Construction method of coarse filter simulation model, coarse filter efficiency determination method and device

Abstract

The application discloses a construction method and device of a rough filter simulation model and a rough filter efficiency determination method. The method comprises the following steps: acquiring initial structures containing initial structure parameters; wherein the initial structures comprise an air inlet simulation structure, an air outlet simulation structure and a dust outlet simulation structure; receiving structure parameter adjustment instructions for the structures, adjusting the initial structure parameters based on the structure parameter adjustment instructions to obtain target structures containing target structure parameters; and combining the target structures to obtain a constructed rough filter simulation model. The technical scheme disclosed in the embodiment of the application improves the applicability of model construction, thereby improving the reliability of testing.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of rough filter simulation, and in particular to a rough filter simulation model construction method, a rough filter efficiency determination method and device. BACKGROUND

[0002] With the increase of emission requirements, traditional fuel vehicles need to improve fuel efficiency as much as possible to reduce energy consumption and exhaust emission, and meet the long-term use requirements. In order to achieve these technical requirements, the rough filter of the air cleaner will bear higher technical requirements, and its structure and performance need to be continuously improved. While improving the filtering efficiency and ensuring the cleanliness of the intake air, the intake resistance is as low as possible. In the process of improvement, the structure and performance need to be tested continuously. However, using actual components for testing not only has high cost, but also low efficiency. In order to test efficiently, the existing technology builds a simulation model, tests the structure and performance based on the simulation model, and determines the filtering efficiency.

[0003] In the existing model built, there is a difference between the actual structure, which leads to low reliability of the calculated results of the filtering efficiency, and thus the structure and performance of the vehicle improved based on the simulation model are poor. SUMMARY

[0004] The present application provides a rough filter simulation model construction method, a rough filter efficiency determination method and device, to solve the problem that there is a difference between the actual structure in the existing model built, which leads to low reliability of the calculated results of the filtering efficiency, and to improve the applicability of model building and thus improve the reliability of testing.

[0005] In a first aspect, the present application embodiment provides a rough filter simulation model construction method, which comprises:

[0006] Obtain each initial structure containing initial structure parameters; wherein each initial structure includes an air inlet simulation structure, an air outlet simulation structure and a dust outlet simulation structure;

[0007] Receive structure parameter adjustment instructions for each structure, adjust the structure parameters of each initial structure parameter based on the structure parameter adjustment instructions, and obtain target structures containing each target structure parameter;

[0008] Combine each target structure to obtain a completed rough filter simulation model.

[0009] Optionally, if the structure parameter adjustment instruction includes an air inlet length stretching instruction;

[0010] Correspondingly, the structure parameter adjustment of each initial structure parameter based on the structure parameter adjustment instruction to obtain the target structure containing each target structure parameter comprises:

[0011] determining a length stretching parameter of the air inlet based on the length stretching instruction, and stretching an initial air inlet length of the air inlet simulation structure based on the length stretching parameter to obtain a target air inlet simulation structure after stretching.

[0012] Optionally, if the structure parameter adjustment instruction comprises an air inlet shape adjustment instruction,

[0013] Correspondingly, the structure parameter adjustment based on the structure parameter adjustment instruction to each initial structure parameter to obtain a target structure comprising each target structure parameter comprises:

[0014] determining a shape adjustment parameter of the air inlet based on the air inlet shape adjustment instruction, and adjusting an initial shape parameter of the air inlet simulation structure based on the shape adjustment parameter to obtain a target air inlet simulation structure after adjustment.

[0015] Optionally, if the structure parameter adjustment instruction comprises an air outlet length stretching instruction,

[0016] Correspondingly, the structure parameter adjustment based on the structure parameter adjustment instruction to each initial structure parameter to obtain a target structure comprising each target structure parameter comprises:

[0017] determining a length stretching parameter of the air outlet based on the air outlet length stretching instruction, and stretching an initial air outlet length of the air outlet simulation structure based on the air outlet length stretching parameter to obtain a target air outlet simulation structure after stretching.

[0018] Optionally, before receiving the structure parameter adjustment instruction for each structure, the method further comprises:

[0019] determining a region inner wall of a preset region in the dust discharge port simulation structure, wherein the region inner wall comprises an inner wall boundary layer;

[0020] Correspondingly, the receiving of the structure parameter adjustment instruction for each structure, the structure parameter adjustment based on the structure parameter adjustment instruction to each initial structure parameter to obtain a target structure comprising each target structure parameter comprises:

[0021] receiving an inner wall boundary layer cancel instruction for the region inner wall, and processing the region inner wall of the dust discharge port simulation structure based on the inner wall boundary layer cancel instruction to obtain a target dust discharge port simulation structure after processing.

[0022] In a second aspect, the embodiments of the present application further provide a coarse filtration efficiency determination method applied to a coarse filter simulation model constructed by the coarse filter simulation model construction method according to any of the embodiments, and the method comprises:

[0023] acquire, in a preset time interval, first gas entering the air inlet simulation structure and second gas discharged by the air outlet simulation structure;

[0024] determine the rough filtration efficiency of the rough filter simulation model based on the first gas, the second gas and the simulation compensation parameter.

[0025] In a third aspect, the embodiments of the present application further provide a rough filter simulation model construction device, which comprises:

[0026] An initial structure acquisition module is configured to acquire initial structures containing initial structure parameters; wherein the initial structures include air inlet simulation structure, air outlet simulation structure and dust outlet simulation structure;

[0027] A target structure determination module is configured to receive structure parameter adjustment instructions for the structures, adjust the initial structure parameters based on the structure parameter adjustment instructions, and obtain target structures containing target structure parameters;

[0028] A rough filter simulation model construction module is configured to combine the target structures to obtain a completed rough filter simulation model.

[0029] In a fourth aspect, the embodiments of the present application further provide a rough filtration efficiency determination device applied to a rough filter simulation model constructed based on the rough filter simulation model construction method of any one of the embodiments, which comprises:

[0030] A gas acquisition module is configured to acquire, in a preset time interval, first gas entering the air inlet simulation structure and second gas discharged by the air outlet simulation structure;

[0031] A rough filtration efficiency determination module is configured to determine the corresponding simulation compensation parameter based on the completed rough filter simulation model, and determine the rough filtration efficiency of the rough filter simulation model based on the first gas, the second gas and the simulation compensation parameter.

[0032] In a fifth aspect, the embodiments of the present application further provide an electronic device, which comprises:

[0033] at least one processor; and

[0034] a memory connected to the at least one processor in communication; wherein,

[0035] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the construction method of the rough filter simulation model according to any one of the embodiments of the application, and / or the rough filtration efficiency determination method according to any one of the embodiments.

[0036] In a sixth aspect, the embodiments of the application further provide a computer readable storage medium storing computer instructions for enabling a processor to implement the construction method of the rough filter simulation model according to any one of the embodiments of the application, and / or the rough filtration efficiency determination method according to any one of the embodiments when executed by the processor.

[0037] The technical scheme of the embodiments of the application acquires initial structures containing initial structure parameters; wherein the initial structures include an air inlet simulation structure, an air outlet simulation structure, and a dust outlet simulation structure; receives structure parameter adjustment instructions for each structure, adjusts the initial structure parameters based on the structure parameter adjustment instructions, and obtains target structures containing target structure parameters; and combines the target structures to obtain a constructed rough filter simulation model. The above technical scheme acquires simulation structures constructed by existing rough filters, improves each simulation structure, combines the improved target structures, and obtains a constructed rough filter simulation model. The above technical scheme solves the problem that the existing constructed model has differences with the actual structure, which leads to low reliability of the calculated filtration efficiency, improves the applicability of model construction, and improves the reliability of testing.

[0038] It should be understood that the content described in this part is not intended to identify key or important features of the embodiments of the application, nor is it used to limit the scope of the application. Other features of the application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative effort.

[0040] Figure 1 is a flow chart of a construction method of a rough filter simulation model according to an embodiment of the application;

[0041] Figure 2 is a flow chart of a rough filtration efficiency determination method according to an embodiment of the application;

[0042] Figure 3is a structural schematic diagram of a construction device of a rough filter simulation model according to an embodiment three of the present application;

[0043] Figure 4 is a structural schematic diagram of a rough filter efficiency determination device according to an embodiment four of the present application;

[0044] Figure 5 is a structural schematic diagram of an electronic device according to an embodiment five of the present application. DETAILED DESCRIPTION

[0045] In order to make the personnel in the art better understand the present application scheme, the technical scheme in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor should belong to the scope of protection of the present application.

[0046] It should be noted that the terms "first", "second" and the like in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily have to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein.

[0047] The names of the messages or information exchanged between the plurality of devices in the embodiments of the present disclosure are only for illustrative purposes, and are not intended to limit the scope of the messages or information.

[0048] It can be understood that before using the technical solutions disclosed in the embodiments of the present disclosure, the type, use range, use scenario and the like of the personal information involved in the present disclosure should be informed to the user and the authorization of the user should be obtained through appropriate means according to relevant laws and regulations.

[0049] For example, in response to receiving the user's active request, the user is sent prompt information to explicitly prompt the user that the operation requested to be performed will require the acquisition and use of the user's personal information. Thus, the user can voluntarily choose whether to provide personal information to the electronic device, application program, server or storage medium, etc. software or hardware that performs the operation of the technical solutions of the present disclosure according to the prompt information.

[0050] As an optional but non-limiting implementation manner, in response to receiving the active request of the user, the manner of sending the prompt information to the user may be, for example, a pop-up window manner, in which the prompt information may be presented in a text manner. In addition, the pop-up window may also carry a selection control for the user to select "agree" or "disagree" to provide the personal information to the electronic device.

[0051] It can be understood that the above notification and user authorization obtaining process is only illustrative and does not limit the implementation manners of the present disclosure, and other manners meeting the relevant laws and regulations can also be applied to the implementation manners of the present disclosure.

[0052] It can be understood that the data (including but not limited to the data itself, the acquisition or use of the data) involved in the technical solution should comply with the requirements of the relevant laws and regulations and the relevant provisions.

[0053] Embodiment one

[0054] Figure 1 A flowchart of a construction method of a rough filter simulation model is provided for the present embodiment one, the present embodiment can be applied to the case of building a rough filter simulation model, and the method can be executed by a rough filter simulation model construction device. The rough filter simulation model construction device can be realized in the form of hardware and / or software, and can be configured in an intelligent terminal and a cloud server. As shown in the figure, the method comprises the following steps. Figure 1

[0055] S110, obtaining each initial structure containing an initial structure parameter; wherein each initial structure includes an air inlet simulation structure, an air outlet simulation structure, and a dust outlet simulation structure.

[0056] In the present embodiment, in order to improve the improvement efficiency of the rough filter in the improvement process, a simulation model of the improved rough filter is constructed in advance. If the filtration efficiency of the simulation model is improved, a component with the same structure parameter is produced based on the simulation model, so as to obtain the improved rough filter. Optionally, in order to make the simulation model more applicable, each initial structure of the simulation model is basically consistent with the structure of the existing rough filter. That is, the structure of the existing rough filter is the initial structure in the rough filter simulation model to be constructed in the present embodiment, including the air inlet simulation structure, the air outlet simulation structure, and the dust outlet simulation structure.

[0057] ​Specifically, the manner of obtaining each initial structure can include: collecting each component contained in an existing coarse filter, and establishing a simulation structure of each component as an initial structure of the simulation model. Optionally, the component parameters of each component collected can be used as initial structure parameters of the initial structure. It should be noted that there are various types of coarse filters in the prior art, and any type of coarse filter can be selected as the prototype of the simulation structure. In other words, the initial structure in the embodiment can be specifically determined according to different types of coarse filters in the prior art, and the corresponding initial structure parameters can also be specifically determined according to the parameters of each component, and the embodiment does not limit this.

[0058] It should be noted that the above manner of obtaining each initial structure for constructing the coarse filter simulation model is only an optional implementation, and each initial structure can also be obtained based on other manners, and the embodiment does not limit this.

[0059] S120, receiving a structure parameter adjustment instruction for each structure, adjusting the initial structure parameters based on the structure parameter adjustment instruction to obtain a target structure containing target structure parameters.

[0060] In the embodiment of the application, each initial structure needs to be improved first to obtain an improved target structure, and then an improved coarse filter simulation model is obtained based on the target structure. Specifically, the method of improving the initial structure can include improving the initial structure parameters corresponding to each initial structure to obtain a target structure corresponding to each initial structure respectively. It should be noted that different structure parameter adjustment instructions need to be input for different initial structures to obtain a target structure corresponding to each initial structure respectively.

[0061] Optionally, for the air inlet simulation structure, the structure parameter adjustment instruction includes an air inlet shape adjustment instruction; correspondingly, the method of adjusting the initial structure parameters based on the structure parameter adjustment instruction to obtain a target structure containing target structure parameters can include: determining an air inlet shape adjustment parameter based on the air inlet shape adjustment instruction; adjusting the initial shape parameter of the air inlet simulation structure based on the shape adjustment parameter to obtain an adjusted target air inlet simulation structure.

[0062] It should be noted that the shape adjustment instruction can be understood as adjusting the shape of the air inlet simulation structure, for example, adjusting a surface jet to a conical jet. Of course, other shape adjustments can also be made to the air inlet simulation structure, and the embodiment does not limit this.

[0063] Specifically, when the received inlet shape adjustment instruction is to adjust the inlet shape to a conical inlet, the shape adjustment parameter is determined to be the taper of the conical injection, and optionally, the taper can be adjusted according to different test modes. Correspondingly, the shape of the inlet simulation model is adjusted based on the shape adjustment instruction to obtain the adjusted target inlet simulation shape.

[0064] In this embodiment, the conical injection port is selected to more realistically simulate the movement trajectory of dust into the pipeline. The inlet shape of the existing inlet simulation structure is mostly face injection, and under this simulation structure, the movement trajectory of dust into the air filter is too idealized, which will cause the calculation result to be distorted; and in this embodiment, the dust movement trajectory sprayed by the conical injection port is different from the particle movement trajectory of the face injector, and is more in line with the real working condition. And in this embodiment, the parameters of the conical injection port can be adjusted according to the inlet pipe diameter of the inlet simulation structure. Exemplarily, the inlet angle adjustment range can be 0.1-0.6, and the outlet angle adjustment range can be 2-10.

[0065] Optionally, for the inlet simulation structure, the structure parameter adjustment instruction further includes an inlet length stretching instruction; and correspondingly, the method of adjusting the initial structure parameters based on the structure parameter adjustment instruction to obtain the target structure containing the target structure parameters can include: determining the length stretching parameter of the inlet based on the inlet length stretching instruction, and stretching the initial inlet length of the inlet simulation structure based on the length stretching parameter to obtain the target inlet simulation structure after stretching.

[0066] Specifically, if the inlet length stretching instruction for adjusting the inlet simulation structure is to stretch the inlet simulation structure by 6D length, the length stretching parameter is determined to be 6D. Correspondingly, the inlet simulation structure is stretched based on the length stretching parameter to obtain the target inlet simulation length after stretching.

[0067] Optionally, for the outlet simulation structure, the structure parameter adjustment instruction includes an outlet length stretching instruction; and correspondingly, the method of adjusting the initial structure parameters based on the structure parameter adjustment instruction to obtain the target structure containing the target structure parameters can include: determining the length stretching parameter of the outlet based on the outlet length stretching instruction, and stretching the initial outlet length of the outlet simulation structure based on the length stretching parameter to obtain the target outlet simulation structure after stretching.

[0068] Specifically, if the outlet length stretching instruction for adjusting the outlet simulation structure is to stretch the outlet simulation structure by 4D length, the length stretching parameter is determined to be 4D. Correspondingly, the outlet simulation structure is stretched based on the length stretching parameter to obtain the target outlet simulation length after stretching.

[0069] It is worth noting that in the process of stretching the air inlet simulation structure and the air outlet simulation structure, a gradual stretching operation can be adopted, and the beneficial effect of the operation is to improve the calculation stability, thereby saving the calculation time and improving the calculation efficiency.

[0070] The technical scheme of the embodiment determines the region inner wall of the preset region in the dust outlet simulation structure before receiving the structure parameter adjustment instruction of each structure, wherein the region inner wall includes an inner wall boundary layer. Optionally, the preset region can be understood as a fluid domain region where the dust particles contact the fluid space. Since the region inner wall of the fluid domain region of the existing dust outlet simulation structure has a boundary layer, in the process of improving each initial structure in the embodiment, in order to make the improved structure more consistent with the actual situation, the idea of canceling the boundary layer is proposed.

[0071] Optionally, the method of receiving the structure parameter adjustment instruction of each structure, adjusting the structure parameter of each initial structure parameter based on the structure parameter adjustment instruction, and obtaining the target structure containing each target structure parameter can include: receiving an inner wall boundary layer canceling instruction for the region inner wall, processing the region inner wall of the dust outlet simulation structure based on the inner wall boundary layer canceling instruction, and obtaining the processed target dust outlet simulation structure.

[0072] Specifically, in the embodiment, the fluid domain where the dust particles contact the fluid space is specially processed, that is, the setting of the boundary layer is canceled. The reason is that after the fine dust enters the air filter, because the mass of the dust particles is small enough, the dust particles will be subjected to centrifugal force and radial force under the driving of the airflow. Based on the two forces, the dust will do spiral motion along the inner wall of the air filter in the air filter. The purpose of canceling the boundary layer is to eliminate the influence of the boundary layer on the fine dust, so that the simulation is as close to the real working condition as possible, and the simulation accuracy is improved.

[0073] S130, combining each target structure to obtain a constructed air filter simulation model.

[0074] In the embodiment of the application, each initial structure is improved based on the received structure parameter adjustment instruction to obtain each target structure, and then each target structure is combined to obtain a constructed air filter simulation model.

[0075] Specifically, when receiving the combination instruction of each target structure, each target structure is combined based on the preset connection relationship between the target structures, so as to obtain the constructed air filter simulation model.

[0076] The technical scheme of the embodiment of the present application obtains each initial structure containing initial structure parameters; wherein, each initial structure includes an air inlet simulation structure, an air outlet simulation structure and a dust outlet simulation structure; receives a structure parameter adjustment instruction for each structure, adjusts the structure parameters of each initial structure parameter based on the structure parameter adjustment instruction, obtains a target structure containing each target structure parameter; combines each target structure to obtain a completed coarse filter simulation model. The above technical scheme obtains the simulation structure constructed by the existing coarse filter, improves each simulation structure, and then combines the improved target structure to obtain the completed coarse filter simulation model. The problem that the existing model has differences with the actual structure, resulting in low reliability of the calculated results of the filtration efficiency, is solved, the applicability of the model construction is improved, and the reliability of the test is improved.

[0077] Embodiment two

[0078] Figure 2 A flowchart of a coarse filtration efficiency determination method is provided for the second embodiment of the present application. The present embodiment can be applied to the case of determining the coarse filtration efficiency of the coarse filter simulation model. The method can be executed by a coarse filtration efficiency determination device, which can be realized in the form of hardware and / or software. The coarse filtration efficiency determination device can be configured in an intelligent terminal and a cloud server. As shown in the figure, the method includes the following steps. Figure 2

[0079] S210, in a preset time interval, obtaining first gas entering the air inlet simulation structure and second gas discharged by the air outlet simulation structure.

[0080] It should be noted that the first gas can be understood as air dust and other gases that need to be filtered. The second gas can be understood as the output gas of the filter, i.e. the gas obtained after filtering the first gas.

[0081] Specifically, the first gas and the second gas are obtained, and the coarse filtration efficiency of the simulation model is calculated based thereon.

[0082] S220, determining the corresponding simulation compensation parameter based on the completed coarse filter simulation model, and determining the coarse filtration efficiency of the coarse filter simulation model based on the first gas, the second gas and the simulation compensation parameter.

[0083] ​In the embodiment of the present application, the simulation compensation coefficient can be understood as a compensation coefficient generated in the process of calculating the coarse filtration efficiency in order to repair the energy loss caused by friction with the wall when the dust moves in the inner wall of the air filter, that is, the simulation calculation of the coarse filtration efficiency calculation is more close to the actual working condition. Different simulation compensation coefficients are generated based on different coarse filtration efficiency determination models. Optionally, for the Lagrange model, the simulation compensation coefficient specifically includes a wall tangent compensation coefficient and a wall normal compensation coefficient. Specifically, the wall tangent compensation coefficient and the wall normal compensation coefficient can be adjusted according to different inner diameters, and the wall tangent compensation coefficient and the wall normal compensation coefficient will cause different energy loss errors due to different dust incident angles and air filter inner diameters. For example, the wall tangent compensation coefficient has a value range of 0.3-0.4, and the wall normal compensation coefficient has a value range of 0.6-0.7. Of course, other value ranges can also be selected according to actual conditions, and the present embodiment does not limit this.

[0084] Specifically, in the case where the coarse filtration efficiency determination model for coarse filtration efficiency calculation and the corresponding simulation compensation coefficient are determined, the first gas, the second gas, and the simulation compensation coefficient are input into the determined coarse filtration efficiency determination model to obtain the coarse filtration efficiency of the coarse filter simulation model constructed by the above-mentioned embodiments output by the model.

[0085] The technical solution implemented by the present application specifically includes obtaining the first gas entering the inlet simulation structure and the second gas discharged by the outlet simulation structure within a preset time interval; determining the corresponding simulation compensation parameter based on the constructed coarse filter simulation model, and determining the coarse filtration efficiency of the coarse filter simulation model based on the first gas, the second gas, and the simulation compensation parameter. The above-mentioned technical solution uses the set simulation compensation coefficient to make the process of determining the coarse filtration efficiency of the determined coarse filter simulation model more close to the actual power, thereby improving the reliability of the obtained coarse filtration efficiency.

[0086] Embodiment three

[0087] Figure 3 A structure schematic diagram of a coarse filter simulation model construction device provided by the third embodiment of the present application is shown in FIG. 3. Figure 3 As shown in the figure, the device includes an initial structure acquisition module 310, a target structure determination module 320, and a coarse filter simulation model construction module 330; wherein,

[0088] The initial structure acquisition module 310 is used to acquire each initial structure containing initial structure parameters; wherein each initial structure includes an inlet simulation structure, an outlet simulation structure, and a dust discharge port simulation structure.

[0089] The target structure determination module 320 is configured to receive a structure parameter adjustment instruction for each structure, adjust the initial structure parameter of each structure based on the structure parameter adjustment instruction, and obtain a target structure containing a target structure parameter.

[0090] The coarse filter simulation model construction module 330 is configured to combine each target structure to obtain a constructed coarse filter simulation model.

[0091] Based on the above embodiments, optionally, the structure parameter adjustment instruction includes an air inlet length stretching instruction.

[0092] Correspondingly, the target structure determination module 320 includes:

[0093] The first target air inlet simulation structure determination unit is configured to determine a length stretching parameter of the air inlet based on the air inlet length stretching instruction, stretch the initial air inlet length of the air inlet simulation structure based on the length stretching parameter, and obtain a target air inlet simulation structure after stretching.

[0094] Based on the above embodiments, optionally, the structure parameter adjustment instruction includes an air inlet shape adjustment instruction.

[0095] Correspondingly, the target structure determination module 320 includes:

[0096] The second target air inlet simulation structure determination unit is configured to determine a shape adjustment parameter of the air inlet based on the air inlet shape adjustment instruction, adjust the initial shape parameter of the air inlet simulation structure based on the shape adjustment parameter, and obtain a target air inlet simulation structure after adjustment.

[0097] Based on the above embodiments, optionally, the structure parameter adjustment instruction includes an air outlet length stretching instruction.

[0098] Correspondingly, the target structure determination module 320 includes:

[0099] The target air outlet simulation structure determination unit is configured to determine a length stretching parameter of the air outlet based on the air outlet length stretching instruction, stretch the initial air outlet length of the air outlet simulation structure based on the air outlet length stretching parameter, and obtain a target air outlet simulation structure after stretching.

[0100] Based on the above embodiments, optionally, the device further includes:

[0101] The area inner wall determining module is configured to determine an area inner wall of a preset area in the dust outlet simulation structure before receiving a structure parameter adjustment instruction for each structure, wherein the area inner wall comprises an inner wall boundary layer.

[0102] Correspondingly, the target structure determining module 320 comprises:

[0103] The inner wall boundary layer canceling instruction for the area inner wall is received, and the area inner wall of the dust outlet simulation structure is processed based on the inner wall boundary layer canceling instruction to obtain a processed target dust outlet simulation structure.

[0104] The rough filter simulation model construction device provided by the embodiment of the present application can execute the rough filter simulation model construction method provided by any embodiment of the present application, and has the corresponding functional structure and beneficial effects of the execution method.

[0105] Embodiment four

[0106] Figure 4 A structural schematic diagram of a rough filter efficiency determination device provided for the fourth embodiment of the present application is shown in FIG. 4. Figure 4 As shown in the figure, the device comprises a gas acquisition module 410 and a rough filter efficiency determination module 420, wherein,

[0107] The gas acquisition module 410 is configured to acquire a first gas entering the gas inlet simulation structure and a second gas discharged by the gas outlet simulation structure within a preset time interval.

[0108] The rough filter efficiency determination module 420 is configured to determine a corresponding simulation compensation parameter based on the constructed rough filter simulation model, and determine the rough filter efficiency of the rough filter simulation model based on the first gas, the second gas and the simulation compensation parameter.

[0109] The rough filter efficiency determination device provided by the embodiment of the present application can execute the rough filter efficiency determination method provided by any embodiment of the present application, and has the corresponding functional structure and beneficial effects of the execution method.

[0110] Embodiment five

[0111] Figure 5A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0112] like Figure 5 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0113] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0114] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as methods for constructing coarse filter simulation models, and / or methods for determining coarse filter efficiency.

[0115] In some embodiments, the construction method of the rough filter simulation model, and / or, the rough filter efficiency determination method can be implemented as a computer program tangibly embodied in a computer readable storage medium, e.g., storage unit 18. In some embodiments, parts or all of the computer program can be loaded onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded onto the RAM 13 and executed by the processor 11, one or more steps of the construction method of the rough filter simulation model, and / or, the rough filter efficiency determination method described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to perform the construction method of the rough filter simulation model, and / or, the rough filter efficiency determination method by any other suitable means, e.g., by means of firmware.

[0116] Various implementations of the systems and techniques described above can be realized in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a programmable logic device (PLD), a computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0117] Computer programs used to implement the processes of the present application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the computer program, when executed, implements the functions / acts specified in the flowcharts and / or block diagrams. The computer program can be executed entirely on a machine, partially on a machine, partially on a machine and partially on a remote machine or entirely on a remote machine or server.

[0118] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer-readable storage medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of a machine-readable storage medium will include one or more lines of a program of instructions in a transitory signal, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0119] To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0120] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0121] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS service.

[0122] It should be understood that the various forms of flow shown above can be used to reorder, add or delete steps. For example, each step described in the present application can be executed in parallel, sequentially or in a different order, as long as the desired results of the technical solutions of the present application can be achieved, which is not limited herein.

[0123] The above detailed description does not constitute a limitation on the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method of constructing a roughing filter simulation model, characterized by, The method comprises the following steps: obtaining initial structures comprising initial structure parameters, wherein the initial structures comprise an air inlet simulation structure, an air outlet simulation structure, and a dust outlet simulation structure; receiving structure parameter adjustment instructions for the structures, and adjusting the initial structure parameters based on the structure parameter adjustment instructions to obtain target structures comprising target structure parameters, wherein the structure parameter adjustment instructions comprise air inlet length stretching instructions, air inlet shape adjustment instructions, and air outlet length stretching instructions; combining the target structures to obtain a completed coarse filter simulation model; the combining the target structures to obtain a completed coarse filter simulation model comprises: combining the target structures based on a preset connection relationship between the target structures to obtain a completed coarse filter simulation model.

2. The method of claim 1, wherein: the adjusting the initial structure parameters based on the structure parameter adjustment instructions to obtain target structures comprising target structure parameters comprises: determining air inlet length stretching parameters based on the air inlet length stretching instructions, and stretching the initial air inlet length of the air inlet simulation structure based on the length stretching parameters to obtain a target air inlet simulation structure after stretching.

3. The method of claim 1, wherein: the adjusting the initial structure parameters based on the structure parameter adjustment instructions to obtain target structures comprising target structure parameters comprises: determining air inlet shape adjustment parameters based on the air inlet shape adjustment instructions, and adjusting the initial shape parameters of the air inlet simulation structure based on the shape adjustment parameters to obtain a target air inlet simulation structure after adjustment.

4. The method of claim 1, wherein: the adjusting the initial structure parameters based on the structure parameter adjustment instructions to obtain target structures comprising target structure parameters comprises: determining air outlet length stretching parameters based on the air outlet length stretching instructions, and stretching the initial air outlet length of the air outlet simulation structure based on the air outlet length stretching parameters to obtain a target air outlet simulation structure after stretching.

5. The method of claim 1, wherein, Before receiving the structure parameter adjustment instructions for the structures, the method further comprises: determining a region inner wall of a preset region in the dust outlet simulation structure, wherein the region inner wall comprises an inner wall boundary layer; correspondingly, the receiving the structure parameter adjustment instructions for the structures and adjusting the initial structure parameters based on the structure parameter adjustment instructions to obtain target structures comprising target structure parameters comprises: receiving an inner wall boundary layer cancellation instruction for the region inner wall, and processing the region inner wall of the dust outlet simulation structure based on the inner wall boundary layer cancellation instruction to obtain a target dust outlet simulation structure after processing.

6. A method of determining a roughing filter efficiency, the method comprising: The coarse filter simulation model is applied to the coarse filter simulation model constructed based on the method of any one of claims 1-5, and comprises: acquire first gas entering the air inlet simulation structure and second gas discharged by the air outlet simulation structure within a preset time interval; determine the rough filtration efficiency of the rough filter simulation model based on the first gas, the second gas, and the simulation compensation parameter.

7. A construction device of a rough filter simulation model, characterized by, comprise: an initial structure acquisition module, configured to acquire initial structures comprising initial structure parameters; wherein each of the initial structures comprises an air inlet simulation structure, an air outlet simulation structure, and a dust discharge outlet simulation structure; a target structure determination module, configured to receive structure parameter adjustment instructions for each of the structures, adjust the initial structure parameters based on the structure parameter adjustment instructions, and obtain target structures comprising target structure parameters; wherein the structure parameter adjustment instructions comprise air inlet length stretching instructions, air inlet shape adjustment instructions, and air outlet length stretching instructions; a rough filter simulation model construction module, configured to combine each of the target structures to obtain a completed rough filter simulation model; the rough filter simulation model construction module is specifically configured to combine each of the target structures based on a preset connection relationship between the target structures to obtain the completed rough filter simulation model.

8. A roughing filter efficiency determination apparatus characterized by, The rough filter simulation model constructed based on the construction method of the rough filter simulation model according to any one of claims 1-5 comprises: a gas acquisition module, configured to acquire first gas entering the air inlet simulation structure and second gas discharged by the air outlet simulation structure within a preset time interval; a rough filtration efficiency determination module, configured to determine a corresponding simulation compensation parameter based on the completed rough filter simulation model, and determine the rough filtration efficiency of the rough filter simulation model based on the first gas, the second gas, and the simulation compensation parameter.

9. An electronic device, comprising: The electronic device comprises: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the construction method of the rough filter simulation model according to any one of claims 1-5, and / or the rough filtration efficiency determination method according to claim 6.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions for enabling the processor to implement the construction method of the rough filter simulation model according to any one of claims 1-5, and / or the rough filtration efficiency determination method according to claim 6 when executed. The computer readable storage medium stores computer instructions for enabling the processor to implement the construction method of the rough filter simulation model according to any one of claims 1-5, and / or the rough filtration efficiency determination method according to claim 6 when executed.

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