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CN113312859B - Analysis method of virus transmission in civil aviation aircraft cabin - Google Patents

Analysis method of virus transmission in civil aviation aircraft cabin
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CN113312859B
CN113312859BCN202110680387.XACN202110680387ACN113312859BCN 113312859 BCN113312859 BCN 113312859BCN 202110680387 ACN202110680387 ACN 202110680387ACN 113312859 BCN113312859 BCN 113312859B
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cabin
virus
civil aviation
passengers
virus transmission
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CN113312859A (en
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张梦雅
于女
张耀
田勇
孙梦圆
张新
崔宇
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Nanjing University of Aeronautics and Astronautics
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Nanjing University of Aeronautics and Astronautics
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Translated fromChinese

本发明公开了民航客机舱内病毒传播分析方法,包括采集民航客机参数,利用三维建模软件构建选定空间的客舱物理模型;对构建的客舱物理模型进行网格划分;对网格划分后的客舱物理模型进行仿真;根据仿真结果确定病毒扩散的模拟路径以及扩散的速度场及浓度场;基于民航客机舱内病毒传播数学模型,计算患病乘客上方个性化通风口在不同的状态下舱内乘客受感染风险概率。本发明对机组人员和乘客合理安排机舱活动和使用个人防护用品提供建议,降低其他乘客感染风险,尽量隔离感染者,阻挡病毒传播,对乘客和机组人员的身体健康具有重要意义。

The present invention discloses a method for analyzing virus transmission in a civil aviation passenger aircraft cabin, including collecting civil aviation passenger aircraft parameters, using three-dimensional modeling software to construct a cabin physical model of a selected space; meshing the constructed cabin physical model; simulating the meshed cabin physical model; determining the simulated path of virus diffusion and the velocity field and concentration field of diffusion according to the simulation results; and calculating the probability of infection risk of passengers in the cabin under different states of personalized vents above sick passengers based on a mathematical model of virus transmission in a civil aviation passenger aircraft cabin. The present invention provides suggestions for crew members and passengers to reasonably arrange cabin activities and use personal protective equipment, reduce the risk of infection of other passengers, isolate infected persons as much as possible, and block virus transmission, which is of great significance to the physical health of passengers and crew members.

Description

Method for analyzing virus transmission in civil aviation passenger plane cabin
Technical Field
The invention relates to a method for analyzing virus transmission in a civil aircraft cabin, in particular to a method for researching virus transmission in a civil aircraft cabin based on a CFD model.
Background
With the rapid development of world economy, more and more passengers choose to travel on board an aircraft. In the flight process of the civil airliner, the cabin is a closed environment, passengers and crews are exposed to the environment with higher personnel density, and air flow is realized by an air conditioning ventilation system. When a passenger carrying the virus takes an airplane, the virus is infected with breath, mouth water and mucus on the surface of an object or directly enters the air. Healthy people may become infected by touching the surfaces of these contaminated objects or by inhalation of viruses.
COVID-19 virus particles can be considered as a coronavirus different from SARS virus, and the particle size in air is about 60-140nm, belonging to inhalable ultrafine particles, slightly smaller than the particle size of 80-220nm of SARS virus. Researches show that COVID-19 viruses can be transmitted in a relatively airtight space and a specific place in an aerosol mode, and the space in the civil aviation cabin is smaller, so that the research on the method for transmitting and diffusing the viruses in the civil aviation cabin is significant for protecting the health of passengers and crewmembers.
Since COVID-19, SARS and several influenza events occurred through the transmission of civil airliners, the study of cross-transmission of pathogens within a relatively closed environment has become increasingly important, where viruses can be carried by infectious agents taking aircraft from one city and transmitted to passengers in the same aircraft and to people in another city. The research shows that the civil aviation passenger cabin is a suitable environment for transmitting pathogens carried by passengers or crewmembers, and the transmission mode and path of the viruses in the cabin mainly comprise direct contact transmission, indirect contact transmission and air transmission, and the method for researching the transmission and the diffusion of the viruses in the cabin mainly comprises a simulation experiment measurement method, a CFD numerical simulation method and a probability analysis method.
CFD has the unique advantages of low cost, high speed, complete data, capability of simulating various working conditions and the like, and is gradually favored by people. Hao Lei et al show that aisle passengers have a higher exposure rate in short flights. The method of combining simulation experiments and CFD numerical simulation is adopted by Wei Yan and the like, so that the propagation characteristics of air pollutants in an aircraft cabin are researched, and the pollution source position has an important influence on the propagation of the pollutants in the aircraft cabin.
The domestic scholars have few researches on the aspect, and examples prove that pollutants such as viruses in cabins can be transmitted in cabins, the particle size of the viruses is tiny, the viruses belong to inhalable particles, the transmission characteristic is extremely strong, and the influence on human population health is extremely great. Therefore, it is very necessary to invent a research method for virus transmission in the cabin of a civil aircraft based on a CFD model.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention aims to provide an analysis method for virus transmission in a civil aircraft cabin based on a CFD model.
The invention adopts the following technical scheme. The method for analyzing the virus transmission in the cabin of the civil aircraft comprises the following steps:
collecting parameters of a civil aircraft, and constructing a cabin physical model of a selected space by utilizing three-dimensional modeling software;
The simulation path of virus diffusion, the diffusion speed field and the concentration field are determined according to the simulation result;
based on a mathematical model of virus propagation in the cabin of the civil aircraft, the probability of risk of infection of passengers in the cabin under different states of the personalized ventilation opening above the sick passengers is calculated.
Further, the parameters of the civil aircraft include overall cabin size, interior seat, body size, doorway position, doorway number and doorway size.
Further, the simulating of the cabin physical model after grid division specifically includes the following steps:
The divided grids are imported into FLUENT software for grid inspection, if the grid volume is negative, the grids are divided again, a turbulence model is set, an RNG k-epsilon model is selected, boundary condition setting is carried out on the inlet and outlet speed, flow and temperature, iteration times are selected, and a simulation result is obtained when the result is not converged any more.
Further, the formula of the mathematical model for virus propagation in the cabin of the civil aircraft is as follows:
Wherein P is the infection probability, D is the number of infected people, S is the number of people easy to be infected, I is the number of sick people, Q is the release rate of virus units, P is the pulmonary ventilation rate, Q is the ventilation rate of a passenger cabin, alphai is the I-th degree of opening the personalized ventilation opening above the sick passenger seat, Q0 is the maximum ventilation amount of the personalized ventilation opening above the passenger seat, and t is the exposure time.
Still further, the magnitude of the personalized vent opening above the diseased passenger seat, αi, is denoted as αi={α123},α1, α2, a specific proportion of the openings, and α3, a full opening.
Further, the method includes analyzing effects of cabin passenger activity and cabin service movement on cabin virus transmission under non-steady state conditions by setting the moving mesh size and the movement speed of cabin passengers and crewmembers.
The beneficial technical effects obtained by the invention are as follows:
The invention researches an analysis method of virus transmission and diffusion in a civil aircraft cabin, explores the virus diffusion condition of a virus source when the cabin is at different positions and the virus diffusion condition when personnel move in the cabin, and visualizes the transmission path of the virus in the civil aircraft cabin by using a numerical simulation method.
The invention can provide treatment advice for crew members and airline operators when virus transmission events such as COVID-19, SARS and the like occur in the cabin, and proper measures are taken to reduce the exposure risk of passengers and crew members, thereby contributing to scientific protection of passengers and crew members in the cabin of the civil aviation passenger plane and blocking epidemic diseases.
Drawings
FIG. 1 is a basic flow chart diagram of an embodiment of the present invention;
FIG. 2 is a front view of a cabin physical model of row 7, A320, in accordance with the present invention;
FIG. 3 is a side view of a cabin physical model of row A320 of example 7 of the present invention;
FIG. 4 is a top view of a cabin physical model of row A320 of example 7 of the present invention;
FIG. 5 is a front view of a meshing of a cabin model for row 7A 320 in accordance with the present invention;
FIG. 6 is a side view of a meshing of a cabin model for row 7A 320 in accordance with the present invention;
FIG. 7 is a top view of a meshing of a cabin model for row 7A 320 in accordance with example 7 of the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples below in order to make the objects, techniques and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The method for analyzing virus propagation in the civil aviation passenger cabin provided by the embodiment comprises the following steps in sequence, wherein the implementation steps are shown in figure 1:
and S1, building a physical model of a cabin of the civil aircraft.
The interior of the passenger cabin is simplified to a certain extent, and only the interior space of the luggage rack of the passenger cabin is reserved. Because the total size of the cabin model unit is more, the number of the subsequent required grids is larger, and when public health safety events such as virus transmission and the like occur in the civil aviation passenger cabin specified by the civil aviation bureau of China, front and rear three rows of passengers should be isolated, in order to facilitate calculation, the cabin interior is simplified to a certain extent, and a 7-row cabin physical model is constructed by using periodic boundary conditions.
In this embodiment, the overall dimensions of the 7 rows of physical models (length 6.3m, width 3.7m, height 2.26 m) and the positions and dimensions of the roof air supply opening, the ceiling air supply opening and the air outlet are designed according to the dimensions of the cabin a320 and output IGS documents, as shown in fig. 2, 3 and 4.
In this embodiment, the Solidworks modeling software is used to construct the physical model of the cabin, and in other embodiments, other modeling software such as CAD and UG may be used to perform modeling.
In step S2, in this embodiment, an ICEM CFD preprocessor is used to perform meshing of the physical model.
Step S201, first, detailed understanding of CFD model features, principles, implementation process, etc. will be described. The appropriate model is selected for improvement, and the influence of various cabin activities on the virus transmission and diffusion path, such as jolt experienced by the aircraft, personnel activities in the cabin and the like, is considered.
Step S202, the IGS file obtained in the step S1 is imported into an ICEM CFD preprocessor, a solid model is restored first, each part size is defined, the solid model (namely, a constructed cabin physical model) is subjected to grid division by adopting an unstructured grid division method, the total number of 7 rows of cabin grids is about 480 ten thousand, three views of grid division results are shown in fig. 5, 6 and 7, an. Msh file is output, and grid division can be performed by adopting a GAMBIT and other preprocessors.
And step S3, performing numerical simulation calculation by using FLUENT, wherein FLUENT is a calculation software of CFD and has wide application in the aspects of aerospace, automobile design, petroleum and natural gas, turbine design and the like. In the embodiment, the divided grids of the physical model obtained in the step S2 are imported into FLUENT software, and numerical simulation is performed on virus propagation in the cabin of the civil aircraft by using the FLUENT software to obtain a numerical simulation result of virus propagation in the cabin of the civil aircraft.
Step S301, opening FLUENT software, inputting the msh file in step S2 into FLUENT and checking grids, and re-dividing the grids if the grid volume is negative;
step S302, a turbulence model selects an RNG k-epsilon model;
Step S303, setting parameter conditions and boundary conditions, wherein in the embodiment, parameter condition setting, entrance, exit speed, temperature and pathogen release speed boundary conditions of sick passengers are performed in FLUENT software according to a simulation scene of a civil aviation passenger cabin and a virus release state;
Step S304, setting convergence conditions and defining initial conditions;
Step S305, after the relevant parameter setting, starting the iteration number setting and performing the iterative calculation, when the residual is seen in the residual map to be no longer declining, the operation is considered to be converged,
Stopping operation to obtain an operation result;
step S306, the result is saved.
And S4, analyzing and evaluating a virus propagation numerical simulation result in the passenger plane cabin. And (5) analyzing and researching the results of the numerical simulation by utilizing the FLUENT self-contained post-processing software. And a simulation path of virus transmission and diffusion, a speed field, a concentration field and the like of diffusion are obtained through FLUENT simulation calculation, and the diffusion rule of virus transmission in the cabin is analyzed, so that the exposure risk of passengers and crewmembers is reduced.
And S5, constructing a virus propagation mathematical model in the cabin of the civil aircraft. When the personalized vent above the sick passenger seat is opened and closed, different effects can be caused on the air flow in the civil aircraft cabin. According to the invention, through correcting the Wells-Riley model, the probability of infection risk of passengers in the cabin under different states of the personalized ventilation opening above the sick passengers is calculated. The Wells-Riley model is as follows:
Wherein P is the infection probability, D is the number of infected people, S is the number of people easy to infect, I is the number of sick people, Q is the release rate of virus unit (quanta/h), P is the lung ventilation rate, Q is the ventilation rate of a passenger cabin, r is the infection initiating capability, and t is the exposure time.
The modified Wells-Riley model formula is as follows:
Where αi is the degree to which the personalized vent above the diseased passenger seat is opened. In this example, αi={α123},α1 represents unopened, α2 represents opened 50%, α3 represents fully opened, and Q0 is the maximum ventilation of the personalized vent above the passenger seat.
And S6, analyzing the virus transmission in the cabin under the unsteady state condition. The path of viral transmission may be altered by the movement of passengers and crewmembers in the cabin. According to the invention, the passenger and crew movable grid model is constructed, the size and the movement speed of the movable grid are set, and the influence of the passenger activity and cabin service in the cabin on the virus transmission in the cabin is analyzed.
When virus transmission events such as COVID-19 (Corona Virus Disease 2019, novel coronavirus pneumonia) and SARS (Severe Acute Respiratory Syndromes, severe acute respiratory syndrome) occur in a passenger cabin, suggestions are provided for a crew member and passengers to reasonably arrange cabin activities and use personal protection articles, the infection risk of other passengers is reduced, infected persons are isolated as much as possible, and virus transmission is blocked.
According to the invention, a virus propagation and diffusion mode in the civil aircraft cabin is researched, a mathematical model is established by using a CFD calculation method, the numerical simulation is carried out by using FLUENT software, a simulation path of virus propagation in the civil aircraft cabin is obtained, finally, a simulation result is analyzed, the virus propagation and diffusion rule in the civil aircraft cabin is analyzed, and the occupational exposure risk of a crew member is reduced from the aspect of occupational health. And provide the suggestion to crew and passenger's reasonable arrangement cabin activity and use personal protection articles for use, reduce other passengers and infect the risk, keep apart the infectious agent as far as possible, block virus transmission, have important meaning to cabin passenger and crew's human health.
The foregoing has shown and described the basic principles and main features of the present invention and the advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (5)

Translated fromChinese
1.民航客机舱内病毒传播分析方法,其特征在于,包括以下步骤:1. A method for analyzing virus transmission in a civil aviation passenger aircraft cabin, characterized in that it comprises the following steps:采集民航客机参数,利用三维建模软件构建选定空间的客舱物理模型;对构建的客舱物理模型进行网格划分;对网格划分后的客舱物理模型进行仿真;根据仿真结果确定病毒扩散的模拟路径以及扩散的速度场以及浓度场;Collect civil aircraft parameters and use 3D modeling software to build a cabin physical model of the selected space; mesh the constructed cabin physical model; simulate the meshed cabin physical model; determine the simulation path of virus diffusion, the diffusion velocity field, and the concentration field based on the simulation results;基于民航客机舱内病毒传播数学模型,计算患病乘客上方个性化通风口在不同的状态下舱内乘客受感染风险概率;Based on the mathematical model of virus transmission in civil aviation aircraft cabins, the probability of infection risk for passengers in the cabin is calculated under different conditions of the personalized vents above the sick passengers;其中,所述民航客机舱内病毒传播数学模型公式如下:The mathematical model formula for virus transmission in the cabin of a civil aviation passenger aircraft is as follows:其中,P为感染概率;D为受感染人群数量;S为易感染人数数量;I为患病人数;q为病毒单位释放率;p为肺通气率;Q为客舱通风量;αi为患病乘客座椅上方个性化通风口打开的第i种程度;Q0为乘客座椅上方个性化通风口的最大通风量,t为暴露时间;患病乘客座椅上方个性化通风口打开的大小程度αi表示为:αi={α123},α1表示未打开,α2表示打开特定比例,α3表示完全打开。Among them, P is the infection probability; D is the number of infected people; S is the number of susceptible people; I is the number of sick people; q is the virus unit release rate; p is the lung ventilation rate; Q is the cabin ventilation volume; αi is the i-th degree of opening of the personalized vents above the sick passenger seats; Q0 is the maximum ventilation volume of the personalized vents above the passenger seats, and t is the exposure time; the degree of opening of the personalized vents above the sick passenger seats αi is expressed as: αi ={α1 , α2 , α3 }, α1 means not opened, α2 means opened to a specific proportion, and α3 means fully opened.2.根据权利要求1所述的民航客机舱内病毒传播分析方法,其特征在于,所述民航客机参数包括客舱外形整体尺寸、内部座椅、人体尺寸、出入口位置、出入口个数和出入口尺寸。2. The method for analyzing virus transmission in a civil aviation passenger aircraft cabin according to claim 1 is characterized in that the civil aviation passenger aircraft parameters include the overall dimensions of the cabin shape, internal seats, human body dimensions, entrance and exit locations, the number of entrances and exits, and entrance and exit dimensions.3.根据权利要求1所述的民航客机舱内病毒传播分析方法,其特征在于,对网格划分后的客舱物理模型进行仿真具体包括以下步骤:3. The method for analyzing virus propagation in a civil aviation aircraft cabin according to claim 1 is characterized in that simulating the physical model of the cabin after grid division specifically comprises the following steps:将划分后的网格导入FLUENT软件中,进行网格检查,如果网格体积为负,则重新划分网格;设置湍流模型,选择RNG k-ε模型;对出入口速度、流量、温度进行边界条件设置;选择迭代次数,当结果不再收敛时获得仿真结果。Import the divided grid into FLUENT software and perform a grid check. If the grid volume is negative, re-divide the grid; set the turbulence model and select the RNG k-ε model; set boundary conditions for inlet and outlet velocity, flow rate, and temperature; select the number of iterations and obtain the simulation results when the results no longer converge.4.根据权利要求1所述的民航客机舱内病毒传播分析方法,其特征在于,所述方法还包括:通过设置动网格大小以及舱内乘客及机组人员的移动速度,分析非稳态条件下舱内乘客活动和客舱服务移动对舱内病毒传播的影响。4. The method for analyzing virus transmission in the cabin of a civil aviation passenger aircraft according to claim 1 is characterized in that the method also includes: analyzing the impact of cabin passenger activities and cabin service movements on cabin virus transmission under non-steady-state conditions by setting the dynamic grid size and the movement speed of passengers and crew members in the cabin.5.根据权利要求1所述的民航客机舱内病毒传播分析方法,其特征在于,采用非结构化网格划分方法对客舱物理模型进行网格划分。5. The method for analyzing virus propagation in a civil aviation aircraft cabin according to claim 1 is characterized in that an unstructured grid division method is used to grid the cabin physical model.
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* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN110362917A (en)*2019-07-122019-10-22天津市德安圣保安全卫生评价监测有限公司A kind of occupational exposure analog analysing method based on CFD technology
CN111611649A (en)*2020-05-112020-09-01中南大学 A Numerical Simulation Method of Pathogen Transmission Mechanism in Train Passenger Room

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN110362917A (en)*2019-07-122019-10-22天津市德安圣保安全卫生评价监测有限公司A kind of occupational exposure analog analysing method based on CFD technology
CN111611649A (en)*2020-05-112020-09-01中南大学 A Numerical Simulation Method of Pathogen Transmission Mechanism in Train Passenger Room

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