Air conditioner model generation method and apparatus, and computer-readable storage medium

Abstract

The present disclosure 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: adjusting an initial model of an air conditioner according to a plurality of groups of shape adjustment parameters of branch pipelines of an air outlet of the air conditioner, to obtain a plurality of intermediate models of the air conditioner; calculating a plurality of groups of air outlet parameters corresponding to the plurality of groups of shape adjustment parameters according to the plurality of intermediate models; and determining target adjustment parameters of the branch pipelines according to a target air outlet parameter and a correspondence between the plurality of groups of shape adjustment parameters and the plurality of groups of air outlet parameters, to generate a target model of the air conditioner. The technical scheme of the present disclosure can improve the design efficiency of the air conditioner.

Description

Technical Field

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

[0002] In air conditioning system design, the airflow distribution at the air outlets is a key parameter affecting comfort and performance. Therefore, during the development of air conditioning systems, the airflow distribution at the outlets often needs to meet strict engineering specifications.

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

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

[0005] In view of this, this disclosure proposes an air conditioner model generation technology solution that can improve the efficiency of air conditioner design.

[0006] According to some embodiments of this disclosure, an air conditioning model generation method is provided, comprising: adjusting an initial model of the air conditioner according to multiple sets of morphological adjustment parameters of the branch duct of the air conditioner outlet to obtain multiple intermediate models of the air conditioner; calculating multiple sets of air outlet parameters corresponding to the multiple sets of morphological adjustment parameters according to the multiple intermediate models; and determining the target adjustment parameters of the branch duct according to the target air outlet parameters by utilizing the correspondence between the multiple sets of morphological adjustment parameters and the multiple sets of air outlet parameters, so as to generate a target model of the air conditioner.

[0007] In some embodiments, based on the target air outlet parameters, an initial adjustment parameter corresponding to the target air outlet parameters is calculated using a correspondence; based on the initial adjustment parameter, 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 parameter is verified using the air outlet parameters to be verified; in response to the initial adjustment parameter passing verification, the initial adjustment parameter is determined as the target adjustment parameter, and the candidate model is determined as the target model.

[0008] In some embodiments, the initial adjustment parameters are verified based on whether the difference between the air outlet parameter to be verified and the target air outlet parameter is less than a threshold.

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

[0010] In some embodiments, the grid in the cross-section of the branch pipe is adjusted in the initial gridded model according to multiple sets of morphological adjustment parameters.

[0011] In some embodiments, the multiple sets of morphological adjustment parameters include the amount of movement of the minimum cross-section of the branch pipe along the normal direction.

[0012] In some embodiments, multiple sets of morphological adjustment parameters are obtained by sampling within a sampling interval, which is determined based on relevant information about the cross-section of the branch pipeline.

[0013] In some embodiments, the sampling interval is such that the area of ​​the cross-section of the branch pipe after adjustment according to multiple sets of morphological adjustment parameters does not exceed the area of ​​the maximum cross-section of the branch pipe.

[0014] In some embodiments, the number of multiple sets of morphological 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 corresponding to the branch ducts, and 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 some other embodiments of this disclosure, an air conditioner model generation apparatus is provided, comprising: an adjustment unit, configured to adjust an initial model of the air conditioner according to multiple sets of morphological adjustment parameters of the branch duct of the air conditioner outlet to obtain multiple intermediate models of the air conditioner; a calculation unit, configured to calculate multiple sets of air outlet parameters corresponding to the multiple sets of morphological adjustment parameters according to the multiple intermediate models; and a determination unit, configured to determine the target adjustment parameters of the branch duct according to the target air outlet parameters and using the correspondence between the multiple sets of morphological adjustment parameters and the multiple sets of air outlet parameters, so as to generate a target model of the air conditioner.

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

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

[0019] In some embodiments, the adjustment unit performs meshing processing on the initial model to form multiple meshes on the initial model; and adjusts the multiple meshes according to multiple sets of morphological adjustment parameters.

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

[0021] In some embodiments, the multiple sets of morphological adjustment parameters include the amount of movement of the minimum cross-section of the branch pipe along the normal direction.

[0022] In some embodiments, multiple sets of morphological adjustment parameters are obtained by sampling within a sampling interval, which is determined based on relevant information about the cross-section of the branch pipeline.

[0023] In some embodiments, the sampling interval is such that the area of ​​the cross-section of the branch pipe after adjustment according to multiple sets of morphological adjustment parameters does not exceed the area of ​​the maximum cross-section of the branch pipe.

[0024] In some embodiments, the number of multiple sets of morphological 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 corresponding to the branch ducts. The calculation unit performs three-dimensional flow field analysis on each of the multiple intermediate models to obtain multiple sets of air outlet volumes.

[0026] According to further embodiments of this disclosure, an air conditioner model generation apparatus is provided, comprising: a memory; and a processor coupled to the memory, the processor being configured to execute the air conditioner model generation method of any of the above embodiments based on instructions stored in the memory device.

[0027] According to further embodiments of the present disclosure, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the air conditioner model generation method of any of the above embodiments.

[0028] According to further embodiments of this disclosure, a computer program product is also provided, including instructions that, when executed by a processor, cause the processor to perform the air conditioner model generation method according to any of the foregoing embodiments.

[0029] In the above embodiments, the initial model of the air conditioner is adjusted by multiple sets of morphological adjustment parameters to determine multiple sets of air outlet parameters corresponding to these morphological adjustment parameters. Then, the target adjustment parameter corresponding to the target air outlet parameter is determined by the correspondence between the morphological adjustment parameters and the air outlet parameters. This reduces the number of communications between designers and simulation engineers and also accurately determines the target model of the air conditioner. This shortens the air conditioner design cycle and improves the efficiency of air conditioner design. Attached Figure Description

[0030] The accompanying drawings, which form part of this specification, illustrate embodiments of this disclosure and, together with the specification, serve to explain the principles of this disclosure.

[0031] This disclosure will become clearer with reference to the accompanying drawings and the following detailed description, wherein:

[0032] Figure 1 A flowchart illustrating some embodiments of the air conditioning model generation method of this disclosure;

[0033] Figure 2 Schematic diagrams illustrating some embodiments of the air conditioner model generation method of this disclosure;

[0034] Figure 3 Block diagrams showing some embodiments of the air conditioner model generation apparatus of this disclosure;

[0035] Figure 4 Block diagrams illustrating other embodiments of the air conditioner model generation apparatus of this disclosure;

[0036] Figure 5 Block diagrams showing further embodiments of the air conditioner model generation apparatus of this disclosure are presented. Detailed Implementation

[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, numerical expressions, and values ​​of the components and steps 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 ease of description, the dimensions of the various parts shown in the accompanying drawings are not drawn according to actual scale.

[0039] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit this disclosure or its application or use.

[0040] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, 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 as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0042] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.

[0043] As mentioned earlier, in related technologies, the air conditioning design process requires designers and simulation engineers to iterate and optimize many times to achieve the target state. The iterative process is usually as follows: the designer provides the original scheme, the simulation engineer preprocesses it, performs three-dimensional flow field analysis and provides feedback on the optimization direction, the designer updates the digital model according to the feedback, and submits the simulation analysis again, and so on, until the simulation results meet the requirements.

[0044] To address the aforementioned technical problems, this disclosure provides an air conditioner model generation method. This method adjusts the initial air conditioner model using multiple sets of morphological adjustment parameters to determine multiple sets of air outlet parameters corresponding to these parameters. Furthermore, the correspondence between the morphological adjustment parameters and the air outlet parameters is used to determine the target adjustment parameters corresponding to the target air outlet parameters. This reduces the number of communications between designers and simulation engineers and accurately determines the target air conditioner model. Consequently, it shortens the air conditioner design cycle and improves design efficiency.

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

[0046] Figure 1 A flowchart illustrating some embodiments of the air conditioning model generation method of this disclosure is shown.

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

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

[0049] In this way, by adjusting the shape 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 precisely, thereby improving the accuracy of the air conditioner design.

[0050] In step 120, multiple sets of air outlet parameters corresponding to multiple sets of morphological adjustment parameters are calculated based on multiple intermediate models. For example, the multiple sets of air outlet parameters include multiple sets of air volume of the air outlets corresponding to the branch ducts.

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

[0052] In this way, by calculating multiple sets of air outlet parameters, the impact of different shape adjustment parameters on the air outlet parameters 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 air outlet parameters, the target adjustment parameters of the branch ducts are determined using the correspondence between multiple sets of shape adjustment parameters and multiple sets of air outlet parameters to generate the target model of the air conditioner. For example, the target air outlet parameters include the target air volume of the air outlet corresponding to each branch duct. In this way, the target adjustment parameters of the branch ducts can be automatically determined through the correspondence, avoiding errors caused by excessive human intervention, thereby improving the accuracy of air conditioning design.

[0054] In the above embodiments, the initial model of the air conditioner is adjusted by multiple sets of morphological adjustment parameters to determine multiple sets of air outlet parameters corresponding to these morphological adjustment parameters. Then, the target adjustment parameter corresponding to the target air outlet parameter is determined by the correspondence between the morphological adjustment parameters and the air outlet parameters. This reduces the number of communications between designers and simulation engineers and also accurately determines the target model of the air conditioner. This shortens the air conditioner design cycle and improves the efficiency of air conditioner design.

[0055] The following examples illustrate the technical solution for adjusting the initial model of the air conditioner in step 110.

[0056] In some embodiments, multiple sets of morphological adjustment parameters are obtained by sampling within a sampling interval, which is determined based on relevant information about the cross-section of the branch pipeline.

[0057] For example, the super-Latin method can be used to sample multiple sets of morphology adjustment parameters to ensure the uniformity of the selected sample distribution.

[0058] For example, cross-sectional information includes the area of ​​the minimum cross-section of the branch pipe, the area of ​​the maximum cross-section, and the area of ​​the cross-section to be adjusted. Different branch pipes correspond to different sampling intervals based on the relevant information of different cross-sections.

[0059] In some embodiments, the multiple sets of morphological 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 is such that the area of ​​the cross-section of the branch pipe after adjustment according to the multiple sets of morphological adjustment parameters does not exceed the area of ​​the maximum cross-section of the branch pipe.

[0060] This reduces the occurrence of branch pipe configurations that do not meet actual design requirements during the air conditioning model adjustment process, thereby improving the reliability of the air conditioning design.

[0061] In some embodiments, the number of multiple sets of morphological adjustment parameters is positively correlated with the number of branch pipes. For example, each set of morphological adjustment parameters includes d variables, that is, d branch pipes of the air conditioning outlet are adjusted, and the sample size can be defined as 10d, that is, 10d sets of morphological adjustment parameters are selected.

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

[0063] The following examples illustrate how to adjust the initial model of an air conditioner based on multiple selected sets of morphological adjustment parameters.

[0064] In some embodiments, the initial model can be meshed to form multiple meshes on the initial model; the multiple meshes are then adjusted according to multiple sets of morphological adjustment parameters. For example, based on multiple sets of morphological adjustment parameters, the meshes in the cross-section of the branch pipe are adjusted in the meshed initial model.

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

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

[0067] For example, setting the variable to -1 means that the grid points in the cross-section of the narrowest part of the branch duct of the air conditioner outlet move inward by 1mm along the normal direction, reducing the area of ​​the cross-section by approximately 200mm². 2 .

[0068] The following is through Figure 2 The embodiments in the example illustrate how to adjust the initial model of an air conditioner in grid units by adjusting the morphological adjustment parameters.

[0069] Figure 2 Schematic diagrams illustrating some embodiments of the air conditioner model generation method of this disclosure are shown.

[0070] like Figure 2 As shown, the shape adjustment parameter consists of four different variable values, which represent the amount of movement of the cross-section at the narrowest point of the four branch pipes, and are used to adjust the mesh in the cross-section of each branch pipe in the initial meshed model.

[0071] Reference Figure 2Design variables _1, _2, _3, and _4 correspond to the minimum cross-sectional displacement of the four branch pipes, respectively. Figure 2 As shown, the current values ​​of the four design variables are -2, 1, -1, and 2, respectively. The sign of the current value represents the direction of movement of the cross-section along the normal. Taking the branch duct of the air conditioner outlet corresponding to design variable _1 as an example, the current value of design variable _1 is -2. Therefore, the grid point of the smallest cross-section of branch duct _1 needs to be moved inward by 2mm along the normal. Similarly, the grid point at the narrowest point of branch duct _2 of the air conditioner outlet needs to be moved outward by 1mm along the normal; the grid point at the narrowest point of branch duct _3 of the air conditioner outlet needs to be moved inward by 1mm along the normal; and the grid point at the narrowest point of branch duct _4 of the air conditioner outlet needs to be moved outward by 2mm along the normal. The minimum value of all four design variables is -5, and the maximum value is 5. Therefore, the sampling range of each design variable is -5mm to 5mm.

[0072] For example, by calling the deformation control file morph.dat, parameters can be adjusted according to multiple sets of morphologies to deform the initial meshed model, outputting a new mesh file toFace.nas, which then overwrites the mesh file of the initial meshed model.

[0073] After adjusting the initial model of the air conditioner and obtaining the intermediate model through the above embodiments, it can be used... Figure 1 Step 120 in the process involves calculating the air outlet parameters of the intermediate model.

[0074] The following examples illustrate the technical solution for calculating multiple sets of air outlet parameters in step 120.

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

[0076] This allows for a more comprehensive simulation of airflow patterns, leading to a more accurate assessment of the airflow volume at the corresponding air outlet of each branch duct and 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 method, with the inlet flow rate set to 4 kg / s and the air volume of the blowing air outlets corresponding to the four branch pipes set as the monitoring value to obtain multiple sets of air volume.

[0078] For example, when performing three-dimensional flow field analysis, the operation process can be recorded as a macro command file using macro commands. In this way, the air volume can be calculated by calling the macro command file during each three-dimensional flow field analysis, avoiding repetitive 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, which is 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 shape adjustment parameters. The calculation results are shown in Table 1 in the 4out.xlsx file.

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

[0081] Table 1 shows the 4out.xlsx file containing the obtained calculation results as an example.

[0082] Table 1

[0083]

[0084] After obtaining the air outlet parameters corresponding to each set of shape adjustment parameters, the above steps will be automatically repeated until all sets of shape adjustment parameters have been calculated. After all sets of shape adjustment parameters have been calculated, a table file toFace4.dat will be obtained. Each row of the table in toFace4.dat contains the values ​​of four variables and the corresponding air outlet volume of the four face vents.

[0085] After obtaining multiple sets of shape adjustment parameters and corresponding multiple sets of air outlet parameters, it is possible to... Figure 1 Step 130 in the scheme determines the target model of the air conditioner.

[0086] The following examples illustrate the method for determining the target model of the air conditioner in step 130.

[0087] In some embodiments, initial adjustment parameters corresponding to the target air outlet parameters are calculated using a correspondence based on the target air outlet parameters. For example, a surrogate model can be used to express the correspondence between multiple sets of morphological adjustment parameters and multiple sets of air outlet parameters in the output mesh file in the form of mathematical formulas.

[0088] For example, the proxy model can be a Kriging model. The table file toFace4.dat output in step 120 can be imported into the Kriging model, and then an optimization algorithm (such as a genetic algorithm) can be connected to perform optimization analysis to obtain the initial adjustment parameters corresponding to the target air outlet parameters.

[0089] For example, the four target values ​​in the target air outlet parameters can all be set to 1 kg / s, corresponding to the target air outlet volume of the four face blowing vents, and the initial adjustment parameters can be obtained through optimization algorithms.

[0090] In this way, the initial adjustment parameters corresponding to the target air outlet parameters of the branch duct are automatically determined through the correspondence, avoiding errors caused by excessive human intervention, thereby improving the accuracy of air conditioning design.

[0091] In some embodiments, the initial model of the air conditioner is adjusted according to initial adjustment parameters 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 verification, the initial adjustment parameters are determined as the 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 outlet parameters to be verified and the target air outlet parameters is less than a threshold.

[0092] 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 mesh file. Then, the new mesh file can be imported into the three-dimensional flow field analysis file to perform a single three-dimensional flow field analysis. Based on the analysis results, it can be determined whether the air outlet parameters to be verified basically meet the requirements of the target air outlet parameters.

[0093] For example, if 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; if 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 value of the set parameters.

[0094] In this way, through automated verification and adjustment, errors caused by human intervention can be avoided, thereby improving the accuracy of air conditioner design and shortening the development cycle.

[0095] In the above embodiments, the initial model of the air conditioner is adjusted by multiple sets of morphological adjustment parameters to determine multiple sets of air outlet parameters corresponding to these morphological adjustment parameters. Then, the target adjustment parameter corresponding to the target air outlet parameter is determined by the correspondence between the morphological adjustment parameters and the air outlet parameters. This reduces the number of communications between designers and simulation engineers and also accurately determines the target model of the air conditioner. This shortens the air conditioner design cycle and improves the efficiency of air conditioner design.

[0096] The following example, using a commercial vehicle air conditioner as an example, illustrates the technical solution of the target model for the above-mentioned air conditioner design.

[0097] In some embodiments, the initial model of the air conditioner can be provided by simulation engineers, and the target air distribution ratio can be obtained by consulting the design specifications.

[0098] For example, by coordinating with the air conditioning system designer, we can obtain models of the HVAC (Heating, Ventilation and Air Conditioning) unit and its branch ducts for this vehicle model. By consulting air conditioning design specifications, we can determine that the air distribution ratio of the four air vents is 1:1:1:1.

[0099] In some embodiments, after obtaining the initial model and the target air distribution ratio, preprocessing can be performed first in order to determine the target model for subsequent air conditioning.

[0100] For example, the initial model can first be divided into surface meshes, and task management mode can be enabled. The movement of the mesh points at the narrowest points of the four branch pipes can be set as variables. By defining the amount of movement of these mesh points inward or outward along the normal direction, the cross-sectional area of ​​the branch pipes can be reduced or expanded. The movement amount can be negative or positive, representing different directions of movement along the normal direction. For example, setting the variable to -1 means that if the mesh point at the narrowest point of the branch pipe at the air conditioner outlet moves inward by 1mm along the normal direction, the cross-sectional area will decrease by approximately 200mm². 2 Furthermore, it can output a deformation control file and rename it to morph.dat, such as... Figure 2 As shown. The deformation control file includes four variable names and their set values. After the process is complete, it will output the deformation control file morph.dat and the mesh file toFace.nas.

[0101] For example, after preprocessing, deformation control files, macro command files, mesh files, and 3D simulation model files can be output for use when designing the target model of the air conditioner.

[0102] In some embodiments, after preprocessing, a three-dimensional flow field analysis can be performed based on the mesh 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.

[0103] For example, first create a new file named toFace_cal and save it. Then, re-open the 3D flow field analysis file toFace_cal, and enable the macro command recording function. Configure the 3D flow field analysis according to the conventional calculation settings, setting the inlet flow rate to 4 kg / s and setting the outlet airflow of the four face vents to the monitored value. After this process is completed, the macro command file control.java and the calculation result file 4out.xlsx will be output.

[0104] In this way, by recording the three-dimensional flow field analysis process as a macro command file, the macro command file can be automatically called directly when performing repeated three-dimensional flow field analyses, reducing repetitive operations and improving efficiency.

[0105] After preprocessing and recording of the 3D flow field analysis, the target model of the air conditioner can be determined through the following steps.

[0106] The first step is to establish a sampling process using the super Latin square method to select multiple sets of morphological adjustment parameters. The number of morphological adjustment parameters is designed based on the number of variables they contain. As mentioned earlier, if each set of morphological adjustment parameters includes 'd' variables, then 10d sets of morphological adjustment parameters are selected. According to this requirement, approximately 40 sample points, or 40 sets of morphological adjustment parameters, are needed for the four variables. Each sample point includes four variable values, for example: -2, 1, -1, 2, representing the following: the grid point at the narrowest point of branch duct one of the air conditioning outlet moves inward by 2mm along the normal direction; the grid point at the narrowest point of branch duct two of the air conditioning outlet moves outward by 1mm along the normal direction; the grid point at the narrowest point of branch duct three of the air conditioning outlet moves inward by 1mm along the normal direction; and the grid point at the narrowest point of branch duct four of the air conditioning outlet moves outward by 2mm along the normal direction.

[0107] After determining the morphology adjustment parameters, the preprocessing output deformation control file morph.dat is automatically invoked. The initial model's corresponding mesh file is automatically deformed according to the four variable values ​​in each set of morphology adjustment parameters, controlling the mesh file update. This results in the output of a new mesh file toFace.nas, overwriting the meshed initial model's mesh file. Then, the macro command file control.java, output from the preprocessing, calls the new mesh file toFace.nas and imports it into the 3D flow field analysis file toFace_cal for 3D flow field analysis. After the analysis, the calculation results are combined with the corresponding morphology adjustment parameters, and the process is automatically repeated until all sample points have been calculated, meaning all 40 sets of morphology adjustment parameters have been calculated.

[0108] After calculating all the morphological adjustment parameters, a table file named toFace4.dat is obtained. Each row in the table contains the values ​​of four variables and the airflow rate of the four face-blowing vents. The table file toFace4.dat is imported into the Kriging model, and then an optimization algorithm (such as a genetic algorithm) is connected for optimization analysis. The four target values ​​in the target airflow parameters are all set to 1 kg / s, corresponding to the target airflow rates of the four face-blowing vents, and the initial adjustment parameters are obtained through the optimization algorithm.

[0109] Finally, the initial adjustment parameters can be verified by rewriting them into the deformation control file morph.dat, and then performing a single three-dimensional flow field analysis. Based on the analysis results, it can be determined whether the air outlet parameters to be verified basically meet the requirements of the target air outlet parameters.

[0110] After determining the target adjustment parameters, the changes in variables corresponding to each branch pipeline and the air conditioning target model are fed back to the designers to proceed with the normal development process.

[0111] With the above-mentioned integrated technical solution for optimizing the air distribution of air conditioning vents in commercial vehicles, designers only need to provide the initial model of the air conditioner. Simulation personnel only need to process and calculate the initial model once in the preprocessing stage, and the rest of the process can be carried out automatically without human intervention. This frees up manual iterative labor and can be carried out without interruption, shortening the design cycle of commercial vehicle air conditioning and thus improving the efficiency and accuracy of air conditioning design.

[0112] Figure 3 Block diagrams illustrating some embodiments of the air conditioner model generation apparatus of this disclosure are shown.

[0113] According to some other embodiments of this disclosure, a first air conditioner model generation device 3 is provided, comprising: an adjustment unit 31, configured to adjust an initial model of the air conditioner according to multiple sets of morphological adjustment parameters of the branch pipe of the air conditioner outlet to obtain multiple intermediate models of the air conditioner; a calculation unit 32, configured to calculate multiple sets of air outlet parameters corresponding to the multiple sets of morphological adjustment parameters according to the multiple intermediate models; and a determination unit 33, configured to determine the target adjustment parameters of the branch pipe according to the target air outlet parameters and using the correspondence between the multiple sets of morphological adjustment parameters and the multiple sets of air outlet parameters to generate a target model of the air conditioner.

[0114] In some embodiments, the determining unit 33 calculates the initial adjustment parameter corresponding to the target air outlet parameter using the correspondence relationship; adjusts the initial model of the air conditioner according to the initial adjustment parameter to obtain a candidate model; calculates the air outlet parameter to be verified corresponding to the candidate model according to the candidate model; verifies the initial adjustment parameter using the air outlet parameter to be verified; and in response to the initial adjustment parameter passing the verification, determines the initial adjustment parameter as the target adjustment parameter and determines the candidate model as the target model.

[0115] In some embodiments, the determining unit 33 verifies the initial adjustment parameters based on whether the difference between the air outlet parameter to be verified and the target air outlet parameter is less than a threshold.

[0116] In some embodiments, the adjustment unit 31 performs meshing processing on the initial model to form multiple meshes on the initial model; and adjusts the multiple meshes according to multiple sets of morphological adjustment parameters.

[0117] In some embodiments, the adjustment unit 31 adjusts the grid in the cross-section of the branch pipe in the initial gridded model according to multiple sets of morphological adjustment parameters.

[0118] In some embodiments, the multiple sets of morphological adjustment parameters include the amount of movement of the minimum cross-section of the branch pipe along the normal direction.

[0119] In some embodiments, multiple sets of morphological adjustment parameters are obtained by sampling within a sampling interval, which is determined based on the cross-sectional area of ​​the branch pipe.

[0120] In some embodiments, the sampling interval is such that the area of ​​the cross-section of the branch pipe after adjustment according to multiple sets of morphological adjustment parameters does not exceed the area of ​​the maximum cross-section of the branch pipe.

[0121] In some embodiments, the number of multiple sets of morphological adjustment parameters is positively correlated with the number of branch pipes.

[0122] In some embodiments, the multiple sets of air outlet parameters include multiple sets of air outlets corresponding to the branch ducts. The calculation unit 32 performs three-dimensional flow field analysis on each of the multiple intermediate models to obtain multiple sets of air outlets.

[0123] Figure 4 Block diagrams showing other embodiments of the air conditioner model generation apparatus of this disclosure are shown.

[0124] like Figure 4 As shown, the second air conditioner model generation device 4 in this embodiment includes: a first memory 41 and a first processor 42 coupled to the first memory 41. The first processor 42 is configured to execute the air conditioner model generation method in any embodiment of this disclosure based on instructions stored in the first memory 41.

[0125] The first memory 41 may include, for example, system memory, fixed non-volatile storage media, etc. The system memory stores, for example, the operating system, application programs, boot loader, database, and other programs.

[0126] Figure 5 Block diagrams showing further embodiments of the air conditioner model generation apparatus of this disclosure are presented.

[0127] like Figure 5 As shown, the third air conditioner model generation device 5 of this embodiment includes: a second memory 510 and a second processor 520 coupled to the second memory 510. The second processor 520 is configured to execute the air conditioner model generation method of any of the foregoing embodiments based on instructions stored in the second memory 510.

[0128] The second memory 510 may include, for example, system memory, fixed non-volatile storage media, etc. The system memory stores, for example, the operating system, application programs, boot loader, and other programs.

[0129] The third air conditioning model generation device 5 may also include an input / output interface 530, a network interface 540, and a storage interface 550. These interfaces 530, 540, and 550, as well as the second memory 510 and the second processor 520, can be connected, for example, via a bus 560. The input / output interface 530 provides a connection interface for input / output devices such as a monitor, mouse, keyboard, touchscreen, 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.

[0130] Those skilled in the art will understand that embodiments of this disclosure can be provided as methods, systems, or computer program products. Therefore, this disclosure can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this disclosure can take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0131] This concludes the detailed description of the air conditioner model generation method, apparatus, or computer program product according to the present disclosure. To avoid obscuring the concept of this disclosure, some details known in the art have not been described. Those skilled in the art can fully understand how to implement the technical solutions disclosed herein based on the above description.

[0132] The methods and systems of this disclosure may be implemented in many ways. For example, they may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order of steps for the methods is for illustrative purposes only, and the steps of the methods of this disclosure are not limited to the specific order described above unless otherwise specifically stated. Furthermore, in some embodiments, this disclosure may also be implemented as a program recorded on a recording medium, the program including machine-readable instructions for implementing the methods according to this disclosure. Thus, this disclosure also covers recording media storing programs for performing the methods according to this disclosure.

[0133] While specific embodiments of this disclosure have been described in detail by way of examples, those skilled in the art should understand that the examples are for illustrative purposes only and are not intended to limit the scope of this disclosure. Those skilled in the art should understand that modifications can be made to the above embodiments without departing from the scope and spirit of this disclosure.

Claims

1. A method for generating an air conditioner model, comprising: adjusting an initial model of an air conditioner according to a plurality of sets of shape adjustment parameters of branch ducts of air outlets of the air conditioner to obtain a plurality of intermediate models of the air conditioner, the plurality of sets of shape adjustment parameters comprising movement amounts of minimum cross sections of the branch ducts along normal directions, the plurality of sets of shape adjustment parameters being obtained by sampling in a sampling interval, the sampling interval being determined according to related information of the cross sections of the branch ducts; calculating a plurality of sets of air outlet parameters corresponding to the plurality of sets of shape adjustment parameters according to the plurality of intermediate models, the plurality of sets of air outlet parameters comprising a plurality of sets of air outlet quantities of face blow outlets corresponding to the branch ducts; determining a target adjustment parameter of the branch ducts according to a target air outlet parameter and a mathematical expression between the plurality of sets of shape adjustment parameters and the plurality of sets of air outlet parameters to generate a target model of the air conditioner, wherein the determining the target adjustment parameter of the branch ducts according to the target air outlet parameter and the mathematical expression between the plurality of sets of shape adjustment parameters and the plurality of sets of air outlet parameters to generate the target model of the air conditioner comprises: calculating an initial adjustment parameter corresponding to the target air outlet parameter according to the target air outlet parameter and the mathematical expression; adjusting the initial model of the air conditioner according to the initial adjustment parameter to obtain a candidate model; calculating a to-be-verified air outlet parameter corresponding to the candidate model according to the candidate model; verifying the initial adjustment parameter according to the to-be-verified air outlet parameter; in response to the initial adjustment parameter passing the verification, determining the initial adjustment parameter as the target adjustment parameter and determining the candidate model as the target model.

2. The air conditioner model generation method according to claim 1, wherein the verifying the initial adjustment parameter according to the to-be-verified air outlet parameter comprises: verifying the initial adjustment parameter according to whether a difference between the to-be-verified air outlet parameter and the target air outlet parameter is less than a threshold value.

3. The air conditioner model generation method according to claim 1, wherein the adjusting the initial model of the air conditioner according to the plurality of sets of shape adjustment parameters comprises: performing a meshing process on the initial model to form a plurality of meshes on the initial model; adjusting the plurality of meshes according to the plurality of sets of shape adjustment parameters.

4. The air conditioner model generation method according to claim 3, wherein the adjusting the plurality of meshes according to the plurality of sets of shape adjustment parameters comprises: adjusting meshes in the cross sections of the branch ducts in the meshed initial model according to the plurality of sets of shape adjustment parameters.

5. The air conditioner model generation method according to claim 1, wherein the sampling interval is such that areas of the cross sections of the branch ducts adjusted according to the plurality of sets of shape adjustment parameters do not exceed areas of maximum cross sections of the branch ducts.

6. The air conditioning model generation method according to any one of claims 1 to 5, wherein a number of the plurality of sets of shape adjustment parameters is positively correlated with a number of the branch ducts.

7. The air conditioning model generation method according to any one of claims 1 to 5, wherein the calculating the plurality of sets of air outlet parameters corresponding to the plurality of sets of shape adjustment parameters according to the plurality of intermediate models comprises: performing three-dimensional flow field analysis on each of the plurality of intermediate models to obtain the plurality of sets of air outlet quantities.

8. An apparatus for generating an air conditioner model, comprising: An adjusting unit is configured to adjust an initial model of an air conditioner according to a plurality of groups of shape adjustment parameters of branch pipes of an air outlet of the air conditioner, to obtain a plurality of intermediate models of the air conditioner, wherein the plurality of groups of shape adjustment parameters comprise movement amounts of minimum cross sections of the branch pipes along normal directions, and the plurality of groups of shape adjustment parameters are obtained by sampling in a sampling interval, and the sampling interval is determined according to related information of the cross sections of the branch pipes; A calculating unit is configured to calculate a plurality of groups of air outlet parameters corresponding to the plurality of groups of shape adjustment parameters according to the plurality of intermediate models, wherein the plurality of groups of air outlet parameters comprise a plurality of groups of air outlet quantities of face blow outlets corresponding to the branch pipes; A determining unit is configured to determine a target adjustment parameter of the branch pipes according to a target air outlet parameter, by using a mathematical expression between the plurality of groups of shape adjustment parameters and the plurality of groups of air outlet parameters, to generate a target model of the air conditioner, wherein the determining unit calculates an initial adjustment parameter corresponding to the target air outlet parameter by using the mathematical expression according to the target air outlet parameter, adjusts the initial model of the air conditioner according to the initial adjustment parameter to obtain a candidate model, calculates a to-be-verified air outlet parameter corresponding to the candidate model according to the candidate model, verifies the initial adjustment parameter by using the to-be-verified air outlet parameter, and determines the initial adjustment parameter as the target adjustment parameter and the candidate model as the target model in response to the initial adjustment parameter passing the verification.

9. An air conditioner model generation apparatus, comprising: a memory; and a processor coupled to the memory, the processor being configured to perform the air conditioner model generation method of any one of claims 1-7 based on instructions stored in the memory.

10. A computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the air conditioner model generation method of any one of claims 1-7.

11. A computer program product comprising instructions which, when executed by a processor, cause the processor to perform the air conditioner model generation method of any one of claims 1-7.

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