CN115099174A - Coarse filter simulation model construction method, coarse filter efficiency determination method and coarse filter efficiency determination device - Google Patents

Coarse filter simulation model construction method, coarse filter efficiency determination method and coarse filter efficiency determination device Download PDF

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CN115099174A
CN115099174A CN202210905287.7A CN202210905287A CN115099174A CN 115099174 A CN115099174 A CN 115099174A CN 202210905287 A CN202210905287 A CN 202210905287A CN 115099174 A CN115099174 A CN 115099174A
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simulation
parameter
coarse filter
target
initial
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刘一杰
袁建军
顾梦辰
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Shanghai Fleetguard Filter Co ltd
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Shanghai Fleetguard Filter Co ltd
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    • G06F30/28—Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
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Abstract

The invention discloses a method for constructing a coarse filter simulation model, a method for determining coarse filtering efficiency and a device. The method comprises the steps of obtaining each initial structure containing initial structure parameters; each initial structure comprises an air inlet simulation structure, an air outlet simulation structure and a dust exhaust port simulation structure; receiving a structural parameter adjusting instruction for each structure, and performing structural parameter adjustment on each initial structural parameter based on the structural parameter adjusting instruction to obtain a target structure containing each target structural parameter; and performing combined processing on each target structure to obtain a constructed coarse filter simulation model. By the technical scheme disclosed by the embodiment of the invention, the applicability of model building is improved, so that the reliability of testing is improved.

Description

Coarse filter simulation model construction method, coarse filter efficiency determination method and coarse filter efficiency determination device
Technical Field
The invention relates to the technical field of coarse filter simulation, in particular to a method for constructing a coarse filter simulation model, a method and a device for determining coarse filtering efficiency.
Background
With the increase of emission requirements, the conventional fuel vehicle needs to improve fuel efficiency as much as possible to reduce energy consumption and exhaust emission, and meet the use requirement of long service life. In order to meet the technical requirements, the coarse filter of the air filter bears higher technical requirements, the structure and the performance of the coarse filter need to be continuously improved, and the air inlet resistance is reduced as much as possible while the air inlet cleanliness is ensured by improving the filtering efficiency. The structure and performance need to be tested continuously in the improvement process, but the test is carried out by adopting actual components, so that the cost is high, and the efficiency is low. In order to efficiently test the prior art, a simulation model is built, the structure and the performance are tested based on the simulation model, and the filtering efficiency is determined.
The difference exists between the existing built model and an actual structure, so that the reliability of the obtained calculation result of the filtering efficiency is low, and the structure and the performance of the vehicle improved based on the simulation model are poor.
Disclosure of Invention
The invention provides a method for constructing a coarse filter simulation model, a method and a device for determining coarse filtering efficiency, and aims to solve the problems that the reliability of an obtained filtering efficiency calculation result is low due to the difference between an existing constructed model and an actual structure, and the applicability of model construction is improved, so that the reliability of a test is improved.
In a first aspect, an embodiment of the present invention provides a method for constructing a coarse filter simulation model, where the method includes:
acquiring each initial structure containing initial structure parameters; each initial structure comprises an air inlet simulation structure, an air outlet simulation structure and a dust exhaust port simulation structure;
receiving a structural parameter adjusting instruction for each structure, and performing structural parameter adjustment on each initial structural parameter based on the structural parameter adjusting instruction to obtain a target structure containing each target structural parameter;
and performing combined processing on each target structure to obtain a constructed coarse filter simulation model.
Optionally, if the structural parameter adjustment instruction includes an intake port length stretching instruction;
correspondingly, the performing structure parameter adjustment on each initial structure parameter based on the structure parameter adjustment instruction to obtain a target structure including each target structure parameter includes:
and determining a length stretching parameter of the air inlet based on the air inlet length stretching instruction, and stretching the initial air inlet length of the air inlet simulation structure based on the length stretching parameter to obtain a stretched target air inlet simulation structure.
Optionally, if the structural parameter adjustment instruction includes an air inlet shape adjustment instruction;
correspondingly, the performing structure parameter adjustment on each initial structure parameter based on the structure parameter adjustment instruction to obtain a target structure including each target structure parameter includes:
determining a shape adjustment parameter for the air inlet based on the air inlet shape adjustment instruction; and adjusting the shape of the initial shape parameter of the air inlet simulation structure based on the shape adjusting parameter to obtain the adjusted target air inlet simulation structure.
Optionally, if the structural parameter adjustment instruction includes an outlet length stretching instruction;
correspondingly, the performing structure parameter adjustment on each initial structure parameter based on the structure parameter adjustment instruction to obtain a target structure including each target structure parameter includes:
and determining a length stretching parameter of the air outlet based on the air outlet length stretching instruction, and stretching the initial air outlet length of the air outlet simulation structure based on the air outlet length stretching parameter to obtain a stretched target air outlet simulation structure.
Optionally, before receiving the structure parameter adjustment instruction for each of the structures, the method further includes:
determining the inner wall of a region of a preset region in the dust exhaust port simulation structure; wherein the zone inner wall comprises an inner wall boundary layer;
correspondingly, the receiving a structural parameter adjustment instruction for each of the structures, and performing structural parameter adjustment on each of the initial structural parameters based on the structural parameter adjustment instruction to obtain a target structure including each of the target structural parameters includes:
and receiving an inner wall boundary layer cancelling instruction for the inner wall of the region, and processing the inner wall of the region of the dust exhaust port simulation structure based on the inner wall boundary layer cancelling instruction to obtain a processed target dust exhaust port simulation structure.
In a second aspect, an embodiment of the present invention further provides a coarse filtration efficiency determination method, which is applied to a coarse filter simulation model constructed by a coarse filter simulation model construction method according to any embodiment, and the method includes:
acquiring a first gas entering the gas inlet simulation structure and a second gas exhausted by the gas outlet simulation structure within a preset time interval;
and determining corresponding simulation compensation parameters based on the constructed coarse filter simulation model, and determining coarse filtering efficiency of the coarse filter simulation model based on the first gas, the second gas and the simulation compensation parameters.
In a third aspect, an embodiment of the present invention further provides a device for constructing a coarse filter simulation model, where the device includes:
the initial structure acquisition module is used for acquiring each initial structure containing initial structure parameters; each initial structure comprises an air inlet simulation structure, an air outlet simulation structure and a dust exhaust port simulation structure;
the target structure determining module is used for receiving a structure parameter adjusting instruction for each structure, and performing structure parameter adjustment on each initial structure parameter based on the structure parameter adjusting instruction to obtain a target structure containing each target structure parameter;
and the coarse filter simulation model building module is used for carrying out combined processing on each target structure to obtain a built coarse filter simulation model.
In a fourth aspect, an embodiment of the present invention further provides a coarse filtration efficiency determination apparatus, which is applied to a coarse filter simulation model constructed based on the coarse filter simulation model construction method according to any embodiment, and the apparatus includes:
the gas acquisition module is used for acquiring first gas entering the gas inlet simulation structure and second gas exhausted by the gas outlet simulation structure within a preset time interval;
and the coarse filtering efficiency determining module is used for determining corresponding simulation compensation parameters based on the constructed coarse filter simulation model, and determining the coarse filtering efficiency of the coarse filter simulation model based on the first gas, the second gas and the simulation compensation parameters.
In a fifth aspect, an embodiment of the present invention further provides an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
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 method for constructing the coarse filter simulation model according to any embodiment of the present invention and/or the method for determining coarse filter efficiency according to any embodiment of the present invention.
In a sixth aspect, the embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium stores computer instructions, and the computer instructions are configured to, when executed, enable a processor to implement the method for constructing a coarse filter simulation model according to any embodiment of the present invention, and/or the method for determining coarse filter efficiency according to any embodiment of the present invention.
According to the technical scheme of the embodiment of the invention, each initial structure containing initial structure parameters is obtained; each initial structure comprises an air inlet simulation structure, an air outlet simulation structure and a dust exhaust port simulation structure; receiving a structural parameter adjusting instruction for each structure, and performing structural parameter adjustment on each initial structural parameter based on the structural parameter adjusting instruction to obtain a target structure containing each target structural parameter; and combining the target structures to obtain the constructed coarse filter simulation model. According to the technical scheme, the simulation structures constructed by the existing coarse filter are obtained, the simulation structures are improved, and the improved target structures are combined to obtain the constructed coarse filter simulation model. The problem of in the model of putting up now with actual structure exist the difference, lead to the computational result reliability of the filtration efficiency that obtains low is solved, the suitability that the improvement model was put up has been realized to the reliability of test improves.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for constructing a coarse filter simulation model according to an embodiment of the present invention;
FIG. 2 is a flow chart of a rough filtration efficiency determination method according to a second embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a device for constructing a simulation model of a coarse filter according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a rough filtration efficiency determining apparatus according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in other sequences than those illustrated or described herein.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
It is understood that before the technical solutions disclosed in the embodiments of the present disclosure are used, the type, the use range, the use scene, etc. of the personal information related to the present disclosure should be informed to the user and obtain the authorization of the user through a proper manner according to the relevant laws and regulations.
For example, in response to receiving a user's active request, prompt information is sent to the user to explicitly prompt the user that the requested operation to be performed would require acquisition and use of personal information to the user. Thus, the user can autonomously select whether to provide personal information to software or hardware such as an electronic device, an application program, a server, or a storage medium that performs the operations of the disclosed technical solution, according to the prompt information.
As an optional but non-limiting implementation manner, in response to receiving an active request from the user, the manner of sending the prompt information to the user may be, for example, a pop-up window, and the prompt information may be presented in a text manner in the pop-up window. In addition, a selection control for providing personal information to the electronic device by the user's selection of "agreeing" or "disagreeing" can be carried in the pop-up window.
It is understood that the above notification and user authorization process is only illustrative and not limiting, and other ways of satisfying relevant laws and regulations may be applied to the implementation of the present disclosure.
It will be appreciated that the data involved in the subject technology, including but not limited to the data itself, the acquisition or use of the data, should comply with the requirements of the corresponding laws and regulations and related regulations.
Example one
Fig. 1 is a flowchart of a method for constructing a coarse filter simulation model according to an embodiment of the present invention, where the method is applicable to a case of constructing a coarse filter simulation model, and the method can be executed by a device for constructing a coarse filter simulation model, the device for constructing a coarse filter simulation model can be implemented in a hardware and/or software manner, and the device for constructing a coarse filter simulation model can be configured in an intelligent terminal and a cloud server. As shown in fig. 1, the method includes:
s110, acquiring each initial structure containing initial structure parameters; wherein, each initial structure includes air inlet simulation structure, gas outlet simulation structure and dust exhaust port simulation structure.
In the embodiment of the invention, in order to improve the improvement efficiency of the coarse filter in the improvement process, an improved coarse filter simulation model is constructed in advance, and if the filtration efficiency of the simulation model is improved, components with the same structural parameters are produced based on the simulation model, so that the improved coarse filter is obtained. Optionally, in order to make the constructed simulation model have higher applicability, each initial structure of the simulation model is basically consistent with the structure of the existing coarse filter. That is, the initial structure in the coarse filter simulation model to be constructed in this embodiment of the structure of the existing coarse filter includes an air inlet simulation structure, an air outlet simulation structure, and a dust exhaust port simulation structure.
Specifically, the manner of obtaining each initial structure may include: and collecting all components contained in the existing coarse filter, and establishing a simulation structure of each component as an initial structure of the simulation model. Optionally, the acquired component parameters of each component may be used as the initial structure parameters of the initial structure. It should be explained that there are many types of strainers in the prior art, and any type of strainer can be selected as a prototype of the simulation structure. In other words, the initial structure in this embodiment may be specifically determined according to different types of strainers in the prior art, and the corresponding initial structure parameters may also be specifically determined according to the parameters of each component, which is not limited in this embodiment.
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 certainly, the method may also be obtained based on other manners, and this embodiment does not limit this.
And S120, receiving a structural parameter adjusting instruction for each structure, and adjusting the structural parameters of each initial structural parameter based on the structural parameter adjusting instruction to obtain a target structure containing each target structural parameter.
In the embodiment of the present invention, it is necessary to improve each initial structure first to obtain an improved target structure, and then obtain an improved coarse filter simulation model based on the target structure. Specifically, the method for improving the initial structure may include obtaining a target structure corresponding to each initial structure by improving initial structure parameters corresponding to each initial structure. It should be noted that, for different initial structures, different structure parameter adjustment instructions need to be input, so as to obtain target structures corresponding to the initial structures, respectively.
Optionally, for the air inlet simulation structure, the structural parameter adjusting instruction includes an air inlet shape adjusting instruction; correspondingly, the method for adjusting the structural parameters of each initial structural parameter based on the structural parameter adjustment instruction to obtain the target structure containing each target structural parameter may include: determining a shape adjustment parameter for the air inlet based on the air inlet shape adjustment instruction; and adjusting the shape of the initial shape parameter of the air inlet simulation structure based on the shape adjusting parameter to obtain the adjusted target air inlet simulation structure.
It should be noted that the shape adjustment command may be understood as adjusting the shape of the intake port simulation structure, for example, adjusting the surface injection to the cone injection. Of course, the shape of the air inlet simulation structure may be adjusted in other ways, which is not limited in this respect.
Specifically, when the received air inlet shape adjustment instruction is to adjust the shape of the air inlet to a conical air inlet, the shape adjustment parameter is determined to be the conical degree of conical injection, and optionally, the conical degree can be adjusted according to different test modes. And correspondingly, carrying out shape adjustment on the air inlet simulation model based on the shape adjustment instruction to obtain the adjusted target air inlet simulation shape.
In this embodiment, the conical ejection opening is selected to simulate the movement track of dust entering the duct more truly. The air inlet shape of the existing air inlet simulation structure is mostly surface injection, and the motion track of dust entering an air filter under the simulation structure is too ideal, so that the calculation result is distorted; in the embodiment, the movement track of the dust sprayed by the conical spray opening is different from the movement track of the particles of the surface sprayer, so that the dust is more fit with the real working condition. And the parameters of the conical ejection opening in the embodiment can be adjusted according to the pipe diameter of the inlet of the air inlet simulation structure. Illustratively, the inlet angle adjusting range can be 0.1-0.6, and the outlet angle adjusting range can be 2-10.
Optionally, for the air inlet simulation structure, the structural parameter adjustment instruction further includes an air inlet length stretching instruction; correspondingly, the method for adjusting the structural parameters of each initial structural parameter based on the structural parameter adjustment instruction to obtain the target structure containing each target structural parameter may include: determining a length stretching parameter of the air inlet based on the air inlet length stretching instruction, and stretching the initial air inlet length of the air inlet simulation structure based on the length stretching parameter to obtain a stretched target air inlet simulation structure.
Specifically, if the intake port length stretching instruction for adjusting the intake port simulation structure is to stretch the intake port simulation structure by a length of 6D, it is determined that the length stretching parameter is 6D. Correspondingly, stretching operation is carried out on the air inlet simulation structure based on the length stretching parameter, and the stretched target air inlet simulation length is obtained.
Optionally, for the air outlet simulation structure, the structural parameter adjusting instruction includes an air outlet length stretching instruction; correspondingly, the method for adjusting the structural parameters of each initial structural parameter based on the structural parameter adjustment instruction to obtain the target structure containing each target structural parameter may include: and determining a length stretching parameter of the air outlet based on the air outlet length stretching instruction, and stretching the initial air outlet length of the air outlet simulation structure based on the length stretching parameter to obtain a stretched target air outlet simulation structure.
Specifically, if the outlet length stretching instruction for adjusting the outlet simulation structure is to stretch the outlet simulation structure by a length of 4D, the length stretching parameter is determined to be 4D. Correspondingly, stretching operation is carried out on the air outlet simulation structure based on the length stretching parameter, and the stretched target air outlet simulation length is obtained.
It should be noted that, in the process of performing the stretching operation on the air inlet simulation structure and the air outlet simulation structure, the stretching operation may be performed in a gradual change type, and the beneficial effects of the above operations are to improve the calculation stability, thereby saving the calculation time and improving the calculation efficiency.
According to the technical scheme of the embodiment, before the structural parameter adjusting instruction for each structure is received, the inner wall of the area of the preset area in the dust exhaust port simulation structure is also determined; wherein the zone inner wall comprises an inner wall boundary layer. Alternatively, the predetermined area may be understood as the area of the fluid field where the dust particles are in contact with the fluid space. Because boundary layers exist on the inner walls of the fluid domain areas of the existing dust exhaust port simulation structure, 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 eliminating the boundary layers is provided.
Optionally, the method for receiving a structural parameter adjustment instruction for each structure, and performing structural parameter adjustment on each initial structural parameter based on the structural parameter adjustment instruction to obtain a target structure including each target structural parameter may include: and receiving an inner wall boundary layer cancelling instruction for the inner wall of the region, and processing the inner wall of the region of the dust exhaust port simulation structure based on the inner wall boundary layer cancelling instruction to obtain a processed target dust exhaust port simulation structure.
In particular, in this embodiment, the fluid area where the dust particles are in contact with the fluid space is specially treated, i.e. the boundary layer is set to be eliminated. The reason is that after fine dust enters the air filter, because the mass of dust particles is small enough, the dust particles are driven by airflow to be subjected to centrifugal force and radial component force, and the dust can make spiral motion in the air filter along with the inner wall of the air filter based on the two forces. The purpose of eliminating the boundary layer is to eliminate the influence of the boundary layer on tiny dust, so that simulation is as close to the real working condition as possible, and the simulation precision is improved.
And S130, combining the target structures to obtain a constructed coarse filter simulation model.
In the embodiment of the invention, each initial structure is improved based on the received structure parameter adjusting instruction to obtain each target structure, and then each target structure is combined to obtain the constructed coarse filter simulation model.
Specifically, when a combination instruction for each target structure is received, the target structures are combined based on a preset connection relationship between the target structures, so that a constructed coarse filter simulation model is obtained.
According to the technical scheme of the embodiment of the invention, each initial structure containing initial structure parameters is obtained; each initial structure comprises an air inlet simulation structure, an air outlet simulation structure and a dust exhaust port simulation structure; receiving a structural parameter adjusting instruction for each structure, and performing structural parameter adjustment on each initial structural parameter based on the structural parameter adjusting instruction to obtain a target structure containing each target structural parameter; and combining the target structures to obtain the constructed coarse filter simulation model. According to the technical scheme, the simulation structures constructed by the existing coarse filter are obtained, the simulation structures are improved, and the improved target structures are combined to obtain the constructed coarse filter simulation model. The problem of in the model of putting up now with actual structure exist the difference, lead to the computational result reliability of the filtration efficiency that obtains low is solved, the suitability that the improvement model was put up has been realized to the reliability of test improves.
Example two
Fig. 2 is a flowchart of a coarse filtration efficiency determination method according to a second embodiment of the present invention, which is applicable to a case of determining coarse filtration efficiency of a coarse filtration simulation model, and the method may be implemented by a coarse filtration efficiency determination device, where the coarse filtration efficiency determination device may be implemented in a form of hardware and/or software, and the coarse filtration efficiency determination device may be configured in an intelligent terminal and a cloud server. As shown in fig. 2, the method includes:
s210, in a preset time interval, first gas entering the gas inlet simulation structure and second gas exhausted from the gas outlet simulation structure are obtained.
The first gas may be air dust or the like to be filtered. The second gas can be understood as the gas output by the filter, i.e. the gas obtained after the first gas has been filtered.
Specifically, a first gas and a second gas are obtained, and the rough filtering efficiency of the simulation model is calculated based on the first gas and the second gas.
S220, determining corresponding simulation compensation parameters based on the constructed coarse filter simulation model, and determining coarse filtering efficiency of the coarse filter simulation model based on the first gas, the second gas and the simulation compensation parameters.
In the embodiment of the invention, the simulation compensation coefficient can be understood as a compensation coefficient generated in order to repair energy loss caused by friction between dust and a wall surface when the dust moves on the inner wall of the air filter in the process of calculating the rough filtration efficiency, even if the simulation calculation for calculating the rough filtration efficiency is more fit with the actual working condition. Determining the model based on different coarse filtering efficiencies generates different simulation compensation coefficients. Optionally, for the lagrangian model, the simulation compensation coefficient specifically includes a wall tangent compensation coefficient and a wall normal phase compensation coefficient, and specifically, the wall tangent compensation coefficient and the wall normal phase compensation coefficient may be adjusted according to different inner diameter sizes, and the wall tangential compensation coefficient and the wall normal compensation coefficient may cause different energy loss errors due to the difference between the dust incident angle and the air filter inner diameter. Illustratively, the value range of the wall surface tangential compensation coefficient is 0.3-0.4; the value of the normal compensation coefficient of the wall surface is 0.6-0.7. Of course, other value ranges can be selected according to actual situations, and the implementation does not limit the value ranges.
Specifically, when a rough filtration efficiency determination model for performing rough filtration efficiency calculation and a corresponding simulation compensation coefficient are determined, the first gas, the second gas, and the simulation compensation coefficient are input to the determined rough filtration efficiency determination model, and rough filtration efficiency of the rough filter simulation model constructed in each of the above embodiments output by the model is obtained.
The technical scheme of the implementation of the invention specifically comprises the steps of acquiring a first gas entering from a gas inlet simulation structure and a second gas discharged from a gas outlet simulation structure within a preset time interval; and determining corresponding simulation compensation parameters based on the constructed coarse filter simulation model, and determining coarse filtering efficiency of the coarse filter simulation model based on the first gas, the second gas and the simulation compensation parameters. According to the technical scheme, the process of the coarse filtering efficiency of the determined coarse filter simulation model is closer to the real power through the set simulation compensation coefficient, and the reliability of the coarse filtering efficiency is improved.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a device for constructing a coarse filter simulation model according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes: an initial structure acquisition module 310, a target structure determination module 320, and a coarse filter simulation model construction module 330; wherein the content of the first and second substances,
an initial structure obtaining module 310, configured to obtain each initial structure including initial structure parameters; each initial structure comprises an air inlet simulation structure, an air outlet simulation structure and a dust exhaust port simulation structure;
a target structure determining module 320, configured to receive a structure parameter adjustment instruction for each structure, and perform structure parameter adjustment on each initial structure parameter based on the structure parameter adjustment instruction, to obtain a target structure including each target structure parameter;
and a coarse filter simulation model building module 330, configured to perform combination processing on each target structure to obtain a built coarse filter simulation model.
On the basis of the foregoing embodiments, optionally, if the structural parameter adjustment instruction includes an intake port length stretching instruction;
accordingly, the target structure determination module 320 includes:
and the first target air inlet simulation structure determining unit is used for determining a length stretching parameter of the air inlet based on the air inlet length stretching instruction, and stretching the initial air inlet length of the air inlet simulation structure based on the length stretching parameter to obtain a stretched target air inlet simulation structure.
On the basis of the foregoing embodiments, optionally, if the structural parameter adjustment instruction includes an air inlet shape adjustment instruction;
accordingly, the target structure determination module 320 includes:
a second target air inlet simulation structure determination unit for determining a shape adjustment parameter of the air inlet based on the air inlet shape adjustment instruction; and adjusting the shape of the initial shape parameter of the air inlet simulation structure based on the shape adjusting parameter to obtain the adjusted target air inlet simulation structure.
On the basis of the foregoing embodiments, optionally, if the structural parameter adjustment instruction includes an air outlet length stretching instruction;
accordingly, the target structure determination module 320 includes:
and the target air outlet simulation structure determining unit is used for determining the length stretching parameter of the air outlet based on the air outlet length stretching instruction, and stretching the initial air outlet length of the air outlet simulation structure based on the air outlet length stretching parameter to obtain a stretched target air outlet simulation structure.
On the basis of the foregoing embodiments, optionally, the apparatus further includes:
the area inner wall determining module is used for determining the area inner wall of a preset area in the dust exhaust port simulation structure before receiving a structural parameter adjusting instruction for each structure; wherein the zone inner wall comprises an inner wall boundary layer;
accordingly, the target structure determination module 320 includes:
and receiving an inner wall boundary layer cancelling instruction for the inner wall of the region, and processing the inner wall of the region of the dust exhaust port simulation structure based on the inner wall boundary layer cancelling instruction to obtain a processed target dust exhaust port simulation structure.
The device for constructing the coarse filter simulation model provided by the embodiment of the invention can execute the method for constructing the coarse filter simulation model provided by any embodiment of the invention, and has corresponding functional structures and beneficial effects of the execution method.
Example four
Fig. 4 is a schematic structural diagram of a rough filtration efficiency determining apparatus according to a fourth embodiment of the present invention. As shown in fig. 4, the apparatus includes: a gas acquisition module 410 and a coarse filtration efficiency determination module 420; wherein the content of the first and second substances,
a gas obtaining module 410, configured to obtain, within a preset time interval, a first gas entering the gas inlet simulation structure and a second gas exhausted from the gas outlet simulation structure;
a coarse filtration efficiency determination module 420, configured to determine a corresponding simulation compensation parameter based on the constructed coarse filter simulation model, and determine a coarse filtration efficiency of the coarse filter simulation model based on the first gas, the second gas, and the simulation compensation parameter.
The rough filtration efficiency determining device provided by the embodiment of the invention can execute the rough filtration efficiency determining method provided by any embodiment of the invention, and has corresponding functional structures and beneficial effects of the executing method.
EXAMPLE five
FIG. 5 illustrates a schematic diagram of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, 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 meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 5, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM)12, a Random Access Memory (RAM)13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM)12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having 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 specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 11 executes the respective methods and processes described above, such as the construction method of the rough filter simulation model, and/or the rough filtering efficiency determination method.
In some embodiments, the method of constructing the coarse filter simulation model, and/or the coarse filtering efficiency determination method, may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the coarse filter simulation model building method described above, and/or the coarse filtering efficiency determination method, may be performed. Alternatively, in other embodiments, processor 11 may be configured by any other suitable means (e.g., by means of firmware) to perform the coarse filter simulation model building method, and/or the coarse filtering efficiency determination method.
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may 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 may 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, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, 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.
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 a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user may provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; 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 may be received in any form, including acoustic, speech, or tactile input.
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: local Area Networks (LANs), Wide Area Networks (WANs), blockchain networks, and the Internet.
The computing system may 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 called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A method for constructing a coarse filter simulation model is characterized by comprising the following steps:
acquiring each initial structure containing initial structure parameters; each initial structure comprises an air inlet simulation structure, an air outlet simulation structure and a dust exhaust port simulation structure;
receiving a structural parameter adjusting instruction for each structure, and performing structural parameter adjustment on each initial structural parameter based on the structural parameter adjusting instruction to obtain a target structure containing each target structural parameter;
and performing combined processing on each target structure to obtain a constructed coarse filter simulation model.
2. The method of claim 1, wherein if the structural parameter adjustment command comprises an inlet length stretch command;
correspondingly, the performing structure parameter adjustment on each initial structure parameter based on the structure parameter adjustment instruction to obtain a target structure including each target structure parameter includes:
and determining a length stretching parameter of the air inlet based on the air inlet length stretching instruction, and stretching the initial air inlet length of the air inlet simulation structure based on the length stretching parameter to obtain a stretched target air inlet simulation structure.
3. The method of claim 1, wherein if the structural parameter adjustment instruction comprises an air inlet shape adjustment instruction;
correspondingly, the performing structure parameter adjustment on each initial structure parameter based on the structure parameter adjustment instruction to obtain a target structure including each target structure parameter includes:
determining a shape adjustment parameter for the air inlet based on the air inlet shape adjustment instruction; and adjusting the shape of the initial shape parameter of the air inlet simulation structure based on the shape adjusting parameter to obtain an adjusted target air inlet simulation structure.
4. The method of claim 1, wherein if the structural parameter adjustment instructions comprise outlet length stretch instructions;
correspondingly, the performing structure parameter adjustment on each initial structure parameter based on the structure parameter adjustment instruction to obtain a target structure including each target structure parameter includes:
and determining a length stretching parameter of the air outlet based on the air outlet length stretching instruction, and stretching the initial air outlet length of the air outlet simulation structure based on the air outlet length stretching parameter to obtain a stretched target air outlet simulation structure.
5. The method of claim 1, further comprising, prior to receiving a structure parameter adjustment command for each of the structures:
determining the inner wall of a region of a preset region in the dust exhaust port simulation structure; wherein the zone inner wall comprises an inner wall boundary layer;
correspondingly, the receiving a structural parameter adjustment instruction for each structure, and performing structural parameter adjustment on each initial structural parameter based on the structural parameter adjustment instruction to obtain a target structure including each target structural parameter includes:
and receiving an inner wall boundary layer cancelling instruction for the inner wall of the region, and processing the inner wall of the region of the dust exhaust port simulation structure based on the inner wall boundary layer cancelling instruction to obtain a processed target dust exhaust port simulation structure.
6. A rough filtration efficiency determination method applied to a rough filtration simulation model constructed based on the rough filtration simulation model construction method according to any one of claims 1 to 5, comprising:
acquiring a first gas entering the gas inlet simulation structure and a second gas exhausted by the gas outlet simulation structure within a preset time interval;
and determining corresponding simulation compensation parameters based on the constructed coarse filter simulation model, and determining coarse filtering efficiency of the coarse filter simulation model based on the first gas, the second gas and the simulation compensation parameters.
7. A construction device of a coarse filter simulation model is characterized by comprising the following steps:
the initial structure acquisition module is used for acquiring each initial structure containing initial structure parameters; each initial structure comprises an air inlet simulation structure, an air outlet simulation structure and a dust exhaust port simulation structure;
the target structure determining module is used for receiving a structure parameter adjusting instruction for each structure, and performing structure parameter adjustment on each initial structure parameter based on the structure parameter adjusting instruction to obtain a target structure containing each target structure parameter;
and the coarse filter simulation model building module is used for carrying out combined processing on each target structure to obtain a built coarse filter simulation model.
8. A rough filtration efficiency determination apparatus applied to a rough filter simulation model constructed based on the method of constructing a rough filter simulation model according to any one of claims 1 to 5, comprising:
the gas acquisition module is used for acquiring first gas entering the gas inlet simulation structure and second gas exhausted by the gas outlet simulation structure within a preset time interval;
and the coarse filtering efficiency determining module is used for determining corresponding simulation compensation parameters based on the constructed coarse filter simulation model, and determining the coarse filtering efficiency of the coarse filter simulation model based on the first gas, the second gas and the simulation compensation parameters.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the method of constructing a coarse filter simulation model of any of claims 1-5 and/or the method of determining coarse filter efficiency of claim 6.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores computer instructions for causing a processor to execute a method of constructing a coarse filter simulation model according to any one of claims 1 to 5 and/or a method of determining coarse filter efficiency according to claim 6.
CN202210905287.7A 2022-07-29 2022-07-29 Coarse filter simulation model construction method, coarse filter efficiency determination method and coarse filter efficiency determination device Pending CN115099174A (en)

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