Blowing ash removal simulation method and device, electronic equipment and storage equipment

Abstract

The invention discloses a blowing dust removal simulation method and device, electronic equipment and a storage medium, the method and device are applied to the electronic equipment and used for conducting simulation calculation based on a filter cartridge blowing system, and finally simulation data of the filter cartridge blowing system are obtained. Compared with the prior art, the ceramic filter cartridge blowing ash removal simulation method provided by the invention is more scientific and reasonable, the simulation result is more accurate and reasonable, the parameters obtained by the method can be used for carrying out blowing ash removal simulation research on ceramic filter cartridge dust and nitrate integrated equipment of other specifications or arrangements, the accuracy of simulation values is improved, and the simulation efficiency is improved. And correct guidance is provided for actual project design.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of environmental protection equipment, more particularly, to a blowing and ash removal simulation method and device, electronic equipment and storage medium. BACKGROUND

[0002] The ceramic filter cartridge dust and nitration integrated equipment is an industrial flue gas multi-pollutant collaborative treatment equipment that has developed rapidly in the past decade. One of its core functions is to filter and collect dust from flue gas using a ceramic filter cartridge, and the dust adsorbed on the outer surface of the filter cartridge usually needs to be blown and removed using compressed air. The effect of blowing and removing ash directly affects the overall dust removal efficiency, system operating resistance and service life of the filter cartridge of the equipment.

[0003] In order to improve the ash removal effect, it is necessary to simulate the process of blowing and removing ash using high-pressure airflow. Currently, the scheme for studying the blowing pressure on the inner surface of the filter cartridge using airflow simulation technology mainly refers to bag, pleated filter cartridges or metal filter bags. The accuracy of the simulation data for blowing and removing ash of the ceramic filter cartridge is poor, and therefore it is unable to provide correct guidance for actual project design. SUMMARY

[0004] In view of the above, the present application provides a blowing and ash removal simulation method and device, electronic equipment and storage medium for improving the accuracy of the simulation data for blowing and removing ash of the ceramic filter cartridge, so as to be able to provide correct guidance for actual project design.

[0005] In order to achieve the above-mentioned purpose, the present scheme is as follows:

[0006] A blowing and ash removal simulation method is applied to an electronic device for simulation calculation based on a filter cartridge blowing system, wherein the filter cartridge blowing system comprises an air pocket, a blowing pipe, a nozzle, a plurality of ceramic filter cartridges and a shell. The blowing and ash removal simulation method comprises the following steps:

[0007] The first simulation result parameters and the first experimental result parameters obtained by simulation calculation and blowing experiment on a first combined structure composed of the air pocket, the blowing pipe and the nozzle are compared and verified to obtain first corrected calculation boundary parameters;

[0008] The second experimental result parameters and the second simulation result parameters obtained by ventilation experiment and simulation calculation on the ceramic filter cartridges based on an experimental device are compared and verified to obtain second corrected calculation boundary parameters;

[0009] The filter cartridge blowing system is simulated based on the first corrected calculation boundary parameters and the second corrected calculation boundary parameters to obtain overall simulation result parameters;

[0010] Obtaining overall experimental result parameters obtained through actual spraying experiments on the filter cartridge spraying system;

[0011] According to the overall experimental result parameters, the overall simulation result parameters are corrected and calculated to obtain simulation data of the filter cartridge spraying system.

[0012] Optionally, the first simulation result parameters and the first experimental result parameters obtained through simulation calculation and spraying experiments on the first combined structure composed of the gas pocket, the spraying pipe and the nozzle are compared and verified to obtain first corrected calculation boundary parameters, including the steps of:

[0013] The first simulation result parameters are obtained through simulation calculation on the first combined structure based on preset boundary conditions;

[0014] The first experimental result parameters obtained through actual spraying experiments on the first combined structure are obtained;

[0015] The first simulation result parameters are calculated based on the first experimental result parameters to obtain the first corrected calculation boundary parameters.

[0016] Optionally, the preset boundary condition is that the inlet pressure of the gas pocket is a fixed value.

[0017] Optionally, the second experimental result parameters and the second simulation result parameters obtained through ventilation experiments and simulation calculation on the ceramic filter cartridge based on the experimental device are compared and verified to obtain second corrected calculation boundary parameters, including the steps of:

[0018] The relationship data between the wind speed and the resistance of the ceramic filter cartridge obtained through ventilation experiments on the ceramic filter cartridge by using the experimental device are obtained, and the relationship data are calculated to obtain resistance calculation model parameters of the ceramic filter cartridge;

[0019] The combined structure of the ceramic filter cartridge and the shell is simulated and calculated based on the resistance calculation model parameters to obtain the second simulation result parameters;

[0020] The second corrected calculation boundary parameters are obtained by calculating the relationship data based on the second simulation result parameters.

[0021] Optionally, when the filter cartridge spraying system is simulated and calculated, the flow state inside the ceramic filter cartridge is set as laminar flow, and the remaining areas are set as turbulent flow.

[0022] Optionally, the overall experimental result parameters are the change data of the internal pressure value of the inner surface of the ceramic filter cartridge.

[0023] A pulse-jet cleaning simulation device is used in electronic equipment for simulation calculations based on a filter cartridge pulse-jet system. The filter cartridge pulse-jet system includes an air tank, a pulse-jet pipe, nozzles, multiple ceramic filter cartridges, and a housing. The pulse-jet simulation device includes:

[0024] The first calculation module is designed to verify the first simulation result parameters and the first experimental result parameters obtained by performing simulation calculations and blowing experiments on the first combined structure composed of the air bag, the blowing pipe and the nozzle, and to obtain the first corrected calculation boundary parameters.

[0025] The second calculation module is designed to compare and verify the second experimental result parameters and the second simulation result parameters obtained by conducting ventilation experiments and simulation calculations on the ceramic filter cartridge based on the experimental device, and obtain the second corrected calculation boundary parameters.

[0026] The simulation calculation module is designed to perform simulation calculations on the filter cartridge blowing system based on the first corrected calculation boundary parameters and the second corrected calculation boundary parameters to obtain overall simulation result parameters.

[0027] The parameter acquisition module is designed to acquire the overall experimental result parameters obtained by conducting an actual blowing experiment on the filter cartridge blowing system.

[0028] The calculation output module is designed to correct the overall simulation result parameters based on the overall experimental result parameters to obtain the simulation data of the filter cartridge blowing system.

[0029] An electronic device, comprising at least a processor and a memory connected to the processor, wherein:

[0030] The memory is used to store computer programs or instructions;

[0031] The processor is used to execute the computer program or instructions to enable the electronic device to implement the jet cleaning simulation method as described above.

[0032] A computer-readable storage medium is applied to an electronic device, the storage medium carrying one or more computer programs that can be executed by the electronic device, thereby enabling the electronic device to implement the pulse-jet cleaning simulation method as described above.

[0033] As can be seen from the above technical solutions, this application discloses a pulse-jet cleaning simulation method, apparatus, electronic device, and storage medium. This method and apparatus are applied to electronic devices for simulation calculations based on a filter cartridge pulse-jet cleaning system, ultimately obtaining simulation data for the filter cartridge pulse-jet cleaning system. Compared to existing technologies, the ceramic filter cartridge pulse-jet cleaning simulation method provided in this application is more scientific and reasonable, and its simulation results are more accurate and reasonable. The parameters obtained using this method can also be used to conduct pulse-jet cleaning simulation studies on other specifications or arrangements of integrated ceramic filter cartridge dust and nitrification equipment, improving the accuracy of simulation values ​​and providing correct guidance for actual project design. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 This is a flowchart illustrating a jet-blown cleaning simulation method according to an embodiment of this application;

[0036] Figure 2 This is a schematic diagram of the filter cartridge blowing system according to an embodiment of this application;

[0037] Figure 3 This is a schematic diagram illustrating the variation of the internal pressure of the air bag over time, obtained through simulation calculations in an embodiment of this application.

[0038] Figure 4 This is a schematic diagram of the filtration velocity and resistance curves of the ceramic filter cartridge in the embodiments of this application;

[0039] Figure 5 This is a static pressure distribution cloud map of the inner surface of the ceramic filter cartridge during the blowing process, obtained through simulation calculations in an embodiment of this application.

[0040] Figure 6 This is a block diagram of a jet-blown cleaning simulation device according to an embodiment of this application;

[0041] Figure 7 This is a block diagram of an electronic device according to an embodiment of this application. Detailed Implementation

[0042] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0043] Airflow simulation technology is a technique that uses computers to simulate the laws of airflow movement and is widely used in various industries. Based on this, this application proposes the following specific embodiments to solve the problem of poor accuracy of simulation data in the pulse-jet cleaning simulation of ceramic filter cartridges. The specific solutions are shown in the following embodiments.

[0044] The pulse-jet cleaning simulation method provided in this embodiment is applied to electronic equipment for simulating a cartridge filtration system. This cartridge filtration system includes an air reservoir, a pulse-jet pipe, nozzles, multiple ceramic filter cartridges, and a housing, specifically as follows: Figure 2 As shown. This electronic device can be understood as a computer, server, or cloud platform with data computing and information processing capabilities. The characteristics of the jetting simulation method provided in this embodiment are... Figure 1 As shown, the specific steps include the following:

[0045] S1. The first simulation result parameters and the first experimental result parameters obtained by simulating and performing a jetting experiment on the first combined structure consisting of the air bag, the jet pipe and the nozzle are compared and verified to obtain the first corrected calculation boundary parameters.

[0046] Before performing calculations, an actual blowing experiment is required on the first combined structure consisting of an air tank, a blowpipe, and a nozzle to obtain the first experimental result parameter. During the experiment, an experimental setup consisting of an air tank, an air tank, a blowpipe, and a nozzle is established. The pressure of the air tank is set to a fixed value, P, which is the inlet pressure of the air tank. A physical blowing experiment is then conducted to obtain the variation of the internal pressure of the air tank over time, which is used as the first experimental result parameter. Based on this, the following specific operations are performed:

[0047] First, by simulating the first combined structure described above, the first simulation result parameters are obtained.

[0048] When performing simulation calculations, a three-dimensional model of the combined structure of the air tank, jet pipe, and nozzle can first be established using SOLIDWORKS software. In ANSYS Workbench software, the region boundary type is set, the calculation mesh is generated, and the mesh is output. The mesh is then imported into FLUENT software, the basic solver is defined, the physical model required for the calculation is specified, the materials and working conditions of the simulation environment are set, an initial pressure is set inside the air tank, and a constant inlet pressure P is set at the inlet of the air tank. The change of the internal pressure of the air tank over time during one jet cycle is simulated to obtain the parameters of the first simulation result. Figure 3 The variation of the internal pressure of the air bag over time, obtained from simulation calculations, is shown.

[0049] Then, obtain the parameters of the first experimental result mentioned above.

[0050] Finally, the first simulation result parameters are compared and verified based on the first experimental result parameters, and calculations are performed based on the verification results to obtain the first corrected calculation boundary parameters.

[0051] S2. The second experimental result parameters and the second simulation result parameters obtained by comparing and verifying the second experimental result parameters obtained by conducting ventilation experiments and simulation calculations on ceramic filter cartridges based on experimental devices are used to obtain the second corrected calculation boundary parameters.

[0052] Similarly, prior to this calculation, an experimental setup consisting of a fan, ductwork, and corresponding ceramic filter cartridges was established to conduct a filter cartridge ventilation experiment. The experimental results were analyzed to obtain resistance data corresponding to different wind speeds, which were then used as the second experimental result parameters. Based on this, this embodiment obtains the second corrected calculation boundary parameters through the following steps.

[0053] First, data on the relationship between wind speed and resistance were obtained through ventilation experiments on ceramic filter cartridges using an experimental setup. This data was then used to calculate the parameters of the resistance calculation model for the ceramic filter cartridge. Since the ceramic filter cartridge is a porous medium with a certain thickness, the Porous-zone model can be used as the resistance calculation model. Figure 4 The filtration velocity and resistance curves of the ceramic filter cartridge in this embodiment are shown. Regression analysis can be used to determine the parameters of the filter cartridge resistance calculation model. The model equation is:

[0054] ,

[0055] Where ΔP is the pressure drop, μ is the dynamic viscosity of the fluid, α is the surface permeability, v is the fluid velocity, C2 is the inertial drag coefficient, ρ is the fluid density, and d is the thickness of the porous medium.

[0056] Then, based on the parameters of the resistance calculation model, the combined structure of the ceramic filter cartridge and the shell is simulated and calculated to obtain the second simulation result parameters.

[0057] In practice, a three-dimensional model of the combined structure of the ceramic filter cartridge and the shell is established in SOLIDWORKS software; the region boundary type is set, the calculation mesh is divided, and the mesh is output in ANSYS Workbench software; the mesh is imported into FLUENT software, and the filter cartridge resistance calculation model parameters are applied to the simulation calculation process to simulate the change of filter cartridge resistance with filtration velocity, thereby obtaining the change of resistance with filtration velocity, which is used as the second simulation result parameter.

[0058] Finally, the parameters from the second experimental results and the parameters from the second simulation results are compared to obtain the second corrected calculation boundary parameters.

[0059] S3. Based on the first and second corrected calculation boundary parameters, the filter cartridge injection system is simulated and calculated to obtain the overall simulation result parameters.

[0060] Specifically, the combined structure consisting of an air tank, a blowpipe, a nozzle, a filter cartridge, and a shell is simulated and calculated to account for the static pressure changes on the inner surface of the filter cartridge during the blowing process. In practice, a 3D model of the combined structure, including the air tank, blowpipe, nozzle, filter cartridge, and shell, is created in SOLIDWORKS software. The model is then meshed using the two corrected boundary parameters obtained above, boundary condition types are set, and the mesh is output. The mesh is imported into FLUENT software to simulate the static pressure changes on the inner surface of the ceramic filter cartridge during the blowing process, thus obtaining the overall simulation results.

[0061] The simulation revealed that the characteristic size of the porous region is very small. The local Reynolds number was calculated using the pore Reynolds number formula. Therefore, the flow state inside the filter cartridge wall was set to laminar flow, while the other regions were set to turbulent flow. The simulation results obtained were more consistent with the actual situation. Figure 5 The diagram shows the static pressure distribution cloud map on the inner surface of the ceramic filter cartridge during the injection process, obtained from simulation calculations. The formula for calculating the pore Reynolds number is:

[0062] ,

[0063] Among them, Re p It is the fluid density, V p Pore ​​velocity, h It is the hydraulic diameter. It is the fluid dynamic viscosity.

[0064] S4. Obtain the overall experimental result parameters obtained by conducting actual blowing experiments on the filter cartridge blowing system.

[0065] That is, construct the filter cartridge blowing system consisting of an air tank, a blow pipe, a nozzle, a filter cartridge, and a shell, and obtain the overall experimental result parameters by conducting actual blowing experiments based on the system. These parameters are then used as the basis for subsequent processing.

[0066] S5. Based on the overall experimental results parameters, the overall simulation results parameters are corrected and calculated to obtain the simulation data of the filter cartridge blowing system.

[0067] The overall simulation results parameters are compared with the overall experimental results parameters of the combined structure to obtain the simulation data of the filter cartridge blowing system, including but not limited to the final simulation environment, solver, equations, mesh size and boundary conditions. These data can be used to conduct blowing and cleaning simulation studies on other specifications or arrangements of ceramic filter cartridge dust and nitrification integrated equipment, improve the accuracy of simulation values, and provide correct guidance for the design of actual projects.

[0068] As can be seen from the above technical solution, this embodiment provides a jet cleaning simulation method. This method is applied to electronic equipment to perform simulation calculations based on a filter cartridge jet cleaning system, ultimately obtaining simulation data of the filter cartridge jet cleaning system. Compared with the prior art, the ceramic filter cartridge jet cleaning simulation method provided in this application is more scientific and reasonable, and its simulation results are more accurate and reasonable. The parameters obtained by this method can also be used to conduct jet cleaning simulation studies on other specifications or arrangements of integrated ceramic filter cartridge dust and nitrification equipment, improving the accuracy of simulation values ​​and providing correct guidance for actual project design.

[0069] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0070] Although the operations are described in a specific order, this should not be construed as requiring these operations to be performed in the specific order shown or in a sequential order. In certain environments, multitasking and parallel processing may be advantageous.

[0071] It should be understood that the steps described in the method embodiments of this disclosure may be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of this disclosure is not limited in this respect.

[0072] Computer program code for performing the operations of this disclosure can be written in one or more programming languages ​​or a combination thereof, including but not limited to object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer.

[0073] Figure 6 This is a block diagram of a jet-blown dust removal simulation device according to an embodiment of this application.

[0074] like Figure 6 As shown, the jetting simulation device provided in this embodiment specifically includes a first calculation module 10, a second calculation module 20, a simulation calculation module 30, a parameter acquisition module 40, and a calculation output module 50.

[0075] The first calculation module is used to compare and verify the first simulation result parameters and the first experimental result parameters obtained by simulating and performing a blowing experiment on the first combined structure consisting of an air bag, a blow pipe, and a nozzle, and to obtain the first corrected calculation boundary parameters.

[0076] Before performing calculations, an actual blowing experiment is required on the first combined structure consisting of an air tank, a blowpipe, and a nozzle to obtain the first experimental result parameter. During the experiment, an experimental setup consisting of an air tank, an air tank, a blowpipe, and a nozzle is established. The pressure of the air tank is set to a fixed value, P, which is the inlet pressure of the air tank. A physical blowing experiment is then conducted to obtain the variation of the internal pressure of the air tank over time, which is used as the first experimental result parameter. Based on this, the following specific operations are performed:

[0077] First, by simulating the first combined structure described above, the first simulation result parameters are obtained.

[0078] When performing simulation calculations, a three-dimensional model of the combined structure of the air tank, jet pipe, and nozzle can first be established using SOLIDWORKS software. In ANSYS Workbench software, the region boundary type is set, the calculation mesh is generated, and the mesh is output. The mesh is then imported into FLUENT software, the basic solver is defined, the physical model required for the calculation is specified, the materials and working conditions of the simulation environment are set, an initial pressure is set inside the air tank, and a constant inlet pressure P is set at the inlet of the air tank. The change of the internal pressure of the air tank over time during one jet cycle is simulated to obtain the parameters of the first simulation result. Figure 3 The variation of the internal pressure of the air bag over time, obtained from simulation calculations, is shown.

[0079] Then, obtain the parameters of the first experimental result mentioned above.

[0080] Finally, the first simulation result parameters are compared and verified based on the first experimental result parameters, and calculations are performed based on the verification results to obtain the first corrected calculation boundary parameters.

[0081] The second calculation module is used to compare and verify the second experimental result parameters and the second simulation result parameters obtained by conducting ventilation experiments and simulations on ceramic filter cartridges based on experimental devices, and to obtain the second corrected calculation boundary parameters.

[0082] Similarly, prior to this calculation, an experimental setup consisting of a fan, ductwork, and corresponding ceramic filter cartridges was established to conduct a filter cartridge ventilation experiment. The experimental results were analyzed to obtain resistance data corresponding to different wind speeds, which were then used as the second experimental result parameters. Based on this, this embodiment obtains the second corrected calculation boundary parameters through the following steps.

[0083] First, data on the relationship between wind speed and resistance were obtained through ventilation experiments on ceramic filter cartridges using an experimental setup. This data was then used to calculate the parameters of the resistance calculation model for the ceramic filter cartridge. Since the ceramic filter cartridge is a porous medium with a certain thickness, the Porous-zone model can be used as the resistance calculation model. Figure 4 The filtration velocity and resistance curves of the ceramic filter cartridge in this embodiment are shown. Regression analysis can be used to determine the parameters of the filter cartridge resistance calculation model. The model equation is:

[0084] ,

[0085] Where ΔP is the pressure drop, μ is the dynamic viscosity of the fluid, α is the surface permeability, v is the fluid velocity, C2 is the inertial drag coefficient, ρ is the fluid density, and d is the thickness of the porous medium.

[0086] Then, based on the parameters of the resistance calculation model, the combined structure of the ceramic filter cartridge and the shell is simulated and calculated to obtain the second simulation result parameters.

[0087] In practice, a three-dimensional model of the combined structure of the ceramic filter cartridge and the shell is established in SOLIDWORKS software; the region boundary type is set, the calculation mesh is divided, and the mesh is output in ANSYS Workbench software; the mesh is imported into FLUENT software, and the filter cartridge resistance calculation model parameters are applied to the simulation calculation process to simulate the change of filter cartridge resistance with filtration velocity, thereby obtaining the change of resistance with filtration velocity, which is used as the second simulation result parameter.

[0088] Finally, the parameters from the second experimental results and the parameters from the second simulation results are compared to obtain the second corrected calculation boundary parameters.

[0089] The simulation calculation module is used to perform simulation calculations on the filter cartridge blowing system based on the first and second corrected calculation boundary parameters to obtain the overall simulation result parameters.

[0090] Specifically, the combined structure consisting of an air tank, a blowpipe, a nozzle, a filter cartridge, and a shell is simulated and calculated to account for the static pressure changes on the inner surface of the filter cartridge during the blowing process. In practice, a 3D model of the combined structure, including the air tank, blowpipe, nozzle, filter cartridge, and shell, is created in SOLIDWORKS software. The model is then meshed using the two corrected boundary parameters obtained above, boundary condition types are set, and the mesh is output. The mesh is imported into FLUENT software to simulate the static pressure changes on the inner surface of the ceramic filter cartridge during the blowing process, thus obtaining the overall simulation results.

[0091] The simulation revealed that the characteristic size of the porous region is very small. The local Reynolds number was calculated using the pore Reynolds number formula. Therefore, the flow state inside the filter cartridge wall was set to laminar flow, while the other regions were set to turbulent flow. The simulation results obtained were more consistent with the actual situation. Figure 5 The diagram shows the static pressure distribution cloud map on the inner surface of the ceramic filter cartridge during the injection process, obtained from simulation calculations. The formula for calculating the pore Reynolds number is:

[0092] ,

[0093] Among them, Re p It is the fluid density, V p Pore ​​velocity, h It is the hydraulic diameter. It is the fluid dynamic viscosity.

[0094] The parameter acquisition module is used to acquire the overall experimental result parameters obtained by conducting actual blowing experiments on the filter cartridge blowing system.

[0095] That is, construct the filter cartridge blowing system consisting of an air tank, a blow pipe, a nozzle, a filter cartridge, and a shell, and obtain the overall experimental result parameters by conducting actual blowing experiments based on the system. These parameters are then used as the basis for subsequent processing.

[0096] The calculation output module is used to correct the overall simulation result parameters based on the overall experimental result parameters, and obtain the simulation data of the filter cartridge blowing system.

[0097] The overall simulation results parameters are compared with the overall experimental results parameters of the combined structure to obtain the simulation data of the filter cartridge blowing system, including but not limited to the final simulation environment, solver, equations, mesh size and boundary conditions. These data can be used to conduct blowing and cleaning simulation studies on other specifications or arrangements of ceramic filter cartridge dust and nitrification integrated equipment, improve the accuracy of simulation values, and provide correct guidance for the design of actual projects.

[0098] As can be seen from the above technical solution, this embodiment provides a jet-blowing simulation device. This device is applied to electronic equipment for simulating a filter cartridge jet-blowing system, ultimately obtaining simulation data of the filter cartridge jet-blowing system. Compared with the prior art, the ceramic filter cartridge jet-blowing dust removal simulation scheme provided in this application is more scientific and reasonable, and its simulation results are more accurate and reasonable. The parameters obtained by this method can also be used to conduct jet-blowing dust removal simulation studies on other specifications or arrangements of integrated ceramic filter cartridge dust removal equipment, improving the accuracy of simulation values ​​and providing correct guidance for actual project design.

[0099] The units described in the embodiments of this disclosure can be implemented in software or in hardware. The name of a unit does not necessarily limit the unit itself; for example, the first acquisition unit can also be described as "a unit that acquires at least two Internet Protocol addresses".

[0100] The functions described above in this document can be performed at least in part by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), system-on-a-chip (SoCs), complex programmable logic devices (CPLDs), and so on.

[0101] Figure 7 This is a block diagram of an electronic device according to an embodiment of this application.

[0102] The following is for reference. Figure 7This document illustrates a structural diagram suitable for implementing the electronic device in the embodiments of this disclosure. The terminal device in the embodiments of this disclosure may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. This electronic device is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this disclosure.

[0103] The electronic device may include a processing unit (e.g., a central processing unit, a graphics processing unit, etc.) 701, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 702 or a program loaded from an input device 706 into a random access memory (RAM) 703. The RAM also stores various programs and data required for the operation of the electronic device. The processing unit, ROM, and RAM are interconnected via a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0104] Typically, the following devices can be connected to the I / O interface: input devices including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 707 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 708 including, for example, magnetic tapes, hard disks, etc.; and communication devices 709. Communication device 709 allows the electronic device to communicate wirelessly or wiredly with other devices to exchange data. Although electronic devices with various devices are shown in the figures, it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed alternatively.

[0105] This application also provides an embodiment of a computer-readable storage medium.

[0106] The aforementioned computer-readable storage medium is applied to an electronic device and carries one or more computer programs. When the electronic device executes these programs, it causes the device to perform simulation calculations based on the filter cartridge blowing system, ultimately obtaining simulation data for the filter cartridge blowing system. Specifically, the process involves comparing and verifying the first simulation result parameters and the first experimental result parameters obtained from simulation calculations and blowing experiments on the first combined structure consisting of the air tank, blowing pipe, and nozzle to obtain first corrected calculation boundary parameters; comparing and verifying the second experimental result parameters and the second simulation result parameters obtained from ventilation experiments and simulation calculations on the ceramic filter cartridge based on the experimental device to obtain second corrected calculation boundary parameters; performing simulation calculations on the filter cartridge blowing system based on the first and second corrected calculation boundary parameters to obtain overall simulation result parameters; acquiring the overall experimental result parameters obtained from actual blowing experiments on the filter cartridge blowing system; and performing corrected calculations on the overall simulation result parameters based on the overall experimental result parameters to obtain simulation data for the filter cartridge blowing system. Compared with existing technologies, the ceramic filter cartridge pulse-jet cleaning simulation scheme provided in this application is more scientific and reasonable, and its simulation results are more accurate and reasonable. The parameters obtained by this method can also be used to conduct pulse-jet cleaning simulation studies on ceramic filter cartridge dust and nitrification integrated equipment of other specifications or arrangements, improve the accuracy of simulation values, and provide correct guidance for actual project design.

[0107] It should be noted that the computer-readable medium described above in this disclosure can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.

[0108] In this disclosure, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution system, apparatus, or device. In this disclosure, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0109] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0110] Although preferred embodiments of the present invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present invention.

[0111] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0112] The technical solution provided by the present invention has been described in detail above. Specific examples have been used to illustrate the principle and implementation of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation and application scope based on the idea of ​​the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A pulse-jet cleaning simulation method, applied to electronic equipment, for simulation calculations based on a filter cartridge pulse-jet system, wherein the filter cartridge pulse-jet system includes an air tank, a pulse-jet pipe, a nozzle, multiple ceramic filter cartridges, and a housing, characterized in that, The pulse-jet cleaning simulation method includes the following steps: By comparing and verifying the first simulation result parameters and the first experimental result parameters obtained by simulating and performing a jetting experiment on the first combined structure consisting of the air bag, the jetting pipe and the nozzle, the first corrected calculation boundary parameters are obtained. The second experimental result parameters and the second simulation result parameters obtained by conducting ventilation experiments and simulation calculations on the ceramic filter cartridge based on the experimental device are compared and verified to obtain the second corrected calculation boundary parameters. The filter cartridge blowing system is simulated based on the first and second corrected calculation boundary parameters to obtain the overall simulation result parameters. Obtain the overall experimental result parameters by conducting an actual blowing experiment on the filter cartridge blowing system; The overall simulation result parameters are corrected and calculated based on the overall experimental result parameters to obtain the simulation data of the filter cartridge blowing system.

2. The pulse-jet cleaning simulation method as described in claim 1, characterized in that, The first simulation result parameters and the first experimental result parameters obtained by comparing and verifying the first simulation result parameters and the first experimental result parameters obtained by simulating and performing a jetting experiment on the first combined structure composed of the air bag, the jet pipe and the nozzle, to obtain the first corrected calculation boundary parameters, includes the following steps: The first combined structure is simulated and calculated based on preset boundary conditions to obtain the first simulation result parameters; Obtain the first experimental result parameters obtained by conducting an actual jetting experiment on the first combined mechanism; The first simulation result parameters are calculated based on the first experimental result parameters to obtain the first corrected calculation boundary parameters.

3. The pulse-jet cleaning simulation method as described in claim 2, characterized in that, The preset boundary condition is that the inlet pressure of the air bag is a fixed value.

4. The pulse-jet cleaning simulation method as described in claim 1, characterized in that, The second experimental result parameters and the second simulation result parameters obtained by comparing and verifying them through ventilation experiments and simulation calculations of the ceramic filter cartridge based on experimental equipment, to obtain the second corrected calculation boundary parameters, include the following steps: Obtain the relationship data between wind speed and resistance obtained by conducting a ventilation experiment on the ceramic filter cartridge using the experimental device, and calculate the relationship data to obtain the resistance calculation model parameters of the ceramic filter cartridge; Based on the resistance calculation model parameters, the combined structure of the ceramic filter cartridge and the shell is simulated and calculated to obtain the second simulation result parameters; The second simulation result parameters are used to calculate the relational data to obtain the second corrected calculation boundary parameters.

5. The pulse-jet cleaning simulation method as described in claim 1, characterized in that, When simulating the filter cartridge blowing system, the flow state inside the ceramic filter cartridge is set as laminar flow, and the other areas are set as turbulent flow.

6. The pulse-jet cleaning simulation method as described in claim 1, characterized in that, The overall experimental result parameter is the change data of the static pressure value on the inner surface of the ceramic filter cartridge.

7. A pulse-jet cleaning simulation device, applied to electronic equipment, for performing simulation calculations based on a filter cartridge pulse-jet system, wherein the filter cartridge pulse-jet system includes an air tank, a pulse-jet pipe, a nozzle, multiple ceramic filter cartridges, and a housing, characterized in that, The pulse-jet cleaning simulation device includes: The first calculation module is designed to verify the first simulation result parameters and the first experimental result parameters obtained by performing simulation calculations and blowing experiments on the first combined structure composed of the air bag, the blowing pipe and the nozzle, and to obtain the first corrected calculation boundary parameters. The second calculation module is designed to compare and verify the second experimental result parameters and the second simulation result parameters obtained by conducting ventilation experiments and simulation calculations on the ceramic filter cartridge based on the experimental device, and obtain the second corrected calculation boundary parameters. The simulation calculation module is designed to perform simulation calculations on the filter cartridge blowing system based on the first corrected calculation boundary parameters and the second corrected calculation boundary parameters to obtain overall simulation result parameters. The parameter acquisition module is designed to acquire the overall experimental result parameters obtained by conducting an actual blowing experiment on the filter cartridge blowing system. The calculation output module is designed to correct the overall simulation result parameters based on the overall experimental result parameters to obtain the simulation data of the filter cartridge blowing system.

8. An electronic device, characterized in that, The electronic device includes at least a processor and a memory connected to the processor, wherein: The memory is used to store computer programs or instructions; The processor is used to execute the computer program or instructions to enable the electronic device to implement the jet cleaning simulation method as described in any one of claims 1 to 6.

9. A computer-readable storage medium for use in electronic devices, characterized in that, The storage medium carries one or more computer programs that can be executed by the electronic device, thereby enabling the electronic device to implement the pulse-jet cleaning simulation method as described in any one of claims 1 to 6.

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