Simulation practical training method and system for automobile faults

Abstract

The invention discloses a simulation practical training method and system for automobile faults. Collision between an automobile and an obstacle is regulated and controlled according to a collision mode triggered by practical training personnel; after the automobile collides with the obstacle, analog signal detection is carried out on the automobile, and a fault area is defined according to response data; forming a plurality of sub-regions based on the decomposition of the fault region, and collecting fault data of each sub-region; defining a fault component based on the fault data of each sub-region, and determining the fault problem of the fault component; triggering a practical training course according to the fault problem of the fault part, guiding the maintenance action of the practical training personnel according to the practical training course, constructing the collision between the automobile and the obstacle based on the virtual scene, and regulating and controlling the collision between the automobile and the obstacle according to the collision mode triggered by the practical training personnel so as to improve the adaptability of the practical training, and meanwhile, improving the reliability of the practical training. And controlling and tracing the fault area so as to determine a fault component and a practical training course corresponding to the matched fault component.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile failure, and in particular to a simulation training method and system for automobile failure. Background Art

[0002] With the development of technology, cars can avoid obstacles when they encounter them. However, when a car cannot avoid an obstacle, it collides with the obstacle and some faults may occur during the collision. At this time, the fault needs to be checked and subsequently repaired. However, in actual scenarios, the car needs to be disassembled in all directions for troubleshooting and each component needs to be tested in turn according to the instruction manual. This is not suitable for trainees and cannot achieve the adaptability of the training. Summary of the invention

[0003] The purpose of the present invention is to overcome the shortcomings of the prior art. The present invention provides a simulation training method and system for automobile failures. The collision between a car and an obstacle is constructed based on a virtual scene, and the collision between the car and the obstacle is regulated according to the collision mode triggered by the trainees, so as to improve the adaptability of the training. At the same time, the fault area is defined according to the detection of the car after the collision, and the fault area is further managed and traced, so as to determine the faulty component and the training course corresponding to the matching faulty component, thereby ensuring that the trainees can reflect the training course in the virtual scene and provide practical guidance to the trainees.

[0004] In order to solve the above technical problems, an embodiment of the present invention provides a simulation training method for automobile failure, which is applied to automobile failure scenarios;

[0005] The automobile failure simulation training method comprises:

[0006] Based on the virtual scene, simulate the car driving on the highway, and match the corresponding obstacles based on the trainees' driving habits;

[0007] Control the collision between the car and the obstacle according to the collision mode triggered by the trainee;

[0008] After the car collides with an obstacle, the car is tested for analog signals and the fault area is defined based on the response data;

[0009] Based on the decomposition of the fault area, multiple sub-areas are formed, and fault data of each sub-area is collected;

[0010] Define the faulty components based on the fault data of each sub-area and identify the faulty problems of the faulty components;

[0011] The training course is triggered according to the fault problem of the faulty component, and the maintenance actions of the trainees are guided according to the training course.

[0012] Optionally, simulating a car driving on a highway based on a virtual scene and matching corresponding obstacles based on the driving habits of trainees include:

[0013] Get the virtual scene;

[0014] Based on the virtual scene, the name of the highway selected by the trainee is associated, and the camera on the highway is triggered to shoot at the current time to obtain the video at the preset time;

[0015] Construct a highway model based on videos and virtual scenes, and simulate the driving of cars on the highway model;

[0016] Collecting the driving habits of trainees based on their training tests;

[0017] The corresponding obstacles are matched based on the trainees' driving habits and loaded into the highway model.

[0018] Optionally, regulating the collision between the vehicle and the obstacle according to the collision mode triggered by the trainee includes:

[0019] Get the collision mode triggered by the trainee;

[0020] Regulate the collision distance between the car and the obstacle and the collision speed of the car based on the collision mode;

[0021] Control the collision degree of the car with the obstacle based on the collision distance between the car and the obstacle and the collision speed of the car;

[0022] The collision of the car against the obstacle is triggered according to the degree of collision of the car against the obstacle.

[0023] Optionally, after the collision between the vehicle and the obstacle, detecting a simulated signal of the vehicle and defining a fault area according to the response data include:

[0024] Record the collision time between the car and the obstacle;

[0025] The car's self-check is triggered according to the collision time between the car and the obstacle, and the collision position between the car and the obstacle is located;

[0026] In the self-inspection of the car, the position of collision between the car and the obstacle is extended toward the center of the car, and the fracture is detected according to the extension direction;

[0027] Perform analog signal detection according to the components corresponding to the fracture location and obtain corresponding response data;

[0028] Locate abnormal data in the response data and define the fault area based on the abnormal data.

[0029] Optionally, the forming of multiple sub-areas based on the decomposition of the fault area and collecting fault data of each sub-area includes:

[0030] Get the fault area;

[0031] Define the working relationship based on the working relationship table of each component in the car, and perform regional decomposition based on the working relationship and fault area;

[0032] A plurality of sub-areas are formed according to the decomposition of the fault area.

[0033] Optionally, the forming of multiple sub-areas based on the decomposition of the fault area and collecting fault data of each sub-area further includes:

[0034] Locate multiple sub-areas and define the data collection order according to the work priorities of multiple sub-areas;

[0035] The data collection of the corresponding sub-areas is triggered in sequence according to the data collection order, and the fault data of each sub-area is collected.

[0036] Optionally, defining a faulty component based on the fault data of each sub-area and clarifying the fault problem of the faulty component includes:

[0037] Obtain fault data for each sub-area;

[0038] Determine multiple tracing points based on the tracing of fault data;

[0039] Build distribution areas based on multiple traceability points;

[0040] The existing components are located based on the traversal of the distribution area.

[0041] Optionally, the defining a faulty component based on the fault data of each sub-region and clarifying the fault problem of the faulty component further includes:

[0042] Identify faulty components based on the orientation of the distribution area and the components present;

[0043] Troubleshoot the faulty components and check the turning points of the faulty data in the data to identify the faulty components.

[0044] Optionally, triggering a training course according to the fault problem of the faulty component, and guiding the trainee to perform maintenance actions according to the training course, includes:

[0045] Get the fault problem of the faulty component;

[0046] Define solutions based on the fault problem of the faulty component and the problem matching table;

[0047] Trigger the practical training course based on the solution, and present the practical training guidance screen corresponding to the practical training course;

[0048] Guide trainees' maintenance actions according to the training guidance screen.

[0049] In addition, an embodiment of the present invention further provides a simulation training system for automobile failures, the simulation training system for automobile failures comprising:

[0050] The virtual module is used to simulate a car driving on a highway based on a virtual scene and match corresponding obstacles based on the trainees’ driving habits;

[0051] The collision module is used to control the collision between the car and the obstacle according to the collision mode triggered by the trainee;

[0052] The fault area module is used to detect the simulated signal of the car after the car collides with an obstacle and define the fault area according to the response data;

[0053] A fault data module, used to form multiple sub-areas based on the decomposition of the fault area, and collect fault data of each sub-area;

[0054] A fault problem module is used to define faulty components based on the fault data of each sub-area and to identify the faulty problems of the faulty components;

[0055] The guidance module is used to trigger the practical training course according to the fault problem of the faulty component, and guide the trainees to perform maintenance actions according to the practical training course.

[0056] In an embodiment of the present invention, through the method in the embodiment of the present invention, a car is simulated to drive on a highway based on a virtual scene, and a corresponding obstacle is matched based on the driving habits of the trainee; the collision between the car and the obstacle is regulated according to the collision mode triggered by the trainee; after the collision between the car and the obstacle, the car is tested for simulated signals, and a fault area is defined according to the response data; multiple sub-areas are formed based on the decomposition of the fault area, and fault data of each sub-area is collected; fault components are defined based on the fault data of each sub-area, and the fault problem of the fault component is clarified; a training course is triggered according to the fault problem of the fault component, and the maintenance action of the trainee is guided according to the training course. At this time, a collision between the car and the obstacle is constructed based on the virtual scene, and the collision between the car and the obstacle is regulated according to the collision mode triggered by the trainee, so as to improve the adaptability of the training. At the same time, the fault area is defined according to the detection of the car after the collision, and the fault area is further controlled and traced, so as to determine the fault component and match the training course corresponding to the fault component, so as to ensure that the trainee's training course is reflected in the virtual scene, and the trainee is practically guided. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 paying creative work.

[0058] Figure 1 It is a flowchart of a simulation training method for automobile failure in an embodiment of the present invention;

[0059] Figure 2 It is a flow chart of S12 in the simulation training method for automobile failure in an embodiment of the present invention;

[0060] Figure 3 It is a flow chart of S13 in the simulation training method for automobile failure in an embodiment of the present invention;

[0061] Figure 4 It is a flow chart of S14 in the simulation training method for automobile failure in an embodiment of the present invention;

[0062] Figure 5 It is a flow chart of S15 in the simulation training method for automobile failure in an embodiment of the present invention;

[0063] Figure 6 It is a flow chart of S16 in the simulation training method for automobile failure in an embodiment of the present invention;

[0064] Figure 7 It is a schematic diagram of the structure of the automobile failure simulation training system in an embodiment of the present invention;

[0065] Figure 8 The figure is a hardware diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0066] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 are within the scope of protection of the present invention.

[0067] Example

[0068] See also Figures 1 to 8 , a simulation training method for automobile failure, applied to automobile failure scenarios; the simulation training method for automobile failure includes:

[0069] Step S11: simulating a car driving on a highway based on a virtual scene, and matching corresponding obstacles based on the driving habits of trainees;

[0070] Step S12: regulating the collision between the car and the obstacle according to the collision mode triggered by the trainee;

[0071] Step S13: After the car collides with the obstacle, the car is tested for analog signals, and a fault area is defined according to the response data;

[0072] Step S14: forming a plurality of sub-areas based on the decomposition of the fault area, and collecting fault data of each sub-area;

[0073] Step S15: defining a faulty component based on the fault data of each sub-area, and clarifying the fault problem of the faulty component;

[0074] Step S16: triggering a training course according to the fault problem of the faulty component, and guiding the trainee's maintenance actions according to the training course.

[0075] In an embodiment of the present invention, through the method in the embodiment of the present invention, a collision between a car and an obstacle is constructed based on a virtual scene, and the collision between the car and the obstacle is regulated according to the collision mode triggered by the trainee, so as to improve the adaptability of the training. At the same time, the fault area is defined according to the detection of the car after the collision, and the fault area is further managed and traced, so as to determine the faulty component and the training course corresponding to the matching faulty component, thereby ensuring that the trainee's training course is reflected in the virtual scene and providing practical guidance to the trainee.

[0076] In step S11, a car is simulated driving on a highway based on a virtual scene, and corresponding obstacles are matched based on the driving habits of the trainees;

[0077] In an embodiment of the present application, a virtual scene is obtained; the name of a highway selected by a trainee is associated with the virtual scene, and a camera on the highway is triggered to record at the current time to obtain a video at a preset time; a highway model is constructed based on the video and the virtual scene, and a car is simulated driving in the highway model; the trainee's driving habits are collected based on the trainee's training test; corresponding obstacles are matched based on the trainee's driving habits, and the obstacles are loaded into the highway model.

[0078] At this point, the practical training process for the car is integrated into the virtual scene. At the same time, a driving simulation of the car relative to the highway model is constructed in the virtual scene, and the collision between the car and the obstacle is further constructed. In order to further reflect the realism, the model is constructed based on the actual highway.

[0079] Furthermore, the name of the highway selected by the trainee is associated with the virtual scene, and the camera on the highway is triggered to record at the current time to obtain the video at the preset time, so as to facilitate the model architecture based on the real scene of the actual highway, so as to build a highway model based on the video and the virtual scene, so as to simulate the driving of the car in the highway model.

[0080] Therefore, the driving habits of the trainees are collected based on their training tests, and the trainees' movements during the training tests can be collected to facilitate the formation of the trainees' driving habits, thereby introducing the trainees' driving habits, and then matching the corresponding obstacles based on the trainees' driving habits, and loading the obstacles into the highway model, thereby realizing the presentation of cars, highways and obstacles in the virtual scene.

[0081] In step S12, the collision between the car and the obstacle is regulated according to the collision mode triggered by the trainee;

[0082] In an embodiment of the present application, collision modes triggered by trainees are collected so as to regulate the collision between a car and an obstacle according to the collision mode triggered by the trainees. The collision between a car and an obstacle is regulated by regulating the collision mode, so as to extend multiple collisions between the car and the obstacle, thereby ensuring the subsequent processing of multiple collisions between the car and the obstacle, and further improving the adaptability of the training.

[0083] In the specific implementation process of the present invention, the specific steps may be:

[0084] S121: Acquire the collision mode triggered by the trainee;

[0085] S122: regulating a collision distance between the vehicle and the obstacle and a collision speed of the vehicle based on the collision mode;

[0086] In an embodiment of the present application, a collision mode triggered by a trainee is obtained, and a mode selection is performed for the collision mode. At this time, the collision mode can be a single collision, multiple collisions, multiple collision levels, etc. When the collision mode is introduced, it is convenient to adjust the collision distance between the car and the obstacle and the collision speed of the car based on the collision mode, so as to control the collision distance between the car and the obstacle and the collision speed of the car, thereby ensuring the dynamic adjustment of the collision distance between the car and the obstacle and the collision speed of the car, and forming multiple collision scenes, so as to make reasonable arrangements for each collision scene, so as to improve the training courses of trainees and meet the adaptability of trainees of different levels.

[0087] S123: controlling the collision degree of the vehicle with the obstacle based on the collision distance between the vehicle and the obstacle and the collision speed of the vehicle;

[0088] S124: Triggering a collision of the vehicle with the obstacle according to the collision degree of the vehicle with the obstacle.

[0089] At this time, the collision degree of the car with the obstacle is controlled based on the collision distance and the collision speed of the car, and different collision degrees are controlled, and then the collision of the car with the obstacle is triggered according to the collision degree of the car with the obstacle, thereby ensuring the authenticity of the collision between the car and the obstacle, so as to deeply restore the collision scene of the car with the obstacle, so as to apply the virtual collision scene to the training courses of the trainees, and ensure the simulation training of the car's failure after the collision.

[0090] In step S13, after the car collides with the obstacle, the car is tested for analog signals, and the fault area is defined according to the response data;

[0091] In an embodiment of the present application, after a car collides with an obstacle, a self-check is performed on the car to facilitate detection of analog signals on the car, thereby triggering responses of various components in the car, and then collecting response data to define the fault area based on the response data, thereby ensuring the accuracy of the fault area and improving the efficiency of troubleshooting the fault area.

[0092] In the specific implementation process of the present invention, the specific steps may be:

[0093] S131: recording the collision time between the car and the obstacle;

[0094] S132: triggering a self-check of the vehicle according to the collision time between the vehicle and the obstacle, and locating the collision position between the vehicle and the obstacle;

[0095] In an embodiment of the present application, the collision time between the car and the obstacle is recorded so that the self-inspection of the car can be triggered based on the collision time between the car and the obstacle, thereby realizing the triggered self-inspection of the car due to the time factor and avoiding excessive manual inspection. At the same time, the collision position between the car and the obstacle is located so as to facilitate further inspection along the collision position between the car and the obstacle.

[0096] S133: In the self-inspection of the vehicle, extending toward the center of the vehicle based on the collision position between the vehicle and the obstacle, and detecting the fracture position according to the extending direction;

[0097] S134: Detecting analog signals according to the components corresponding to the fractured parts, and obtaining corresponding response data;

[0098] S135: Locate abnormal data in the response data, and define a fault area based on the abnormal data.

[0099] At this time, during the self-inspection of the car, the self-inspection of the car is controlled so as to extend toward the center position of the car based on the collision position between the car and the obstacle, and detect the fracture according to the extension direction. When the collision position between the car and the obstacle is introduced, the collision position between the car and the obstacle and the center position of the car are associated so as to detect the fracture according to the extension direction and give priority to the fracture.

[0100] Furthermore, analog signals are detected according to the components corresponding to the fracture locations, and corresponding response data are obtained; abnormal data is located in the response data, and a fault area is defined based on the abnormal data, thereby quickly locating the fault area based on the abnormal data, ensuring rapid and effective identification of the fault area.

[0101] S14: forming a plurality of sub-areas based on the decomposition of the fault area, and collecting fault data of each sub-area;

[0102] In an embodiment of the present application, a fault area is introduced to facilitate in-depth decomposition of the fault area, thereby forming multiple sub-areas based on the decomposition of the fault area, and then managing the multiple sub-areas to facilitate collection of fault data of each sub-area, thereby completing detailed detection of multiple sub-areas.

[0103] In the specific implementation process of the present invention, the specific steps may be:

[0104] S141: Obtaining the fault area;

[0105] S142: defining a working relationship based on a working relationship table of each component in the automobile, and performing regional decomposition according to the working relationship and the fault area;

[0106] S143: forming a plurality of sub-areas according to the decomposition of the fault area;

[0107] In an embodiment of the present application, a fault area is obtained, the fault area is controlled, and a working relationship is introduced in the fault area. At this time, the working relationship is defined based on the working relationship table of each component in the automobile, and the area is decomposed according to the working relationship and the fault area to form multiple sub-areas.

[0108] S144: locating multiple sub-areas, and defining a data collection order according to the work priorities of the multiple sub-areas;

[0109] S145: triggering data collection of corresponding sub-areas in sequence according to the data collection order, and collecting fault data of each sub-area.

[0110] Furthermore, multiple sub-areas are located and detailed processing is performed on the multiple sub-areas so as to define a data collection order according to the work priorities of the multiple sub-areas, and then perform data collection on the multiple sub-areas according to the data collection order. Therefore, data collection of the corresponding sub-areas is triggered in sequence according to the data collection order, and fault data of each sub-area is collected so as to further process the fault data of each sub-area.

[0111] S15: define a faulty component based on the fault data of each sub-area, and clarify the fault problem of the faulty component;

[0112] In an embodiment of the present application, the fault data of each sub-area is frozen so that a faulty component can be defined based on the fault data of each sub-area, and subsequent troubleshooting of the faulty component is carried out to clarify the fault problem of the faulty component, thereby performing subsequent maintenance based on the fault problem of the faulty component.

[0113] In the specific implementation process of the present invention, the specific steps may be:

[0114] S151: Obtaining fault data of each sub-area;

[0115] S152: Determine a plurality of tracing points according to the tracing of the fault data;

[0116] S153: Construct distribution areas based on multiple traceability points;

[0117] S154: locating existing components according to the traversal of the distribution area;

[0118] S155: Determine the faulty component based on the orientation of the distribution area and the existing components;

[0119] S156: Check the faulty component and check the turning point of the faulty data in the data to clarify the fault problem of the faulty component.

[0120] In an embodiment of the present application, fault data of each sub-area is obtained and traced back using the fault data, so as to determine multiple traceability points based on the traceability of the fault data. Among the multiple traceability points, the relationship between the multiple traceability points is used for further control.

[0121] At this time, a distribution area is constructed based on multiple traceability points; existing components are located according to the traversal of the distribution area; faulty components are identified based on the direction of the distribution area and the existing components; faulty components are checked, and turning points of faulty data in the data are checked to clarify the fault problems of the faulty components. Therefore, the distribution area is reflected based on multiple traceability points, and the direction of the distribution area and the existing components are fully utilized in the distribution area, so that the faulty components can be identified based on the direction of the distribution area and the existing components, and then the faulty components are deeply checked and the fault problems of the faulty components are clarified.

[0122] S16: triggering a training course according to the fault problem of the faulty component, and guiding the trainee to perform maintenance actions according to the training course;

[0123] In an embodiment of the present application, a fault area is defined based on the detection of the automobile after a collision, and the fault area is further managed and traced to determine the faulty component and the training course corresponding to the faulty component, thereby ensuring that the trainees can experience the training course in the virtual scene and providing practical guidance to the trainees.

[0124] In the specific implementation process of the present invention, the specific steps may be:

[0125] S161: Obtain the fault problem of the faulty component;

[0126] S162: defining a solution according to the fault problem of the faulty component and the problem matching table;

[0127] S163: triggering a practical training course based on the solution, and presenting a practical training guidance screen corresponding to the practical training course;

[0128] S164: Instructing the trainee on maintenance actions according to the training guidance screen.

[0129] In an embodiment of the present application, the fault problem of the faulty component is frozen so as to associate the fault problem of the faulty component with the problem matching table, fully reflecting the corresponding mapping relationship, and then defining the solution according to the fault problem of the faulty component and the problem matching table. At this time, the solution is introduced, the training tutorial is triggered based on the solution, and the training guidance screen corresponding to the training tutorial is presented, so as to guide the trainees' maintenance actions according to the training guidance screen.

[0130] In an embodiment of the present invention, through the method in the embodiment of the present invention, a collision between a car and an obstacle is constructed based on a virtual scene, and the collision between the car and the obstacle is regulated according to the collision mode triggered by the trainee, so as to improve the adaptability of the training. At the same time, the fault area is defined according to the detection of the car after the collision, and the fault area is further managed and traced, so as to determine the faulty component and the training course corresponding to the matching faulty component, thereby ensuring that the trainee's training course is reflected in the virtual scene and providing practical guidance to the trainee.

[0131] Example

[0132] See also Figure 7 , Figure 7 It is a schematic diagram of the structure of the automobile failure simulation training system in an embodiment of the present invention.

[0133] like Figure 7As shown, a simulation training system for automobile failures, the simulation training system for automobile failures comprises:

[0134] A virtual module 21 is used to simulate a car driving on a highway based on a virtual scene and match corresponding obstacles based on the driving habits of trainees;

[0135] A collision module 22, used to control the collision between the car and the obstacle according to the collision mode triggered by the trainee;

[0136] The fault area module 23 is used to detect the analog signal of the car after the car collides with the obstacle, and define the fault area according to the response data;

[0137] A fault data module 24, used to form multiple sub-areas based on the decomposition of the fault area, and collect fault data of each sub-area;

[0138] A fault problem module 25 is used to define a fault component based on the fault data of each sub-area and to clarify the fault problem of the fault component;

[0139] The guidance module 26 is used to trigger a training course according to the fault problem of the faulty component and guide the trainee's maintenance actions according to the training course.

[0140] Example

[0141] See also Figure 8 , refer to the following Figure 8 The electronic device 40 according to this embodiment of the present invention will be described. Figure 8 The electronic device 40 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0142] like Figure 8 As shown, the electronic device 40 is in the form of a general computing device. The components of the electronic device 40 may include but are not limited to: at least one processing unit 41, at least one storage unit 42, and a bus 43 connecting different system components (including the storage unit 42 and the processing unit 41).

[0143] The storage unit stores program codes, which can be executed by the processing unit 41, so that the processing unit 41 executes the steps according to various exemplary embodiments of the present invention described in the above “Embodiment Method” section of this specification.

[0144] The storage unit 42 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 421 and / or a cache memory unit 422 , and may further include a read-only memory unit (ROM) 423 .

[0145] The storage unit 42 may also include a program / utility 424 having a set (at least one) of program modules 425, such program modules 425 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0146] Bus 43 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0147] The electronic device 40 may also communicate with one or more external devices (e.g., keyboards, pointing devices, Bluetooth devices, etc.), one or more devices that enable a trainee to interact with the electronic device 40, and / or any device that enables the electronic device 40 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 44. Furthermore, the electronic device 40 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 45. Figure 8 As shown, the network adapter 45 communicates with other modules of the electronic device 40 via the bus 43. It should be understood that although Figure 8 Not shown, other hardware and / or software modules may be used in conjunction with the electronic device 40, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup planning systems.

[0148] Through the description of the above implementation, it is easy for those skilled in the art to understand that the example implementation described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the implementation of the present disclosure.

[0149] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium can include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc. In addition, it stores computer program instructions, and when the computer program instructions are executed by a computer, the computer executes the above method.

[0150] In addition, the above describes in detail the simulation training method and system for automobile failures provided in the embodiments of the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A simulation training method for automobile failure, characterized in that: Applied to car failure scenarios; The automobile failure simulation training method comprises: Based on the virtual scene, simulate the car driving on the highway, and match the corresponding obstacles based on the trainees' driving habits; Control the collision between the car and the obstacle according to the collision mode triggered by the trainee; After the car collides with an obstacle, the car is tested for analog signals and the fault area is defined based on the response data; Based on the decomposition of the fault area, multiple sub-areas are formed, and fault data of each sub-area is collected; Define the faulty components based on the fault data of each sub-area and identify the faulty problems of the faulty components; The training course is triggered according to the fault problem of the faulty component, and the maintenance actions of the trainees are guided according to the training course.

2. The vehicle failure simulation training method according to claim 1 is characterized in that: The method of simulating a car driving on a highway based on a virtual scene and matching corresponding obstacles based on the driving habits of trainees includes: Get the virtual scene; Based on the virtual scene, the name of the highway selected by the trainee is associated, and the camera on the highway is triggered to shoot at the current time to obtain the video at the preset time; Construct a highway model based on videos and virtual scenes, and simulate the driving of cars on the highway model; Collecting the driving habits of trainees based on their training tests; The corresponding obstacles are matched based on the trainees' driving habits and loaded into the highway model.

3. The vehicle failure simulation training method according to claim 2 is characterized in that: The method of regulating the collision between the vehicle and the obstacle according to the collision mode triggered by the trainee includes: Get the collision mode triggered by the trainee; Regulate the collision distance between the car and the obstacle and the collision speed of the car based on the collision mode; Control the collision degree of the car with the obstacle based on the collision distance between the car and the obstacle and the collision speed of the car; The collision of the car against the obstacle is triggered according to the collision degree of the car against the obstacle.

4. The vehicle failure simulation training method according to claim 3 is characterized in that: After the car collides with the obstacle, the car is tested for analog signals, and the fault area is defined according to the response data, including: Record the collision time between the car and the obstacle; The car's self-check is triggered according to the collision time between the car and the obstacle, and the collision position between the car and the obstacle is located; In the self-inspection of the car, the position of collision between the car and the obstacle is extended toward the center of the car, and the fracture is detected according to the extension direction; Perform analog signal detection according to the components corresponding to the fracture location and obtain corresponding response data; Locate abnormal data in the response data and define the fault area based on the abnormal data.

5. The vehicle failure simulation training method according to claim 1 is characterized in that: The forming of a plurality of sub-areas based on the decomposition of the fault area and collecting fault data of each sub-area includes: Get the fault area; Define the working relationship based on the working relationship table of each component in the car, and perform regional decomposition based on the working relationship and fault area; A plurality of sub-areas are formed according to the decomposition of the fault area.

6. The vehicle failure simulation training method according to claim 5 is characterized in that: The forming of a plurality of sub-areas based on the decomposition of the fault area and collecting fault data of each sub-area also includes: Locate multiple sub-areas and define the data collection order according to the work priorities of multiple sub-areas; The data collection of the corresponding sub-areas is triggered in sequence according to the data collection order, and the fault data of each sub-area is collected.

7. The vehicle failure simulation training method according to claim 6 is characterized in that: Defining the faulty component based on the fault data of each sub-area and clarifying the fault problem of the faulty component includes: Obtain fault data for each sub-area; Determine multiple tracing points based on the tracing of fault data; Build distribution areas based on multiple traceability points; The existing components are located based on the traversal of the distribution area.

8. The vehicle failure simulation training method according to claim 7 is characterized in that: The method of defining a faulty component based on the fault data of each sub-region and clarifying the fault problem of the faulty component further includes: Identify faulty components based on the orientation of the distribution area and the components present; Troubleshoot the faulty components and check the turning points of the faulty data in the data to identify the faulty components.

9. The vehicle failure simulation training method according to claim 8 is characterized in that: The method of triggering a training course according to the fault problem of the faulty component and guiding the trainee to perform maintenance actions according to the training course includes: Get the fault problem of the faulty component; Define solutions based on the fault problem of the faulty component and the problem matching table; Trigger the practical training course based on the solution, and present the practical training guidance screen corresponding to the practical training course; Guide trainees' maintenance actions according to the training guidance screen.

10. A simulation training system for automobile failure, characterized in that: The automobile failure simulation training system is applied to the automobile failure simulation training method as claimed in any one of claims 1 to 9, and the automobile failure simulation training system comprises: The virtual module is used to simulate a car driving on a highway based on a virtual scene and match corresponding obstacles based on the trainees’ driving habits; The collision module is used to control the collision between the car and the obstacle according to the collision mode triggered by the trainee; The fault area module is used to detect the simulated signal of the car after the car collides with an obstacle and define the fault area according to the response data; A fault data module, used to form multiple sub-areas based on the decomposition of the fault area, and collect fault data of each sub-area; A fault problem module is used to define faulty components based on the fault data of each sub-area and to identify the faulty problems of the faulty components; The guidance module is used to trigger the practical training course according to the fault problem of the faulty component, and guide the trainees to perform maintenance actions according to the practical training course.

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