtration efficiency and salt spray filtration resistance, and can also include salt spray particle removal rate, dust holding capacity of the filter, corrosion resistance, etc. The salt spray particle removal rate can be determined by calculating the ratio of the concentration difference of salt spray 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 spray.

[0090] Step S105, based on the simulation results, obtaining the preferred filter module design scheme corresponding to each group of salt spray environment parameter combinations; so as to obtain the design scheme of the salt spray filter selected by the target salt spray environment based on the preferred filter module design scheme corresponding to each group of salt spray environment parameter combinations.

[0091] In this embodiment, according to the simulation results, the best design scheme with high filtering efficiency and small filtering resistance under different salt spray environment parameters can be screened out.

[0092] In one example, when the wind speed increases, the residence time of salt spray particles in the filter module is shortened, which may reduce the filtering efficiency, but at this time, the particle size of the salt spray particles can be increased by adjusting the temperature and humidity, so as to compensate for the loss of filtering efficiency caused by the increase of wind volume to a certain extent. Through repeated simulation, the best matching range of multiple salt spray environment parameters can be determined, forming a method that can coordinate multiple salt spray environment parameters to maximize the filtering effect.

[0093] In some embodiments, as shown in Figure 2 After obtaining the preferred filter module design scheme corresponding to each group of salt spray environment parameter combinations, the following steps are further included:

[0094] Step S1051, obtaining multiple user demand parameters, the multiple user demand parameters including one or more of salt spray filter economic characteristic parameters and salt spray filter performance parameters.

[0095] In some embodiments, the salt spray filter economic characteristic parameters include service life and manufacturing cost, and the one or more of salt spray filter performance parameters include salt spray filtering efficiency and salt spray filtering resistance.

[0096] In some embodiments, according to the user salt spray filtering demand analysis, the data such as salt spray filtering efficiency, salt spray filtering resistance, manufacturing cost and service life that the user needs to achieve are confirmed.

[0097] Step S1052, based on the salt spray filter economic characteristic parameters, obtaining at least one preliminary filter module design scheme from the multiple filter module design schemes.

[0098] In this step, the design scheme that meets the user's requirements in service life and manufacturing cost is obtained from the multiple filter module design schemes as the preliminary filter module design scheme.

[0099] Step S1053, obtaining the weight of each user demand parameter in the multiple user demand parameters.

[0100] In one embodiment, the weight of each user demand parameter in the multiple user demand parameters is obtained by using the analytic hierarchy process.

[0101] In one embodiment, the weight of each user demand parameter in the plurality of user demand parameters is obtained according to user requirements.

[0102] In one embodiment, the weight of each user demand parameter in the plurality of user demand parameters is obtained according to statistical analysis results.

[0103] In step S1054, the score of each user demand parameter in each preliminary filter module design scheme in the at least one preliminary filter module design scheme is obtained based on a preset parameter scoring rule.

[0104] In some embodiments, the score of each user demand parameter in each preliminary filter module design scheme in the at least one preliminary filter module design scheme is obtained based on a preset parameter scoring rule; including: 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 in each preliminary filter module design scheme in the at least one preliminary filter module design scheme.

[0105] In step S1055, the comprehensive score of each preliminary filter module design scheme in the at least one preliminary filter module design scheme is obtained based on the weight of each user demand parameter in the plurality of user demand parameters and the score of each user demand parameter in each preliminary filter module design scheme in the at least one preliminary filter module design scheme.

[0106] In this step, for each 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.

[0107] 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.

[0108] Table 1:

[0109]

[0110] 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.

[0111] In the embodiment, the comprehensive scores of multiple 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.

[0112] In some embodiments, after the target filter module design scheme is obtained, the method further includes: obtaining a target salt spray environment parameter combination corresponding to the target filter module design scheme based on the preferred filter module design schemes corresponding to each group of salt spray environment parameter combinations, so that the user adjusts the environmental parameters of the application scene of the salt spray filter corresponding to the target filter module design scheme according to the target salt spray environment parameter combination.

[0113] 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 spray environment parameters, and thus the field environmental parameters of the salt spray filter corresponding to the filter module design scheme can be adjusted to improve the filtering performance of the salt spray filter; that is, the design scheme is improved in filtering efficiency by the safety service requirement of the application environment, forming a method of multi-factor synergistic improvement of filtering effect.

[0114] The method for selecting a salt spray filter based on simulation simulation provided in the embodiments of the present application can simulate the influence of different salt spray environment parameters on the salt spray particle size by constructing a salt spray environment simulation system, and obtain the filtering performance parameters of multiple filter module design schemes under different environmental parameters through simulation simulation, so as to select a suitable design scheme of the salt spray filter for a target salt spray environment, thereby obtaining a suitable salt spray filter. The method can provide a scientific basis for the design and selection of the salt spray filter, has good application prospects, and can be widely applied in the selection of protective measures in salt spray service environments such as marine engineering, chemical enterprises, and coastal areas. The method can quickly and accurately study the interaction between multiple salt spray environment parameters through simulation simulation by comprehensively considering the influence of multiple salt spray environment parameters on salt spray filtration, and can provide a scientific basis for the design of the salt spray filter and improve 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 spray 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.

[0115] In order to realize the above-mentioned embodiments, the present application further provides a device for selecting a salt spray filter based on simulation simulation. Figure 3 A structural schematic diagram of a device for selecting a salt spray filter based on simulation simulation provided in the embodiments of the present application is shown in FIG. 1. Figure 3As shown, the salt mist filter selection device based on simulation 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.

[0116] The parameter acquisition module 301 is configured to acquire boundary conditions of a plurality of salt mist environment parameters, and acquire a plurality of groups of salt mist environment parameter combinations based on the boundary conditions of the plurality of salt mist environment parameters.

[0117] The environment simulation module 302 is configured to acquire salt mist particle diameters corresponding to the plurality of groups 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 influences of the plurality of salt mist environment parameters on the salt mist particle diameters.

[0118] 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.

[0119] The simulation calculation module 304 is configured to input a plurality of filter module design schemes into a salt mist filtration simulation model one by one based on the particle size distributions corresponding to the plurality of groups of salt mist environment parameter combinations, and obtain simulation results of the plurality of filter module design schemes under the groups of salt mist environment parameter combinations, and the salt mist filtration simulation model simulates a filter module of a salt mist filter, and the simulation results include performance parameters of the salt mist filter.

[0120] The result output module 305 is configured to acquire preferred filter module design schemes corresponding to the plurality of groups of salt mist environment parameter combinations based on the simulation results, so as to acquire a design scheme of a salt mist filter selected for a target salt mist environment based on the preferred filter module design schemes corresponding to the plurality of groups of salt mist environment parameter combinations.

[0121] Further, in a possible implementation manner of the embodiment of the present application, the result output module 305 is further configured to:

[0122] acquire a plurality of user demand parameters, and the plurality of user demand parameters include one or more of economic characteristic parameters of the salt mist filter and performance parameters of the salt mist filter;

[0123] acquire at least one preliminary filter module design scheme from the plurality of filter module design schemes based on the economic characteristic parameters of the salt mist filter;

[0124] acquire weights of the user demand parameters in the plurality of user demand parameters;

[0125] acquire scores of the user demand parameters in each preliminary filter module design scheme of the at least one preliminary filter module design scheme based on a preset parameter scoring rule;

[0126] obtain a 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 user demand parameters of each of the preliminary filter module design schemes in the at least one preliminary filter module design scheme;

[0127] obtain the target filter module design scheme from the at least one preliminary filter module design scheme based on the comprehensive score.

[0128] 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 user demand parameters of 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 used for:

[0129] obtain a plurality of different scores according to the number of the at least one preliminary filter module design scheme;

[0130] sort the at least one preliminary filter module design scheme based on each of the user demand parameters, and assign scores to each of the 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 user demand parameters of each of the at least one preliminary filter module design scheme.

[0131] 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 used for:

[0132] obtain a target salt mist environment parameter combination corresponding to the target filter module design scheme based on the obtained 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.

[0133] 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.

[0134] 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.

[0135] Further, in a possible implementation of the embodiment of the application, the plurality of salt spray environment parameters include temperature, humidity, salt spray particle mass concentration, wind speed and wind direction, and the salt spray environment simulation system controls the salt spray particle size based on the plurality of salt spray environment parameters through the following formula:

[0136]

[0137] wherein, the salt spray particle mass concentration at the height z, the salt spray particle number concentration at the 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, the air dynamic viscosity, the density of salt, the air density.

[0138] It should be noted that the foregoing explanation of the method for selecting the salt spray filter based on simulation is also applicable to the device for selecting the salt spray filter based on simulation, and will not be repeated here.

[0139] To achieve the above-mentioned embodiments, the application further 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 application. As Figure 4 shown, the electronic device 400 includes 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.

[0140] To achieve the above-mentioned embodiments, the application further 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.

[0141] To achieve the above-mentioned embodiments, the application further provides a computer program product, which includes a computer program, and the computer program is executed by a processor to realize the method provided by the foregoing embodiment.

[0142] 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.

[0143] 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.

[0144] 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, The method comprises the following 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, wherein the plurality of salt mist environment parameters comprise temperature, humidity, salt mist particle mass concentration, wind speed, and wind direction; obtaining salt mist particle diameters corresponding to the plurality of salt mist environment parameter combinations based on a constructed salt mist environment simulation system, wherein the salt mist environment simulation system is used to simulate the influence of the plurality of salt mist environment parameters on the salt mist particle diameters; for the salt mist particle diameters corresponding to each of the plurality of salt mist environment parameter combinations, obtaining a particle size distribution corresponding to the salt mist particle diameters entering the inlet of a salt mist filter; based on the particle size distributions corresponding to each of the plurality of salt mist environment parameter combinations, inputting a plurality of filter module design schemes into a salt mist filtration simulation model one by one to obtain simulation and analysis results of the plurality of filter module design schemes under the salt mist environment parameter combination, wherein the salt mist filtration simulation model simulates a filter module of the salt mist filter, the simulation and analysis results comprise salt mist filter performance parameters, one or more of the salt mist filter performance parameters comprise salt mist filtration efficiency and salt mist filtration resistance, 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 comprise the number of layers of filter screens included in the filter module, the pore diameter and material of each layer of filter screens, the spacing and arrangement mode between adjacent filter screens; based on the simulation and analysis results, obtaining a preferred filter module design scheme corresponding to each of the plurality of salt mist environment parameter combinations, so that a target filter module design scheme of a salt mist filter selected for a target salt mist environment is obtained based on the preferred filter module design schemes corresponding to the plurality of salt mist environment parameter combinations; after obtaining the target filter module design scheme, the method comprises the following steps: based on the preferred filter module design schemes corresponding to the plurality of salt mist environment parameter combinations, obtaining a target salt mist environment parameter combination corresponding to the target filter module design scheme, so that a user adjusts an application scenario of a salt mist filter corresponding to the target filter module design scheme according to the target salt mist environment parameter combination.

2. The method of claim 1, wherein, after obtaining the preferred filter module design schemes corresponding to the plurality of salt mist environment parameter combinations, the method further comprises the following steps: obtaining a plurality of user demand parameters, wherein the plurality of user demand parameters comprise one or more of salt mist filter economic characteristic parameters and the salt mist filter performance parameters; based on the salt mist filter economic characteristic parameters, obtaining at least one preliminary filter module design scheme from the plurality of filter module design schemes; obtaining the weight of each user demand parameter in the plurality of user demand parameters; based on a preset parameter scoring rule, obtaining a score of each user demand parameter of each preliminary filter module design scheme in the at least one preliminary filter module design scheme; and based on the score of each user demand parameter of each preliminary filter module design scheme in the at least one preliminary filter module design scheme, obtaining the preferred filter module design scheme corresponding to each of the plurality of salt mist environment parameter combinations. obtaining a 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 user demand parameter of each of the at least one preliminary filter module design scheme; obtaining a target filter module design scheme from the at least one preliminary filter module design scheme based on the comprehensive score.

3. The method of claim 2, wherein, The score of each user demand parameter of each of the at least one preliminary filter module design scheme is obtained based on the preset parameter scoring rule, which comprises: 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 of the user demand parameters, and assigning a score to each user demand parameter 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 user demand parameter of each of the at least one preliminary filter module design scheme.

4. The method of claim 2, wherein, The economic characteristic parameters of the salt mist filter include service life and manufacturing cost.

5. The method of claim 1, wherein, 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 by the following formula: wherein, salt fog particle mass concentration at height z, salt fog number concentration at ground level, air viscosity; r is the salt fog particle diameter after humidity effect, T is temperature; wind speed, the angle between the wind speed and the filter module, i.e. the wind direction; Boltzmann constant, air dynamic viscosity, density of salt, air density.

6. A device for selecting a salt mist filter based on simulation analog, characterized by, It comprises: A parameter acquisition module is configured to obtain boundary conditions of a plurality of salt mist environment parameters, and obtain a plurality of groups of salt mist environment parameter combinations based on the boundary conditions of the plurality of salt mist environment parameters. The plurality of salt mist environment parameters include temperature, humidity, salt mist particle mass concentration, wind speed and wind direction. An environment simulation module is configured to obtain a salt mist particle size corresponding to each of the plurality of groups of salt mist environment parameter combinations based on the constructed salt mist environment simulation system. The salt mist environment simulation system is configured to simulate the influence of the plurality of salt mist environment parameters on the salt mist particle size. A model determination module is configured to obtain a particle size distribution entering the inlet of a salt mist filter corresponding to each of the plurality of groups of salt mist environment parameter combinations. A simulation calculation module is configured to input a plurality of filter module design schemes into a salt mist filtration simulation model one by one based on the particle size distribution corresponding to each of the plurality of groups of salt mist environment parameter combinations, to obtain simulation results of the plurality of filter module design schemes under the group of salt mist environment parameter combinations. The salt mist filtration simulation model simulates the filter module of the salt mist filter. The simulation results include salt mist filter performance parameters. One or more of the salt mist filter performance parameters include salt mist filtration efficiency and salt mist filtration resistance. The plurality of filter module design schemes are obtained based on a plurality of module design parameters in a filter module parameter library. The plurality of module design parameters include the number of layers of filter screens included in the filter module, the pore size and material of each layer of filter screen, the spacing and arrangement between adjacent filter screens. A result output module is configured to obtain a preferred filter module design scheme corresponding to each of the plurality of groups of salt mist environment parameter combinations based on the simulation results. In order to obtain the target filter module design scheme of the salt mist filter selected by the target salt mist environment based on the preferred filter module design scheme corresponding to each group of salt mist environment parameter combinations; After obtaining the target filter module design scheme, the method comprises: based on the preferred filter module design scheme corresponding to each group of salt mist environment parameter combinations, obtaining the target salt mist environment parameter combination corresponding to the target filter module design scheme, so that the user adjusts 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.

7. An electronic device, comprising: Comprise: A processor and a memory connected in communication with the processor; The memory stores computer execution instructions; The processor executes the computer execution instructions stored in the memory to realize the method of any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer execution instructions, and the computer execution instructions are executed by the processor to realize the method of any one of claims 1-5.

Images