Aerodynamic feature benchmarking method, device, equipment and medium

Abstract

The invention discloses an aerodynamic feature benchmarking method, device and equipment and a medium. The method comprises the following steps: acquiring a public image of a to-be-benchmarked vehicle from a public channel, and screening an input image from the public image; modeling the to-be-benchmarked vehicle according to the input image to obtain a target three-dimensional model of the to-be-benchmarked vehicle; and determining aerodynamic characteristics of the to-be-benchmarked vehicle according to the target three-dimensional model. According to the embodiment of the invention, the competing product benchmarking efficiency can be improved.

Description

Technical Field

[0001] The present invention relates to the field of modeling and simulation technology, and in particular to an aerodynamic feature calibration method, device, equipment and medium. Background Art

[0002] In the process of transportation vehicle development, competitive product benchmarking is a strategic management tool for enterprises. It can help enterprises identify gaps with industry leaders in product technology, product management, etc., thereby enhancing the competitiveness and product strength of the enterprise.

[0003] The traditional product benchmarking workflow requires complex processes such as product disassembly and assembly, field measurement, point scanning, and mesh reverse repair. It not only requires the purchase of physical resources for benchmarking products, but also consumes a lot of working time, which may lead to aerodynamic characteristic benchmarking results lacking timeliness and foresight. Summary of the invention

[0004] The present invention provides an aerodynamic characteristic benchmarking method, device, equipment and medium to improve the benchmarking efficiency of competing products.

[0005] According to one aspect of the present invention, there is provided an aerodynamic feature benchmarking method, comprising:

[0006] Obtaining public images of the vehicle to be benchmarked from public channels, and screening input images from the public images;

[0007] Modeling the vehicle to be matched according to the input image to obtain a target three-dimensional model of the vehicle to be matched;

[0008] The aerodynamic characteristics of the vehicle to be benchmarked are determined according to the target three-dimensional model.

[0009] According to another aspect of the present invention, there is provided an aerodynamic characteristic calibration device, comprising:

[0010] An image screening module, used to obtain public images of the vehicle to be benchmarked from public channels, and screen input images from the public images;

[0011] A three-dimensional modeling module, used for modeling the vehicle to be matched according to the input image to obtain a target three-dimensional model of the vehicle to be matched;

[0012] The feature determination module is used to determine the aerodynamic features of the vehicle to be benchmarked according to the target three-dimensional model.

[0013] According to another aspect of the present invention, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the aerodynamic feature calibration method according to any embodiment of the present invention.

[0014] According to another aspect of the present invention, an electronic device is provided, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the aerodynamic feature calibration method described in any embodiment of the present invention.

[0015] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the aerodynamic feature calibration method described in any embodiment of the present invention when executed.

[0016] The embodiments of the present invention use public images to perform three-dimensional modeling of competing vehicles, eliminating the need to complete cumbersome processes such as sample procurement, dynamic and static analysis, disassembly and inspection, and scanning to generate three-dimensional models, thereby improving the efficiency of modeling and aerodynamic benchmarking of competing vehicles.

[0017] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 is a flow chart of an aerodynamic feature benchmarking method provided according to an embodiment of the present invention;

[0020] Figure 2 is a flow chart of an aerodynamic characteristic calibration method provided according to another embodiment of the present invention;

[0021] Figure 3 is a structural schematic diagram of an aerodynamic feature benchmarking method provided according to another embodiment of the present invention;

[0022] Figure 4 It is a schematic diagram of the structure of an electronic device implementing an embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] Figure 1 This is a flow chart of an aerodynamic characteristic benchmarking method provided by an embodiment of the present invention. This embodiment is applicable to the situation where the aerodynamic characteristics of commercial vehicles, passenger cars, rail trains, space shuttles and other transportation vehicles need to be benchmarked. The method can be executed by an aerodynamic characteristic benchmarking device, which can be implemented in the form of hardware and / or software. The device can be configured in an electronic device with corresponding data processing capabilities, such as a server. Figure 1 As shown, the method includes:

[0026] S110 , obtaining public images of the vehicle to be matched from public channels, and screening input images from the public images.

[0027] S120: Model the vehicle to be aligned with the input image to obtain a target three-dimensional model of the vehicle to be aligned with the input image.

[0028] S130: Determine the aerodynamic characteristics of the vehicle to be benchmarked according to the target three-dimensional model.

[0029] Among them, the vehicles to be benchmarked are usually competing vehicles.

[0030] Specifically, the image data of the modeling of the vehicle to be benchmarked is obtained from public channels such as the Internet, paper media and shooting equipment, including but not limited to public images of various angles and forms of expression. Compared with the prior art, it is necessary to drive the vehicle to a specific place to use specific equipment in the place to scan and disassemble the benchmark vehicle to obtain a cumbersome process of a three-dimensional model. When collecting images, this application does not need to actually purchase or rent a vehicle offline. It only needs to collect its public images online to carry out subsequent three-dimensional modeling. Due to the uneven quality of public images, it is necessary to screen them before using them for modeling. According to the principle of presenting the most complete modeling features, the clearest expression method, and the proportion closest to the actual product, select the public images with higher quality as the input images for subsequent three-dimensional modeling. Based on the input image, the three-dimensional model is initially established, and the initial three-dimensional model is further iteratively optimized to obtain the final target three-dimensional model of the vehicle to be benchmarked. Using simulation software and tools, the target three-dimensional model is aerodynamically simulated to obtain its aerodynamic characteristics. The aerodynamic features are sent to the aerodynamic engineers, and the styling suggestions put forward by the aerodynamic engineers are saved and forwarded to the styling designers to assist the styling designers in the styling design of the new car. The styling suggestions include but are not limited to the characteristic angles, characteristic curvatures, surface forms, surface relationships, overall dimensions, overall proportions, spatial relationships between parts, combination relationships of parts and other factors that affect aerodynamic performance in the product styling features.

[0031] The embodiments of the present invention use public images to perform three-dimensional modeling of competing vehicles, eliminating the need to complete cumbersome processes such as sample procurement, dynamic and static analysis, disassembly and inspection, and scanning to generate three-dimensional models, thereby improving the efficiency of modeling and aerodynamic benchmarking of competing vehicles.

[0032] Figure 2 This is a flow chart of an aerodynamic characteristic calibration method provided by another embodiment of the present invention. This embodiment is optimized and improved on the basis of the above embodiment. Figure 2 As shown, the method includes:

[0033] S210: Obtain a public image of the vehicle to be matched from a public channel.

[0034] S220: For each public image, determine a target screening requirement that matches the image type of the current public image; if the current public image meets the target screening requirement, determine the current public image as an input image.

[0035] Among them, image types include design drawings, photos, renderings, effect diagrams and hand-drawn drawings.

[0036] Specifically, different types of public images have different screening requirements. For each public image, the image type to which the image belongs is determined through image recognition technology (such as an image classification model), and the target screening requirements that the image type matches are determined. If the current public image meets the target screening requirements, it means that the quality of the current public image is high and can be used for subsequent three-dimensional modeling, and it is determined as the input image; if the current public image does not meet the target screening requirements, it means that the quality of the current public image is low and is not suitable for subsequent three-dimensional modeling, and it is not determined as the input image.

[0037] Exemplary, the screening requirements for some image types are as follows:

[0038] (1) The distortion of the photos obtained by optical imaging equipment should be less than 5%;

[0039] (2) Renderings, renderings, and hand-drawn drawings should ensure that the light and shadow relationships are correct and the spatial structure is reasonable. The designer’s assumptions about the product should be less than 5% of the content displayed on the screen.

[0040] (3) The view should include all the modeling features of the product at the corresponding angle, including obvious lighting relationships, correct proportional relationships, and outlines that clearly distinguish the background.

[0041] (4) Design drawings should comply with domestic or international standards.

[0042] S230: Model the vehicle to be aligned with the input image to obtain a target three-dimensional model of the vehicle to be aligned with the input image.

[0043] S240, pre-processing the target three-dimensional model; performing computational fluid dynamics simulation on the pre-processed target three-dimensional model using numerical wind tunnel software to obtain numerical calculation results.

[0044] S250: Post-process the numerical calculation results to obtain aerodynamic characteristics of the vehicle to be benchmarked.

[0045] Pre-processing includes but is not limited to the following: geometry cleaning, fluid domain definition, meshing, boundary condition setting, material properties and physical model selection, initialization, inspection and verification, etc. Post-processing includes data inspection and verification, result visualization, quantitative analysis and other processing procedures.

[0046] Specifically, before using the target three-dimensional model for computational fluid dynamics (CFD) simulation, a series of pre-processing steps are required to ensure the quality of the model and the accuracy of the simulation. The numerical wind tunnel software is used to perform computational fluid dynamics simulation on the pre-processed target three-dimensional model to obtain numerical calculation results. The numerical calculation results are post-processed to obtain aerodynamic characteristics in a specific form, including but not limited to cloud maps, numerical values, animations, and text reports. Post-processing includes processing procedures such as data inspection and verification, result visualization, and quantitative analysis.

[0047] Based on the above embodiment, optionally, modeling the to-be-marked vehicle according to the input image to obtain a target three-dimensional model of the to-be-marked vehicle includes:

[0048] Modeling the vehicle to be matched with the input image to obtain an initial three-dimensional model of the vehicle to be matched with;

[0049] If the initial three-dimensional model meets the iteration condition, the initial three-dimensional model is iteratively optimized according to the review result of the initial three-dimensional model to obtain the target three-dimensional model.

[0050] Specifically, the initial 3D model is obtained by using modeling software for manual modeling and automatic modeling based on the input image using an automatic generation technology machine. A rendering image containing the same angle of illumination, color and other composition elements as the input image is generated and output based on the initial 3D model. The review group reviews the initial 3D model based on the rendered image to determine whether the initial 3D model meets the iteration conditions. The review requirements include: (1) The geometry of the 3D model should not contain surfaces that are less than G2 continuous; (2) The pixel similarity between the image output by the 3D model and the material in the image data combination should be greater than 95%. Quantification methods include but are not limited to PSNR, SSIM, MSE, cosine similarity, MD5, histogram, mutual information, and Hash.

[0051] If the review team believes that the initial 3D model meets the iteration conditions, that is, the initial 3D model is not much different from the actual features of the vehicle to be benchmarked, the specific iterative optimization content is input into the system, and the system iteratively optimizes the initial 3D model accordingly. This process can be repeated many times until the review team believes that the initial 3D model does not need to be iteratively optimized and obtains the target 3D model that meets all the styling features of the original product.

[0052] Optionally, after the input image is used to model the vehicle to be matched with to obtain an initial three-dimensional model of the vehicle to be matched with, the method further includes:

[0053] If the initial three-dimensional model does not meet the iteration condition, a new input image is re-screened from the public image, and the process returns to perform initial modeling of the vehicle to be matched with the input image to obtain the initial three-dimensional model of the vehicle to be matched with.

[0054] Specifically, if the review group believes that the initial three-dimensional model does not meet the iteration conditions, that is, the initial three-dimensional model is too different from the actual characteristics of the vehicle to be benchmarked, then the system is input with an instruction to abandon iterative optimization. The system adjusts the screening conditions of the public images accordingly, and re-screens new input images from the public images as the basis for the second three-dimensional modeling, and the three-dimensional modeling review group reviews it again.

[0055] The embodiment of the present invention iteratively optimizes or regenerates the model according to manual review opinions, thereby ensuring that the final target three-dimensional model is basically consistent with the real object.

[0056] Figure 3 A schematic diagram of the structure of an aerodynamic characteristic calibration device provided by another embodiment of the present invention. Figure 3 As shown, the device comprises:

[0057] An image screening module 310 is used to obtain public images of the vehicle to be benchmarked from public channels and screen input images from the public images;

[0058] A three-dimensional modeling module 320 is used to model the vehicle to be matched according to the input image to obtain a target three-dimensional model of the vehicle to be matched;

[0059] The feature determination module 330 is used to determine the aerodynamic features of the vehicle to be benchmarked according to the target three-dimensional model.

[0060] The aerodynamic characteristic calibration device provided in the embodiment of the present invention can execute the aerodynamic characteristic calibration method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0061] Optionally, the image screening module 310 includes:

[0062] A type determination unit, configured to determine, for each public image, a target screening requirement that matches the image type of the current public image;

[0063] The image screening unit is configured to determine the current public image as an input image if the current public image meets the target screening requirement.

[0064] Optionally, the image types include design drawings, photos, renderings, effect diagrams and hand drawings.

[0065] Optionally, the three-dimensional modeling module 320 includes:

[0066] An initial modeling unit, used for modeling the vehicle to be matched with the input image to obtain an initial three-dimensional model of the vehicle to be matched with;

[0067] The iterative optimization unit is used to iteratively optimize the initial three-dimensional model to obtain a target three-dimensional model according to the review result of the initial three-dimensional model if the initial three-dimensional model meets the iterative condition.

[0068] Optionally, the three-dimensional modeling module 320 further includes:

[0069] The remodeling unit is used for re-screening a new input image from the public image if the initial three-dimensional model does not meet the iteration condition, and returning to perform initial modeling of the vehicle to be matched with the input image to obtain the initial three-dimensional model of the vehicle to be matched with.

[0070] Optionally, the device further comprises:

[0071] A pre-processing module, used for pre-processing the target three-dimensional model;

[0072] A simulation processing module is used to perform computational fluid dynamics simulation on the pre-processed target three-dimensional model through numerical wind tunnel software to obtain numerical calculation results;

[0073] A post-processing module is used to post-process the numerical calculation results to obtain the aerodynamic characteristics of the vehicle to be benchmarked.

[0074] The aerodynamic characteristic calibration device further described can also execute the aerodynamic characteristic calibration method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0075] Figure 4 A schematic diagram of an electronic device 40 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0076] like Figure 4As shown, the electronic device 40 includes at least one processor 41, and a memory connected to the at least one processor 41, such as a read-only memory (ROM) 42, a random access memory (RAM) 43, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 41 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 42 or the computer program loaded from the storage unit 48 to the random access memory (RAM) 43. In the RAM 43, various programs and data required for the operation of the electronic device 40 can also be stored. The processor 41, the ROM 42, and the RAM 43 are connected to each other through a bus 44. An input / output (I / O) interface 45 is also connected to the bus 44.

[0077] A number of components in the electronic device 40 are connected to the I / O interface 45, including: an input unit 46, such as a keyboard, a mouse, etc.; an output unit 47, such as various types of displays, speakers, etc.; a storage unit 48, such as a disk, an optical disk, etc.; and a communication unit 49, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0078] The processor 41 may be a variety of general and / or dedicated processing components with processing and computing capabilities. Some examples of the processor 41 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 41 executes the various methods and processes described above, such as the aerodynamic feature benchmarking method.

[0079] In some embodiments, the aerodynamic signature benchmarking method may be implemented as a computer program that is tangibly contained in a computer-readable storage medium, such as a storage unit 48. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 40 via the ROM 42 and / or the communication unit 49. When the computer program is loaded into the RAM 43 and executed by the processor 41, one or more steps of the aerodynamic signature benchmarking method described above may be performed. Alternatively, in other embodiments, the processor 41 may be configured to perform the aerodynamic signature benchmarking method in any other suitable manner (e.g., by means of firmware).

[0080] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0081] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0082] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, device, or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0083] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0084] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0085] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0086] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0087] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An aerodynamic characteristic benchmarking method, characterized in that: The method comprises: Obtaining public images of the vehicle to be benchmarked from public channels, and screening input images from the public images; Modeling the vehicle to be matched according to the input image to obtain a target three-dimensional model of the vehicle to be matched; The aerodynamic characteristics of the vehicle to be benchmarked are determined according to the target three-dimensional model.

2. The method according to claim 1, characterized in that The screening of the input image from the public images comprises: For each public image, determining a target screening requirement that matches the image type of the current public image; If the current public image meets the target screening requirement, the current public image is determined as an input image.

3. The method according to claim 2, characterized in that The image types include design drawings, photographs, renderings, effect diagrams and hand drawings.

4. The method according to claim 1, characterized in that: The step of modeling the vehicle to be matched according to the input image to obtain a target three-dimensional model of the vehicle to be matched includes: Modeling the vehicle to be matched with the input image to obtain an initial three-dimensional model of the vehicle to be matched with; If the initial three-dimensional model meets the iteration condition, the initial three-dimensional model is iteratively optimized according to the review result of the initial three-dimensional model to obtain the target three-dimensional model.

5. The method according to claim 4, characterized in that After the input image is used to model the vehicle to be matched with to obtain an initial three-dimensional model of the vehicle to be matched with, the method further includes: If the initial three-dimensional model does not meet the iteration condition, a new input image is re-screened from the public image, and the process returns to perform initial modeling of the vehicle to be matched with the input image to obtain the initial three-dimensional model of the vehicle to be matched with.

6. The method according to claim 1, characterized in that Determining the aerodynamic characteristics of the vehicle to be benchmarked according to the target three-dimensional model includes: Pre-processing the target three-dimensional model; The numerical wind tunnel software is used to perform computational fluid dynamics simulation on the pre-processed target three-dimensional model to obtain the numerical calculation results; The numerical calculation results are post-processed to obtain the aerodynamic characteristics of the vehicle to be benchmarked.

7. An aerodynamic characteristic benchmarking device, characterized in that: The device comprises: An image screening module, used to obtain public images of the vehicle to be benchmarked from public channels, and screen input images from the public images; A three-dimensional modeling module, used for modeling the vehicle to be matched according to the input image to obtain a target three-dimensional model of the vehicle to be matched; The feature determination module is used to determine the aerodynamic features of the vehicle to be benchmarked according to the target three-dimensional model.

8. The device according to claim 7, characterized in that The image screening module comprises: A type determination unit, configured to determine, for each public image, a target screening requirement that matches the image type of the current public image; The image screening unit is configured to determine the current public image as an input image if the current public image meets the target screening requirement.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can perform the aerodynamic characteristic calibration method according to any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the aerodynamic characteristic calibration method according to any one of claims 1 to 6 when executed.

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