Simulation evaluation method and device for marine organism interception efficiency of nuclear power plant interception net

Abstract

The invention discloses a simulation evaluation method and device for marine organism interception efficiency of a nuclear power plant blocking net. The method comprises the following steps: simulating and obtaining a first deformation result of the blocking net by using a first bidirectional coupling method; calibrating the one-way coupling model based on the first deformation result; simulating and acquiring a second deformation result of the blocking net by using the calibrated one-way coupling model; establishing a blocking model based on the second deformation result; constructing a target marine organism group; and based on the blocking net model, performing simulation evaluation on the blocking efficiency of the blocking net on the target marine organisms by using a second bidirectional coupling calculation method. According to the method, the calibrated one-way coupling model combines the advantage of high precision of two-way coupling, the second deformation result of the blocking net can be accurately and rapidly simulated and obtained, and the accurate blocking net model is established accordingly, so that the problem that the biological blocking effect is difficult to accurately simulate in the prior art can be solved; and the scientificity and the reliability of the blocking net design can be obviously improved.

Description

Technical Field

[0001] The present invention relates to the technical field of nuclear power water intake safety, and particularly relates to a simulation evaluation method and device for the interception efficiency of a sea biological interception net in a nuclear power plant. Background Art

[0002] The Acetes is a common small aquatic organism, and its movement postures and behaviors in water flow are complex. The stepped filtration system of the water intake channel of a nuclear power plant uses a trash rack to intercept the Acetes. The traditional trash rack design relies on experience and simple hydrodynamic analysis. However, due to the tiny size and huge quantity of the Acetes, its movement characteristics in water and its response to the trash rack are difficult to accurately predict by conventional methods, and there are problems such as difficult calculation and low efficiency in solving the typical deformation forms of the trash rack by the traditional fluid-structure interaction method. Therefore, determining the typical deformation forms of the trash rack under the action of water flow, and simultaneously accurately simulating the movement of the Acetes in water and its interaction with the trash rack are of great significance for improving the efficiency and accuracy of the trash rack configuration design.

[0003] Current simulation technologies are mostly used for the fishing simulation of larger aquatic organisms, and there are relatively few simulation studies on small organisms such as the Acetes. During the simulation process, the typical trash rack obtained by fluid-structure interaction under corresponding conditions is difficult to be directly applied to the simulation of the Acetes biological group, and the calculation cost is high. At the same time, existing simulation technologies rarely conduct behavioral simulations on a high-precision Acetes model biological group.

[0004] The existing patent CN114065663B discloses a bionic fish hydrodynamic prediction method based on CFD and MLP, including establishing an improved self-propelled motion model; constructing a two-dimensional swimming geometric model of a bionic fish using a specific airfoil; performing mesh division on the two-dimensional geometric model by using an overlapping grid method and conducting mesh independence verification; determining input and output parameters, fusing the two-dimensional geometric model and the self-propelled motion model based on UDF, and taking the two-dimensional incompressible unsteady Navier-Stokes equation as the control equation; determining variables and setting boundary conditions, numerically simulating the hydrodynamic force of the self-propelled model, and studying the influence of parameters on the motion performance of the bionic fish; establishing a hydrodynamic prediction model based on MLP according to the results of the numerical simulation; optimizing the parameters by using a multi-objective genetic algorithm, and performing hydrodynamic prediction on the optimized parameters through CFD, MLP, and RSM methods to verify the accuracy of the MLP prediction model.

[0005] The existing patent CN116258081A provides a simulation method for fish migration behavior, which belongs to the field of fish behavior technology. The method includes constructing a fish movement database; constructing a fish migration behavior model that combines machine learning and the Euler-Lagrangian agent method; obtaining the flow field information of the simulation area and performing grid division, wherein each grid is assigned a hydraulic factor; generating a virtual fish at the starting point of the fishway, and simulating its migration in the fishway according to the fish migration behavior model, and counting its upstream time; judging whether the preset number of simulated virtual fish is reached; summarizing the movement positions, upstream time and upstream success number of all virtual fish at each moment, obtaining the spatiotemporal dynamic distribution of the fish school, the upstream success rate and the average upstream time, and completing the simulation of the fish migration behavior. In summary, the above two existing patents have not solved the problem that it is difficult to obtain the deformation results of the intercepting net in the prior art and that the existing simulation model cannot perform high-precision simulation evaluation on the effect of intercepting shrimp by the garbage net. Summary of the invention

[0006] Based on the above technical problems, the present invention proposes a simulation evaluation method and device for the interception efficiency of nuclear power plant nets on marine organisms, which solves the problems in the prior art that it is difficult to obtain the deformation results of the nets and that the existing simulation models are unable to perform high-precision simulation evaluation on the effectiveness of the nets in intercepting hair shrimps.

[0007] A simulation evaluation method for the interception efficiency of nuclear power plant interception nets on marine organisms, comprising:

[0008] Using a first bidirectional coupling method to simulate and obtain a first deformation result of the barrier;

[0009] calibrating the one-way coupling model based on the first deformation result;

[0010] The calibrated one-way coupling model is used to simulate and obtain the second deformation result of the barrier;

[0011] Establishing a blocking model based on the second deformation result;

[0012] Constructing target marine biota;

[0013] Based on the interception net model, the second bidirectional coupling calculation method is used to simulate and evaluate the interception efficiency of the interception net on target marine organisms.

[0014] Furthermore, the first bidirectional coupling method includes: a fluid-solid bidirectional coupling method.

[0015] Furthermore, the second bidirectional coupling method includes: a CFD and discrete element bidirectional coupling method.

[0016] Furthermore, the first deformation result includes: the displacement of the mesh nodes of the barrier and the magnitude of the reaction force between the fluid and the barrier.

[0017] Further, calibrating the one-way coupling model based on the first deformation result includes:

[0018] Based on the first deformation result, adjusting the pressure parameter of the one-way coupling model;

[0019] Determining the calibration coefficient of the one-way coupling model based on the pressure parameter of the one-way coupling model;

[0020] Calibrating the one-way coupling model based on the calibration coefficient.

[0021] Further, the calibration coefficient is expressed by Formula 1, and Formula 1 is:

[0022]

[0023] where b is the width of the open channel, h is the depth of the open channel, is the mesh parameter, d is the net rope parameter, v is the flow velocity of the open channel flow, and C, m, n, p, q, r are parameters to be calibrated.

[0024] Further, establishing a netting model based on the second deformation result includes:

[0025] Based on the second deformation result, selecting transverse feature points and fitting to generate a spline curve;

[0026] Copying the spline curve longitudinally in an array, and scanning the vertical lines of the array boundary along the spline curve to construct the net lines;

[0027] Stretching the net lines to establish a netting model.

[0028] Further, the target marine organisms include: Acetes chinensis, Acaudina molpadioides, and Crepidula aculeata.

[0029] Further, constructing an Acetes chinensis biological group includes:

[0030] Determining the motion posture of the Acetes chinensis biological group;

[0031] Fitting the motion posture of the Acetes chinensis with spherical particles, and constructing an Acetes chinensis biological group based on the fitted motion posture of the Acetes chinensis.

[0032] Further, the motion postures of the Acetes chinensis biological group include a fully extended posture and a curled tail posture.

[0033] Further, the size distribution coefficient range of the Acetes chinensis in the Acetes chinensis biological group is 1 - 1.6.

[0034] Further, fitting the motion posture of the Acetes chinensis with spherical particles includes:

[0035] Setting the radius of the spherical particle to the maximum size of the body cross-section of the Acetes chinensis biological group at the corresponding position.

[0036] Further, the number of spheres is 10.

[0037] Further, the netting includes a flat net and a scoop net.

[0038] A simulation and evaluation device for the interception efficiency of a nuclear power plant netting against marine organisms, comprising:

[0039] A first simulation module, configured to simulate and obtain a first deformation result of the netting by using a first bidirectional coupling method;

[0040] A calibration module, configured to calibrate a unidirectional coupling model based on the first deformation result;

[0041] A second simulation module, configured to simulate and obtain a second deformation result of the netting by using the calibrated unidirectional coupling model;

[0042] A netting establishment module, configured to establish a netting model based on the second deformation result;

[0043] A marine organism group construction module, configured to construct a target marine organism group;

[0044] A simulation and evaluation module, configured to perform a simulation and evaluation on the interception efficiency of the netting against the target marine organisms based on the netting model by using a second bidirectional coupling calculation method.

[0045] A computer-readable storage medium, the computer-readable storage medium includes a stored computer program, wherein the computer program can execute the above method when being run by an electronic device.

[0046] A computer program product, including a computer program, the steps of the above method are implemented when the computer program is executed by a processor.

[0047] An electronic device, including a memory and a processor, a computer program is stored in the memory, and the processor is configured to execute the above method through the computer program.

[0048] Based on the above technical solutions, the present invention has at least the following beneficial effects:

[0049] 1. The present invention uses the first bidirectional coupling method to simulate and obtain a high-precision first deformation result of the netting, and calibrates the unidirectional coupling model based on the deformation result. The calibrated unidirectional coupling model combines the advantages of high precision of bidirectional coupling, can accurately and quickly simulate and obtain the second deformation result of the netting, and accordingly establish an accurate netting model. On this basis, a target marine organism group model is constructed and the second bidirectional coupling calculation method is used to perform a simulation and evaluation on the interception efficiency of the netting. This process can realize a systematic research from high-precision simulation to model calibration and then to interception efficiency evaluation, thereby significantly improving the scientificity and reliability of netting design and providing strong technical support for related engineering applications.

[0050] 2. The present invention provides a simulation method for the interception effect of a trash rack that can consider four key factors: the morphology, movement behavior, population generation of Acetes chinensis, and the deformation of the trash rack under the action of water flow. Specifically, by selecting typical movement postures during the movement process of Acetes chinensis, fitting the typical movement postures of Acetes chinensis with spherical particles, and setting the range of size changes of Acetes chinensis according to the biological group of Acetes chinensis, this method can effectively simulate the Acetes chinensis group and reduce the workload and calculation time of simulation modeling. On this basis, the two-way coupling calculation method of CFD and discrete element is used to evaluate the interception efficiency of the nuclear power plant barrier net for organisms, which can solve the problem that it is difficult to accurately simulate the interception effect of Acetes chinensis in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The accompanying drawings forming a part of the present invention are used to provide a further understanding of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention. In the drawings:

[0052] Figure 1 It is a flowchart of a simulation evaluation method for the interception efficiency of a nuclear power plant barrier net for marine organisms according to an embodiment of the present invention;

[0053] Figure 2-a It is a schematic diagram of selecting lateral feature points during the process of establishing a barrier net model;

[0054] Figure 2-b It is a schematic diagram of fitting and generating a spline curve during the process of establishing a barrier net model;

[0055] Figure 2-c It is a schematic diagram of scanning the array boundary vertical line along the spline curve to construct a wire mesh during the process of establishing a barrier net model;

[0056] Figure 2-d It is a schematic diagram of geometric reconstruction of a deformed barrier net during the process of establishing a barrier net model;

[0057] Figure 3 It is a schematic diagram of a typical curled tail posture of Acetes chinensis;

[0058] Figure 4 It is a schematic diagram of a typical curled tail posture of Acetes chinensis;

[0059] Figure 5 It is a schematic diagram of fitting the fully extended posture of Acetes chinensis with spherical particles according to an embodiment of the present invention;

[0060] Figure 6 It is a schematic diagram of fitting the curled tail posture of Acetes chinensis with spherical particles according to an embodiment of the present invention;

[0061] Figure 7 It is a schematic diagram of the initial state of an Acetes chinensis group according to an embodiment of the present invention;

[0062] Figure 8 Schematic diagram of the interception effect of a set of acetes in an embodiment of the present invention;

[0063] Figure 9 Schematic diagram of a simulation evaluation device for the interception efficiency of a nuclear power plant barrier net against marine organisms in an embodiment of the present invention;

[0064] Figure 10 Block diagram of the computer system structure of an electronic device for implementing the embodiments of the present application;

[0065] Figure 11 Schematic diagram of an electronic device for the simulation evaluation of the interception efficiency of a nuclear power plant barrier net against marine organisms. Detailed implementation manners

[0066] It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments may be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0067] The following further describes the present invention in detail with specific embodiments, and these embodiments should not be construed as limiting the scope claimed by the present invention.

[0068] Embodiment

[0069] To solve the problems in the prior art that it is difficult to obtain the deformation result of the barrier net and the existing simulation model cannot perform high-precision simulation evaluation on the interception effect of the trash rack on acetes, the present invention proposes a simulation evaluation method and device for the interception efficiency of a nuclear power plant barrier net against marine organisms.

[0070] According to one aspect of the embodiments of the present application, a simulation evaluation method for the interception efficiency of a nuclear power plant barrier net against marine organisms is provided.

[0071] As Figure 1 shows the flowchart of a simulation evaluation method for the interception efficiency of a nuclear power plant barrier net against marine organisms in an embodiment of the present invention, and the method includes:

[0072] S1, using the first bidirectional coupling method to simulate and obtain the first deformation result of the barrier net.

[0073] Further, the first bidirectional coupling method includes: a fluid-structure bidirectional coupling method. In this embodiment, the fluid-structure bidirectional coupling method is used to simulate the interaction between the barrier net and the fluid. Specifically, 6 different water flow velocities are selected under the same open channel size for the fluid-structure bidirectional coupling of the barrier net deformation.

[0074] Further, the first deformation result includes the displacement of the grid nodes of the net and the magnitude of the reaction force between the fluid and the net. An accurate deformation result of the net is obtained through fluid-structure bidirectional coupling, and the displacement of the grid nodes and the magnitude of the reaction force are recorded.

[0075] S2. Calibrate the unidirectional coupling model based on the first deformation result.

[0076] For the establishment of the unidirectional coupling model: (1) Use the grid of the fluid part in the fluid-structure bidirectional coupling to calculate the flow field state under the same initial conditions, and import the simulation result data file into the solid deformation analysis module (i.e., the unidirectional coupling model); (2) Subsequently, import the grid of the net part in the fluid-structure bidirectional coupling into the solid simulation module, and import the pressure data in step (1) onto the plane of the net.

[0077] Further, calibrating the unidirectional coupling model based on the first deformation result includes:

[0078] S201. Adjust the pressure parameters of the unidirectional coupling model based on the first deformation result.

[0079] S202. Determine the calibration coefficient of the unidirectional coupling model based on the pressure parameters of the unidirectional coupling model.

[0080] The deformation results of the net obtained from the bidirectional coupling simulation and the unidirectional coupling simulation are basically consistent in the deformation direction and the deformation law of geometric features, but there are differences in the numerical values. Therefore, accurate deformation results can be quickly obtained through the unidirectional coupling and the calibration coefficient. Specifically, by adjusting the pressure parameters of the unidirectional coupling model, the corresponding calibration coefficient α is obtained respectively, so that the difference between the maximum node displacement in the unidirectional coupling simulation deformation result and the fluid-structure bidirectional coupling result is more than 95%. At this time, this α value is a valid calibration coefficient. In this embodiment, formula one is fitted based on the valid calibration coefficient, and the calibration coefficient is represented by formula one.

[0081] Further, the calibration coefficient is represented by formula one, and formula one is:

[0082]

[0083] Where b is the width of the open channel, h is the depth of the open channel, is the mesh parameter, d is the net rope parameter, v is the flow velocity of the open channel water flow, and C, m, n, p, q, r are the parameters to be calibrated.

[0084] S203. Calibrate the unidirectional coupling model based on the calibration coefficient.

[0085] S3. Use the calibrated unidirectional coupling model to simulate and obtain the second deformation result of the net.

[0086] The calibrated unidirectional coupling model combines the advantages of high-precision bidirectional coupling and can accurately and quickly simulate and obtain the second deformation result of the net

[0087] S4. Establish a net model based on the second deformation result

[0088] Further, establishing a net model based on the second deformation result includes: selecting transverse feature points and fitting to generate a spline curve based on the second deformation result; replicating the spline curve longitudinally in an array, and scanning the vertical lines of the array boundary along the spline curve to construct wire meshes; stretching the wire meshes to establish a net model. As shown in Figure 2-a 、 2-b 、2-c, 2-d show the process of establishing the above net model

[0089] S5. Construct a target marine organism group

[0090] Further, the target marine organisms include: Acetes chinensis, Acaudina molpadioides, and Creseis acicula

[0091] Further, constructing an Acetes chinensis organism group includes the following steps

[0092] S501. Determine the motion postures of the Acetes chinensis organism group

[0093] Further, the motion postures of the Acetes chinensis organism group include a fully extended posture and a curled tail posture. Among them, the geometric shape of the fully extended posture is close to a straight line, and the curled tail posture is close to a hook shape. In this embodiment, the above two motion postures are studied. As shown in Figure 3 shows the typical curled tail posture of Acetes chinensis, as shown in Figure 4 shows the typical curled tail posture of Acetes chinensis

[0094] S502. Fit the motion postures of the Acetes chinensis with spherical particles and construct an Acetes chinensis organism group based on the fitted motion postures of the Acetes chinensis

[0095] The Acetes chinensis particles have random initial poses in the fluid domain. Further, the size distribution coefficient range of Acetes chinensis in the Acetes chinensis organism group is 1 to 1.6. For example, if the length of Acetes chinensis is between 0 - 40 mm and the size of a single Acetes chinensis model fitted by particles is 25 mm, then when generating an Acetes chinensis organism group (i.e., a large number of Acetes chinensis particle models at random spatial positions), the size distribution coefficient (i.e., the size distribution size factor) is set to a minimum of 1 times and a maximum of 1.6 times. Then, the size of the Acetes chinensis models in the generated Acetes chinensis organism group is randomly distributed between 25 mm × 1 to 25 mm × 1.6, that is, between 25 - 40 mm. It should be understood that in other embodiments of the present invention, the size distribution coefficient range of the spherical particles can be set accordingly according to the actual size of Acetes chinensis

[0096] Furthermore, fitting the movement posture of the Acetes community with spherical particles further includes: setting the radius of the spherical particle to the maximum size of the body cross-section of the Acetes community at the corresponding position.

[0097] Specifically, to simplify the simulation model, in the embodiments of the present invention, spherical particles are used to fit the typical movement postures of Acetes: based on the body size of Acetes with a body length of 25 mm, several spheres are used to fit the different body cross-sections of Acetes, and the corresponding sphere radii are set according to the actual sizes of the Acetes bodies, thereby generating a simplified Acetes particle model. Specifically, a particle material is created in EDEM, with a material density of 1000 kg / m 3 , a Poisson's ratio of 0.3, a collision loss coefficient of 0.3, an elastic recovery coefficient of 0.8, and a rolling friction coefficient of 0.02. Acetes particles are created according to the fitting data of the 25-mm Acetes body size. Initial particle positions and particle orientations are generated within the fluid domain according to a random function, and the volume generation method is changed to random, with a minimum volume coefficient of 1 and a maximum volume coefficient of 1.6. Preferably, the number of the spheres is 10. As Figure 5 shows a schematic diagram of fitting the fully extended posture of Acetes with spherical particles, Figure 6 and shows a schematic diagram of fitting the posture with the tail curled of Acetes with spherical particles. It should be understood that the number of spheres corresponding to Acetes with different body lengths is different.

[0098] S6. Based on the net model, the interception efficiency of the net on the target marine organisms is simulated and evaluated by using the second bidirectional coupling calculation method.

[0099] The net in this embodiment includes a flat net and a scoop net. The flat net is characterized in that the net is in a flat shape and has holes of the same size and evenly distributed on the surface. The scoop net is characterized in that the net is in a scoop shape, the overall geometric model is a trapezoidal prism, and holes of the same size are evenly distributed on five surfaces, and there are holes of different sizes near the junctions of the surfaces.

[0100] Furthermore, the second bidirectional coupling method includes a CFD and discrete element bidirectional coupling method. The barrier net is a geometric entity model, and the fluid domain calculation model is obtained by performing a Boolean subtraction with the canal entity model. The inlet of the fluid domain is an open channel pressure inlet, and the free surface height corresponding to the actual canal is set. The outlet of the fluid domain is a common pressure outlet. The specific preparation work is as follows: Import the shape of the barrier net into the canal model to extract the fluid domain, and create a static particle factory at the lower half volume on one side of the inlet of the barrier net. The geometric state of the particle factory is virtual, and the above two types of Acetes particles are selected for the particles. The total mass of the particles is 1 kg. Turn off the automatic step size, set the step size to 20%, set the mesh size to 2.5R, calculate for 0.2 seconds, export the result file, and set the initial time to 0 seconds. Open the exported EDEM file and start the EDEM listening mode. In Fluent, import the computational domain mesh model, set the standard k-epsilon model and VOF model, open the open channel model, set the pressure open channel inlet, and the inlet free liquid level is half the height of the model. Subsequently, use the CFD and discrete element bidirectional coupling method to simulate and evaluate the interception efficiency of the barrier net for target marine organisms. Figure 7 Schematic diagram of the initial state of the Acetes school; Figure 8 Schematic diagram of the interception effect of the Acetes school.

[0101] It should be noted that for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that this application is not limited by the described action sequence, because according to this application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0102] According to another aspect of the embodiments of the present application, the present invention also provides a simulation evaluation device for the interception efficiency of a nuclear power plant barrier net for marine organisms. As Figure 9 shown, the device includes: a first simulation module 901, a calibration module 902, a second simulation module 903, a barrier net establishment module 904, a marine organism group construction module 905, and a simulation evaluation module 906.

[0103] The first simulation module 901 is used to simulate and obtain the first deformation result of the barrier net by using the first bidirectional coupling method.

[0104] The calibration module 902 is used to calibrate the unidirectional coupling model based on the first deformation result.

[0105] The second simulation module 903 is used to simulate and obtain the second deformation result of the barrier net by using the calibrated unidirectional coupling model.

[0106] The blocking net establishment module 904 is used to establish a blocking net model based on the second deformation result.

[0107] The target marine organism group construction module 905 is used to construct a target marine organism group.

[0108] The simulation evaluation module 906 is used to simulate and evaluate the interception efficiency of the blocking net for the target marine organisms based on the blocking net model by using the second bidirectional coupling calculation method.

[0109] As an alternative, the first bidirectional coupling method includes: a fluid-structure bidirectional coupling method.

[0110] As an alternative, the second bidirectional coupling method includes: a CFD and discrete element bidirectional coupling method.

[0111] As an alternative, the first deformation result includes: the displacement of the grid nodes of the blocking net and the magnitude of the reaction force between the fluid and the blocking net.

[0112] As an alternative, calibrating the unidirectional coupling model based on the first deformation result includes:

[0113] Adjusting the pressure parameters of the unidirectional coupling model based on the first deformation result;

[0114] Determining the calibration coefficient of the unidirectional coupling model based on the pressure parameters of the unidirectional coupling model;

[0115] Calibrating the unidirectional coupling model based on the calibration coefficient.

[0116] As an alternative, the calibration coefficient is expressed by formula one, and formula one is:

[0117]

[0118] Wherein, b is the width of the open channel, h is the depth of the open channel, is the mesh parameter, d is the net rope parameter, v is the flow velocity of the open channel water flow, and C, m, n, p, q, r are parameters to be calibrated.

[0119] As an alternative, establishing the blocking net model based on the second deformation result includes:

[0120] Selecting transverse feature points and fitting to generate a spline curve based on the second deformation result;

[0121] Replicating the spline curve longitudinally in an array, and scanning the vertical lines of the array boundary along the spline curve to construct the net wires;

[0122] Stretching the net wires to establish a blocking net model.

[0123] As an alternative, the target marine organisms include: Acetes chinensis, Acaudina molpadioides, Creseis acicula.

[0124] As an alternative, construct a set of Acetes, including:

[0125] Determine the motion postures of the set of Acetes;

[0126] Use spherical particles to fit the motion postures of the Acetes, and construct the set of Acetes based on the fitted motion postures of the Acetes.

[0127] As an alternative, the motion postures of the set of Acetes include a fully extended posture and a curled tail posture.

[0128] As an alternative, the size distribution coefficient range of the Acetes in the set of Acetes is 1 to 1.6.

[0129] As an alternative, using spherical particles to fit the motion postures of the Acetes includes:

[0130] Set the radius of the spherical particles to the maximum size of the body cross-section of the set of Acetes at the corresponding position.

[0131] As an alternative, the number of spheres is 10.

[0132] As an alternative, the net includes a flat net and a scoop net.

[0133] In the embodiments of the present application, the term "module" or "unit" refers to a computer program with a predetermined function or a part of a computer program, which works with other related parts to achieve a predetermined goal, and can be fully or partially implemented by using software, hardware (such as a processing circuit or a memory), or a combination thereof. Similarly, one processor (or multiple processors or memories) can be used to implement one or more modules or units. In addition, each module or unit can be a part of an overall module or unit that includes the functions of the module or unit.

[0134] Regarding the device in the above embodiments, the specific manner in which each module performs operations has been described in detail in the embodiments related to the method, and will not be elaborated here.

[0135] According to one aspect of the present application, there is provided a computer program product, which includes a computer program.

[0136] The serial numbers of the embodiments of the present application above are only for description and do not represent the superiority or inferiority of the embodiments.

[0137] Figure 10 Schematically shows a block diagram of a computer system of an electronic device for implementing the embodiments of the present application.

[0138] It should be noted that Figure 10The computer system 1100 of the illustrated electronic device is merely an example and should not impose any limitation on the functions and usage scope of the embodiments of the present application.

[0139] As Figure 10 shown, the computer system 1100 includes a central processing unit 1101 (CPU), which can perform various appropriate actions and processes according to the program stored in the read-only memory 1102 (ROM) or the program loaded from the storage section 1108 into the random access memory 1103 (RAM). In the random access memory 1103, various programs and data required for system operation are also stored. The central processing unit 1101, the read-only memory 1102, and the random access memory 1103 are connected to each other via a bus 1104. An input / output interface 1105 (Input / Output interface, i.e., I / O interface) is also connected to the bus 1104.

[0140] The following components are connected to the input / output interface 1105: an input section 1106 including a keyboard, a mouse, etc.; an output section 1107 including, for example, a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 1108 including a hard disk, etc.; and a communication section 1109 including a network interface card such as a local area network card, a modem, etc. The communication section 1109 performs communication processing via a network such as the Internet. A drive 1110 is also connected to the input / output interface 1105 as needed. A removable medium 1111, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 1110 as needed so that a computer program read from it can be installed into the storage section 1108 as needed.

[0141] Specifically, according to the embodiments of the present application, the processes described in each method flowchart can be implemented as computer software programs. For example, the embodiments of the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program codes for performing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from the network through the communication section 1109 and / or installed from the removable medium 1111. When the computer program is executed by the central processing unit 1101, various functions defined in the system of the present application are executed.

[0142] In such an embodiment, the computer program can be downloaded and installed from a network through the communication part 1109, and / or installed from the removable medium 1111. When the computer program is executed by the central processing unit 1101, various functions provided by the embodiments of the present application are executed.

[0143] According to another aspect of the embodiments of the present application, an electronic device for simulating and evaluating the interception efficiency of a nuclear power plant barrier against marine organisms is further provided. In this embodiment, the electronic device is taken as an example of a terminal device for illustration. As Figure 11 shown, the electronic device includes a memory 1202 and a processor 1204. A computer program is stored in the memory 1202, and the processor 1204 is configured to execute the steps in any of the above method embodiments through the computer program.

[0144] Optionally, in this embodiment, the above electronic device can be at least one network device among multiple network devices of a computer network.

[0145] Optionally, in this embodiment, the above processor can be configured to execute the methods in the embodiments of the present application through a computer program.

[0146] Optionally, those of ordinary skill in the art can understand that Figure 11 the structure shown is only schematic, Figure 11 and it does not limit the structure of the above electronic device. For example, the electronic device may further include more or fewer components (such as a network interface, etc.) than those shown, or have a configuration different from that shown. Figure 11 shown, or have a different configuration from that Figure 11 shown.

[0147] Among them, the memory 1202 can be used to store software programs and modules, such as program instructions / modules corresponding to a method and device for simulating and evaluating the interception efficiency of a nuclear power plant barrier against marine organisms in the embodiments of the present application. The processor 1204 executes various functional applications and data processing by running the software programs and modules stored in the memory 1202, that is, implementing the above method. The memory 1202 may include a high-speed random access memory, and may further include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memories. In some instances, the memory 1202 may further include a memory remotely disposed relative to the processor 1204, and these remote memories can be connected to the terminal through a network. Examples of the above network include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and their combinations. Among them, the memory 1202 can specifically but not limitedly be used to store barrier deformation data information. As an example, as Figure 11As shown, the above-mentioned memory 1202 may but is not limited to include the first simulation module 901, calibration module 902, second simulation module 903, barrier establishment module 904, marine organism group construction module 905, and simulation evaluation module 906 in the above-mentioned simulation evaluation device for the interception efficiency of the nuclear power plant barrier against marine organisms. In addition, it may also include but is not limited to other module units in the above-mentioned device, which will not be elaborated in this example.

[0148] Optionally, the above-mentioned transmission device 1206 is used to receive or send data via a network. Specific examples of the above-mentioned network may include a wired network and a wireless network. In one example, the transmission device 1206 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices and routers through a network cable so as to communicate with the Internet or a local area network. In one example, the transmission device 1206 is a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0149] In addition, the above-mentioned electronic device further includes: a display 1208 for displaying the above-mentioned barrier deformation data; and a connection bus 1210 for connecting each module component in the above-mentioned electronic device.

[0150] In other embodiments, the above-mentioned terminal device or server may be a node in a distributed system, where the distributed system may be a blockchain system, and the blockchain system may be a distributed system formed by connecting the multiple nodes in a form of network communication. Among them, the nodes can form a peer-to-peer network, and any form of computing device, such as an electronic device like a server or a terminal, can become a node in the blockchain system by joining the peer-to-peer network.

[0151] According to one aspect of the present application, there is provided a computer-readable storage medium. The processor of the electronic device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the electronic device executes the methods provided in various optional implementation manners of the above-mentioned aspect.

[0152] Optionally, in this embodiment, the above-mentioned computer-readable storage medium may be set to store the methods for executing the embodiments of the present application.

[0153] Optionally, in this embodiment, those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by a program instructing the relevant hardware of the terminal device. The program can be stored in a computer-readable storage medium, and the storage medium can include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, an optical disk, etc.

[0154] The serial numbers of the embodiments of the present application above are only for description and do not represent the superiority or inferiority of the embodiments.

[0155] If the integrated unit in the above embodiments is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in the above computer-readable storage medium. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing one or more electronic devices to execute all or part of the steps of the methods described in the various embodiments of the present application.

[0156] In the above embodiments of the present application, the descriptions of the various embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0157] In the several embodiments provided by the present application, it should be understood that the disclosed application program can be implemented in other ways. Among them, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection can be through some interfaces. The indirect coupling or communication connection of units or modules can be in an electrical or other form.

[0158] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0159] In addition, in each embodiment of the present application, each functional unit can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0160] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

[0161] In summary, from the above description, it can be seen that the above embodiments of the present invention achieve the following technical effects:

[0162] 1. The present invention uses the first bidirectional coupling method to simulate and obtain the high-precision first deformation result of the fishing net, and calibrates the unidirectional coupling model based on the deformation result. The calibrated unidirectional coupling model combines the advantages of high-precision bidirectional coupling, can accurately and quickly simulate and obtain the second deformation result of the fishing net, and accordingly establish an accurate fishing net model. On this basis, a target marine organism group model is constructed and the second bidirectional coupling calculation method is used to simulate and evaluate the interception efficiency of the fishing net. This process can realize a systematic study from high-precision simulation to model calibration and then to interception efficiency evaluation, thus significantly improving the scientificity and reliability of fishing net design and providing strong technical support for relevant engineering applications.

[0163] 2. The present invention provides a simulation method for the interception effect of a trash net that can consider four key factors: the morphology, movement behavior, population generation of Acetes chinensis, and the deformation of the trash net under the action of water flow. Specifically, by selecting typical movement postures during the movement process of Acetes chinensis, spherical particles are used to fit the typical movement postures of Acetes chinensis, and the size change range of Acetes chinensis is set according to the Acetes chinensis population. This method can effectively simulate the Acetes chinensis group and reduce the workload and calculation time of simulation modeling. On this basis, the CFD and discrete element bidirectional coupling calculation method is used to evaluate the interception efficiency of the nuclear power plant fishing net for organisms, which can solve the problem in the prior art that it is difficult to accurately simulate the interception effect of Acetes chinensis.

[0164] It should be noted that in this text, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprising", "including" or any other variant thereof are intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0165] It should be noted that in the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, without contradiction, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

Claims

1. A simulation evaluation method for the interception efficiency of a nuclear power plant's barrier against marine organisms, characterized in that, Including: Simulating and obtaining the first deformation result of the fishing net by using the first bidirectional coupling method; Calibrating the unidirectional coupling model based on the first deformation result; Simulating and obtaining the second deformation result of the fishing net by using the calibrated unidirectional coupling model; Establishing a fishing net model based on the second deformation result; Constructing a target marine organism group; Based on the fishing net model, using the second bidirectional coupling calculation method to simulate and evaluate the interception efficiency of the fishing net for the target marine organisms.

2. The method according to claim 1, wherein The first bidirectional coupling method includes: a fluid-structure bidirectional coupling method.

3. The method according to claim 1, wherein The second bidirectional coupling method includes: a bidirectional coupling method between CFD and discrete element method.

4. The method according to claim 1, wherein The first deformation result includes: The grid node displacement of the fishing net and the magnitude of the reaction force between the fluid and the fishing net.

5. The method according to any one of claims 1 to 4, characterized in that Calibrating the unidirectional coupling model based on the first deformation result includes: Adjusting the pressure parameter of the unidirectional coupling model based on the first deformation result; Determining the calibration coefficient of the unidirectional coupling model based on the pressure parameter of the unidirectional coupling model; Calibrating the unidirectional coupling model based on the calibration coefficient.

6. The method according to claim 5, wherein The calibration coefficient is represented by Formula 1, and Formula 1 is: where b is the width of the open channel, h is the depth of the open channel, is the mesh parameter, d is the mesh cord parameter, v is the flow velocity of the open channel, and C, m, n, p, q, r are parameters to be calibrated.

7. The method according to claim 1, characterized in that, Establishing a fishing net model based on the second deformation result includes: Based on the second deformation result, selecting transverse feature points and fitting to generate a spline curve; Replicating the spline curve longitudinally in an array, and scanning the vertical lines of the array boundary along the spline curve to construct a wire mesh; Stretching the wire mesh to establish a fishing net model.

8. The method according to claim 1, characterized in that The target marine organisms include: Acetes chinensis, Acaudina molpadioides, and Crepidula aculeata.

9. The method according to claim 8, wherein Constructing an Acetes chinensis organism group includes: Determining the motion posture of the Acetes chinensis organism group; Fitting the motion posture of the Acetes chinensis with spherical particles, and constructing an Acetes chinensis organism group according to the fitted motion posture of the Acetes chinensis.

10. The method according to claim 9, wherein The motion postures of the Acetes chinensis organism group include a fully extended posture and a curled tail posture.

11. The method according to claim 9 or 10, characterized in that, The size distribution coefficient range of the Acetes chinensis in the Acetes chinensis organism group is 1 to 1.

6.

12. The method according to claim 9, characterized in that, Fitting the motion posture of the Acetes chinensis with spherical particles includes: Setting the radius of the spherical particles to the maximum size of the body cross-section of the Acetes chinensis organism group at the corresponding position.

13. The method according to claim 12, wherein The number of spheres is 10.

14. The method according to claim 1, characterized in that, The fishing net includes a plane net and a net pocket net.

15. A simulation evaluation device for the interception efficiency of a nuclear power plant barrier against marine organisms, characterized in that Including: A first simulation module for simulating and obtaining the first deformation result of the fishing net by using the first bidirectional coupling method; A calibration module for calibrating the unidirectional coupling model based on the first deformation result; A second simulation module for simulating and obtaining the second deformation result of the fishing net by using the calibrated unidirectional coupling model; A fishing net establishment module for establishing a fishing net model based on the second deformation result; A marine organism group construction module for constructing a target marine organism group; A simulation evaluation module for simulating and evaluating the interception efficiency of the fishing net for the target marine organisms by using the second bidirectional coupling calculation method based on the fishing net model.

16. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program, wherein the computer program can be executed by an electronic device to perform the method described in any one of claims 1 to 14.

17. A computer program product comprising a computer program, characterized in that, When the computer program is executed by a processor, it realizes the steps of the method described in any one of claims 1 to 14.

18. An electronic device, comprising a memory and a processor, characterized in that, A computer program is stored in the memory, and the processor is configured to execute the method described in any one of claims 1 to 14 through the computer program.

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