A method and device for analyzing two-dimensional numerical simulation results of a denitration SCR system in three dimensions

Abstract

The application relates to a method and device for three-dimensional analysis of two-dimensional numerical simulation results of a denitration SCR system. The specific scheme is as follows: a first two-dimensional numerical simulation result is obtained by simulating the operation process of a denitration SCR reactor based on a first two-dimensional geometric model; a second two-dimensional numerical simulation result is obtained by simulating the operation process of the denitration SCR reactor based on a second two-dimensional geometric model; target monitoring points on a target monitoring surface are determined based on the target monitoring surface; first weight values of first physical quantities of the target monitoring points in the first two-dimensional geometric model are determined based on first simulation physical quantity data; second weight values of second physical quantities of the target monitoring points in the second two-dimensional geometric model are determined based on second simulation physical quantity data; and three-dimensional physical parameters of the target monitoring points are determined based on the first weight values, the second weight values, the first simulation physical quantity data and the second simulation physical quantity data. The application improves the accuracy of simulation analysis of the denitration SCR reactor.

Description

Technical Field

[0001] This application relates to the field of computer technology, and in particular to a method and apparatus for three-dimensional analysis of two-dimensional numerical simulation results of a denitrification SCR system. Background Technology

[0002] In related technologies, CFD methods are typically used for flow field prediction and analysis when designing denitrification SCR systems. During the analysis, due to limitations such as computer memory, the model is simplified to improve computational efficiency. Steel structures are not included in the model, and porous media models are used to replace components like the rectifier grid and catalyst. These simplified models are usually two-dimensional. Two-dimensional models offer fast computation speeds, which is crucial in actual production where time constraints are high; faster numerical simulations improve efficiency and better guide actual production. However, using only two-dimensional models can lead to inaccurate analysis results for some structures. Summary of the Invention

[0003] Therefore, this application provides a method and apparatus for three-dimensional analysis of two-dimensional numerical simulation results of a denitrification SCR system. The technical solution of this application is as follows:

[0004] According to a first aspect of the present application, a method for three-dimensional analysis of two-dimensional numerical simulation results of a denitrification SCR system is provided, the method comprising:

[0005] The operation process of the denitrification SCR reactor is simulated based on the first two-dimensional geometric model to obtain the first two-dimensional numerical simulation results; the first two-dimensional numerical simulation results include the first simulated physical quantity data of the target detection surface in the first two-dimensional geometric model; the first two-dimensional geometric model is a two-dimensional geometric model of the denitrification SCR reactor established on the plane formed by the first direction and the second direction.

[0006] The operation process of the denitrification SCR reactor was simulated based on a second two-dimensional geometric model, and the second two-dimensional numerical simulation results were obtained. The second two-dimensional numerical simulation results include the second simulated physical quantity data of the target detection surface in the second two-dimensional geometric model. The second two-dimensional geometric model is a two-dimensional geometric model of the denitrification SCR reactor established on a plane formed by a second direction and a third direction. The third direction is perpendicular to the first direction and the second direction, respectively.

[0007] Based on the target monitoring surface, multiple target monitoring points are determined on the target monitoring surface;

[0008] Based on the first simulated physical quantity data, determine the first weight value of the first physical quantity of each of the plurality of target monitoring points in the first two-dimensional geometric model; based on the second simulated physical quantity data, determine the second weight value of the second physical quantity of each of the plurality of target monitoring points in the second two-dimensional geometric model.

[0009] Based on the first weight value, the second weight value, the first simulated physical quantity data, and the second simulated physical quantity data, the three-dimensional physical parameters of each of the plurality of target monitoring points are determined.

[0010] According to one embodiment of this application, based on the first simulated physical quantity data, determining a first weight value of a first physical quantity for each of the plurality of target monitoring points in the first two-dimensional geometric model, and based on the second simulated physical quantity data, determining a second weight value of a second physical quantity for each of the plurality of target monitoring points in the second two-dimensional geometric model, includes:

[0011] Based on the first simulated physical quantity data, the first physical quantity of each of the plurality of target monitoring points in the first two-dimensional geometric model is determined;

[0012] Based on multiple first physical quantities, determine the average value of the first physical quantities;

[0013] Based on the first physical quantity and the average value of the first physical quantity of each of the multiple target monitoring points, a first weight value is determined for each target monitoring point.

[0014] Based on the second simulated physical quantity data, the second physical quantity of each of the plurality of target monitoring points in the second two-dimensional geometric model is determined;

[0015] The average value of the second physical quantity is determined based on multiple second physical quantities;

[0016] Based on the second physical quantity and the average value of the second physical quantity of each of the multiple target monitoring points, the second weight value of each target monitoring point is determined.

[0017] According to one embodiment of this application, determining a first weight value for each target monitoring point based on a first physical quantity of each of the multiple target monitoring points and the average value of the first physical quantity includes:

[0018] For each target monitoring point, the first physical quantity of the target monitoring point is divided by the average value of the first physical quantity to obtain the first weight value of the target monitoring point.

[0019] According to one embodiment of this application, determining a second weight value for each target monitoring point based on its respective second physical quantity and the average value of the second physical quantity includes:

[0020] For each target monitoring point, the second physical quantity of the target monitoring point is divided by the average value of the second physical quantity to obtain the second weight value of the target monitoring point.

[0021] According to one embodiment of this application, both the first analog data and the second analog data include scalar physical quantities; determining the three-dimensional physical parameters of the target monitoring surface based on the first weight value, the second weight value, the first analog physical quantity data, and the second analog physical quantity data includes:

[0022] In response to the fact that the first and second physical quantities of the target monitoring point are scalar physical quantities, the first weight value and the second weight value are multiplied to obtain the three-dimensional weight value of the target monitoring point;

[0023] The average value of the first physical quantity and the average value of the second physical quantity are averaged to obtain the average value of the three-dimensional physical quantity.

[0024] The three-dimensional physical quantity is obtained by multiplying the average value of the three-dimensional physical quantity by the three-dimensional weight value of the target monitoring point.

[0025] According to one embodiment of this application, both the first analog quantity data and the second analog quantity data further include vector physical quantities; the first physical quantity includes a first physical quantity in the first direction, a first physical quantity in the second direction, and a first physical quantity in the third direction; the second physical quantity includes a second physical quantity in the first direction, a second physical quantity in the second direction, and a second physical quantity in the third direction; the first weight value includes a first weight value in the first direction, a first weight value in the second direction, and a first weight value in the third direction; the second weight value includes a second weight value in the first direction, a second weight value in the second direction, and a second weight value in the third direction; the step of determining the three-dimensional physical parameters of the target monitoring surface based on the first weight value, the second weight value, the first analog physical quantity data, and the second analog physical quantity data further includes:

[0026] In response to the fact that the first and second physical quantities of the target monitoring point are vector physical quantities, the first weight value and the second weight value are multiplied for each of the first direction, the second direction and the third direction to obtain the three-dimensional weight value of the target monitoring point.

[0027] The average value of the first physical quantity and the average value of the second physical quantity are averaged to obtain the average value of the three-dimensional physical quantity.

[0028] Multiply the average value of the three-dimensional physical quantity by the three-dimensional weight value of the target monitoring point to obtain the three-dimensional physical quantity of the target monitoring point in that direction.

[0029] According to one embodiment of this application, both the first two-dimensional geometric model and the second two-dimensional geometric model include a rectifier grid sub-model, a rectifier grid support beam model, and a catalyst layer sub-model.

[0030] According to a second aspect of the present application, a three-dimensional analysis device for two-dimensional numerical simulation results of a denitrification SCR system is provided, the device comprising:

[0031] The first simulation module is used to simulate the operation process of the denitrification SCR reactor based on a first two-dimensional geometric model to obtain a first two-dimensional numerical simulation result. The first two-dimensional numerical simulation result includes the first simulated physical quantity data of the target detection surface in the first two-dimensional geometric model. The first two-dimensional geometric model is a two-dimensional geometric model of the denitrification SCR reactor established on a plane formed by the first direction and the second direction.

[0032] The second simulation module is used to simulate the operation process of the denitrification SCR reactor based on a second two-dimensional geometric model to obtain second two-dimensional numerical simulation results. The second two-dimensional numerical simulation results include the second simulated physical quantity data of the target detection surface in the second two-dimensional geometric model. The second two-dimensional geometric model is a two-dimensional geometric model of the denitrification SCR reactor established on a plane formed by a second direction and a third direction. The third direction is perpendicular to the first direction and the second direction, respectively.

[0033] The first determining module is used to determine multiple target monitoring points on the target monitoring surface based on the target monitoring surface;

[0034] The second determining module is used to determine, based on the first simulated physical quantity data, a first weight value of a first physical quantity for each of the plurality of target monitoring points in the first two-dimensional geometric model; and to determine, based on the second simulated physical quantity data, a second weight value of a second physical quantity for each of the plurality of target monitoring points in the second two-dimensional geometric model.

[0035] The third determining module is used to determine the three-dimensional physical parameters of each of the plurality of target monitoring points based on the first weight value, the second weight value, the first simulated physical quantity data, and the second simulated physical quantity data.

[0036] According to a third aspect of the embodiments of this application, a storage medium is provided that, when instructions in the storage medium are executed by a processor of an electronic device, enables the electronic device to perform the method as described in any one of the first aspects.

[0037] According to a fourth aspect of the embodiments of this application, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, when the processor executes the computer program, it implements the method described in any one of the first aspects.

[0038] The technical solutions provided by the embodiments of this application have at least the following beneficial effects:

[0039] The operation of the denitrification SCR reactor was simulated using a first two-dimensional geometric model, yielding first two-dimensional numerical simulation results. The operation was then simulated using a second two-dimensional geometric model, yielding second two-dimensional numerical simulation results. Multiple target monitoring points were identified on the target monitoring surface. Based on the first simulated physical quantity data, the first weight value of the first physical quantity for each of the multiple target monitoring points in the first two-dimensional geometric model was determined. Based on the second simulated physical quantity data, the second weight value of the second physical quantity for each of the multiple target monitoring points in the second two-dimensional geometric model was determined. Finally, based on the first weight value, the second weight value, the first simulated physical quantity data, and the second simulated physical quantity data, the three-dimensional physical parameters of each of the multiple target monitoring points were determined. Thus, while ensuring improved computational efficiency in the numerical analysis of the denitrification SCR reactor model, the accuracy of the simulation analysis of the denitrification SCR reactor was improved through three-dimensional analysis of the two-dimensional numerical simulation results.

[0040] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0041] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application, and do not constitute an undue limitation of this application.

[0042] Figure 1 This is a flowchart illustrating a method for three-dimensional analysis of two-dimensional numerical simulation results of a denitrification SCR system, as described in an embodiment of this application.

[0043] Figure 2 This is a flowchart illustrating a method for three-dimensional analysis of two-dimensional numerical simulation results of a denitrification SCR system, as described in an embodiment of this application.

[0044] Figure 3 This is a block diagram of an electronic device according to an embodiment of this application. Detailed Implementation

[0045] To enable those skilled in the art to better understand the technical solutions of this application, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings.

[0046] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0047] It should be noted that in related technologies, the design of denitrification SCR systems typically employs CFD methods for flow field prediction and analysis. During this analysis, due to limitations such as computer memory, the model is simplified to improve computational efficiency. Steel structures are not included in the model, and components like the rectifier grid and catalyst are replaced with porous media models. These simplified models are usually two-dimensional. Understandably, two-dimensional models offer faster computation speeds, and in actual production with tight deadlines, faster numerical simulations improve efficiency and better guide actual production. However, using only two-dimensional models can lead to inaccurate analysis results for some structures.

[0048] To address the aforementioned issues, this application proposes a method and apparatus for three-dimensional analysis of two-dimensional numerical simulation results of a denitrification SCR system. This method enables the simulation of the operation of the denitrification SCR reactor based on a first two-dimensional geometric model to obtain first two-dimensional numerical simulation results; the simulation of the operation of the denitrification SCR reactor based on a second two-dimensional geometric model to obtain second two-dimensional numerical simulation results; the determination of multiple target monitoring points on the target monitoring surface based on target monitoring surface; the determination of first weight values ​​of first physical quantities for each of the multiple target monitoring points in the first two-dimensional geometric model based on first simulated physical quantity data; the determination of second weight values ​​of second physical quantities for each of the multiple target monitoring points in the second two-dimensional geometric model based on second simulated physical quantity data; and the determination of three-dimensional physical parameters for each of the multiple target monitoring points based on the first weight values, second weight values, first simulated physical quantity data, and second simulated physical quantity data. Thus, while ensuring improved computational efficiency of the numerical analysis of the denitrification SCR reactor model, the accuracy of the structural analysis results in the denitrification SCR system is improved through three-dimensional analysis of the two-dimensional numerical simulation results.

[0049] Figure 1 This is a flowchart illustrating a method for three-dimensional analysis of two-dimensional numerical simulation results of a denitrification SCR system, as described in an embodiment of this application.

[0050] like Figure 1 As shown, the method for three-dimensional analysis of the two-dimensional numerical simulation results of the denitrification SCR system includes:

[0051] Step 101: Simulate the operation process of the denitrification SCR reactor based on the first two-dimensional geometric model to obtain the first two-dimensional numerical simulation results.

[0052] In this embodiment of the application, the first two-dimensional numerical simulation result includes the first simulated physical quantity data of the target detection surface in the first two-dimensional geometric model.

[0053] In this embodiment of the application, the first two-dimensional geometric model is a two-dimensional geometric model of the denitrification SCR reactor established on the plane formed by the first direction and the second direction.

[0054] As a possible implementation example, a two-dimensional denitrification system model is established based on the denitrification SCR reactor. This model corresponds to the first and second directions of the denitrification system model, which can be defined as the X and Y directions. A first two-dimensional geometric model of the denitrification SCR reactor is established on the plane formed by the first and second directions. The operation process of the denitrification SCR reactor is simulated based on the first two-dimensional geometric model, and the first two-dimensional numerical simulation results are obtained.

[0055] Step 102: Simulate the operation process of the denitrification SCR reactor based on the second two-dimensional geometric model to obtain the second two-dimensional numerical simulation results.

[0056] In this embodiment of the application, the second two-dimensional numerical simulation result includes the second simulated physical quantity data of the target detection surface in the second two-dimensional geometric model.

[0057] In this embodiment of the application, the second two-dimensional geometric model is a two-dimensional geometric model of the denitrification SCR reactor established on the plane formed by the second direction and the third direction.

[0058] In this embodiment of the application, the third direction is perpendicular to the first direction and the second direction, respectively.

[0059] It is understandable that, based on the first and second directions, a third direction perpendicular to the first and second directions can be determined, thereby forming a three-dimensional space.

[0060] As a possible implementation example, a two-dimensional denitrification system model is established based on the second and third directions of the denitrification SCR reactor. These two directions can be defined as the Y direction and the Z direction. A second two-dimensional geometric model of the denitrification SCR reactor is established on the plane formed by the second and third directions. The operation process of the denitrification SCR reactor is simulated based on the second two-dimensional geometric model, and the second two-dimensional numerical simulation results are obtained.

[0061] As a possible example, the above-mentioned first two-dimensional geometric model can be established by the following method:

[0062] Step d1: CFD numerical simulation establishes a two-dimensional denitrification system model based on the two-dimensional plane formed by the denitrification SCR reactor system in the X and Y directions at a 1:1 scale.

[0063] Step d2 involves meshing the aforementioned two-dimensional geometric model to discretize it, meaning that the actual spatial continuous entity is described using a finite number of mesh nodes. The mesh near the rectifier grille support beam requires local refinement. During mesh generation, quadrilateral meshes are primarily used, with triangular meshes employed for transitional sections requiring local refinement.

[0064] Step d3: Import the above grid data into the fluid calculation software.

[0065] Step d4: In the fluid dynamics calculation software, establish a turbulence model, using the standard Ke two-equation model to simulate the flue gas flow inside the SCR denitrification reactor. Establish a discrete phase model to simulate the ash particle flow inside the SCR denitrification reactor.

[0066] Step d5: Based on the flue gas flow rate, dust flow rate, and inlet cross-sectional dimensions, calculate the inlet boundary conditions and discrete phase injection port boundary conditions.

[0067] Step d6: Use fluid analysis software to perform iterative calculations until the flue gas flow tends to stabilize.

[0068] Optionally, during iterative calculations, the flue gas phase flow field can be calculated first, and the solid phase can be coupled after the gas phase flow calculation has stabilized. Stability here means that the calculation equations for momentum, energy, etc., have reached equilibrium.

[0069] Step d7 involves focusing on statistically analyzing the simulation results of various parameters in the X and Y directions at the target detection surface.

[0070] It is understandable that the second two-dimensional geometric model can also be constructed using the methods proposed in steps d1-d7 above.

[0071] Step 103: Based on the target monitoring surface, determine multiple target monitoring points on the target monitoring surface.

[0072] Optionally, the aforementioned multiple target monitoring points can be randomly selected from multiple target monitoring points, or they can be selected according to preset rules.

[0073] Step 104: Based on the first simulated physical quantity data, determine the first weight value of the first physical quantity of each of the multiple target monitoring points in the first two-dimensional geometric model; based on the second simulated physical quantity data, determine the second weight value of the second physical quantity of each of the multiple target monitoring points in the second two-dimensional geometric model.

[0074] In some embodiments of this application, step 104 includes:

[0075] Step a1: Based on the first simulated physical quantity data, determine the first physical quantity of each of the multiple target monitoring points in the first two-dimensional geometric model.

[0076] It is understandable that the first simulated physical quantity data includes physical quantity data at different locations in the first two-dimensional geometric model. The first physical quantity of each target monitoring point in the first simulated physical quantity data can be found within the first simulated physical quantity data. Each target monitoring point can have one or more first physical quantities.

[0077] Step a2: Determine the average value of the first physical quantities based on multiple first physical quantities.

[0078] As a possible implementation example, the same first physical quantity of the above multiple target monitoring points can be added together, and the result of the addition can be divided by the number of target monitoring points to obtain the average value of the first physical quantity.

[0079] Step a3: Based on the first physical quantity and the average value of the first physical quantity of each of the multiple target monitoring points, determine the first weight value of each target monitoring point.

[0080] In this embodiment of the application, step a3 specifically includes: for each target monitoring point, dividing the first physical quantity of the target monitoring point by the average value of the first physical quantity to obtain the first weight value of the target monitoring point.

[0081] For example, in the first two-dimensional geometric model obtained in the X and Y directions, the simulation results of the first physical quantity of 5 to 10 target detection points are selected, the mean value Da of the first physical quantity of these 5 to 10 target detection points is calculated, and the first weight value σi = Di / Da is calculated for each target detection point.

[0082] Step a4: Based on the second simulated physical quantity data, determine the second physical quantity of each of the multiple target monitoring points in the second two-dimensional geometric model.

[0083] Step a5: Determine the average value of the second physical quantities based on multiple second physical quantities.

[0084] Step a6: Based on the second physical quantity and the average value of the second physical quantity of each of the multiple target monitoring points, determine the second weight value of each target monitoring point.

[0085] In this embodiment of the application, step a6 specifically includes: for each target monitoring point, dividing the second physical quantity of the target monitoring point by the average value of the first physical quantity to obtain the second weight value of the target monitoring point.

[0086] It is understandable that the method for determining the second weight value is the same as that for determining the first weight value, and will not be elaborated here.

[0087] It should be noted that there is no distinction between the order in which steps a1-a3 and steps a4-a6 are executed.

[0088] Step 105: Based on the first weight value, the second weight value, the first simulated physical quantity data, and the second simulated physical quantity data, determine the three-dimensional physical parameters of each of the multiple target monitoring points.

[0089] In some embodiments of this application, both the first analog data and the second analog data include scalar physical quantities, and step 105 includes:

[0090] Step b1: In response to the fact that the first and second physical quantities of the target monitoring point are scalar physical quantities, the first weight value and the second weight value are multiplied together to obtain the three-dimensional weight value of the target monitoring point.

[0091] For example, a scalar physical quantity can be gray concentration D. Gray concentration D has no direction, so the physical quantity parameter value of the target detection point can be obtained.

[0092] Step b2: Average the average value of the first physical quantity and the average value of the second physical quantity to obtain the average value of the three-dimensional physical quantity.

[0093] Step b3: Multiply the average value of the three-dimensional physical quantity by the three-dimensional weight value of the target monitoring point to obtain the three-dimensional physical quantity of the target monitoring point.

[0094] As an example of possible implementation, in the second two-dimensional geometric model obtained in the Y and Z directions, the average value of the second physical quantity Db and the second weight value σ of each target detection point are determined. j Then, the three-dimensional weight value σ of each target detection point is calculated. ij :

[0095] σ ij =σ i ×σ j

[0096] Calculate the three-dimensional physical quantity D of the target monitoring point:

[0097]

[0098] In some embodiments of this application, both the first analog data and the second analog data further include vector physical quantities; the first physical quantity includes a first physical quantity in a first direction, a first physical quantity in a second direction, and a first physical quantity in a third direction; the second physical quantity includes a second physical quantity in a first direction, a second physical quantity in a second direction, and a second physical quantity in a third direction; the first weight value includes a first weight value in a first direction, a first weight value in a second direction, and a first weight value in a third direction; the second weight value includes a second weight value in a first direction, a second weight value in a second direction, and a second weight value in a third direction; step 105 further includes:

[0099] Step c1: In response to the fact that the first and second physical quantities of the target monitoring point are vector physical quantities, for each of the first, second and third directions, the first weight value and the second weight value are multiplied to obtain the three-dimensional weight value of the target monitoring point.

[0100] For example, a vector physical quantity can be the gas phase velocity V of the flue gas, which can be decomposed into the velocity Vx in the x-direction and the velocity Vy in the y-direction.

[0101] Step c2: Average the average value of the first physical quantity and the average value of the second physical quantity to obtain the average value of the three-dimensional physical quantity.

[0102] Step c3: Multiply the average value of the three-dimensional physical quantity by the three-dimensional weight value of the target monitoring point to obtain the three-dimensional physical quantity of the target monitoring point in that direction.

[0103] In the first two-dimensional geometric model obtained in the X and Y directions, an average of 5 to 10 target detection points are selected. The two components Vx and Vy of the physical quantity V for each target detection point are determined, and the first physical quantity of Vx and Vy is determined. In the second two-dimensional geometric model obtained in the Y and Z directions, the two components Vz and Vy of the physical quantity V for each target detection point are determined, and the second physical quantity of Vz and Vy is determined.

[0104] Taking Vy as an example, using the weight value determination method proposed in any embodiment of this application, the first physical quantity average value Vya, the second physical quantity average value Vyb, and the proportion weights τi and τj of the physical quantity Vy at each point in the Y direction are determined. Then, τi and τj are multiplied to obtain the three-dimensional weight value τij. Using τij and the three-dimensional physical quantity average value, the three-dimensional physical quantity Vy of the target monitoring point in the Y direction can be calculated.

[0105]

[0106] It is understandable that Vx and Vz are calculated using the above method, and will not be elaborated upon here.

[0107] In some embodiments of this application, both the first two-dimensional geometric model and the second two-dimensional geometric model include a rectifier grid sub-model, a rectifier grid support beam model, and a catalyst layer sub-model.

[0108] According to the three-dimensional analysis method of two-dimensional numerical simulation results of a denitrification SCR system according to embodiments of this application, the operation process of the denitrification SCR reactor is simulated based on a first two-dimensional geometric model to obtain a first two-dimensional numerical simulation result; the operation process of the denitrification SCR reactor is simulated based on a second two-dimensional geometric model to obtain a second two-dimensional numerical simulation result; multiple target monitoring points on the target monitoring surface are determined based on the target monitoring surface; a first weight value of a first physical quantity for each of the multiple target monitoring points in the first two-dimensional geometric model is determined based on the first simulated physical quantity data; a second weight value of a second physical quantity for each of the multiple target monitoring points in the second two-dimensional geometric model is determined based on the second simulated physical quantity data; and three-dimensional physical parameters for each of the multiple target monitoring points are determined based on the first weight value, the second weight value, the first simulated physical quantity data, and the second simulated physical quantity data. Thus, while ensuring improved numerical analysis and calculation efficiency of the denitrification SCR reactor model, the accuracy of the structural analysis and calculation results in the denitrification SCR system is improved through three-dimensional analysis of the two-dimensional numerical simulation results.

[0109] Figure 2 This is a structural block diagram of a three-dimensional analysis device for two-dimensional numerical simulation results of a denitrification SCR system according to an embodiment of this application.

[0110] like Figure 2 As shown, the three-dimensional analysis device for the two-dimensional numerical simulation results of the denitrification SCR system includes:

[0111] The first simulation module 201 is used to simulate the operation process of the denitrification SCR reactor based on the first two-dimensional geometric model to obtain the first two-dimensional numerical simulation results. The first two-dimensional numerical simulation results include the first simulated physical quantity data of the target detection surface in the first two-dimensional geometric model. The first two-dimensional geometric model is a two-dimensional geometric model of the denitrification SCR reactor established on the plane formed by the first direction and the second direction.

[0112] The second simulation module 202 is used to simulate the operation process of the denitrification SCR reactor based on the second two-dimensional geometric model to obtain the second two-dimensional numerical simulation results. The second two-dimensional numerical simulation results include the second simulated physical quantity data of the target detection surface in the second two-dimensional geometric model. The second two-dimensional geometric model is a two-dimensional geometric model of the denitrification SCR reactor established on the plane formed by the second direction and the third direction. The third direction is perpendicular to the first direction and the second direction, respectively.

[0113] The first determining module 203 is used to determine multiple target monitoring points on the target monitoring surface based on the target monitoring surface;

[0114] The second determining module 204 is used to determine, based on the first simulated physical quantity data, the first weight value of the first physical quantity of each of the multiple target monitoring points in the first two-dimensional geometric model; and to determine, based on the second simulated physical quantity data, the second weight value of the second physical quantity of each of the multiple target monitoring points in the second two-dimensional geometric model.

[0115] The third determination module 205 is used to determine the three-dimensional physical parameters of each of the multiple target monitoring points based on the first weight value, the second weight value, the first simulated physical quantity data, and the second simulated physical quantity data.

[0116] The three-dimensional analysis device for two-dimensional numerical simulation results of a denitrification SCR system according to an embodiment of this application simulates the operation process of the denitrification SCR reactor based on a first two-dimensional geometric model to obtain a first two-dimensional numerical simulation result; it simulates the operation process of the denitrification SCR reactor based on a second two-dimensional geometric model to obtain a second two-dimensional numerical simulation result; based on the target monitoring surface, it determines multiple target monitoring points on the target monitoring surface; based on the first simulated physical quantity data, it determines the first weight value of the first physical quantity of each of the multiple target monitoring points in the first two-dimensional geometric model; based on the second simulated physical quantity data, it determines the second weight value of the second physical quantity of each of the multiple target monitoring points in the second two-dimensional geometric model; and based on the first weight value, the second weight value, the first simulated physical quantity data, and the second simulated physical quantity data, it determines the three-dimensional physical parameters of each of the multiple target monitoring points. Thus, while ensuring improved numerical analysis and calculation efficiency of the denitrification SCR reactor model, the accuracy of the structural analysis and calculation results in the denitrification SCR system is improved through three-dimensional analysis of the two-dimensional numerical simulation results.

[0117] Figure 3 This is a block diagram of an electronic device according to an embodiment of this application. For example... Figure 3 As shown, the electronic device may include: a transceiver 31, a processor 32, and a memory 33.

[0118] Processor 32 executes computer execution instructions stored in memory, causing processor 32 to perform the scheme in the above embodiments. Processor 32 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0119] The memory 33 is connected to the processor 32 via the system bus and completes communication between them. The memory 33 is used to store computer program instructions.

[0120] Transceiver 31 can be used to obtain the task to be run and its configuration information.

[0121] The system bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The system bus can be divided into address bus, data bus, control bus, etc. For ease of representation, only one thick line is used in the diagram, but this does not indicate that there is only one bus or one type of bus. Transceivers are used to enable communication between database access devices and other computers (e.g., clients, read-write libraries, and read-only libraries). Memory may include random access memory (RAM) and may also include non-volatile memory.

[0122] The electronic device provided in this application embodiment can be the terminal device described in the above embodiments.

[0123] This application also provides a chip for executing instructions, which is used to execute the message processing method described in the above embodiments.

[0124] This application also provides a computer-readable storage medium storing computer instructions that, when executed on a computer, cause the computer to perform the message processing method described in the above embodiments.

[0125] This application also provides a computer program product, which includes a computer program stored in a computer-readable storage medium. At least one processor can read the computer program from the computer-readable storage medium, and when the at least one processor executes the computer program, it can implement the technical solution of the message processing method in the above embodiments.

[0126] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

[0127] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A method for three-dimensional analysis of two-dimensional numerical simulation results of a denitrification SCR system, characterized in that, The method includes: The operation process of the denitrification SCR reactor is simulated based on the first two-dimensional geometric model to obtain the first two-dimensional numerical simulation results; the first two-dimensional numerical simulation results include the first simulated physical quantity data of the target detection surface in the first two-dimensional geometric model; the first two-dimensional geometric model is a two-dimensional geometric model of the denitrification SCR reactor established on the plane formed by the first direction and the second direction. The operation process of the denitrification SCR reactor was simulated based on a second two-dimensional geometric model, and the second two-dimensional numerical simulation results were obtained. The second two-dimensional numerical simulation results include the second simulated physical quantity data of the target detection surface in the second two-dimensional geometric model. The second two-dimensional geometric model is a two-dimensional geometric model of the denitrification SCR reactor established on a plane formed by a second direction and a third direction. The third direction is perpendicular to the first direction and the second direction, respectively. Based on the target detection surface, multiple target detection points are determined on the target detection surface; Based on the first simulated physical quantity data, determine the first weight value of the first physical quantity of each of the plurality of target detection points in the first two-dimensional geometric model; based on the second simulated physical quantity data, determine the second weight value of the second physical quantity of each of the plurality of target detection points in the second two-dimensional geometric model; including: Based on the first simulated physical quantity data, the first physical quantity of each of the plurality of target detection points in the first two-dimensional geometric model is determined; Based on multiple first physical quantities, determine the average value of the first physical quantities; Based on the first physical quantity and the average value of the first physical quantity of each of the multiple target detection points, the first weight value of each target detection point is determined respectively. Based on the second simulated physical quantity data, the second physical quantity of each of the plurality of target detection points in the second two-dimensional geometric model is determined; The average value of the second physical quantity is determined based on multiple second physical quantities; Based on the second physical quantity and the average value of the second physical quantity of each of the multiple target detection points, the second weight value of each target detection point is determined respectively. Based on the first weight value, the second weight value, the first simulated physical quantity data, and the second simulated physical quantity data, the three-dimensional physical parameters of each of the plurality of target detection points are determined.

2. The method according to claim 1, characterized in that, The step of determining a first weight value for each target detection point based on its respective first physical quantity and the average value of the first physical quantity includes: For each target detection point, the first physical quantity of the target detection point is divided by the average value of the first physical quantity to obtain the first weight value of the target detection point.

3. The method according to claim 1, characterized in that, The step of determining a second weight value for each target detection point based on its respective second physical quantity and the average value of the second physical quantity includes: For each target detection point, the second physical quantity of the target detection point is divided by the average value of the second physical quantity to obtain the second weight value of the target detection point.

4. The method according to claim 1, characterized in that, Both the first and second analog data include scalar physical quantities; determining the three-dimensional physical parameters of the target detection surface based on the first weight value, the second weight value, the first analog physical quantity data, and the second analog physical quantity data includes: In response to the fact that the first and second physical quantities of the target detection point are scalar physical quantities, the first weight value and the second weight value are multiplied to obtain the three-dimensional weight value of the target detection point; The average value of the first physical quantity and the average value of the second physical quantity are averaged to obtain the average value of the three-dimensional physical quantity. The three-dimensional physical quantity is obtained by multiplying the average value of the three-dimensional physical quantity by the three-dimensional weight value of the target detection point.

5. The method according to claim 1, characterized in that, Both the first analog data and the second analog data further include vector physical quantities; the first physical quantity includes a first physical quantity in the first direction, a first physical quantity in the second direction, and a first physical quantity in the third direction; the second physical quantity includes a second physical quantity in the first direction, a second physical quantity in the second direction, and a second physical quantity in the third direction; the first weight value includes a first weight value in the first direction, a first weight value in the second direction, and a first weight value in the third direction; the second weight value includes a second weight value in the first direction, a second weight value in the second direction, and a second weight value in the third direction; determining the three-dimensional physical parameters of the target detection surface based on the first weight value, the second weight value, the first analog physical data, and the second analog physical data further includes: In response to the fact that the first and second physical quantities of the target detection point are vector physical quantities, the first weight value and the second weight value are multiplied for each of the first direction, the second direction and the third direction to obtain the three-dimensional weight value of the target detection point. The average value of the first physical quantity and the average value of the second physical quantity are averaged to obtain the average value of the three-dimensional physical quantity. Multiply the average value of the three-dimensional physical quantity by the three-dimensional weight value of the target detection point to obtain the three-dimensional physical quantity of the target detection point in that direction.

6. The method according to claim 1, characterized in that, Both the first two-dimensional geometric model and the second two-dimensional geometric model include a rectifier grid sub-model, a rectifier grid support beam model, and a catalyst layer sub-model.

7. A device for three-dimensional analysis of two-dimensional numerical simulation results of a denitrification SCR system, characterized in that, The device includes: The first simulation module is used to simulate the operation process of the denitrification SCR reactor based on the first two-dimensional geometric model to obtain the first two-dimensional numerical simulation results. The first two-dimensional numerical simulation results include the first simulated physical quantity data of the target detection surface in the first two-dimensional geometric model. The first two-dimensional geometric model is a two-dimensional geometric model of the denitrification SCR reactor established on the plane formed by the first direction and the second direction. The second simulation module is used to simulate the operation process of the denitrification SCR reactor based on a second two-dimensional geometric model to obtain second two-dimensional numerical simulation results. The second two-dimensional numerical simulation results include the second simulated physical quantity data of the target detection surface in the second two-dimensional geometric model. The second two-dimensional geometric model is a two-dimensional geometric model of the denitrification SCR reactor established on a plane formed by a second direction and a third direction. The third direction is perpendicular to the first direction and the second direction, respectively. The first determining module is used to determine multiple target detection points on the target detection surface based on the target detection surface; The second determining module is configured to determine, based on the first simulated physical quantity data, a first weight value of a first physical quantity for each of the plurality of target detection points in the first two-dimensional geometric model; and to determine, based on the second simulated physical quantity data, a second weight value of a second physical quantity for each of the plurality of target detection points in the second two-dimensional geometric model; including: Based on the first simulated physical quantity data, the first physical quantity of each of the plurality of target detection points in the first two-dimensional geometric model is determined; Based on multiple first physical quantities, determine the average value of the first physical quantities; Based on the first physical quantity and the average value of the first physical quantity of each of the multiple target detection points, the first weight value of each target detection point is determined respectively. Based on the second simulated physical quantity data, the second physical quantity of each of the plurality of target detection points in the second two-dimensional geometric model is determined; The average value of the second physical quantity is determined based on multiple second physical quantities; Based on the second physical quantity and the average value of the second physical quantity of each of the multiple target detection points, the second weight value of each target detection point is determined respectively. The third determining module is used to determine the three-dimensional physical parameters of each of the plurality of target detection points based on the first weight value, the second weight value, the first simulated physical quantity data, and the second simulated physical quantity data.

8. A storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the method as described in any one of claims 1 to 6.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method according to any one of claims 1 to 6.

Images