Method and equipment for analyzing airflow motion distribution and virus distribution on mask and medium

Abstract

The invention discloses an analysis method and device for airflow motion distribution and virus distribution on a mask and a medium, and relates to the technical field of public health, and the method comprises the steps: constructing a three-dimensional face model and a mask model according to three-dimensional modeling design software, and extracting an air domain formed by the mask and a face; performing computational fluid dynamics simulation on an air domain formed by the mask and the face by using computational fluid dynamics software to obtain a simulation result; comprehensively analyzing the airflow motion distribution on the mask, and calculating the virus distribution rule of the virus particles on the mask; and based on the virus distribution rule, optimizing the material and the structure of the mask. The problems that design optimization of a mask structure is limited, and the mask protection performance is low are solved.

Description

Technical Field

[0001] The present application relates to the field of public health technology, and in particular to an analysis method, equipment and medium for airflow movement distribution and virus distribution on a mask. Background Art

[0002] In the current global public health field, personal protective equipment, especially masks, has become a key tool for preventing the spread of respiratory diseases. With the in-depth understanding of the virus transmission mechanism, the role of masks in blocking the spread of virus particles has received increasing attention. Although there are many types of masks on the market, most products have technical problems in design, such as insufficient protective performance, poor breathability, and uncomfortable wearing. These problems limit the use experience and protective effect of masks.

[0003] Polypropylene meltblown cloth is the core filter layer of the mask. Although the technology is relatively mature, researchers are still exploring ways to improve its protective ability while reducing filtration resistance, improving liquid-proof performance and shape retention. Therefore, the existing technology lacks an in-depth understanding of the airflow movement on the mask. The uneven distribution of airflow on the mask may cause virus particles to gather in certain areas of the mask, reducing the overall protective effect, thereby limiting the design optimization of the mask structure and the improvement of the mask's protective performance. Summary of the invention

[0004] The purpose of this application is to provide an analysis method, equipment and medium for airflow movement distribution and virus distribution on a mask, so as to solve the problem that the design optimization of the mask structure is limited and the protective performance of the mask is low.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In a first aspect, the present application provides a method for analyzing airflow movement distribution and virus distribution on a mask, comprising:

[0007] According to the 3D modeling design software, a 3D face model and a mask model are constructed, and the air domain formed by the mask and the face is extracted;

[0008] Using computational fluid dynamics software to perform computational fluid dynamics simulation on the air domain formed by the mask and the human face to obtain a simulation result; the simulation result is the airflow movement distribution on the mask;

[0009] Comprehensively analyze the airflow movement distribution on the mask and infer the virus distribution pattern of virus particles on the mask;

[0010] Based on the virus distribution pattern, the material and structure of the mask are optimized.

[0011] In a second aspect, the present application provides a computer device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described method for analyzing the airflow movement distribution and virus distribution on the mask.

[0012] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned method for analyzing the airflow movement distribution and virus distribution on the mask.

[0013] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0014] The present application provides an analysis method, equipment and medium for the distribution of airflow movement and virus distribution on a mask. The present application constructs a three-dimensional face model and a mask model according to a three-dimensional modeling design software to extract the air domain formed by the mask and the face, which can effectively limit the simulation range and improve the calculation accuracy of the simulation results in the subsequent simulation and analysis of the distribution of airflow movement on the mask. Then, computational fluid dynamics software is used to perform computational fluid dynamics simulation on the air domain formed by the mask and the face to obtain accurate simulation results, which can realize testing and optimizing the mask design in a virtual environment, reduce the experimental cost and the investment of manpower and material resources, and improve the flexibility of mask design. Finally, the distribution of airflow movement on the mask is comprehensively analyzed, and the virus distribution law of virus particles on the mask is calculated, and based on the virus distribution law of virus particles on the mask, the material and structure of the mask are optimized and designed, and the design and optimization of the mask are efficiently realized, and the protective performance of the mask is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 A schematic diagram of a flow chart of an analysis method for airflow movement distribution and virus distribution on a mask provided in an embodiment of the present application;

[0017] Figure 2 A simulation analysis flow chart provided in an embodiment of the present application;

[0018] Figure 3 This is a streamline diagram of airflow distribution on a mask provided in an embodiment of the present application;

[0019] Figure 4 This is a vector diagram of airflow distribution on a mask provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0021] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0022] like Figure 1 and Figure 2 As shown, the present application provides a method for analyzing airflow movement distribution and virus distribution on a mask, including:

[0023] Step 101: Construct a 3D face model and a mask model according to 3D modeling design software, and extract the air domain formed by the mask and the face.

[0024] Among them, the 3D face model and mask model are geometric models. During the geometric model construction stage, a high-performance computer equipped with 3D modeling design software (SolidWorks) is used to build a detailed 3D face model and mask model based on ergonomic principles (the mask model is built based on common mask designs, including its shape, size and material properties). The accuracy of the geometric model is ensured so that the subsequent simulation results can truly reflect the spatial relationship between the mask and the wearer's face.

[0025] In some embodiments, step 101 specifically includes: extracting the air domain formed by the mask and the face using Boolean operations based on the three-dimensional face model and the mask model.

[0026] In order to simulate the airflow exchange inside and outside the mask, Boolean operations are used to extract the air domain formed by the mask and the face, which can simplify the complexity of the model and improve the calculation efficiency without affecting the simulation accuracy. In this process, the nasal cavity model is omitted, and only the nostrils are retained as the channel for the airflow to exchange mass and momentum with the outside world.

[0027] Step 102: Use computational fluid dynamics software to perform computational fluid dynamics simulation on the air domain formed by the mask and the human face to obtain a simulation result; the simulation result is the airflow movement distribution on the mask.

[0028] Among them, computational fluid dynamics (CFD) simulation is a computer simulation technology that uses numerical methods to solve fluid dynamics equations.

[0029] In some embodiments, step 102 specifically includes: gridding the air domain formed by the mask and the human face to determine the gridded air domain; solving the Navier-Stokes equations in the computational fluid dynamics software according to the gridded air domain, the physical model and boundary conditions in the computational fluid dynamics software to obtain the equation calculation results; wherein the boundary conditions are the external atmospheric pressure and the pressure of the exhaled gas from the human nasal cavity; and visualizing the equation calculation results based on the computational fluid dynamics software to determine the simulation results.

[0030] Among them, meshing is a key step in CFD simulation, which directly affects the accuracy and efficiency of CFD simulation. This application uses professional mesh generation software to mesh the air domain formed by the mask and the face, and generates a grid system suitable for fluid simulation. In order to improve the calculation accuracy and efficiency, a strategy of mixed division of tetrahedral mesh and hexahedral mesh is adopted. Inside the air domain, tetrahedral mesh is used to better adapt to complex geometric shapes. Near the boundary of the air domain, hexahedral mesh is used to reduce the amount of calculation and improve the calculation accuracy.

[0031] In practical applications, the number of grids is about 300,000, while keeping the grid quality within the set threshold, providing a high-quality discretized computational domain for CFD simulation, thereby ensuring the accuracy and stability of the simulation results.

[0032] Specifically, in CFD simulation, the setting of boundary conditions is crucial to the accuracy of simulation results. Among them, the CFD software used for CFD simulation can be ANSYS Fluent. First, the air domain formed by the mask and the human face is imported into ANSYS Fluent. Then, according to the physiological data of normal human breathing, the boundary conditions of the simulation are set. The inlet velocity (Velocity) is set according to the average flow velocity during human breathing, and the outlet velocity uses the Pressure outlet boundary condition to simulate the pressure difference between the oral cavity or nasal cavity and the outside world during breathing. When simulating exhalation and inhalation, the boundary conditions of the inlet and outlet cavities are swapped to simulate the complete breathing cycle and truly reflect the conditions of the airflow inlet and outlet cavities when wearing a mask. Among them, the inlet velocity refers to the average flow velocity of the gas when the human body breathes, and the physiological data are the number of breaths per minute, tidal volume, pressure, etc. of different people.

[0033] In addition, the physical model in the computational fluid dynamics software can use the K-epsilon Realizable turbulence model to set fluid properties such as density, viscosity, etc., as well as turbulence model parameters to simulate the airflow dynamics when wearing a real mask, providing accurate boundary conditions for subsequent numerical calculations.

[0034] In the calculation submission stage of ANSYS Fluent, the physical model can select the steady-state model for calculation to ensure the stability of the simulation results. Furthermore, the solver parameters are configured, including the SIMPLE algorithm and the Second Order Upwind interpolation method. The Navier-Stokes equation is solved to obtain the equation calculation results.

[0035] In some embodiments, step 102 also includes: setting a convergence threshold in the computational fluid dynamics software; subtracting the simulation result from the actual observed airflow motion distribution on the mask to obtain a residual result; comparing whether the residual result is less than or equal to the convergence threshold to obtain a first result; if the first result is yes, determining that the simulation result converges; if the first result is no, determining that the simulation result has not converged, and returning to the step of "using computational fluid dynamics software to perform computational fluid dynamics simulation on the air domain formed by the mask and the face to obtain a simulation result" until the residual result is less than or equal to the convergence threshold.

[0036] In order to ensure the accuracy and reliability of the simulation results, the criterion for computational convergence, namely the convergence threshold, is set in ANSYS Fluent. Specifically, when the residual result reaches the convergence threshold, the calculation is considered to have converged. This ensures the stability and credibility of the simulation results. During the calculation process, ANSYS Fluent fluid dynamics simulation software automatically solves the Navier-Stokes equations to simulate the airflow motion distribution on the mask.

[0037] Furthermore, after solving the Navier-Stokes equations, the post-processing analysis of ANSYS Fluent is used to visualize the equation calculation results and determine the simulation results, such as Figure 3 and Figure 4 shown.

[0038] Among them, in the field of CFD simulation, in addition to ANSYS Fluent, there are other software, such as MFiX and OpenFOAM, which also have powerful fluid dynamics simulation capabilities and can be used to simulate and analyze the airflow movement distribution on the mask.

[0039] Step 103: Comprehensively analyze the airflow movement distribution on the mask and infer the virus distribution pattern of virus particles on the mask.

[0040] Step 104: Based on the virus distribution pattern, optimize the material and structure of the mask.

[0041] In some embodiments, step 104 specifically includes: determining areas with dense virus particles based on the virus distribution pattern; optimizing the material and structure of the mask based on the areas with dense virus particles and the filtering efficiency of the mask material.

[0042] In some embodiments, step 104 specifically includes steps 201 to 204:

[0043] Step 201: Calculate the flow rate proportion of each area on the mask according to the velocity distribution and flow rate distribution in the airflow motion distribution on the mask; wherein each area on the mask is divided based on five-point sampling;

[0044] Step 202: Calculate the concentration of virus particles in each area of ​​the mask according to the flow rate ratio of each area on the mask and the initial concentration of virus particles; the initial concentration of virus particles is the concentration obtained under the assumption that the virus particles are uniformly distributed in the exhaled gas of the human nasal cavity;

[0045] Step 203: Calculate the amount of virus particles deposited in each area of ​​the mask according to the penetration rate of virus particles through the mask and the concentration of virus particles in each area of ​​the mask;

[0046] Step 204: Determine the virus distribution pattern of the virus particles on the mask based on the virus particle concentration in each area on the mask and the virus particle deposition amount in each area on the mask.

[0047] In some embodiments, step 201 specifically includes:

[0048] according to Calculate the flow rate of each area on the mask; where Q i is the flow rate proportion of the ith area in the mask, Q dA is the flow distribution through the small area element dA; A i is the i-th area in the mask; total is the entire mask area.

[0049] In some embodiments, step 202 specifically includes steps 301 to 304:

[0050] Step 301: According to C i =C 0 Q i Calculate the concentration of virus particles in each area of ​​the mask; where C i is the concentration of virus particles in the ith area of ​​the mask; C 0 is the initial concentration of virus particles;

[0051] Step 302: Calculate the amount of virus particles deposited in each area of ​​the mask according to the penetration rate of virus particles through the mask and the concentration of virus particles in each area of ​​the mask, specifically including:

[0052] Step 303: According to P i =1-η to calculate the penetration rate of the virus particles through the mask; where P i is the penetration rate of virus particles in the ith region of the mask through the mask; η is the filtration efficiency of the mask material;

[0053] Step 304: According to D i =C i ·A i ·(1-P i ) calculates the amount of virus particles deposited in each area of ​​the mask; wherein Di is the amount of virus particles deposited in the i-th area of ​​the mask.

[0054] In practical applications, based on the transmission characteristics of the virus and its distribution characteristics in the exhaled gas, combined with the protective mechanism of the mask, the simulation results were comprehensively analyzed to infer the flow direction of the virus and the distribution pattern on the mask. We assume that the virus particles are evenly distributed in the exhaled gas and move with the airflow. Then, based on the airflow velocity distribution and flow distribution information obtained from the simulation, the flow direction of the virus and the distribution pattern on the mask were accurately inferred. This provides a scientific basis for the design and optimization of masks.

[0055] Based on CFD simulation, this application identifies the areas where virus particles are concentrated on the mask, and optimizes the materials and structures in a targeted manner. For example, finer nanotechnology materials are used to improve filtration efficiency. At the same time, adding a coating with antibacterial and antiviral functions can effectively reduce the activity of the virus and reduce its retention and penetration on the mask. In addition, the pore structure of the mask can be optimized to maintain good air permeability and ensure comfort when wearing. At the same time, by adjusting the shape of the mask and adding a sealing strip, the fit and sealing performance of the mask are further improved, and the protective performance is maximized.

[0056] Through simulation results, when designing new mask materials, more dense nanotechnology materials are used in areas with large airflow and high virus content to improve filtration efficiency. At the same time, a coating with antibacterial and antiviral functions is added to effectively reduce the activity of the virus and reduce its retention and penetration on the mask.

[0057] This application uses advanced CFD simulation technology to establish a geometric model of a person wearing a mask, simulate the movement trajectory and flow distribution of the exhaled airflow between the mask and the human face and on the inside of the mask, and infer the flow direction of the virus and its distribution pattern on the mask. Based on these analyses, the selection of mask materials is optimized, a differentiated structural design is achieved, its filtration efficiency is enhanced in areas with dense virus distribution, and antibacterial and antiviral properties are integrated. It not only improves the virus filtration efficiency, but also reduces the retention and penetration of virus particles on the mask, while ensuring good air permeability and wearing comfort, providing a safer and more efficient personal protection solution. This application aims to promote the development of mask technology to better respond to public health challenges. It has the following advantages:

[0058] 1. Highly efficient airflow simulation and optimization: CFD simulation is used, and a hybrid meshing strategy (tetrahedral and hexahedral meshing) is adopted to significantly improve the computational efficiency while improving the computational accuracy. It can quickly simulate and analyze the dynamic characteristics of the airflow inside the mask, thereby obtaining the airflow motion distribution on the mask. Compared with traditional experimental methods, this simulation method greatly shortens the test time and improves work efficiency, thereby accelerating the iteration speed of mask design and optimization.

[0059] 2. High-precision simulation results and comprehensive performance evaluation: The airflow movement distribution on the mask includes the flow direction, speed, pressure distribution, etc. This high-precision simulation result provides scientific and accurate data support for the evaluation and optimization of the virus protection performance of the mask.

[0060] 3. Comprehensive performance evaluation: Combined with the flow and distribution of the virus, the simulation results are comprehensively evaluated on the virus protection performance of the mask. This comprehensive evaluation method helps to find possible weak links in the mask design and more accurately deduce the flow and distribution of the virus on the mask.

[0061] 4. Reduce costs: Compared with traditional experimental testing and market research, CFD simulation has the advantages of low cost and high work efficiency. It reduces the dependence on physical prototypes, reduces experimental costs and investment in manpower and material resources, and makes it possible to quickly test the performance of masks.

[0062] 5. Improve design flexibility: Through CFD simulation, designers can test and optimize mask designs in a virtual environment without having to manufacture multiple physical prototypes. This approach improves design flexibility and allows designers to quickly iterate and improve designs to find the best solution.

[0063] The above advantages are mainly due to the combined effect of CFD simulation technology, hybrid meshing strategy, virus flow and distribution inference, and optimized mask design. It has obvious technical advantages and application value.

[0064] In an exemplary embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the above method is implemented when the processor executes the computer program.

[0065] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and the computer program implements the above method when executed by a processor.

[0066] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0067] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRdM), magnetic random access memory (MRdM), ferroelectric random access memory (FRdM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RdM) or external cache memory, etc. By way of illustration and not limitation, RdM may be in various forms, such as static random access memory (SRdM) or dynamic random access memory (DRdM).

[0068] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0069] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0070] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for analyzing airflow distribution and virus distribution on a mask, characterized in that: include: According to the 3D modeling design software, a 3D face model and a mask model are constructed, and the air domain formed by the mask and the face is extracted; Using computational fluid dynamics software to perform computational fluid dynamics simulation on the air domain formed by the mask and the human face to obtain a simulation result; the simulation result is the airflow movement distribution on the mask; Comprehensively analyze the airflow movement distribution on the mask and infer the virus distribution pattern of virus particles on the mask; Based on the virus distribution pattern, the material and structure of the mask are optimized.

2. The method for analyzing airflow movement distribution and virus distribution on a mask according to claim 1, characterized in that: Computational fluid dynamics software is used to perform computational fluid dynamics simulation on the air domain formed by the mask and the human face to obtain simulation results, specifically including: Meshing the air domain formed by the mask and the face to determine the air domain after meshing; Solving the Navier-Stokes equation in the computational fluid dynamics software according to the air domain after the grid division, the physical model and boundary conditions in the computational fluid dynamics software to obtain the equation calculation result; wherein the boundary conditions are the external atmospheric pressure and the pressure of the exhaled gas from the human nasal cavity; The calculation results of the equations are visualized based on the computational fluid dynamics software to determine the simulation results.

3. The method for analyzing airflow movement distribution and virus distribution on a mask according to claim 1, characterized in that: A comprehensive analysis is performed on the airflow movement distribution on the mask, and the virus distribution pattern of virus particles on the mask is calculated, specifically including: According to the velocity distribution and flow distribution in the airflow motion distribution on the mask, the flow ratio of each area on the mask is calculated; wherein each area on the mask is divided based on five-point sampling; The concentration of virus particles in each area of ​​the mask is calculated according to the flow rate ratio of each area on the mask and the initial concentration of virus particles; the initial concentration of virus particles is the concentration obtained by assuming that the virus particles are uniformly distributed in the exhaled gas of the human nasal cavity; Calculate the amount of virus particles deposited in each area of ​​the mask based on the penetration rate of virus particles through the mask and the concentration of virus particles in each area of ​​the mask; According to the concentration of virus particles in each area of ​​the mask and the amount of virus particles deposited in each area of ​​the mask, the virus distribution pattern of virus particles on the mask is determined.

4. The method for analyzing airflow movement distribution and virus distribution on a mask according to claim 3, characterized in that: According to the velocity distribution and flow distribution in the airflow motion distribution on the mask, the flow ratio of each area on the mask is calculated, specifically including: according to Calculate the flow rate of each area on the mask; where Q i is the flow rate proportion of the i-th area in the mask; Q is the flow distribution; Q dA is the flow distribution through the small area element dA; A i is the i-th area in the mask; total is the entire mask area.

5. The method for analyzing airflow movement distribution and virus distribution on a mask according to claim 4, characterized in that: According to the flow rate ratio of each area on the mask and the initial concentration of virus particles, the concentration of virus particles in each area on the mask is calculated, specifically including: According to C i =C0·Q i Calculate the concentration of virus particles in each area of ​​the mask; where C i is the concentration of virus particles in the ith region of the mask; C0 is the initial concentration of virus particles; According to the penetration rate of virus particles through the mask and the concentration of virus particles in each area of ​​the mask, the amount of virus particles deposited in each area of ​​the mask is calculated, specifically including: According to P i =1-η to calculate the penetration rate of the virus particles through the mask; where P i is the penetration rate of virus particles in the ith region of the mask through the mask; η is the filtration efficiency of the mask material; According to D i =C i ·A i ·(1-P i ) calculates the amount of virus particles deposited in each area of ​​the mask; wherein Di is the amount of virus particles deposited in the i-th area of ​​the mask.

6. The method for analyzing airflow movement distribution and virus distribution on a mask according to claim 1, characterized in that: According to the 3D modeling design software, a 3D face model and a mask model are constructed, and the air domain formed by the mask and the face is extracted, including: According to the three-dimensional face model and the mask model, Boolean operation is used to extract the air domain formed by the mask and the face.

7. The method for analyzing airflow movement distribution and virus distribution on a mask according to claim 1, characterized in that: Based on the distribution law of the virus, the material and structure of the mask are optimized, including: According to the virus distribution pattern, determine the area where virus particles are densely populated; The material and structure of the mask are optimized based on the virus particle dense area and the filtering efficiency of the mask material.

8. The method for analyzing airflow movement distribution and virus distribution on a mask according to claim 1, characterized in that: Computational fluid dynamics software is used to perform computational fluid dynamics simulation on the air domain formed by the mask and the human face to obtain simulation results, and then the following steps are included: Setting a convergence threshold in the computational fluid dynamics software; Subtracting the simulation result from the airflow motion distribution on the mask actually observed to obtain a residual result; Comparing whether the residual result is less than or equal to the convergence threshold, obtaining a first result; If the first result is yes, determining that the simulation result converges; If the first result is no, it is determined that the simulation result has not converged, and the process returns to step "using computational fluid dynamics software to perform computational fluid dynamics simulation on the air domain formed by the mask and the face to obtain a simulation result" until the residual result is less than or equal to the convergence threshold.

9. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for analyzing the airflow movement distribution and virus distribution on the mask according to any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it implements the analysis method of airflow movement distribution and virus distribution on the mask described in any one of claims 1-8.

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