Surface pollution simulation detection method, device and system

Abstract

The invention discloses a surface pollution simulation detection method, device and system, and relates to the technical field of pollution simulation detection. The method comprises the following steps: constructing a three-dimensional space model of a fluid diffusion area according to space parameters of an area to be detected, and dividing the three-dimensional space model into a fluid domain space body grid and a surface boundary layer grid; radioactive gas particles are added, and the density and the leakage rate of the radioactive gas particles are set; calculating the deposition velocity of the radioactive gas particulate matters in the fluid domain space body grid and the particle concentration of the radioactive gas particulate matters in the surface boundary layer grid according to a computational fluid mechanics method; further calculating deposition flux and deposition activity; and assigning the deposition activity to the NFC label corresponding to the surface boundary layer grid, and detecting the NFC label to complete surface pollution simulation detection. According to the embodiment of the invention, the diffusion trend and deposition condition of the radioactive pollutants can be predicted more accurately, and the simulation precision is improved.

Description

Technical Field

[0001] The present application belongs to the technical field of pollution simulation detection, and in particular, relates to a surface pollution simulation detection method, device and system. Background Art

[0002] There is currently no clear calculation model for surface contamination calculation. Empirical data is usually used in the process of surface contamination data collection, which can lead to inaccurate data and a loose connection with actual training scenarios, resulting in problems such as misjudgment and misinterpretation. Training on cleaning, firefighting, and rescue cannot be based on scientific support from data on clear contamination levels.

[0003] Contamination inspection through fluorescence can distinguish different forms of rays and support small retests. The problem is that it cannot measure concentration and is a scalar. The parameters are mainly set by the background and cannot be combined with the accident scene. It is difficult to measure in a strong light environment and the use environment is limited. In addition, simulants are consumables and are expensive. There are obstacles to large-scale promotion, and the measurement effectiveness will be limited. Generally, simulants cannot be retested within tens of minutes. Through the radio frequency tag method, data is only entered into the tag, and the scientific nature of the data cannot be verified. It is mainly based on measurement experience and typical empirical values. The above two methods cannot be combined with the actual accident background for scene simulation. Summary of the invention

[0004] The purpose of this application is to provide a surface contamination simulation detection method, device and system to simulate and detect the diffusion and deposition of radioactive gas particles in a specific area, by constructing a three-dimensional spatial model of the fluid diffusion area and using computational fluid dynamics (CFD) methods for simulation, and ultimately achieving simulated detection of surface contamination.

[0005] In order to achieve the above objectives, the solution of this application is:

[0006] In a first aspect, an embodiment of the present application provides a surface contamination simulation detection method, comprising:

[0007] Constructing a three-dimensional spatial model of the fluid diffusion region according to the spatial parameters of the region to be detected, wherein the three-dimensional spatial model of the fluid diffusion region includes an air inlet;

[0008] Meshing the three-dimensional spatial model of the fluid diffusion region into a fluid domain space volume grid and a surface boundary layer grid;

[0009] Add radioactive gas particles to the three-dimensional space model of the fluid diffusion area, and set the parameters of the radioactive gas particles, including the density and leakage rate of the radioactive gas particles;

[0010] According to the density and leakage rate of radioactive gas particles, the deposition velocity of radioactive gas particles in the fluid domain space grid and the particle concentration in the surface boundary layer grid are calculated by computational fluid dynamics method;

[0011] The deposition flux is calculated based on the deposition velocity of radioactive gas particles in the fluid domain space volume grid and the particle concentration in the surface boundary layer grid;

[0012] Calculate sedimentation activity based on sedimentation flux and the surface area of ​​the surface boundary layer grid;

[0013] The sedimentation activity is assigned to the NFC tag corresponding to the surface boundary layer grid, and the NFC tag is tested to complete the surface pollution simulation test.

[0014] Furthermore, the three-dimensional spatial model of the fluid diffusion region is meshed into a fluid domain space volume mesh and a surface boundary layer mesh, including:

[0015] The finite volume method is used to mesh the three-dimensional spatial model of the fluid diffusion region, which is divided into fluid domain space grids and surface boundary layer grids.

[0016] Furthermore, according to the density and leakage rate of the radioactive gas particles, the deposition velocity of the radioactive gas particles in the fluid domain space grid and the particle concentration in the surface boundary layer grid are calculated by computational fluid dynamics method, including:

[0017] Construct the concentration diffusion equation of radioactive gas particles, the formula is as follows:

[0018]

[0019] Among them, C i represents particle concentration; u represents air velocity; D i represents the molecular diffusion rate of radioactive gas particles i; ε p represents the eddy diffusivity of turbulence; v s，i represents the settling velocity of radioactive gas particles i;

[0020] The eddy diffusivity ε of turbulence p Depends on the friction speed u * The distance y from the wall is as follows:

[0021] ε p ∝u * y

[0022]

[0023]

[0024] Among them, Tw represents the wall shear stress, ρ represents the air density, and y represents the wall distance, that is, the distance between the layer of grid closest to the ground and the ground in the surface boundary layer grid;

[0025] Construct the air phase mass / momentum conservation equation as follows:

[0026]

[0027] Where u represents the air velocity vector; represents the air velocity component; represents the diffusion coefficient; represents the source term of the equation;

[0028] when , the air phase mass / momentum conservation equation is the air phase mass conservation equation.

[0029] Furthermore, the concentration diffusion equation and the air phase mass / momentum conservation equation are combined to obtain a set of simultaneous equations. Based on the computational fluid dynamics method and the density and leakage rate of radioactive gas particles, the simultaneous equations are solved to obtain the particle concentration C of radioactive gas particles in the surface boundary layer grid. i .

[0030] Furthermore, according to the density and leakage rate of the radioactive gas particles, the deposition velocity of the radioactive gas particles in the fluid domain space grid and the particle concentration in the surface boundary layer grid are calculated by computational fluid dynamics method, including:

[0031] The deposition rate of radioactive gas particles in the fluid domain space volume grid is calculated as follows:

[0032]

[0033] Among them, v d，j Indicates the deposition rate; C i represents particle concentration; u represents air velocity; D i represents the molecular diffusion rate of radioactive gas particles i; ε p represents the eddy diffusivity of turbulence; v S，i represents the settling velocity of radioactive gas particles i.

[0034] Furthermore, the deposition flux is calculated based on the deposition velocity of radioactive gas particles in the fluid domain space grid and the particle concentration in the surface boundary layer grid. The formula is as follows:

[0035] J d，i =v d,i ·C b，i

[0036] Among them, J d，i represents the deposition flux; v d，i represents the deposition velocity of radioactive gas particles in the fluid domain space grid; C b，i Represents the particle concentration of radioactive gas particles in the surface boundary layer grid.

[0037] Furthermore, the sedimentation activity is calculated based on the sedimentation flux and the surface area of ​​the surface boundary layer grid as shown below:

[0038] Where, Ap,i represents the sedimentation activity; Jd,t,p,i represents the sedimentation flux of the i-th grid in time step t; a p，i Represents the surface area of ​​the surface boundary layer mesh.

[0039] In a second aspect, an embodiment of the present application provides a surface contamination simulation detection device, comprising:

[0040] A model building module is configured to build a three-dimensional spatial model of the fluid diffusion area according to the spatial parameters of the area to be detected, wherein the three-dimensional spatial model of the fluid diffusion area includes an air inlet;

[0041] A grid division module is configured to perform grid division on the three-dimensional spatial model of the fluid diffusion region into a fluid domain space volume grid and a surface boundary layer grid;

[0042] A parameter setting module is configured to add radioactive gas particles to the three-dimensional spatial model of the fluid diffusion area and set parameters of the radioactive gas particles, the parameters including density and leakage rate of the radioactive gas particles;

[0043] The first calculation module is configured to calculate the deposition velocity of the radioactive gas particles in the fluid domain space volume grid and the particle concentration in the surface boundary layer grid according to the density and leakage rate of the radioactive gas particles and by using a computational fluid dynamics method;

[0044] A second calculation module is configured to calculate a deposition flux according to a deposition velocity of radioactive gas particles in a fluid domain space volume grid and a particle concentration in a surface boundary layer grid;

[0045] A third calculation module is configured to calculate the sedimentation activity based on the sedimentation flux and the surface area of ​​the surface boundary layer grid;

[0046] The simulation detection module is configured to assign the sedimentation activity to the NFC tag corresponding to the surface boundary layer grid, and detect the NFC tag to complete the surface pollution simulation detection.

[0047] In a third aspect, an embodiment of the present application provides a surface contamination simulation detection system, the system comprising a processor and a memory, the memory storing a computer program, the computer program being loaded and executed by the processor to implement a surface contamination simulation detection method as provided in the first aspect of the embodiment of the present application.

[0048] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, it is used to implement the surface contamination simulation detection method as described in the first aspect of the embodiment of the present application.

[0049] Compared with the prior art, the surface contamination simulation detection method provided by the embodiment of the present application has the following beneficial technical effects:

[0050] The embodiment of the present application constructs a three-dimensional spatial model of the fluid diffusion area and divides it into grids, accurately simulating the diffusion and deposition process of radioactive gas particles in the fluid domain space grid and the surface boundary layer grid. This accuracy helps to more accurately predict the diffusion trend and deposition of radioactive pollutants, and provides a reliable basis for subsequent pollution control and risk assessment.

[0051] The embodiment of the present application adopts the computational fluid dynamics (CFD) method, combined with the concentration diffusion equation of radioactive gas particles and the mass / momentum conservation equation of the air phase, to efficiently calculate the deposition velocity and particle concentration of particles in the fluid domain and the surface boundary layer. This calculation method not only improves the accuracy of the simulation, but also greatly shortens the calculation time, which helps to achieve the real-time and dynamic nature of pollution simulation.

[0052] The embodiment of the present application calculates the deposition flux and deposition activity to comprehensively evaluate the deposition of radioactive gas particles in the area to be detected. This information is of great value in formulating pollution control measures, optimizing emergency plans, and evaluating pollution risks. At the same time, the deposition activity is assigned to the NFC tag and detected, which realizes the real-time recording and tracing of pollution information, providing strong support for subsequent pollution monitoring and management. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 A schematic diagram showing a flow chart of a surface contamination simulation detection method according to an embodiment of the present application is shown;

[0054] Figure 2 A structural block diagram of a surface contamination simulation detection device according to an embodiment of the present application is shown;

[0055] Figure 3 A structural block diagram of a computer device according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0056] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are described in detail below in conjunction with the accompanying drawings. It is to be understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for ease of description, only some structures related to the present application are shown in the accompanying drawings, rather than all structures. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0057] The terms "including" and "having" and any variations thereof in this application are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products or devices.

[0058] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments.

[0059] like Figure 1 As shown, the embodiment of the present application provides a surface contamination simulation detection method, comprising the following steps:

[0060] Step 101: construct a three-dimensional spatial model of a fluid diffusion region according to spatial parameters of a region to be detected, wherein the three-dimensional spatial model of the fluid diffusion region includes an air inlet.

[0061] Step 101 is the starting step of the embodiment of the present application, and a three-dimensional spatial model of the fluid diffusion area is constructed according to the spatial parameters of the area to be detected, and this model needs to include an air inlet.

[0062] Specifically, a three-dimensional spatial model of the fluid diffusion area is constructed according to the spatial parameters of the area to be detected, wherein the spatial parameters of the area to be detected include but are not limited to the size, shape, height, obstacle distribution, ventilation conditions, etc. of the area. These parameters are the basis for constructing the three-dimensional spatial model, and they determine the accuracy and practicality of the model.

[0063] The three-dimensional spatial model of the fluid diffusion area is a digital three-dimensional model used to simulate the diffusion of radioactive gas particles in the area to be detected. This model needs to accurately reflect the spatial characteristics of the area to be detected in order to perform accurate simulation calculations.

[0064] In the three-dimensional spatial model of the fluid diffusion area, the air inlet is an important component. It simulates the entrance of air into the area to be detected and is one of the key factors to be considered in the simulation process. The design of the air inlet needs to be based on the actual ventilation conditions. For example, the size, location, and number of the air inlet need to be designed according to the actual situation.

[0065] The embodiment of the present application collects the spatial parameters of the area to be detected, including the size, shape, height, obstacle distribution and other information of the area. This information can be obtained by on-site measurement, drawing consultation and other methods. According to the complexity of the area to be detected and the simulation requirements, a suitable three-dimensional modeling tool is selected for modeling. For example, CAD (computer-aided design) software, GIS (geographic information system) software, Fluent, OpenFoam or dedicated fluid simulation software can be used for modeling.

[0066] In the modeling tool, based on the collected spatial parameters, a three-dimensional spatial model of the fluid diffusion area is gradually constructed, including drawing the boundaries of the area, adding obstacles, setting air inlets, and other steps. After completing the preliminary modeling, the model needs to be verified and adjusted. This can be done by comparing it with the actual area and conducting simulation tests. Ensure that the model can accurately reflect the spatial characteristics and ventilation conditions of the area to be tested.

[0067] In summary, step 101 is the basis of the entire surface contamination simulation detection method. An accurate and detailed three-dimensional spatial model can provide a reliable basis for subsequent simulation calculations, thereby ensuring the accuracy and practicality of the simulation results and providing a solid foundation for subsequent simulation calculations.

[0068] Step 102, meshing the three-dimensional spatial model of the fluid diffusion region into a fluid domain space volume mesh and a surface boundary layer mesh.

[0069] The purpose of step 102 is to divide the three-dimensional spatial model of the fluid diffusion area into a fluid domain space volume grid and a surface boundary layer grid. This step is also the basis for subsequent simulation calculations. The rationality and accuracy of grid division directly affect the accuracy and reliability of the simulation results.

[0070] In the embodiment of the present application, the finite volume method (Finite Volume Method, FVM) is used for meshing. The finite volume method is particularly suitable for the simulation of complex physical fields such as fluid dynamics. Using the finite volume method, the fluid diffusion area is divided into multiple fluid domain space body grids by FluentMeshing. These grids are the basic units of subsequent simulation calculations and are used to describe the movement and distribution of fluids in three-dimensional space. On the basis of the fluid domain space body grid, the surface boundary layer grid is further divided. The surface boundary layer is an important area where fluids interact with solid surfaces, and the flow characteristics inside it are usually more complex. By dividing the surface boundary layer grid, the flow and deposition process of the fluid near the surface can be more accurately simulated.

[0071] After the meshing is completed, the mesh quality needs to be checked. The inspection content includes the continuity, orthogonality, aspect ratio, etc. of the mesh to ensure that the mesh meets the requirements of the simulation calculation. Finally, the divided mesh is output to a specific file format (such as CGNS, FLUENT, etc.) for subsequent computational fluid dynamics (CFD) software to perform simulation calculations.

[0072] In summary, step 102 is a key step in meshing the three-dimensional spatial model of the fluid diffusion region, and its implementation process includes selecting a meshing method, determining the mesh type and size, dividing the fluid domain space volume mesh and the surface boundary layer mesh, mesh quality inspection, and mesh output. Reasonable meshing can provide an accurate basis for subsequent simulation calculations.

[0073] Step 103: adding radioactive gas particles to the three-dimensional spatial model of the fluid diffusion region and setting parameters of the radioactive gas particles, the parameters including the density and leakage rate of the radioactive gas particles.

[0074] Step 103 involves adding radioactive gas particles to the three-dimensional spatial model of the fluid diffusion area and setting parameters of these particles. Specifically, these parameters include the density and leakage rate of the radioactive gas particles.

[0075] The density of radioactive gas particles refers to the mass of particles per unit volume. This parameter is crucial for simulating the diffusion and deposition behavior of particles in fluids. The density directly affects the movement of particles in fluids, including their settling velocity, diffusion range, etc. Therefore, when setting this parameter, it is necessary to fully consider the physical properties of radioactive gas particles in the actual environment.

[0076] Leakage rate refers to the number or mass of radioactive gas particles leaked per unit time. This parameter determines the speed and quantity of particles entering the fluid diffusion area, thereby affecting the distribution and deposition of particles in the model. The setting of the leakage rate needs to be adjusted according to the actual leakage situation or simulation requirements to ensure the accuracy and reliability of the simulation results.

[0077] Step 103 is one of the foundations of the entire simulation detection method. Only by correctly setting the parameters of radioactive gas particles can the diffusion and deposition behavior of particles in the fluid be accurately simulated, and then key indicators such as deposition flux and deposition activity can be calculated. These indicators are of great significance for evaluating the degree of surface contamination and formulating pollution control measures.

[0078] In summary, step 103 plays a vital role in the surface contamination simulation detection method. Correctly setting the parameters of radioactive gas particles is one of the key steps to ensure the accuracy and reliability of the simulation results.

[0079] Step 104 , based on the density and leakage rate of the radioactive gas particles, the deposition velocity of the radioactive gas particles in the fluid domain space volume grid and the particle concentration in the surface boundary layer grid are calculated by computational fluid dynamics method.

[0080] Step 104 is a core part of the surface contamination simulation detection method, which involves using the density and leakage rate of radioactive gas particles to calculate the deposition rate of these particles in the fluid domain space grid and the particle concentration in the surface boundary layer grid. This step relies on computational fluid dynamics (CFD) methods to accurately simulate and calculate the diffusion and deposition process of particles.

[0081] The present application embodiment first constructs a concentration diffusion equation for radioactive gas particles, and the formula is as follows:

[0082]

[0083] Among them, C i represents particle concentration; u represents air velocity; D i represents the molecular diffusion rate of radioactive gas particles i; ε p represents the eddy diffusivity of turbulence; v s，i represents the settling velocity of radioactive gas particles i.

[0084] The concentration diffusion equation describes the change of the concentration distribution of radioactive gas particles in the air over time. The variables in the equation include particle concentration, air velocity, molecular diffusion rate of radioactive gas particles, turbulent eddy diffusion rate and the settling velocity of radioactive gas particles. The turbulent eddy diffusion rate is related to the friction velocity and the distance from the wall, which further affects the diffusion behavior of the particles.

[0085] The eddy diffusivity ε of turbulence p Depends on the friction speed u * The distance y from the wall is as follows:

[0086] ε p ∝u * y

[0087]

[0088] Among them, T w represents the wall shear stress, ρ represents the air density, and y represents the wall distance, that is, the distance between the layer of grid closest to the ground and the ground.

[0089] After constructing the concentration diffusion equation of radioactive gas particles, the embodiment of the present application constructs the air phase mass / momentum conservation equation to describe the mass conservation and momentum conservation of air flow. The formula is as follows:

[0090]

[0091] Where u represents the air velocity vector; represents the air velocity component; represents the diffusion coefficient; represents the source term of the equation;

[0092] when , the air phase mass / momentum conservation equation is the air phase mass conservation equation.

[0093] The concentration diffusion equation and the air phase mass / momentum conservation equation are combined to form a system of equations. This system of equations is solved based on the computational fluid dynamics method and the density and leakage rate of radioactive gas particles. The solution results provide the particle concentration information of radioactive gas particles in the surface boundary layer grid.

[0094] The present application embodiment calculates the deposition rate of radioactive gas particles in the fluid domain space volume grid, and the formula is as follows:

[0095]

[0096] Among them, v d，j Indicates the deposition rate; C irepresents particle concentration; u represents air velocity; D i represents the molecular diffusion rate of radioactive gas particles i; ε p represents the eddy diffusivity of turbulence; v s，i represents the settling velocity of radioactive gas particles i.

[0097] This formula takes into account multiple factors such as particle concentration, air velocity, molecular diffusion rate of radioactive gas particles, turbulent eddy diffusion rate and settling velocity of radioactive gas particles.

[0098] In summary, step 104 is a key step in the surface contamination simulation detection method, which involves complex mathematical and physical calculations. By constructing and solving the concentration diffusion equation, the air phase mass / momentum conservation equation, and calculating the deposition velocity, the deposition velocity of radioactive gas particles in the fluid domain space volume grid and the particle concentration in the surface boundary layer grid can be accurately simulated and calculated.

[0099] Step 105, calculating the deposition flux according to the deposition velocity of the radioactive gas particles in the fluid domain space volume grid and the particle concentration in the surface boundary layer grid.

[0100] In the embodiment of the present application, step 105 involves calculating the deposition flux based on the deposition velocity of radioactive gas particles in the fluid domain space volume grid and the particle concentration in the surface boundary layer grid. This step is crucial for evaluating the deposition of radioactive pollutants, predicting their possible impact on the environment, and formulating corresponding protective measures.

[0101] The deposition flux refers to the mass or activity of radioactive gas particles deposited per unit area per unit time. In step 105, the deposition flux can be calculated by combining the deposition velocity of radioactive gas particles in the fluid domain space grid and the particle concentration in the surface boundary layer grid. The formula is as follows:

[0102] J d，i =v d，i ·C b，i

[0103] Among them, J d，i represents the deposition flux; v d，i represents the deposition velocity of radioactive gas particles in the fluid domain space grid; C b，i Represents the particle concentration of radioactive gas particles in the surface boundary layer grid.

[0104] The deposition rate is a physical quantity that describes how fast particles in a fluid are deposited on a solid surface. It is affected by many factors, including the physical properties of the particles (such as density, shape, size, etc.), the properties of the fluid (such as flow rate, temperature, viscosity, etc.), and the properties of the solid surface (such as roughness, material, etc.). In step 105, accurate deposition rate data is crucial for calculating the deposition flux.

[0105] Particle concentration refers to the number of radioactive gas particles per unit volume. In the surface boundary layer grid, the distribution of particle concentration reflects the deposition of radioactive pollutants on the surface. By measuring or calculating particle concentration, we can understand the diffusion and deposition laws of radioactive pollutants in the environment, and then evaluate their impact on the environment and human health.

[0106] The calculation results of deposition flux are of great significance for the formulation of environmental protection policies and measures. For example, in the areas surrounding nuclear facilities, by monitoring deposition flux, the spread of radioactive pollutants can be discovered in a timely manner, so that corresponding protective measures can be taken to protect the environment and public health. In addition, deposition flux data can also be used to assess the long-term impact of nuclear accidents or nuclear leaks on the environment, providing a scientific basis for post-disaster recovery and reconstruction.

[0107] In summary, step 105 can better understand the deposition of radioactive gas particles by accurately calculating the deposition flux.

[0108] Step 106, calculating the deposition activity based on the deposition flux and the surface area of ​​the surface boundary layer grid.

[0109] In the present embodiment, step 106 involves calculating the deposition activity based on the deposition flux and the surface area of ​​the surface boundary layer grid. This step is important for assessing the degree of surface pollution, determining the distribution of pollution sources, and formulating effective pollution control measures.

[0110] Deposition activity refers to the total radioactivity intensity of radioactive materials deposited per unit area. In the surface contamination simulation detection method, the deposition activity can be obtained by calculating the deposition flux (i.e. the mass or quantity of radioactive materials passing through a unit area per unit time) and the surface area of ​​the surface boundary layer grid. The formula is as follows:

[0111] Among them, A p，i represents sedimentation activity; J d，t，p，i represents the sedimentation flux of the ith grid in time step t; a p，i Represents the surface area of ​​the surface boundary layer mesh.

[0112] First, the deposition flux of each grid needs to be determined based on the calculation results of the previous steps. Next, the surface area of ​​each surface boundary layer grid needs to be determined, which can be directly obtained when the three-dimensional space model is meshed in step 102, or obtained through subsequent calculations and processing. Finally, the ratio of the deposition flux of each grid to its surface area is added to obtain the total deposition activity.

[0113] The calculation results of step 106 are crucial for evaluating the degree of surface pollution. By comparing the deposition activity in different areas, the distribution and diffusion of the pollution source can be determined. In addition, the calculation results of the deposition activity can also be used to formulate effective pollution control measures, such as setting up isolation areas and strengthening ventilation.

[0114] In practical applications, step 106 is usually combined with other steps to form a complete surface contamination simulation detection system. This system can monitor and evaluate the diffusion and deposition of radioactive substances in the environment in real time, providing strong support for environmental protection and nuclear safety.

[0115] In summary, step 106 involves the calculation of deposition activity, which is of great significance for assessing the degree of surface pollution, determining the distribution of pollution sources, and formulating pollution control measures.

[0116] Step 107, assigning the deposition activity to the NFC tag corresponding to the surface boundary layer grid, and detecting the NFC tag to complete the surface pollution simulation detection.

[0117] Step 107 is the last step of the entire detection method, which involves assigning the calculated deposition activity to the NFC tags corresponding to the surface boundary layer grids and detecting these NFC tags to complete the surface pollution simulation detection.

[0118] Specifically, the sedimentation activity is assigned to the NFC tag corresponding to the surface boundary layer grid, and the NFC tag is detected to complete the surface pollution simulation detection. Among them, NFC (near field communication) tags are a contactless data transmission technology that allows information to be exchanged over a short distance. In this detection method, NFC tags are used to store and transmit the sedimentation activity information of each surface boundary layer grid.

[0119] After calculating the sedimentation activity of each surface boundary layer grid, this information needs to be accurately recorded and stored on the corresponding NFC tag to ensure the accuracy and completeness of the information. The detection of NFC tags usually involves using an NFC reader to read the information stored on the tag. This process can be automated to improve efficiency and accuracy. The information read by the reader can quickly understand the pollution status of each grid.

[0120] Once all NFC tags have been correctly read and the deposition activity information on them has been analyzed, the surface contamination simulation test can be considered complete. This information can be used to assess the degree of contamination, formulate protective measures, and conduct subsequent environmental monitoring.

[0121] In practical applications, this surface contamination simulation detection method can be used to assess contamination in various scenarios, such as nuclear power plants, chemical plants and other areas where radioactive or chemical contamination may exist. By simulating the diffusion and deposition process of pollutants, the degree of contamination in different areas can be predicted and assessed, so that corresponding protective measures can be taken. In addition, this method can also be used in environmental monitoring and pollution early warning systems. By real-time monitoring and analysis of the diffusion of pollutants, early warnings can be issued in a timely manner and countermeasures can be taken.

[0122] In summary, step 107 is the last step of the entire surface contamination simulation detection method and is also a key step in converting the calculation results into practical applications. By accurately recording and reading the deposition activity information on the NFC tag, accurate assessment and monitoring of the contamination situation can be achieved.

[0123] like Figure 2 As shown, the embodiment of the present application provides a surface contamination simulation detection device, including a model building module 201, a grid division module 202, a parameter setting module 203, a first calculation module 204, a second calculation module 205, a third calculation module 206 and a simulation detection module 207, wherein:

[0124] The model building module 201 is configured to build a three-dimensional spatial model of the fluid diffusion area according to the spatial parameters of the area to be detected, and the three-dimensional spatial model of the fluid diffusion area includes an air inlet;

[0125] A grid division module 202 is configured to perform grid division on the three-dimensional spatial model of the fluid diffusion region into a fluid domain space volume grid and a surface boundary layer grid;

[0126] The parameter setting module 203 is configured to add radioactive gas particles to the three-dimensional spatial model of the fluid diffusion area and set parameters of the radioactive gas particles, the parameters including the density and leakage rate of the radioactive gas particles;

[0127] The first calculation module 204 is configured to calculate the deposition velocity of the radioactive gas particles in the fluid domain space volume grid and the particle concentration in the surface boundary layer grid according to the density and leakage rate of the radioactive gas particles and by using a computational fluid dynamics method;

[0128] The second calculation module 205 is configured to calculate the deposition flux according to the deposition velocity of the radioactive gas particles in the fluid domain space volume grid and the particle concentration in the surface boundary layer grid;

[0129] A third calculation module 206 is configured to calculate the sedimentation activity based on the sedimentation flux and the surface area of ​​the surface boundary layer grid;

[0130] The simulation detection module 207 is configured to assign the deposition activity to the NFC tag corresponding to the surface boundary layer grid, and detect the NFC tag to complete the surface pollution simulation detection.

[0131] The surface contamination simulation detection device of the embodiment of the present application can be a computer device, or a component in the computer device, such as an integrated circuit or a chip. The computer device can be a terminal, or other devices other than the terminal. Exemplary, the computer device can be a mobile phone, a tablet computer, a laptop computer, a palmtop computer, a vehicle-mounted computer device, a mobile Internet device (Mobile Internet Device, MID), a super mobile personal computer (Ultra-Mobile Personal Computer, UMPC), a netbook or a personal digital assistant (Personal Digital Assistant, PDA), etc., and can also be a server, a network attached storage (Network Attached Storage, NAS), a personal computer (Personal Computer, PC), etc., and the embodiment of the present application is not specifically limited.

[0132] The surface contamination simulation detection device provided in the embodiment of the present application can achieve Figure 1 To avoid repetition, the various processes implemented in the embodiment of the surface contamination simulation detection method are not described here.

[0133] The present application also provides a computer device, such as Figure 3 As shown, the computer device includes a processor 301 and a memory 302. The memory 302 stores programs or instructions that can be executed on the processor 301. When the program or instruction is executed by the processor 301, the various steps of the above-mentioned surface contamination simulation detection method are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0134] It should be noted that, in the present application, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises one..." does not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be noted that the scope of the method and device in the embodiment of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0135] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

Claims

1. A surface contamination simulation detection method, characterized in that: The method comprises: Constructing a three-dimensional spatial model of the fluid diffusion area according to the spatial parameters of the area to be detected, wherein the three-dimensional spatial model of the fluid diffusion area includes an air inlet; Meshing the three-dimensional spatial model of the fluid diffusion region into a fluid domain space volume grid and a surface boundary layer grid; Adding radioactive gas particles to the three-dimensional spatial model of the fluid diffusion area and setting parameters of the radioactive gas particles, wherein the parameters include density and leakage rate of the radioactive gas particles; According to the density and leakage rate of the radioactive gas particles, the deposition velocity of the radioactive gas particles in the fluid domain space volume grid and the particle concentration in the surface boundary layer grid are calculated by computational fluid dynamics method; Calculating a deposition flux according to the deposition velocity of the radioactive gas particles in the fluid domain space volume grid and the particle concentration in the surface boundary layer grid; Calculating deposition activity based on the deposition flux and the surface area of ​​the surface boundary layer grid; The deposition activity is assigned to the NFC tag corresponding to the surface boundary layer grid, and the NFC tag is detected to complete the surface pollution simulation detection.

2. The surface contamination simulation detection method according to claim 1, characterized in that: The three-dimensional spatial model of the fluid diffusion region is gridded into a fluid domain space volume grid and a surface boundary layer grid, including: The three-dimensional spatial model of the fluid diffusion region is meshed by using the finite volume method, and is divided into a fluid domain space volume mesh and a surface boundary layer mesh.

3. The surface contamination simulation detection method according to claim 1, characterized in that: The method of calculating the deposition velocity of the radioactive gas particles in the fluid domain space grid and the particle concentration in the surface boundary layer grid according to the density and leakage rate of the radioactive gas particles by computational fluid dynamics method includes: Construct the concentration diffusion equation of radioactive gas particles, the formula is as follows: Among them, C i represents particle concentration; u represents air velocity; D i represents the molecular diffusion rate of radioactive gas particles i; ε p represents the eddy diffusivity of turbulence; v s，i represents the settling velocity of radioactive gas particles i; The eddy diffusivity ε of turbulence p Depends on the friction speed u * The distance y from the wall is as follows: e p ∝u * y Among them, T w represents the wall shear stress, ρ represents the air density, and y represents the wall distance, that is, the distance between the layer of grid closest to the ground and the ground in the surface boundary layer grid; Construct the air phase mass / momentum conservation equation as follows: Where u represents the air velocity vector; represents the air velocity component; represents the diffusion coefficient; represents the source term of the equation; when , the air phase mass / momentum conservation equation is the air phase mass conservation equation.

4. The surface contamination simulation detection method according to claim 3, characterized in that: The concentration diffusion equation and the air phase mass / momentum conservation equation are combined to obtain a set of simultaneous equations, and the set of simultaneous equations is solved based on the computational fluid dynamics method and the density and leakage rate of the radioactive gas particles to obtain the particle concentration C of the radioactive gas particles in the surface boundary layer grid. i .

5. The surface contamination simulation detection method according to claim 4, characterized in that: The method of calculating the deposition velocity of the radioactive gas particles in the fluid domain space grid and the particle concentration in the surface boundary layer grid according to the density and leakage rate of the radioactive gas particles by computational fluid dynamics method includes: The deposition rate of the radioactive gas particles in the fluid domain space volume grid is calculated using the following formula: Among them, v d，j Indicates the deposition rate; C i represents particle concentration; u represents air velocity; D i represents the molecular diffusion rate of radioactive gas particles i; ε p represents the eddy diffusivity of turbulence; v s，i represents the settling velocity of radioactive gas particles i.

6. The surface contamination simulation detection method according to claim 1, characterized in that: The deposition flux is calculated according to the deposition velocity of the radioactive gas particles in the fluid domain space grid and the particle concentration in the surface boundary layer grid, and the formula is as follows: J d，i =in d，i ·C b，i Among them, J d，i represents the deposition flux; v d，i represents the deposition velocity of the radioactive gas particles in the fluid domain space grid; C b，i represents the particle concentration of the radioactive gas particles in the surface boundary layer grid.

7. The surface contamination simulation detection method according to claim 1, characterized in that: The sedimentation activity is calculated according to the sedimentation flux and the surface area of ​​the surface boundary layer grid, and the formula is as follows: Among them, A p，i represents sedimentation activity; J d，t，p，i represents the sedimentation flux of the ith grid in time step t; a p，i Represents the surface area of ​​the surface boundary layer grid.

8. A surface contamination simulation detection device, characterized in that: The device comprises: A model building module is configured to build a three-dimensional spatial model of the fluid diffusion area according to the spatial parameters of the area to be detected, wherein the three-dimensional spatial model of the fluid diffusion area includes an air inlet; A grid division module is configured to perform grid division on the three-dimensional spatial model of the fluid diffusion region into a fluid domain space volume grid and a surface boundary layer grid; a parameter setting module, configured to add radioactive gas particles to the three-dimensional spatial model of the fluid diffusion area and set parameters of the radioactive gas particles, wherein the parameters include density and leakage rate of the radioactive gas particles; A first calculation module is configured to calculate the deposition velocity of the radioactive gas particles in the fluid domain space volume grid and the particle concentration in the surface boundary layer grid according to the density and leakage rate of the radioactive gas particles and by a computational fluid dynamics method; A second calculation module is configured to calculate a deposition flux according to a deposition velocity of the radioactive gas particles in the fluid domain space volume grid and a particle concentration in the surface boundary layer grid; A third calculation module is configured to calculate the deposition activity according to the deposition flux and the surface area of ​​the surface boundary layer grid; The simulation detection module is configured to assign the deposition activity to the NFC tag corresponding to the surface boundary layer grid, and detect the NFC tag to complete the surface pollution simulation detection.

9. A surface contamination simulation detection system, the system comprising a processor and a memory, wherein a computer program is stored in the memory, characterized in that: The computer program is loaded and executed by the processor to implement the surface contamination simulation detection method according to any one of claims 1 to 7.

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