Air conditioner model generation method and device and computer readable storage medium

Abstract

The invention relates to an air conditioner model generation method and device and a computer readable storage medium, and relates to the technical field of air conditioner design. The air conditioner model generation method comprises the steps that an initial model of an air conditioner is adjusted according to multiple sets of form adjusting parameters of branch pipelines of an air outlet of the air conditioner, so that multiple intermediate models of the air conditioner are obtained; according to the multiple intermediate models, multiple sets of air outlet parameters corresponding to the multiple sets of form adjusting parameters are calculated; and according to the target air outlet parameters, target adjusting parameters of the branch pipelines are determined through the corresponding relation between the multiple sets of form adjusting parameters and the multiple sets of air outlet parameters, and a target model of the air conditioner is generated. According to the technical scheme, the air conditioner design efficiency can be improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of air-conditioning design, and in particular to an air-conditioning model generation method, an air-conditioning model generation device, and a computer-readable storage medium. Background Art

[0002] In air conditioning system design, the air flow distribution at the air conditioner's outlet is a key parameter affecting comfort and performance. Therefore, during the air conditioner development process, the air flow distribution at the air conditioner outlet is often required to meet strict engineering specifications.

[0003] In related technologies, designers and simulators usually need to go through multiple rounds of iterative optimization to obtain an air-conditioning model that can achieve an ideal flow distribution effect. Summary of the Invention

[0004] The inventors of the present disclosure have discovered that the above-mentioned related technologies have the following problems: designers and simulation personnel need to communicate multiple times, and deviations are likely to occur during communication, resulting in low air conditioning design efficiency.

[0005] In view of this, the present disclosure proposes a technical solution for generating an air conditioning model, which can improve the efficiency of air conditioning design.

[0006] According to some embodiments of the present disclosure, a method for generating an air-conditioning model is provided, including: adjusting the initial model of the air-conditioning according to multiple groups of morphological adjustment parameters of the branch ducts of the air-conditioning outlet to obtain multiple intermediate models of the air-conditioning; calculating multiple groups of air outlet parameters corresponding to the multiple groups of morphological adjustment parameters according to the multiple intermediate models; and determining the target adjustment parameters of the branch ducts according to the target air outlet parameters by utilizing the correspondence between the multiple groups of morphological adjustment parameters and the multiple groups of air outlet parameters to generate a target model of the air-conditioning.

[0007] In some embodiments, based on the target air outlet parameters, the corresponding relationship is used to calculate the initial adjustment parameters corresponding to the target air outlet parameters; based on the initial adjustment parameters, the initial model of the air conditioner is adjusted to obtain a candidate model; based on the candidate model, the air outlet parameters to be verified corresponding to the candidate model are calculated; the initial adjustment parameters are verified using the air outlet parameters to be verified; in response to the initial adjustment parameters passing the verification, the initial adjustment parameters are determined as the target adjustment parameters, and the candidate model is determined as the target model.

[0008] In some embodiments, the initial adjustment parameter is verified according to whether the difference between the air output parameter to be verified and the target air output parameter is smaller than a threshold.

[0009] In some embodiments, the initial model is meshed to form a plurality of meshes on the initial model; and the plurality of meshes are adjusted according to a plurality of sets of morphological adjustment parameters.

[0010] In some embodiments, the mesh in the cross section of the branch pipe is adjusted in the meshed initial model according to the multiple sets of morphology adjustment parameters.

[0011] In some embodiments, the plurality of sets of morphology adjustment parameters include a shift amount of the minimum cross-section of the branch pipe along the normal direction.

[0012] In some embodiments, the multiple sets of morphology adjustment parameters are obtained by sampling within a sampling interval, and the sampling interval is determined according to relevant information of the cross section of the branch pipe.

[0013] In some embodiments, the sampling interval ensures that the area of ​​the cross section of the branch pipe adjusted according to the multiple sets of morphology adjustment parameters does not exceed the area of ​​the maximum cross section of the branch pipe.

[0014] In some embodiments, the number of the multiple sets of morphology adjustment parameters is positively correlated with the number of branch pipes.

[0015] In some embodiments, the multiple sets of air outlet parameters include multiple sets of air outlet volumes of the face-blowing vents corresponding to the branch pipes, and a three-dimensional flow field analysis is performed on each of the multiple intermediate models to obtain the multiple sets of air outlet volumes.

[0016] According to other embodiments of the present disclosure, an air-conditioning model generating device is provided, including: an adjustment unit for adjusting the initial model of the air conditioner according to multiple groups of morphological adjustment parameters of the branch ducts of the air-conditioning outlet to obtain multiple intermediate models of the air conditioner; a calculation unit for calculating multiple groups of air outlet parameters corresponding to the multiple groups of morphological adjustment parameters according to the multiple intermediate models; a determination unit for determining the target adjustment parameters of the branch ducts according to the target air outlet parameters by utilizing the correspondence between the multiple groups of morphological adjustment parameters and the multiple groups of air outlet parameters to generate a target model of the air conditioner.

[0017] In some embodiments, the determination unit calculates initial adjustment parameters corresponding to the target air outlet parameters based on the target air outlet parameters using a corresponding relationship; adjusts the initial model of the air conditioner based on the initial adjustment parameters to obtain a candidate model; calculates the air outlet parameters to be verified corresponding to the candidate model based on the candidate model; verifies the initial adjustment parameters using the air outlet parameters to be verified; in response to the initial adjustment parameters passing the verification, determines the initial adjustment parameters as the target adjustment parameters, and determines the candidate model as the target model.

[0018] In some embodiments, the determining unit verifies the initial adjustment parameter according to whether a difference between the air outlet parameter to be verified and the target air outlet parameter is smaller than a threshold.

[0019] In some embodiments, the adjustment unit performs gridding processing on the initial model to form a plurality of grids on the initial model; and adjusts the plurality of grids according to the plurality of sets of morphological adjustment parameters.

[0020] In some embodiments, the adjustment unit adjusts the mesh in the cross section of the branch pipe in the meshed initial model according to the multiple sets of morphological adjustment parameters.

[0021] In some embodiments, the plurality of sets of morphology adjustment parameters include a shift amount of the minimum cross-section of the branch pipe along the normal direction.

[0022] In some embodiments, the multiple sets of morphology adjustment parameters are obtained by sampling within a sampling interval, and the sampling interval is determined according to relevant information of the cross section of the branch pipe.

[0023] In some embodiments, the sampling interval ensures that the area of ​​the cross section of the branch pipe adjusted according to the multiple sets of morphology adjustment parameters does not exceed the area of ​​the maximum cross section of the branch pipe.

[0024] In some embodiments, the number of the multiple sets of morphology adjustment parameters is positively correlated with the number of branch pipes.

[0025] In some embodiments, the multiple sets of air outlet parameters include multiple sets of air outlet volumes of the face-blowing vents corresponding to the branch pipes, and the calculation unit performs a three-dimensional flow field analysis on each of the multiple intermediate models to obtain the multiple sets of air outlet volumes.

[0026] According to some further embodiments of the present disclosure, an air conditioning model generating device is provided, comprising: a memory; and a processor coupled to the memory, wherein the processor is configured to execute the air conditioning model generating method in any one of the above embodiments based on instructions stored in the memory device.

[0027] According to some further embodiments of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored. When the program is executed by a processor, the air-conditioning model generating method in any of the above embodiments is implemented.

[0028] According to some further embodiments of the present disclosure, a computer program product is provided, comprising instructions, which, when executed by a processor, enable the processor to execute the air-conditioning model generating method according to any one of the above embodiments.

[0029] In the above embodiment, the initial model of the air conditioner is adjusted using multiple sets of morphology adjustment parameters to determine multiple sets of airflow parameters corresponding to the multiple sets of morphology adjustment parameters. Furthermore, the target adjustment parameters corresponding to the target airflow parameters are determined based on the correspondence between the morphology adjustment parameters and the airflow parameters. This reduces the number of communications between designers and simulation personnel and allows the target model of the air conditioner to be accurately determined. This can shorten the air conditioner design cycle and improve air conditioner design efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0031] The present disclosure can be more clearly understood from the following detailed description with reference to the accompanying drawings, in which:

[0032] Figure 1 Flowcharts showing some embodiments of the air conditioning model generation method disclosed herein;

[0033] Figure 2 Schematic diagrams showing some embodiments of the air-conditioning model generation method disclosed herein;

[0034] Figure 3 A block diagram showing some embodiments of the air conditioning model generating device disclosed herein;

[0035] Figure 4 A block diagram showing some other embodiments of the air conditioning model generating device disclosed herein;

[0036] Figure 5 A block diagram showing some further embodiments of the air-conditioning model generating device of the present disclosure. DETAILED DESCRIPTION

[0037] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that unless otherwise specifically stated, the relative arrangement of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present disclosure.

[0038] At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0039] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the present disclosure, its application, or uses.

[0040] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered part of the specification.

[0041] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0042] It should be noted that like reference numerals and letters refer to like items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0043] As mentioned previously, the air conditioning design process requires numerous rounds of iterative optimization by designers and simulation engineers to achieve the desired state. This iterative process typically involves the designer providing an initial solution, which the simulation engineer performs pre-processing. After three-dimensional flow field analysis, the designer then updates the model based on this feedback and submits the simulation analysis again, repeating this process until the simulation results meet the requirements.

[0044] To address the above technical issues, the present disclosure provides an air conditioner model generation method. This method can adjust the initial model of an air conditioner using multiple sets of morphological adjustment parameters to determine multiple sets of air flow parameters corresponding to the multiple sets of morphological adjustment parameters. Furthermore, the method determines target adjustment parameters corresponding to the target air flow parameters based on the correspondence between the morphological adjustment parameters and the air flow parameters. This method reduces the number of communications between designers and simulation personnel and accurately determines the target model of the air conditioner. This method can shorten the air conditioner design cycle and improve its efficiency.

[0045] For example, the technical solutions of the present disclosure can be implemented through the following embodiments.

[0046] Figure 1 A flowchart illustrating some embodiments of the air-conditioning model generating method of the present disclosure.

[0047] like Figure 1 As shown, in step 110, the initial model of the air conditioner is adjusted based on multiple sets of morphological adjustment parameters of the branch ducts at the air conditioner outlet to obtain multiple intermediate models of the air conditioner. For example, the multiple sets of morphological adjustment parameters include the displacement of the minimum cross section of the branch duct along the normal direction.

[0048] For example, the air conditioning model includes multiple branch pipes, and each of the multiple groups of morphological adjustment parameters includes multiple morphological adjustment parameters, which respectively represent the movement amount of the minimum cross section of each branch pipe along the normal direction.

[0049] In this way, by adjusting the shapes of the branch pipes in the initial model of the air conditioner through multiple sets of shape adjustment parameters, the air flow characteristics in the air conditioner can be adjusted more accurately, thereby improving the accuracy of the air conditioner design.

[0050] In step 120, multiple sets of airflow parameters corresponding to the multiple sets of morphology adjustment parameters are calculated based on the multiple intermediate models. For example, the multiple sets of airflow parameters include multiple sets of airflow volumes of the face-blowing vents corresponding to the branch ducts.

[0051] For example, each set of air outlet parameters includes multiple air outlet parameters, which respectively represent the air outlet volume of the surface air outlet corresponding to each branch pipe.

[0052] In this way, by calculating multiple sets of air outlet parameters, the influence of different morphological adjustment parameters on the air outlet parameters of the blowing surface air outlet of the branch duct can be obtained more accurately, thereby improving the accuracy of air conditioning design.

[0053] In step 130, based on the target airflow parameters, the target adjustment parameters for the branch ducts are determined using the correspondence between the multiple sets of morphology adjustment parameters and the multiple sets of airflow parameters to generate a target model for the air conditioner. For example, the target airflow parameters may include the target airflow rate for the corresponding face air outlet of each branch duct. This automatic determination of the target adjustment parameters for the branch ducts based on these correspondences avoids errors caused by excessive human intervention, thereby improving the accuracy of the air conditioner design.

[0054] In the above embodiment, the initial model of the air conditioner is adjusted using multiple sets of morphology adjustment parameters to determine multiple sets of airflow parameters corresponding to the multiple sets of morphology adjustment parameters. Furthermore, the target adjustment parameters corresponding to the target airflow parameters are determined based on the correspondence between the morphology adjustment parameters and the airflow parameters. This reduces the number of communications between designers and simulation personnel and allows the target model of the air conditioner to be accurately determined. This can shorten the air conditioner design cycle and improve air conditioner design efficiency.

[0055] The technical solution of adjusting the initial model of the air conditioner in step 110 is exemplarily described below through some embodiments.

[0056] In some embodiments, the multiple sets of morphology adjustment parameters are obtained by sampling within a sampling interval, and the sampling interval is determined according to relevant information of the cross section of the branch pipe.

[0057] For example, multiple sets of morphological adjustment parameters can be sampled using the super-Latin method to ensure uniform distribution of the selected samples.

[0058] For example, the cross-sectional information includes the area of ​​the minimum cross-sectional area of ​​the branch pipe, the area of ​​the maximum cross-sectional area, the area of ​​the cross-sectional area to be adjusted, etc. Different branch pipes correspond to different sampling intervals according to the relevant information of different cross-sectional areas.

[0059] In some embodiments, the multiple sets of morphology adjustment parameters include the amount of movement of the minimum cross-section of the branch pipe along the normal direction. For example, the sampling interval ensures that the area of ​​the cross-section of the branch pipe adjusted according to the multiple sets of morphology adjustment parameters does not exceed the area of ​​the maximum cross-section of the branch pipe.

[0060] In this way, the occurrence of branch pipe shapes that do not meet actual design requirements during the air conditioning model adjustment process can be reduced, thereby improving the reliability of the air conditioning design.

[0061] In some embodiments, the number of sets of morphology adjustment parameters is positively correlated with the number of branch pipes. For example, if each set of morphology adjustment parameters includes d variables, i.e., adjustments are made to d branch pipes at the air conditioner outlet, the sample size can be defined as 10d, i.e., 10d sets of morphology adjustment parameters are selected.

[0062] In this way, excessive consumption of computing resources can be avoided by adjusting the correlation between the number of multiple sets of morphological adjustment parameters and the number of branch pipelines.

[0063] The following uses some embodiments to illustrate how to adjust the initial model of the air conditioner according to the selected multiple groups of morphological adjustment parameters.

[0064] In some embodiments, the initial model may be meshed to form multiple meshes on the initial model, and the multiple meshes may be adjusted based on multiple sets of morphology adjustment parameters. For example, based on multiple sets of morphology adjustment parameters, the meshes in the cross section of the branch pipe in the meshed initial model may be adjusted.

[0065] In this way, by forming multiple grids in the initial model and adjusting the cross-sectional area of ​​the branch pipe in units of grids, the accuracy of the air conditioning model adjustment can be improved, thereby improving the efficiency of the air conditioning design.

[0066] For example, the cross section of the branch pipe can be reduced or expanded by defining the amount of movement of the grid points inward or outward along the normal direction. The multiple variables included in a set of morphological adjustment parameters can be negative or positive numbers respectively.

[0067] For example, if the variable is set to -1, it means that the grid points in the cross section of the narrowest part of the branch pipe of the air conditioner outlet are moved inward by 1mm along the normal direction, so that the area of ​​the cross section is reduced by about 200mm. 2 .

[0068] Below through Figure 2 The embodiment in exemplarily illustrates how to adjust the initial model of the air conditioner in units of grids by adjusting the morphological parameters.

[0069] Figure 2 Schematic diagrams showing some embodiments of the air-conditioning model generation method disclosed herein.

[0070] like Figure 2 As shown, the morphological adjustment parameters consist of four different variable values, which respectively represent the movement of the narrowest cross section of the four branch pipes, and are used to adjust the grid in the cross section of each branch pipe in the meshed initial model.

[0071] Reference Figure 2, design variable_1, design variable_2, design variable_3, and design variable_4 correspond to the movement of the minimum cross-section of the four branch pipes, such as Figure 2 As shown, the current values ​​corresponding to the four design variables are -2, 1, -1, and 2, respectively. The positive or negative value of the current value represents the direction of movement of the cross section along the normal direction. Taking the branch pipe 1 of the air-conditioning outlet corresponding to the design variable_1 as an example, the current value of the design variable_1 is -2, then the grid point of the minimum cross section of the branch pipe 1 needs to be moved 2mm inward along the normal direction. Similarly, the grid point at the narrowest point of the branch pipe 2 of the air-conditioning outlet needs to be moved 1mm outward along the normal direction; the grid point at the narrowest point of the branch pipe 3 of the air-conditioning outlet needs to be moved 1mm inward along the normal direction; the grid point at the narrowest point of the branch pipe 4 of the air-conditioning outlet needs to be moved 2mm outward along the normal direction. The minimum value of the four design variables is -5, and the maximum value is 5. Therefore, the sampling interval of each design variable is -5mm to 5mm.

[0072] For example, the deformation control file morph.dat can be called to adjust parameters according to multiple sets of morphologies, and the meshed initial model can be deformed to output a new mesh file toFace.nas, which overwrites the mesh file of the meshed initial model.

[0073] After adjusting the initial model of the air conditioner through the above embodiment and obtaining the intermediate model, the Figure 1 Step 120 in the embodiment calculates the wind parameters of the intermediate model.

[0074] The following describes the technical solution for calculating multiple sets of air outlet parameters in step 120 through some embodiments.

[0075] In some embodiments, the multiple sets of air outlet parameters include multiple sets of air outlet volumes of the face-blowing vents corresponding to the branch pipes, and a three-dimensional flow field analysis is performed on each of the multiple intermediate models to obtain the multiple sets of air outlet volumes.

[0076] In this way, the state of air flow can be simulated more comprehensively, thereby more accurately evaluating the air output of each branch duct corresponding to the blowing surface air outlet, thereby improving the accuracy of air conditioning design.

[0077] For example, the three-dimensional flow field analysis can be set up according to the conventional calculation setting method, the inlet flow rate can be set to 4 kg / s, and the air volume of the blowing surface air outlets corresponding to the four branch pipes can be set to the monitoring value to obtain multiple groups of air volume.

[0078] For example, when performing a three-dimensional flow field analysis, you can use macro commands to record the operation process as a macro command file. In this way, you can call the macro command file to calculate the air volume each time a three-dimensional flow field analysis is performed, avoiding repeated operations and improving the efficiency of air conditioning design.

[0079] For example, the recorded macro command file control.java can be used to automatically import the new mesh file toFace.nas output by the deformation control file into the three-dimensional flow field analysis file toFace_cal for three-dimensional flow field analysis, and automatically combine the calculation results with the corresponding morphological adjustment parameters. The calculation results 4out.xlsx file is shown in Table 1.

[0080] For example, referring to Table 1, each 3D flow analysis requires multiple iterations (e.g., 1000) to calculate the actual airflow data. In other words, for each 3D flow analysis, only the results from the last iteration (the 1000th iteration) in the 4out.xlsx file are used as the airflow data. In other words, after each 3D flow analysis, the calculation results file 4out.xlsx is retrieved and the last set of data (e.g., the 1000th set) is used as the result of that 3D flow analysis.

[0081] Table 1 exemplarily shows the obtained calculation results 4out.xlsx file.

[0082] Table 1

[0083] After obtaining the airflow parameters corresponding to each set of shape adjustment parameters, the above steps are automatically repeated until all sets of shape adjustment parameters are calculated. After all sets of shape adjustment parameters are calculated, a table file toFace4.dat is obtained. Each row in the table in toFace4.dat file contains the values ​​of four variables and the corresponding airflow of the four face-blowing air outlets.

[0084] After obtaining multiple sets of shape adjustment parameters and corresponding multiple sets of air flow parameters, you can Figure 1 The solution in step 130 determines the target model of the air conditioner.

[0085] The method for determining the target model of the air conditioner in step 130 is exemplarily described below through some embodiments.

[0086] In some embodiments, initial adjustment parameters corresponding to the target airflow parameters are calculated using a corresponding relationship based on the target airflow parameters. For example, a proxy model can be used to express the corresponding relationship between multiple sets of morphological adjustment parameters and multiple sets of airflow parameters in the output grid file in the form of a mathematical relationship.

[0087] For example, the proxy model may be a Kriging model, and the table file toFace4.dat output in step 120 may be imported into the Kriging model, and then connected to an optimization algorithm (eg, a genetic algorithm) for optimization analysis to obtain initial adjustment parameters corresponding to the target air output parameters.

[0088] For example, the four target values ​​of the target air outlet parameters can all be set to 1 kg / s, corresponding to the target air outlets of the four face-blowing air outlets, and the initial adjustment parameters can be obtained through the optimization algorithm.

[0089] In this way, the initial adjustment parameters corresponding to the target air outlet parameters of the branch pipe are automatically determined through the corresponding relationship, avoiding errors caused by excessive human intervention, thereby improving the accuracy of air conditioning design.

[0090] In some embodiments, an initial model of the air conditioner is adjusted based on initial adjustment parameters to obtain a candidate model; based on the candidate model, an air flow parameter to be verified corresponding to the candidate model is calculated; the initial adjustment parameters are verified using the air flow parameter to be verified; and in response to the initial adjustment parameters passing verification, the initial adjustment parameters are determined as target adjustment parameters, and the candidate model is determined as the target model. For example, the initial adjustment parameters are verified based on whether the difference between the air flow parameter to be verified and the target air flow parameter is less than a threshold.

[0091] For example, the initial adjustment parameters output by the optimization model can be rewritten into the deformation control file morph.dat to output a new grid file, and then the new grid file can be imported into the three-dimensional flow field analysis file to perform a single three-dimensional flow field analysis. According to the analysis results, it is determined whether the air outlet parameters to be verified basically meet the requirements of the target air outlet parameters.

[0092] For example, when the air outlet parameters to be verified meet the requirements of the target air outlet parameters, the initial adjustment parameters can be considered as the target adjustment parameters, and the corresponding candidate model is the target model of the air conditioner; when the air outlet parameters to be verified do not meet the requirements of the target air outlet parameters, the parameters set in the Kriging model can be adjusted, such as increasing the values ​​of the set parameters.

[0093] In this way, through automated verification and adjustment, errors caused by human intervention can be avoided, thereby improving the accuracy of air conditioning design and shortening the development cycle.

[0094] In the above embodiment, the initial model of the air conditioner is adjusted using multiple sets of morphology adjustment parameters to determine multiple sets of airflow parameters corresponding to the multiple sets of morphology adjustment parameters. Furthermore, the target adjustment parameters corresponding to the target airflow parameters are determined based on the correspondence between the morphology adjustment parameters and the airflow parameters. This reduces the number of communications between designers and simulation personnel and allows the target model of the air conditioner to be accurately determined. This can shorten the air conditioner design cycle and improve air conditioner design efficiency.

[0095] The following takes a commercial vehicle air conditioner as an example to illustrate the technical solution of the target model for designing the air conditioner.

[0096] In some embodiments, the initial model of the air conditioner can be provided by a simulation personnel, and the target requirement of the air distribution ratio can be obtained by referring to the design specifications.

[0097] For example, by coordinating with the air conditioning system designer, we can obtain a model of the HVAC (Heating, Ventilation, and Air Conditioning) system and its branch ducts for this vehicle model. By consulting the air conditioning design specifications, we can determine that the air distribution ratio for the four face-blowing vents is 1:1:1:1.

[0098] In some embodiments, after obtaining the initial model and the target requirement for the air distribution ratio, pre-processing may be performed first to facilitate the subsequent determination of the target model for air conditioning.

[0099] For example, the initial model can be divided into surface meshes first, and the task management mode can be turned on, and the movement amount of the grid points at the narrowest part of the four branch pipes can be set as a variable. By defining the movement amount of the grid points at that location along the normal, inward or outward, the cross section of the branch pipe can be reduced or expanded. The movement amount can be negative or positive, representing different movement directions along the normal. For example, setting the variable to -1 means that the grid point at the narrowest part of the branch pipe of the air-conditioning outlet moves 1mm inward along the normal, and the cross-sectional area is reduced by about 200mm. 2 In addition, you can output the deformation control file and modify the name to morph.dat, such as Figure 2 The deformation control file contains four variable names and their values. After the process is complete, the deformation control file morph.dat and the mesh file toFace.nas are output.

[0100] For example, after pre-processing, deformation control files, macro command files, grid files, and three-dimensional simulation model files can be output for subsequent use in designing the target model of the air conditioner.

[0101] In some embodiments, after pre-processing, a three-dimensional flow field analysis can be performed based on the grid file. For example, when performing a three-dimensional flow field analysis, the operation process can be recorded as a macro command file using macro commands.

[0102] For example, first create a new file named toFace_cal and save it. Recall the 3D flow field analysis file toFace_cal. Then, enable macro recording and set up the 3D flow field analysis using the standard calculation settings. Set the inlet flow rate to 4 kg / s and the airflow from the four face-blowing vents to monitoring values. This process will output the macro file control.java and the calculation results file 4out.xlsx.

[0103] In this way, by recording the three-dimensional flow field analysis process as a macro command file, the macro command file can be directly and automatically called when the three-dimensional flow field analysis is repeated subsequently, thereby reducing repeated operations and improving efficiency.

[0104] After the pre-processing and 3D flow field analysis operations are recorded, the target model of the air conditioner can be determined through the following steps.

[0105] First, a sampling process is established, which utilizes the superlattice method to select multiple sets of morphological adjustment parameters. The number of morphological adjustment parameter sets must be determined based on the number of variables contained in the morphological adjustment parameters. As previously mentioned, each set of morphological adjustment parameters contains d variables, so 10d sets of morphological adjustment parameters are selected. This requirement requires the selection of approximately 40 sample points for the four variables, or 40 sets of morphological adjustment parameters. Each sample point includes four variable values, for example: -2, 1, -1, 2, which respectively indicate that the grid point at the narrowest point of branch duct 1 of the air conditioning outlet is shifted inward by 2 mm along the normal direction, the grid point at the narrowest point of branch duct 2 of the air conditioning outlet is shifted outward by 1 mm along the normal direction, the grid point at the narrowest point of branch duct 3 of the air conditioning outlet is shifted inward by 1 mm along the normal direction, and the grid point at the narrowest point of branch duct 4 of the air conditioning outlet is shifted outward by 2 mm along the normal direction.

[0106] After determining the morphological adjustment parameters, the deformation control file morph.dat, output from the preprocessing process, is automatically called. The mesh file corresponding to the initial model is automatically deformed according to the four variable values ​​in each set of morphological adjustment parameters. This controls the update of the mesh file, outputting a new mesh file, toFace.nas, which overwrites the meshed mesh file of the initial model. The macro command file control.java, output from the preprocessing process, is then used to call the new mesh file, toFace.nas, and import it into the 3D flow field analysis file, toFace_cal, for 3D flow field analysis. After the analysis is complete, the calculation results are combined with the corresponding morphological adjustment parameters and the process is automatically repeated until all sample points have been calculated, meaning that all 40 sets of morphological adjustment parameters have been calculated.

[0107] After calculating all the morphological adjustment parameters, a table file (toFace4.dat) is generated. Each row in the table contains the values ​​of four variables and the airflow rate of the four face-blowing vents. Import the table file toFace4.dat into the Kriging model and then connect it to an optimization algorithm (such as a genetic algorithm) for optimization analysis. Set the four target values ​​of the target airflow parameters to 1 kg / s, corresponding to the target airflow rate of the four face-blowing vents. Use the optimization algorithm to obtain the initial adjustment parameters.

[0108] Finally, the initial adjustment parameters can be verified and rewritten into the deformation control file morph.dat. Then, a three-dimensional flow field analysis is performed once. According to the analysis results, it is determined whether the air outlet parameters to be verified basically meet the requirements of the target air outlet parameters.

[0109] After the target adjustment parameters are determined, the variable changes corresponding to each branch pipeline and the air conditioning target model are fed back to the designer to proceed with the normal development process.

[0110] Through the above-mentioned technical solution of integrated optimization of air distribution of commercial vehicle air-conditioning vents, designers only need to provide the initial model of the air conditioner, and simulators only need to process and calculate the initial model once in the pre-processing. The rest of the process can be carried out automatically without manual operation, which frees up manual iterative labor and can be carried out uninterruptedly, shortening the design cycle of commercial vehicle air conditioners, thereby improving the efficiency and accuracy of air-conditioning design.

[0111] Figure 3 A block diagram showing some embodiments of the air-conditioning model generating device of the present disclosure.

[0112] According to other embodiments of the present disclosure, a first air-conditioning model generating device 3 is provided, including: an adjustment unit 31, used to adjust the initial model of the air conditioner according to multiple groups of morphological adjustment parameters of the branch ducts of the air-conditioning outlet, so as to obtain multiple intermediate models of the air conditioner; a calculation unit 32, used to calculate multiple groups of air outlet parameters corresponding to the multiple groups of morphological adjustment parameters according to the multiple intermediate models; a determination unit 33, used to determine the target adjustment parameters of the branch duct according to the target air outlet parameters and using the correspondence between the multiple groups of morphological adjustment parameters and the multiple groups of air outlet parameters, so as to generate the target model of the air conditioner.

[0113] In some embodiments, the determination unit 33 calculates the initial adjustment parameters corresponding to the target air outlet parameters based on the target air outlet parameters using the corresponding relationship; adjusts the initial model of the air conditioner based on the initial adjustment parameters to obtain a candidate model; calculates the air outlet parameters to be verified corresponding to the candidate model based on the candidate model; verifies the initial adjustment parameters using the air outlet parameters to be verified; in response to the initial adjustment parameters passing the verification, determines the initial adjustment parameters as the target adjustment parameters, and determines the candidate model as the target model.

[0114] In some embodiments, the determining unit 33 verifies the initial adjustment parameter according to whether the difference between the to-be-verified air output parameter and the target air output parameter is smaller than a threshold.

[0115] In some embodiments, the adjustment unit 31 performs gridding processing on the initial model to form a plurality of grids on the initial model; and adjusts the plurality of grids according to a plurality of sets of morphological adjustment parameters.

[0116] In some embodiments, the adjustment unit 31 adjusts the mesh in the cross section of the branch pipe in the meshed initial model according to the multiple sets of morphological adjustment parameters.

[0117] In some embodiments, the plurality of sets of morphology adjustment parameters include a shift amount of the minimum cross-section of the branch pipe along the normal direction.

[0118] In some embodiments, the multiple sets of morphology adjustment parameters are obtained by sampling within a sampling interval, and the sampling interval is determined according to the cross-sectional area of ​​the branch pipe.

[0119] In some embodiments, the sampling interval ensures that the area of ​​the cross section of the branch pipe adjusted according to the multiple sets of morphology adjustment parameters does not exceed the area of ​​the maximum cross section of the branch pipe.

[0120] In some embodiments, the number of the multiple sets of morphology adjustment parameters is positively correlated with the number of branch pipes.

[0121] In some embodiments, the multiple sets of air outlet parameters include multiple sets of air outlet volumes of the face-blowing vents corresponding to the branch pipes. The calculation unit 32 performs a three-dimensional flow field analysis on each of the multiple intermediate models to obtain the multiple sets of air outlet volumes.

[0122] Figure 4 A block diagram showing some other embodiments of the air-conditioning model generating device of the present disclosure.

[0123] like Figure 4 As shown, the second air-conditioning model generating device 4 of this embodiment includes: a first memory 41 and a first processor 42 coupled to the first memory 41, and the first processor 42 is configured to execute the air-conditioning model generating method in any one embodiment of the present disclosure based on the instructions stored in the first memory 41.

[0124] The first memory 41 may include, for example, a system memory, a fixed non-volatile storage medium, etc. The system memory may store, for example, an operating system, an application program, a boot loader, a database, and other programs.

[0125] Figure 5 A block diagram showing some further embodiments of the air-conditioning model generating device of the present disclosure.

[0126] like Figure 5 As shown, the third air-conditioning model generating device 5 of this embodiment includes: a second memory 510 and a second processor 520 coupled to the second memory 510, and the second processor 520 is configured to execute the air-conditioning model generating method in any one of the aforementioned embodiments based on the instructions stored in the second memory 510.

[0127] The second memory 510 may include, for example, a system memory, a fixed non-volatile storage medium, etc. The system memory may store, for example, an operating system, application programs, a boot loader, and other programs.

[0128] The third air conditioning model generation device 5 may further include an input / output interface 530, a network interface 540, a storage interface 550, and the like. These interfaces 530, 540, 550, and the second memory 510 and the second processor 520 may be connected, for example, via a bus 560. The input / output interface 530 provides a connection interface for input / output devices such as a display, mouse, keyboard, touch screen, microphone, and speakers. The network interface 540 provides a connection interface for various networked devices. The storage interface 550 provides a connection interface for external storage devices such as SD cards and USB flash drives.

[0129] Those skilled in the art will appreciate that embodiments of the present disclosure may be provided as methods, systems, or computer program products. Thus, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present disclosure may take the form of a computer program product implemented on one or more computer-usable, non-transitory storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0130] The air conditioning model generation method, air conditioning model generation method apparatus, or computer program product according to the present disclosure has been described in detail. To avoid obscuring the present disclosure, some details known in the art have been omitted. Based on the above description, those skilled in the art will readily understand how to implement the technical solutions disclosed herein.

[0131] The methods and systems of the present disclosure may be implemented in many ways. For example, the methods and systems of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above order of steps for the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless otherwise specified. In addition, in some embodiments, the present disclosure may also be implemented as programs recorded in a recording medium, which include machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers recording media that store programs for executing the methods according to the present disclosure.

[0132] Although some specific embodiments of the present disclosure have been described in detail by way of examples, it should be understood by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present disclosure. It should be understood by those skilled in the art that the above embodiments may be modified without departing from the scope and spirit of the present disclosure.

Claims

1. A method for generating an air conditioning model, comprising: Adjusting the initial model of the air conditioner according to multiple sets of morphological adjustment parameters of the branch ducts of the air conditioner outlet to obtain multiple intermediate models of the air conditioner; Calculating, based on the multiple intermediate models, multiple sets of airflow parameters corresponding to the multiple sets of morphology adjustment parameters; According to the target air outlet parameters, the target adjustment parameters of the branch pipes are determined by utilizing the correspondence between the multiple groups of morphology adjustment parameters and the multiple groups of air outlet parameters to generate a target model of the air conditioner.

2. The air conditioning model generation method according to claim 1, wherein: The determining, based on the target air outlet parameters, the target adjustment parameters of the branch pipes by utilizing the correspondence between the multiple sets of morphology adjustment parameters and the multiple sets of air outlet parameters to generate the target model of the air conditioner includes: According to the target air output parameter, using the corresponding relationship, calculating the initial adjustment parameter corresponding to the target air output parameter; adjusting the initial model of the air conditioner according to the initial adjustment parameters to obtain a candidate model; Calculating the airflow parameters to be verified corresponding to the candidate model according to the candidate model; Verifying the initial adjustment parameters using the air output parameters to be verified; In response to the initial adjustment parameters passing the verification, the initial adjustment parameters are determined as the target adjustment parameters, and the candidate model is determined as the target model.

3. The air conditioning model generation method according to claim 2, wherein: The verifying the initial adjustment parameter by using the air outlet parameter to be verified includes: The initial adjustment parameter is verified according to whether a difference between the to-be-verified air outlet parameter and the target air outlet parameter is smaller than a threshold.

4. The air conditioning model generation method according to claim 1, wherein: The adjusting of the initial model of the air conditioner according to the multiple sets of morphological adjustment parameters of the branch pipes of the air conditioner outlet includes: Performing meshing processing on the initial model to form a plurality of meshes on the initial model; The multiple grids are adjusted according to the multiple sets of morphology adjustment parameters.

5. The air conditioning model generation method according to claim 4, wherein: The adjusting the plurality of grids according to the plurality of sets of morphological adjustment parameters comprises: According to the multiple sets of morphological adjustment parameters, the mesh in the cross section of the branch pipe is adjusted in the meshed initial model.

6. The air conditioning model generation method according to claim 1, wherein: The multiple groups of morphology adjustment parameters include the movement amount of the minimum cross section of the branch pipe along the normal direction.

7. The air conditioning model generation method according to claim 1, wherein: The multiple groups of morphology adjustment parameters are obtained by sampling within a sampling interval, and the sampling interval is determined according to relevant information of the cross section of the branch pipe.

8. The air conditioning model generation method according to claim 7, wherein: The sampling interval ensures that the area of ​​the cross section of the branch pipe adjusted according to the multiple sets of morphology adjustment parameters does not exceed the area of ​​the maximum cross section of the branch pipe.

9. The air conditioning model generation method according to any one of claims 1 to 8, wherein: The number of the multiple groups of morphology adjustment parameters is positively correlated with the number of the branch pipes.

10. The air conditioning model generation method according to any one of claims 1 to 8, wherein: The multiple sets of air outlet parameters include multiple sets of air outlet volumes corresponding to the branch pipes. Calculating, based on the multiple intermediate models, multiple sets of airflow parameters corresponding to the multiple sets of morphology adjustment parameters includes: A three-dimensional flow field analysis is performed on each of the multiple intermediate models to obtain the multiple groups of air output volumes.

11. An air conditioning model generating device, comprising: an adjusting unit, configured to adjust parameters according to multiple groups of morphological adjustment parameters of the branch ducts of the air outlet of the air conditioner, and adjust the initial model of the air conditioner to obtain multiple intermediate models of the air conditioner; a calculation unit, configured to calculate, based on the plurality of intermediate models, a plurality of sets of air outlet parameters corresponding to the plurality of sets of morphology adjustment parameters; A determination unit is configured to determine the target adjustment parameters of the branch pipe according to the target air outlet parameters and by utilizing the correspondence between the multiple groups of morphology adjustment parameters and the multiple groups of air outlet parameters to generate a target model of the air conditioner.

12. An air conditioning model generating device, comprising: Memory; and A processor coupled to the memory, wherein the processor is configured to execute the air-conditioning model generating method according to any one of claims 1 to 10 based on instructions stored in the memory.

13. A computer-readable storage medium having a computer program stored thereon, wherein when the program is executed by a processor, the air-conditioning model generating method according to any one of claims 1 to 10 is implemented. 14 . A computer program product comprising instructions, which, when executed by a processor, cause the processor to execute the air-conditioning model generating method according to claim 1 .

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