Automobile remote training method, system, device and medium based on digital twin

Abstract

The present invention discloses a method, system, device and medium for remote automobile training based on digital twins, the method comprising: obtaining a first parameter of a training automobile, constructing a digital twin model according to the first parameter, the digital twin model being used to simulate the training automobile; obtaining a first operation instruction of a first terminal, controlling the operation of the digital twin model according to the first operation instruction, and generating a corresponding first video stream, the first video stream being used to characterize the operation process and operation result of the digital twin model; playing the first video stream through a second terminal. The present invention realizes immersive and all-round automobile training teaching, improves teaching efficiency and students' learning experience, allows students to remotely diagnose faults of training automobiles, and teachers can remotely systematically review students' diagnostic ideas, processes and results. The present invention can be widely used in the field of automobile training technology.

Description

Technical Field

[0001] The present invention relates to the field of automobile training technology, and in particular to a method, system, device and medium for automobile remote training based on digital twins. Background Art

[0002] Based on demand, online distance learning has become the mainstream mode in the teaching industry (such as Tencent Conference and Tencent Classroom). Online teaching includes theoretical teaching and practical teaching. In the process of practical teaching, the teacher demonstrates to students by turning on the camera for live broadcast. Students are in a passive state of receiving, which loses the student-centered teaching concept and cannot monitor students' mastery in real time. In addition, in the teaching of automobile training, due to the large size of the vehicle and the limitations of the camera position, it is impossible to fully display the fault diagnosis and maintenance process of the vehicle, which affects the teaching efficiency and students' training experience. Summary of the invention

[0003] The purpose of the present invention is to solve one of the technical problems existing in the prior art to at least a certain extent.

[0004] To this end, an object of an embodiment of the present invention is to provide an automobile remote training method based on digital twins, which improves the teaching efficiency of automobile remote training and the training experience of students.

[0005] Another object of an embodiment of the present invention is to provide an automobile remote training system based on digital twins.

[0006] In order to achieve the above technical objectives, the technical solutions adopted by the embodiments of the present invention include:

[0007] In a first aspect, an embodiment of the present invention provides a remote vehicle training method based on digital twins, comprising the following steps:

[0008] Acquire a first parameter of a training vehicle, and construct a digital twin model according to the first parameter, wherein the digital twin model is used to simulate the training vehicle;

[0009] Obtain a first operation instruction of the first terminal, control the operation of the digital twin model according to the first operation instruction, and generate a corresponding first video stream, where the first video stream is used to characterize the operation process and operation result of the digital twin model;

[0010] The first video stream is played through the second terminal.

[0011] Furthermore, in one embodiment of the present invention, the first parameters include three-dimensional parameters and control logic parameters of various components of the training vehicle.

[0012] Furthermore, in one embodiment of the present invention, the step of constructing a digital twin model according to the first parameter specifically includes:

[0013] Constructing a three-dimensional space model of the training vehicle according to the three-dimensional parameters;

[0014] Determine the logic events of each component in the training vehicle and the logic relationships between the logic events according to the control logic parameters;

[0015] The logical events and the logical relationships are mapped to the three-dimensional space model to generate the digital twin model.

[0016] Furthermore, in one embodiment of the present invention, the automobile remote training method further includes a step of calibrating the digital twin model, which specifically includes:

[0017] Obtain a preset second operation instruction, control the operation of the training vehicle and the digital twin model according to the second operation instruction, and obtain first operation data generated during the operation of the training vehicle and second operation data generated during the operation of the digital twin model;

[0018] The digital twin model is calibrated according to an error between the first operating data and the second operating data.

[0019] Furthermore, in one embodiment of the present invention, the step of controlling the operation of the digital twin model according to the first operation instruction and generating a corresponding first video stream specifically includes:

[0020] Determine corresponding logical events and logical relationships according to the first operation instruction;

[0021] Simulating the logic event according to the logic relationship through the digital twin model to obtain a dynamic digital twin model;

[0022] The first video stream is generated according to the dynamic digital twin model.

[0023] Furthermore, in one embodiment of the present invention, the automobile remote training method further comprises the following steps:

[0024] Inputting the vehicle circuit diagram and maintenance manual of the training vehicle through the first terminal, and setting a plurality of fault trees, wherein the fault trees are used to represent the diagnosis steps or maintenance steps of the corresponding vehicle faults;

[0025] Obtaining a training operation instruction of a second terminal, wherein the training operation instruction is generated according to the fault tree;

[0026] The training operation instruction is executed through the digital twin model to obtain a corresponding diagnosis result or maintenance result, and the diagnosis result or the maintenance result is fed back to the first terminal.

[0027] In a second aspect, an embodiment of the present invention provides a digital twin-based automobile remote training system, comprising:

[0028] A digital twin model construction module, used to obtain a first parameter of a training vehicle, and to construct a digital twin model according to the first parameter, wherein the digital twin model is used to simulate the training vehicle;

[0029] A model simulation module, used to obtain a first operation instruction of the first terminal, control the operation of the digital twin model according to the first operation instruction, and generate a corresponding first video stream, wherein the first video stream is used to characterize the operation process and operation result of the digital twin model;

[0030] The video stream playing module is used to play the first video stream through the second terminal.

[0031] Furthermore, in one embodiment of the present invention, the automobile remote training system further includes:

[0032] A fault tree setting module, used to input the vehicle circuit diagram and maintenance manual of the training vehicle through the first terminal, and set a number of fault trees, wherein the fault trees are used to represent the diagnostic steps or maintenance steps of the corresponding vehicle faults;

[0033] A training operation acquisition module, used to acquire a training operation instruction of the second terminal, wherein the training operation instruction is generated according to the fault tree;

[0034] A training feedback module is used to execute the training operation instructions through the digital twin model, obtain corresponding diagnosis results or maintenance results, and feed back the diagnosis results or the maintenance results to the first terminal.

[0035] In a third aspect, an embodiment of the present invention provides a remote automobile training device based on digital twins, comprising:

[0036] at least one processor;

[0037] at least one memory for storing at least one program;

[0038] When the at least one program is executed by the at least one processor, the at least one processor implements the above-mentioned digital twin-based automobile remote training method.

[0039] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, which stores a program executable by a processor, and the program executable by the processor is used to execute the above-mentioned digital twin-based automobile remote training method when executed by the processor.

[0040] The advantages and beneficial effects of the present invention will be partly given in the following description, partly become apparent from the following description, or be understood through the practice of the present invention:

[0041] The embodiment of the present invention simulates the training car through a digital twin model, and then controls the operation of the digital twin model and generates a corresponding video stream according to the operation instructions of the first terminal, so that the operation process and operation results of the digital twin model can be displayed through the video stream on the second terminal, thereby realizing immersive and comprehensive automobile training teaching, and improving teaching efficiency and students' learning experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solution in the embodiments of the present invention, the following introduction is made to the drawings required for use in the embodiments of the present invention. It should be understood that the drawings introduced below are only for the convenience of clearly describing some embodiments of the technical solution of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0043] Figure 1 A flowchart of a method for remote vehicle training based on digital twins provided in an embodiment of the present invention;

[0044] Figure 2 A structural block diagram of a digital twin-based automobile remote training system provided in an embodiment of the present invention;

[0045] Figure 3 A structural block diagram of a digital twin-based automobile remote training device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0046] The embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and are not to be construed as limitations of the present invention. For the step numbers in the following embodiments, they are only provided for the convenience of explanation, and the order between the steps is not limited in any way, and the execution order of each step in the embodiment can be adaptively adjusted according to the understanding of those skilled in the art.

[0047] In the description of the present invention, the meaning of "a plurality" is two or more than two. If there is a description of "a first" or "a second", it is only used for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features. In addition, unless otherwise defined, all technical and scientific terms used in this document have the same meaning as those commonly understood by those skilled in the art.

[0048] Reference Figure 1 The embodiment of the present invention provides a remote vehicle training method based on digital twins, which specifically includes the following steps:

[0049] S101. Obtain a first parameter of a training vehicle, and construct a digital twin model according to the first parameter, where the digital twin model is used to simulate the training vehicle.

[0050] Specifically, digital twin technology can digitally copy a physical object, simulate the behavior of the object in the real environment, and virtually simulate the production and manufacturing process and even the entire factory. The construction of a digital twin model is the process of digitizing a physical entity, which requires expressing the physical entity as a digital model that can be recognized by computers and networks.

[0051] As a further optional implementation, the first parameters include three-dimensional parameters of each component of the training vehicle and control logic parameters.

[0052] As an optional implementation, the step of constructing the digital twin model according to the first parameter specifically includes:

[0053] A1. Construct a 3D space model of the training vehicle based on 3D parameters;

[0054] A2. Determine the logic events of each component in the training vehicle and the logic relationship between the logic events according to the control logic parameters;

[0055] A3. Map logical events and logical relationships to a three-dimensional space model to generate a digital twin model.

[0056] Specifically, the construction of the digital twin model includes the construction of a three-dimensional solid model and the fusion of the three-dimensional solid model and the information space model. The three-dimensional solid model can be constructed using modeling software such as CAD, FlexSim and Qfsm, and then the information space model is determined based on the logical events existing in each component of the training car and the logical relationship between the logical events. The digital twin model can be obtained by mapping it to the three-dimensional solid model.

[0057] As an optional implementation, the automobile remote training method further includes a step of calibrating the digital twin model, which specifically includes:

[0058] B1. Obtain a preset second operation instruction, control the operation of the training vehicle and the digital twin model according to the second operation instruction, and obtain first operation data generated during the operation of the training vehicle and second operation data generated during the operation of the digital twin model;

[0059] B2. Calibrate the digital twin model according to the error between the first operating data and the second operating data.

[0060] Specifically, the embodiment of the present invention controls the operation of the training car and the digital twin model through preset operating instructions. The smaller the error between the operating data generated by the two, the higher the accuracy of the digital twin model. Therefore, by calibrating the digital twin model according to the error between the operating data generated by the two, the training car and the digital twin model can maintain a high degree of consistency, thereby improving the accuracy of subsequent practical training teaching.

[0061] S102. Obtain a first operation instruction of the first terminal, control the operation of the digital twin model according to the first operation instruction, and generate a corresponding first video stream, where the first video stream is used to characterize the operation process and operation results of the digital twin model.

[0062] As an optional implementation, the step of controlling the operation of the digital twin model according to the first operation instruction and generating the corresponding first video stream specifically includes:

[0063] C1. Determine corresponding logical events and logical relationships according to the first operation instruction;

[0064] C2. Use the digital twin model to simulate logical events according to logical relationships to obtain a dynamic digital twin model;

[0065] C3. Generate a first video stream based on the dynamic digital twin model.

[0066] Specifically, the first terminal is a teacher terminal, and the teacher can teach on the first terminal, that is, send a first operation instruction through the first terminal to control the operation of the digital twin model, form a visual dynamic digital twin model, and then transmit it to the student's second terminal in the form of a video stream.

[0067] S103: Play the first video stream through the second terminal.

[0068] As an optional implementation, the automobile remote training method further includes the following steps:

[0069] D1. Input the vehicle circuit diagram and maintenance manual of the training vehicle through the first terminal, and set several fault trees, which are used to represent the diagnostic steps or maintenance steps of the corresponding vehicle faults;

[0070] D2. Obtaining the training operation instructions of the second terminal, where the training operation instructions are generated according to the fault tree;

[0071] D3. Execute the training operation instructions through the digital twin model to obtain the corresponding diagnosis results or maintenance results, and feed back the diagnosis results or maintenance results to the first terminal.

[0072] Specifically, the teacher can input vehicle circuit diagrams, maintenance manuals and other information through the first terminal, and set up the corresponding fault tree. The fault tree is the diagnostic steps or maintenance steps corresponding to each fault, and each step becomes the branch of the fault tree. In this way, students can select steps according to the fault phenomenon to troubleshoot, so that students have a sense of participation in practical courses, and teachers can also actually understand students' understanding of fault phenomena and troubleshooting ideas.

[0073] The digital twin model can be used to verify whether the students' practical training operation instructions are correct, that is, the digital twin combines the physical space and information space to generate corresponding diagnostic results or maintenance results, and then feeds back to the teacher's first terminal.

[0074] It is understandable that the embodiment of the present invention combines physical entities and information space through digital twin technology, realizes immersive and comprehensive automobile training teaching, improves teaching efficiency and students' learning experience, allows students to remotely diagnose faults in training vehicles, and teachers can remotely systematically review students' diagnostic ideas, processes and results. In addition, the embodiment of the present invention provides students participating in the training with the convenience of remote training operations, avoiding the problem of traditional offline teaching students crowding together; it can also record the operation records of teachers and students in both directions at the same time, generate data for storage, record the number of times a certain fault is used in the training, the accuracy of students' practical operations, and automatically generate relevant records.

[0075] Reference Figure 2 , an embodiment of the present invention provides a digital twin-based automobile remote training system, comprising:

[0076] A digital twin model building module, used to obtain a first parameter of a training vehicle, and to build a digital twin model according to the first parameter, wherein the digital twin model is used to simulate the training vehicle;

[0077] A model simulation module, used to obtain a first operation instruction of the first terminal, control the operation of the digital twin model according to the first operation instruction, and generate a corresponding first video stream, where the first video stream is used to characterize the operation process and operation results of the digital twin model;

[0078] The video stream playing module is used to play the first video stream through the second terminal.

[0079] As an optional implementation, the automobile remote training system further includes:

[0080] A fault tree setting module is used to input the vehicle circuit diagram and maintenance manual of the training vehicle through the first terminal, and set a number of fault trees, where the fault trees are used to represent the diagnostic steps or maintenance steps of the corresponding vehicle faults;

[0081] A training operation acquisition module, used to acquire the training operation instruction of the second terminal, where the training operation instruction is generated according to the fault tree;

[0082] The training feedback module is used to execute the training operation instructions through the digital twin model, obtain the corresponding diagnosis results or maintenance results, and feed back the diagnosis results or maintenance results to the first terminal.

[0083] The contents of the above method embodiments are all applicable to the present system embodiments. The functions specifically implemented by the present system embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0084] Reference Figure 3 , an embodiment of the present invention provides a digital twin-based automobile remote training device, comprising:

[0085] at least one processor;

[0086] at least one memory for storing at least one program;

[0087] When the at least one program is executed by the at least one processor, the at least one processor implements the digital twin-based automobile remote training method.

[0088] The contents of the above method embodiments are all applicable to the present device embodiments. The functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0089] An embodiment of the present invention also provides a computer-readable storage medium, which stores a program executable by a processor. When the program executable by the processor is executed by the processor, it is used to execute the above-mentioned digital twin-based automobile remote training method.

[0090] A computer-readable storage medium of an embodiment of the present invention can execute a digital twin-based automobile remote training method provided by an embodiment of the method of the present invention, can execute any combination of implementation steps of the method embodiment, and has the corresponding functions and beneficial effects of the method.

[0091] The embodiment of the present invention also discloses a computer program product or a computer program, wherein the computer program product or the computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. A processor of a computer device can read the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes Figure 1 The method shown.

[0092] In some selectable embodiments, the function / operation mentioned in the block diagram may not occur in the order mentioned in the operation diagram. For example, depending on the function / operation involved, the two boxes shown in succession can actually be executed substantially simultaneously or the above-mentioned boxes can sometimes be executed in reverse order. In addition, the embodiment presented and described in the flow chart of the present invention is provided by way of example, for the purpose of providing a more comprehensive understanding of technology. The disclosed method is not limited to the operation and logic flow presented herein. Selectable embodiments are expected, wherein the order of various operations is changed and the sub-operation of a part for which is described as a larger operation is performed independently.

[0093] In addition, although the present invention is described in the context of functional modules, it should be understood that, unless otherwise specified to the contrary, one or more of the above-mentioned functions and / or features can be integrated into a single physical device and / or software module, or one or more functions and / or features can be implemented in a separate physical device or software module. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding the present invention. More specifically, in view of the properties, functions and internal relationships of the various functional modules in the device disclosed herein, the actual implementation of the module will be understood within the conventional skills of the engineer. Therefore, those skilled in the art can implement the present invention set forth in the claims without excessive experimentation using ordinary techniques. It is also understood that the specific concepts disclosed are merely illustrative and are not intended to limit the scope of the present invention, which is determined by the full scope of the appended claims and their equivalents.

[0094] If the above functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the above methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0095] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0096] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and editable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the above-mentioned program is printed, since the above-mentioned program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or processing in other suitable ways as necessary, and then stored in a computer memory.

[0097] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0098] In the above description of this specification, the description with reference to the terms "one embodiment / example", "another embodiment / example" or "certain embodiments / examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0099] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the claims and their equivalents.

[0100] The above is a specific description of the preferred implementation of the present invention, but the present invention is not limited to the above embodiments. Those skilled in the art may make various equivalent modifications or substitutions without violating the spirit of the present invention. These equivalent modifications or substitutions are all included in the scope defined by the claims of this application.

Claims

1. A digital twin-based automobile remote training method, characterized in that: The following steps are involved: Acquire a first parameter of a training vehicle, and construct a digital twin model according to the first parameter, wherein the digital twin model is used to simulate the training vehicle; Obtain a first operation instruction of the first terminal, control the operation of the digital twin model according to the first operation instruction, and generate a corresponding first video stream, where the first video stream is used to characterize the operation process and operation result of the digital twin model; Playing the first video stream through the second terminal; The step of constructing a digital twin model according to the first parameter specifically includes: Constructing a three-dimensional space model of the training vehicle according to the three-dimensional parameters; Determine the logic events of each component in the training vehicle and the logic relationships between the logic events according to the control logic parameters; Mapping the logical events and the logical relationships to the three-dimensional space model to generate the digital twin model; The step of controlling the operation of the digital twin model according to the first operation instruction and generating a corresponding first video stream specifically includes: Determine corresponding logical events and logical relationships according to the first operation instruction; Simulating the logic event according to the logic relationship through the digital twin model to obtain a dynamic digital twin model; generating the first video stream according to the dynamic digital twin model; The automobile remote training method also includes the following steps: Inputting the vehicle circuit diagram and maintenance manual of the training vehicle through the first terminal, and setting a plurality of fault trees, wherein the fault trees are used to represent the diagnosis steps or maintenance steps of the corresponding vehicle faults; Obtaining a training operation instruction of a second terminal, wherein the training operation instruction is generated according to the fault tree; The training operation instruction is executed through the digital twin model to obtain a corresponding diagnosis result or maintenance result, and the diagnosis result or the maintenance result is fed back to the first terminal.

2. The automobile remote training method based on digital twin according to claim 1 is characterized in that: The first parameters include three-dimensional parameters of various components of the training vehicle and control logic parameters.

3. The automobile remote training method based on digital twin according to claim 1 is characterized in that: The automobile remote training method further includes a step of calibrating the digital twin model, which specifically includes: Obtain a preset second operation instruction, control the operation of the training vehicle and the digital twin model according to the second operation instruction, and obtain first operation data generated during the operation of the training vehicle and second operation data generated during the operation of the digital twin model; The digital twin model is calibrated according to an error between the first operating data and the second operating data.

4. A digital twin-based automobile remote training system, characterized in that: include: A digital twin model construction module, used to obtain a first parameter of a training vehicle, and to construct a digital twin model according to the first parameter, wherein the digital twin model is used to simulate the training vehicle; A model simulation module, used to obtain a first operation instruction of the first terminal, control the operation of the digital twin model according to the first operation instruction, and generate a corresponding first video stream, wherein the first video stream is used to characterize the operation process and operation result of the digital twin model; A video stream playing module, used for playing the first video stream through the second terminal; The step of constructing a digital twin model according to the first parameter specifically includes: Constructing a three-dimensional space model of the training vehicle according to the three-dimensional parameters; Determine the logic events of each component in the training vehicle and the logic relationships between the logic events according to the control logic parameters; Mapping the logical events and the logical relationships to the three-dimensional space model to generate the digital twin model; The step of controlling the operation of the digital twin model according to the first operation instruction and generating a corresponding first video stream specifically includes: Determine corresponding logical events and logical relationships according to the first operation instruction; Simulating the logic event according to the logic relationship through the digital twin model to obtain a dynamic digital twin model; generating the first video stream according to the dynamic digital twin model; The automobile remote training system also includes: A fault tree setting module, used to input the vehicle circuit diagram and maintenance manual of the training vehicle through the first terminal, and set a number of fault trees, wherein the fault trees are used to represent the diagnostic steps or maintenance steps of the corresponding vehicle faults; A training operation acquisition module, used to acquire a training operation instruction of the second terminal, wherein the training operation instruction is generated according to the fault tree; A training feedback module is used to execute the training operation instructions through the digital twin model, obtain corresponding diagnosis results or maintenance results, and feed back the diagnosis results or the maintenance results to the first terminal.

5. A digital twin-based automobile remote training device, characterized in that: include: at least one processor; at least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements a digital twin-based automobile remote training method as described in any one of claims 1 to 3.

6. A computer-readable storage medium storing a program executable by a processor, characterized in that: The program executable by the processor is used to execute a digital twin-based automobile remote training method as described in any one of claims 1 to 3 when executed by the processor.

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