Vehicle maintenance teaching simulation system and method

Abstract

The invention relates to the technical field of vehicle maintenance simulation training systems, and provides a vehicle maintenance teaching simulation system and method, efficient and safe vehicle maintenance teaching is realized through a server side, a background control side and virtual equipment worn by trainees, the virtual reality technology is utilized, and the training efficiency is improved. The system creates a simulated learning environment for students, comprehensively monitors the learning progress and content of the students through a data acquisition unit, a knowledge base construction unit, a virtual scene construction unit, a simulated teaching unit, a teaching monitoring unit and the like, enables the learning data to be accurate and real-time, also provides personalized teaching content and instant feedback, effectively improves the learning effect and the resource utilization efficiency, and improves the teaching experience. The problem that when a simulation system carries out simulation learning on a student, the student wears virtual equipment to carry out simulation learning, so that learning monitoring and learning content supervision of the student are difficult, and the learning progress and content of the student cannot be effectively controlled is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle simulation training systems, and in particular to a vehicle maintenance teaching simulation system and method. Background Art

[0002] With the continuous advancement of science and technology, the field of vehicle maintenance teaching has also ushered in technological innovation. Traditional vehicle maintenance teaching methods mostly rely on physical vehicles and on-site operations, but this method is limited by time, space and cost. In recent years, with the rapid development of virtual reality (VR) and augmented reality (AR) technology, simulation systems have been increasingly used in the field of education and training, providing new possibilities for vehicle maintenance teaching, allowing students to learn and practice in a safer and more efficient environment.

[0003] In modern vehicle maintenance teaching, the simulation system allows students to simulate actual operation processes through a highly simulated virtual environment, and learn maintenance processes such as troubleshooting and parts replacement. Students can enter the virtual maintenance workshop through head-mounted devices, interact with virtual vehicles, and perform various maintenance operations. The system will provide instant feedback based on the students' operations to help students understand and master the correct maintenance methods. In addition, the simulation system can also simulate various complex fault conditions, allowing students to learn and respond in a safe environment.

[0004] Although the simulation system has shown significant advantages in vehicle maintenance teaching, it also has the following technical pain points. When students are conducting simulated learning in the simulation system, it is difficult to monitor the students' learning and supervise the learning content because the students wear virtual devices for simulated learning, resulting in the inability to effectively control the students' learning progress and content. For this reason, the present invention provides a vehicle maintenance teaching simulation system and method. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a vehicle maintenance teaching simulation system and method, which solves the problem that when students are performing simulation learning in the simulation system, it is difficult to monitor the students' learning and supervise the learning content, resulting in the inability to effectively control the students' learning progress and content.

[0006] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows:

[0007] In a first aspect, the present invention provides a vehicle maintenance teaching simulation system, comprising: a server end, a background control end, and a virtual device worn by a trainee, wherein the server end establishes a communication connection with the background control end and the virtual device worn by the trainee;

[0008] Data acquisition unit, which acquires vehicle maintenance teaching data. The vehicle maintenance teaching data includes maintenance vehicle digital twin data, maintenance vehicle tutorial digital twin data, maintenance vehicle course learning process data, and vehicle maintenance teaching history data

[0009] The knowledge base construction unit receives the vehicle information to be learned, the vehicle information to be learned includes vehicle model, vehicle type, and vehicle fault information, collects data according to the vehicle information to be learned, obtains a vehicle data set to be learned, and constructs a knowledge base according to the vehicle data set to be learned;

[0010] The virtual scene construction unit matches the vehicle maintenance teaching data in the knowledge base to obtain the vehicle model, vehicle type, and vehicle fault information corresponding to the vehicle maintenance teaching data, and substitutes the vehicle model and vehicle type corresponding to the vehicle maintenance teaching data into a pre-set digital twin image model to generate a vehicle maintenance teaching image;

[0011] The simulation teaching unit obtains the data format and configuration of the virtual device worn by the trainee, converts the vehicle maintenance teaching image into the data format and configuration matching the virtual device worn by the trainee, obtains the vehicle maintenance teaching image after the conversion, and substitutes the vehicle maintenance teaching image after the conversion into the virtual device worn by the trainee for vehicle maintenance teaching simulation learning;

[0012] The teaching monitoring unit collects the learning data of the students in the vehicle maintenance teaching simulation, receives the vehicle maintenance learning teaching progress information, and compares the learning data of the students in the vehicle maintenance teaching simulation with the vehicle maintenance learning teaching progress information. If the learning data of the students in the vehicle maintenance teaching simulation is lower than the vehicle maintenance learning teaching progress information, a warning information about the lagging learning progress of the students is generated.

[0013] Furthermore, the vehicle maintenance teaching simulation system provided by the present invention is characterized in that the data acquisition unit comprises:

[0014] The server side determines the data source, and establishes a communication connection with the determined data source;

[0015] Extract the required vehicle maintenance teaching data from the data source by executing SQL queries, reading file contents, calling external APIs and processing the data returned;

[0016] Testing the vehicle maintenance teaching data, including the type and format of the data and whether there are missing values ​​and abnormal values;

[0017] Store the detected data in the database.

[0018] Furthermore, the vehicle maintenance teaching simulation system provided by the present invention includes a knowledge base construction unit, comprising:

[0019] After receiving the vehicle information to be learned, data is collected according to the vehicle information to be learned, and the vehicle information to be learned includes technical parameters, structural information, common faults and solutions of the vehicle, so as to form a vehicle data set to be learned;

[0020] The knowledge base includes the structural information of the vehicle, the function and location of each vehicle component, the diagnosis method of common faults of each vehicle component and the maintenance steps of each vehicle component.

[0021] Furthermore, the vehicle maintenance teaching simulation system provided by the present invention, the virtual scene construction unit includes:

[0022] Vehicle maintenance teaching videos include demonstrations of specific vehicle maintenance processes such as troubleshooting and parts replacement, which are used by trainees to conduct practical operations and learn in a virtual environment;

[0023] The virtual scene construction unit also includes a light and shadow adjustment unit, which is used to adjust the light and shadow effects of the vehicle maintenance teaching image.

[0024] Furthermore, the vehicle maintenance teaching simulation system provided by the present invention includes a simulation teaching unit, comprising:

[0025] After obtaining the information of the virtual device worn by the trainee, the simulation teaching unit converts the vehicle maintenance teaching image into a data format and configuration that matches the virtual device worn by the trainee. The conversion process includes the adjustment of image resolution, color space, and encoding method;

[0026] The converted vehicle maintenance teaching images are transmitted and inserted into the virtual device worn by the trainees. During the simulated teaching process, the simulated teaching unit provides instant feedback based on the trainees' operations.

[0027] Furthermore, the vehicle maintenance teaching simulation system and the teaching monitoring unit provided by the present invention include:

[0028] Collecting the learning data of trainees in the vehicle maintenance teaching simulation learning, the learning data of trainees in the vehicle maintenance teaching simulation learning includes the trainees' operation records, task completion time and number of errors;

[0029] Receive vehicle maintenance learning and teaching progress information preset by the system administrator according to the teaching plan,

[0030] The collected student learning data and received teaching progress information will be compared and analyzed by the teaching monitoring unit to assess whether the student's learning progress lags behind the teaching plan;

[0031] If the comparison finds that the student's learning progress is lower than the teaching progress information, the teaching monitoring unit generates a warning message that the student's learning progress is lagging behind;

[0032] When warning information is generated, the teaching monitoring unit feeds the information back to the teacher or system administrator.

[0033] Furthermore, the vehicle maintenance teaching simulation system and the teaching monitoring unit provided by the present invention further include:

[0034] The teaching monitoring unit collects the learning data of the trainees during the vehicle maintenance teaching simulation learning process. The learning data during the vehicle maintenance teaching simulation learning process includes the trainees' operation records, task completion time, and number of errors;

[0035] The learning data collected during the vehicle maintenance teaching simulation learning process is cleaned and preprocessed, and the deep learning algorithm is used to conduct an in-depth comparative analysis of the students' actual learning data and the preset teaching progress. Evaluation indicators are set according to the teaching progress information to obtain the trained model. The evaluation indicators include task completion rate, learning time compliance, and error rate.

[0036] Extract teaching progress information from learning data in the vehicle maintenance teaching simulation learning process, set the features corresponding to the evaluation indicators as the input of the algorithm, use the trained model to evaluate the students' learning progress, and predict whether the students' learning progress lags behind the teaching progress;

[0037] If the model prediction results show that the student's learning progress lags behind, the server generates a warning message through the teaching monitoring unit.

[0038] In a second aspect, the present invention provides a vehicle maintenance teaching simulation method, which is applied to the vehicle maintenance teaching simulation system, comprising:

[0039] Step S101, obtaining vehicle maintenance teaching data, the vehicle maintenance teaching data including maintenance vehicle digital twin data, maintenance vehicle course digital twin data, maintenance vehicle course learning process data and vehicle maintenance teaching history data;

[0040] Step S102, receiving vehicle information to be learned, the vehicle information to be learned includes vehicle model, vehicle type, and vehicle fault information, collecting data according to the vehicle information to be learned, obtaining a vehicle data set to be learned, and building a knowledge base according to the vehicle data set to be learned;

[0041] Step S103, matching the vehicle maintenance teaching data in the knowledge base to obtain the vehicle model, vehicle type, and vehicle fault information corresponding to the vehicle maintenance teaching data, substituting the vehicle model and vehicle type corresponding to the vehicle maintenance teaching data into a pre-set digital twin image model to generate a vehicle maintenance teaching image;

[0042] Step S104, obtaining the data format and configuration of the virtual device worn by the trainee, converting the vehicle maintenance teaching image into a data format and configuration matching the virtual device worn by the trainee, obtaining the vehicle maintenance teaching image after the conversion, and substituting the vehicle maintenance teaching image after the conversion into the virtual device worn by the trainee for vehicle maintenance teaching simulation learning;

[0043] Step S105, collecting the learning data of the students in the vehicle maintenance teaching simulation, receiving the vehicle maintenance learning teaching progress information, comparing the learning data of the students in the vehicle maintenance teaching simulation with the vehicle maintenance learning teaching progress information, if the learning data of the students in the vehicle maintenance teaching simulation is lower than the vehicle maintenance learning teaching progress information, then generating the student learning progress lagging warning information.

[0044] Beneficial effects of the present invention: First, the present invention provides students with a safe and efficient simulated learning environment through virtual reality technology, which not only avoids many limitations in traditional vehicle maintenance teaching, but also allows students to perform various maintenance operations in a virtual environment and obtain instant feedback, so as to quickly master the correct maintenance methods and improve learning efficiency and safety. Secondly, the system effectively enhances the learning monitoring and management capabilities by real-time monitoring and management of the students' simulated learning process, and setting up a special teaching monitoring unit to collect and analyze the students' learning data. In addition, the present invention can also build a knowledge base based on the information of the vehicle to be learned, generate teaching images that match the virtual equipment worn by the students, provide personalized teaching content for the students, and help the students to adjust and improve their operating behaviors in time through an instant feedback mechanism. The present invention improves the teaching effect, enables students to learn and deal with complex fault conditions in a safe environment, and improves their ability to deal with practical problems. Finally, the present invention also successfully integrates a variety of advanced technologies such as virtual reality, digital twins, and deep learning, realizes the comprehensive acquisition, processing and utilization of vehicle maintenance teaching data, effectively integrates teaching resources, and improves the utilization efficiency of teaching resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0046] Figure 1 A schematic diagram of a method flow chart provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. 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. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.

[0048] In order to better understand the purpose of the present invention, the present invention is described in further detail below.

[0049] In a first aspect, the present invention provides a vehicle maintenance teaching simulation system, comprising: a server end, a background control end, and a virtual device worn by a trainee, wherein the server end establishes a communication connection with the background control end and the virtual device worn by the trainee;

[0050] Data acquisition unit, which acquires vehicle maintenance teaching data. The vehicle maintenance teaching data includes maintenance vehicle digital twin data, maintenance vehicle tutorial digital twin data, maintenance vehicle course learning process data, and vehicle maintenance teaching history data

[0051] The data acquisition unit determines the data source, which includes a database, a file, or an external API, and extracts the required data from it.

[0052] In the data extraction stage, the data acquisition unit executes SQL queries (for database data sources), reads file contents (for file data sources), or calls external APIs and processes the data returned (for external API data sources), thereby acquiring vehicle maintenance teaching data.

[0053] The acquired data mainly include four types: maintenance vehicle digital twin data, maintenance vehicle tutorial digital twin data, maintenance vehicle course learning process data, and vehicle maintenance teaching history data. The system simulates real vehicles, guides students to perform vehicle maintenance operations, organizes and manages teaching content, and analyzes teaching effects.

[0054] After extracting the data, the data acquisition unit will test the data, including whether the data type and format are correct, and whether there are missing values ​​or abnormal values. The valid data that has been tested will be stored in the database for subsequent processing. The data processing process involves extracting data from the data source, testing the data quality, and storing the valid data in the database.

[0055] The knowledge base construction unit receives the vehicle information to be learned, the vehicle information to be learned includes vehicle model, vehicle type, and vehicle fault information, collects data according to the vehicle information to be learned, obtains a vehicle data set to be learned, and constructs a knowledge base according to the vehicle data set to be learned;

[0056] The knowledge base construction unit receives the information of the vehicle to be learned, and the information of the learning vehicle includes the vehicle model, vehicle type and vehicle fault information. According to the received information of the vehicle to be learned, the knowledge base construction unit collects data, including the technical parameters, structural information, common faults and their solutions of the vehicle, and other related data. The data will be integrated into a data set of the vehicle to be learned. Using the data set, the knowledge base construction unit constructs the knowledge base. The content of the knowledge base includes the structural information of the vehicle, the function and position of each component of the vehicle, the diagnosis method of common faults of each component of the vehicle, and the maintenance steps of each component of the vehicle. During the construction process, the information in the data set of the vehicle to be learned is matched and integrated with the existing information in the knowledge base. If the vehicle to be learned has new knowledge or special circumstances, the knowledge base will be updated accordingly. For example, the information of the vehicle to be learned is a specific model of truck, model ABC123, type is a heavy truck, and the known fault information is engine overheating. The system first receives this information, and then collects the specific technical parameters, structural layout, engine working principle, common engine overheating causes and solutions of the model truck based on this information. All the collected data will be integrated into a detailed data set about the ABC123 model truck. Finally, the information in this data set will be matched to the knowledge base, especially the diagnosis and repair steps for engine overheating failures. If there is no completely matching information in the knowledge base, the system will make corresponding supplements.

[0057] The virtual scene construction unit matches the vehicle maintenance teaching data in the knowledge base to obtain the vehicle model, vehicle type, and vehicle fault information corresponding to the vehicle maintenance teaching data, and substitutes the vehicle model and vehicle type corresponding to the vehicle maintenance teaching data into a pre-set digital twin image model to generate a vehicle maintenance teaching image;

[0058] The virtual scene construction unit matches the vehicle maintenance teaching data in the knowledge base, extracts specific information such as vehicle model, vehicle type, vehicle fault information, etc., and queries the matching data in the knowledge base to obtain the corresponding vehicle detailed information.

[0059] When the corresponding vehicle information is matched, it is substituted into the pre-set digital twin image model. The digital twin image model can simulate the real vehicle structure and maintenance scenarios, and generate corresponding vehicle maintenance teaching images based on the substituted information. The vehicle maintenance teaching images include specific vehicle maintenance processes such as troubleshooting and parts replacement, so that students can perform practical operations and learning in a virtual environment.

[0060] The virtual scene construction unit also includes a light and shadow adjustment unit. The vehicle maintenance teaching image is responsible for adjusting the light and shadow effects of the vehicle maintenance teaching image. By optimizing the presentation of light and shadow, it ensures that the image is realistic and immersive, providing students with a more realistic learning environment.

[0061] The simulation teaching unit obtains the data format and configuration of the virtual device worn by the trainee, converts the vehicle maintenance teaching image into the data format and configuration matching the virtual device worn by the trainee, obtains the vehicle maintenance teaching image after the conversion, and substitutes the vehicle maintenance teaching image after the conversion into the virtual device worn by the trainee for vehicle maintenance teaching simulation learning;

[0062] The simulation teaching unit identifies and establishes a communication connection with the virtual device worn by the trainee, and obtains the data format and configuration information of the device. The data format and configuration information of the device include the resolution, color space, encoding method, etc. of the device.

[0063] Next, based on the acquired virtual device data format and configuration information, the simulation teaching unit performs corresponding format conversion on the vehicle maintenance teaching image, including adjusting the image resolution, color space, encoding method, etc., to ensure that the converted image is fully compatible with the virtual device worn by the trainees.

[0064] Then, the converted vehicle maintenance teaching images will be directly transmitted by the simulation teaching unit and loaded into the virtual device worn by the trainees. The trainees can watch images that are highly similar to the real maintenance scenes in the virtual environment, so as to conduct simulated learning and operation.

[0065] In addition, the simulation teaching unit will capture the trainees' operating behaviors in real time during the simulation teaching process, and provide trainees with instant operation feedback based on the preset feedback mechanism. The instant feedback mechanism helps trainees to adjust and improve their maintenance skills in a timely manner, making learning more efficient and targeted.

[0066] The teaching monitoring unit collects the learning data of the students in the vehicle maintenance teaching simulation, receives the vehicle maintenance learning teaching progress information, and compares the learning data of the students in the vehicle maintenance teaching simulation with the vehicle maintenance learning teaching progress information. If the learning data of the students in the vehicle maintenance teaching simulation is lower than the vehicle maintenance learning teaching progress information, a warning information about the lagging learning progress of the students is generated.

[0067] The teaching monitoring unit collects students' learning data during the simulated learning process. The learning data during the simulated learning process includes students' operation records, task completion time, number of errors, etc., which fully reflects the students' learning performance.

[0068] The teaching monitoring unit also receives the vehicle maintenance learning teaching progress information preset by the system administrator according to the teaching plan, which represents the goals to be achieved in each learning stage predetermined in the teaching plan.

[0069] The teaching monitoring unit compares and analyzes the collected student learning data and the received teaching progress information. By evaluating key indicators such as the student's task completion rate, learning time compliance, and error rate, the system can determine whether the student's learning progress is consistent with the teaching plan.

[0070] If comparative analysis finds that the student's learning progress is lower than the preset teaching progress information, the teaching monitoring unit generates an early warning message that the student's learning progress is lagging behind. The early warning message points out in which aspects the student is lagging behind and may give corresponding suggestions or remedial measures.

[0071] When warning information is generated, the teaching monitoring unit will feed back the information to the teacher or system administrator so that the teaching plan can be adjusted according to the actual situation of the students or personalized guidance and assistance can be provided.

[0072] In addition, the system can also use deep learning algorithms for more detailed analysis. Through the cleaning and preprocessing of learning data and the application of deep learning algorithms, the system can more accurately predict whether the student's learning progress lags behind the teaching progress. If the model prediction results show that the student's learning progress lags behind, the server generates early warning information through the teaching monitoring unit to further ensure that the student's learning progress is effectively monitored and managed.

[0073] Specifically, the vehicle maintenance teaching simulation system provided by the present invention is characterized in that the data acquisition unit comprises:

[0074] The server side determines the data source, and establishes a communication connection with the determined data source;

[0075] Extract the required vehicle maintenance teaching data from the data source by executing SQL queries, reading file contents, calling external APIs and processing the data returned;

[0076] Testing the vehicle maintenance teaching data, including the type and format of the data and whether there are missing values ​​and abnormal values;

[0077] Store the detected data in the database.

[0078] Specifically, the vehicle maintenance teaching simulation system provided by the present invention, the knowledge base construction unit includes:

[0079] After receiving the vehicle information to be learned, data is collected according to the vehicle information to be learned, and the vehicle information to be learned includes technical parameters, structural information, common faults and solutions of the vehicle, so as to form a vehicle data set to be learned;

[0080] The knowledge base includes the structural information of the vehicle, the function and location of each vehicle component, the diagnosis method of common faults of each vehicle component and the maintenance steps of each vehicle component.

[0081] Specifically, the vehicle maintenance teaching simulation system provided by the present invention, the virtual scene construction unit, includes:

[0082] Vehicle maintenance teaching videos include demonstrations of specific vehicle maintenance processes such as troubleshooting and parts replacement, which are used by trainees to conduct practical operations and learn in a virtual environment;

[0083] The virtual scene construction unit also includes a light and shadow adjustment unit, which is used to adjust the light and shadow effects of the vehicle maintenance teaching image.

[0084] Specifically, the vehicle maintenance teaching simulation system provided by the present invention, the simulation teaching unit, includes:

[0085] After obtaining the information of the virtual device worn by the trainee, the simulation teaching unit converts the vehicle maintenance teaching image into a data format and configuration that matches the virtual device worn by the trainee. The conversion process includes the adjustment of image resolution, color space, and encoding method;

[0086] The converted vehicle maintenance teaching images are transmitted and inserted into the virtual device worn by the trainees. During the simulated teaching process, the simulated teaching unit provides instant feedback based on the trainees' operations.

[0087] Specifically, the vehicle maintenance teaching simulation system and the teaching monitoring unit provided by the present invention include:

[0088] Collecting the learning data of trainees in the vehicle maintenance teaching simulation learning, the learning data of trainees in the vehicle maintenance teaching simulation learning includes the trainees' operation records, task completion time and number of errors;

[0089] Receive vehicle maintenance learning and teaching progress information preset by the system administrator according to the teaching plan,

[0090] The collected student learning data and received teaching progress information will be compared and analyzed by the teaching monitoring unit to assess whether the student's learning progress lags behind the teaching plan;

[0091] If the comparison finds that the student's learning progress is lower than the teaching progress information, the teaching monitoring unit generates a warning message that the student's learning progress is lagging behind;

[0092] When warning information is generated, the teaching monitoring unit feeds the information back to the teacher or system administrator.

[0093] Specifically, the vehicle maintenance teaching simulation system and the teaching monitoring unit provided by the present invention also include:

[0094] The teaching monitoring unit collects the learning data of the trainees during the vehicle maintenance teaching simulation learning process. The learning data during the vehicle maintenance teaching simulation learning process includes the trainees' operation records, task completion time, and number of errors;

[0095] The learning data collected during the vehicle maintenance teaching simulation learning process is cleaned and preprocessed, and the deep learning algorithm is used to conduct an in-depth comparative analysis of the students' actual learning data and the preset teaching progress. Evaluation indicators are set according to the teaching progress information to obtain the trained model. The evaluation indicators include task completion rate, learning time compliance, and error rate.

[0096] Extract teaching progress information from learning data in the vehicle maintenance teaching simulation learning process, set the features corresponding to the evaluation indicators as the input of the algorithm, use the trained model to evaluate the students' learning progress, and predict whether the students' learning progress lags behind the teaching progress;

[0097] If the model prediction results show that the student's learning progress lags behind, the server generates a warning message through the teaching monitoring unit.

[0098] In a second aspect, the present invention provides a vehicle maintenance teaching simulation method, which is applied to the vehicle maintenance teaching simulation system, comprising:

[0099] Step S101, obtaining vehicle maintenance teaching data, the vehicle maintenance teaching data including maintenance vehicle digital twin data, maintenance vehicle course digital twin data, maintenance vehicle course learning process data and vehicle maintenance teaching history data;

[0100] Step S102, receiving vehicle information to be learned, the vehicle information to be learned includes vehicle model, vehicle type, and vehicle fault information, collecting data according to the vehicle information to be learned, obtaining a vehicle data set to be learned, and building a knowledge base according to the vehicle data set to be learned;

[0101] Step S103, matching the vehicle maintenance teaching data in the knowledge base to obtain the vehicle model, vehicle type, and vehicle fault information corresponding to the vehicle maintenance teaching data, substituting the vehicle model and vehicle type corresponding to the vehicle maintenance teaching data into a pre-set digital twin image model to generate a vehicle maintenance teaching image;

[0102] Step S104, obtaining the data format and configuration of the virtual device worn by the trainee, converting the vehicle maintenance teaching image into a data format and configuration matching the virtual device worn by the trainee, obtaining the vehicle maintenance teaching image after the conversion, and substituting the vehicle maintenance teaching image after the conversion into the virtual device worn by the trainee for vehicle maintenance teaching simulation learning;

[0103] Step S105, collecting the learning data of the students in the vehicle maintenance teaching simulation, receiving the vehicle maintenance learning teaching progress information, comparing the learning data of the students in the vehicle maintenance teaching simulation with the vehicle maintenance learning teaching progress information, if the learning data of the students in the vehicle maintenance teaching simulation is lower than the vehicle maintenance learning teaching progress information, then generating the student learning progress lagging warning information.

[0104] The technical solution of the present invention effectively solves the problem of difficulty in learning monitoring and learning content supervision when students wear virtual equipment to perform simulated learning in the simulation system.

[0105] Firstly, the present invention establishes a stable communication connection with the virtual device worn by the trainee through the server side and the background control side, so that the system can monitor and manage the trainee's simulated learning process in real time, and provides the accuracy and real-time nature of the learning data.

[0106] Secondly, the present invention specially establishes a teaching monitoring unit, which is responsible for collecting detailed learning data of students in the vehicle maintenance teaching simulation learning, and conducting comparative analysis to evaluate whether the students' learning progress lags behind the teaching plan. The comparative analysis mechanism of the teaching monitoring unit can accurately grasp the students' learning situation and discover and solve problems in a timely manner.

[0107] When it is found that the student's learning progress is lower than the preset teaching progress information, the teaching monitoring unit generates an early warning message of the student's lagging learning progress and promptly feeds back to the teacher or system administrator so that they can take corresponding remedial measures according to the student's actual situation.

[0108] To sum up, the present invention solves the problem of difficult learning monitoring and learning content supervision when students wear virtual devices for simulated learning through the comprehensive use of multiple innovative measures, providing students with an efficient, convenient and personalized learning environment, while enabling teachers or system administrators to effectively control students' learning progress and content.

[0109] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations, and the above-mentioned embodiments of the present invention do not constitute a limitation on the scope of protection of the present invention.

Claims

1. A vehicle maintenance teaching simulation system, characterized in that: include: The server side, the backend control side and the student wearing the virtual device, the server side establishes a communication connection with the backend control side and the student wearing the virtual device; Data acquisition unit, which acquires vehicle maintenance teaching data. The vehicle maintenance teaching data includes maintenance vehicle digital twin data, maintenance vehicle tutorial digital twin data, maintenance vehicle course learning process data, and vehicle maintenance teaching history data The knowledge base construction unit receives the vehicle information to be learned, the vehicle information to be learned includes vehicle model, vehicle type, and vehicle fault information, collects data according to the vehicle information to be learned, obtains a vehicle data set to be learned, and constructs a knowledge base according to the vehicle data set to be learned; The virtual scene construction unit matches the vehicle maintenance teaching data in the knowledge base to obtain the vehicle model, vehicle type, and vehicle fault information corresponding to the vehicle maintenance teaching data, and substitutes the vehicle model and vehicle type corresponding to the vehicle maintenance teaching data into a pre-set digital twin image model to generate a vehicle maintenance teaching image; The simulation teaching unit obtains the data format and configuration of the virtual device worn by the trainee, converts the vehicle maintenance teaching image into the data format and configuration matching the virtual device worn by the trainee, obtains the vehicle maintenance teaching image after the conversion, and substitutes the vehicle maintenance teaching image after the conversion into the virtual device worn by the trainee for vehicle maintenance teaching simulation learning; The teaching monitoring unit collects the learning data of the students in the vehicle maintenance teaching simulation, receives the vehicle maintenance learning teaching progress information, and compares the learning data of the students in the vehicle maintenance teaching simulation with the vehicle maintenance learning teaching progress information. If the learning data of the students in the vehicle maintenance teaching simulation is lower than the vehicle maintenance learning teaching progress information, a warning information about the lagging learning progress of the students is generated.

2. The vehicle maintenance teaching simulation system according to claim 1, characterized in that: The data acquisition unit comprises: The server side determines the data source, and establishes a communication connection with the determined data source; Extract the required vehicle maintenance teaching data from the data source by executing SQL queries, reading file contents, calling external APIs and processing the data returned; Testing the vehicle maintenance teaching data, including the type and format of the data and whether there are missing values ​​and abnormal values; Store the detected data in the database.

3. The vehicle maintenance teaching simulation system according to claim 1, characterized in that: Knowledge base building blocks include: After receiving the vehicle information to be learned, data is collected according to the vehicle information to be learned, and the vehicle information to be learned includes technical parameters, structural information, common faults and solutions of the vehicle, so as to form a vehicle data set to be learned; The knowledge base includes the structural information of the vehicle, the function and location of each vehicle component, the diagnosis method of common faults of each vehicle component and the maintenance steps of each vehicle component.

4. The vehicle maintenance teaching simulation system according to claim 1, characterized in that: Virtual scene construction unit, including: Vehicle maintenance teaching videos include demonstrations of specific vehicle maintenance processes such as troubleshooting and parts replacement, which are used by trainees to conduct practical operations and learn in a virtual environment; The virtual scene construction unit also includes a light and shadow adjustment unit, which is used to adjust the light and shadow effects of the vehicle maintenance teaching image.

5. The vehicle maintenance teaching simulation system according to claim 1, characterized in that: Simulation teaching unit, including: After obtaining the information of the virtual device worn by the trainee, the simulation teaching unit converts the vehicle maintenance teaching image into a data format and configuration that matches the virtual device worn by the trainee. The conversion process includes the adjustment of image resolution, color space, and encoding method; The converted vehicle maintenance teaching images are transmitted and inserted into the virtual device worn by the trainees. During the simulated teaching process, the simulated teaching unit provides instant feedback based on the trainees' operations.

6. The vehicle maintenance teaching simulation system according to claim 1, characterized in that: Teaching monitoring unit, including: Collecting the learning data of trainees in the vehicle maintenance teaching simulation learning, the learning data of trainees in the vehicle maintenance teaching simulation learning includes the trainees' operation records, task completion time and number of errors; Receive vehicle maintenance learning and teaching progress information preset by the system administrator according to the teaching plan, The collected student learning data and received teaching progress information will be compared and analyzed by the teaching monitoring unit to assess whether the student's learning progress lags behind the teaching plan; If the comparison finds that the student's learning progress is lower than the teaching progress information, the teaching monitoring unit generates a warning message that the student's learning progress is lagging behind; When warning information is generated, the teaching monitoring unit feeds the information back to the teacher or system administrator.

7. The vehicle maintenance teaching simulation system according to claim 1, characterized in that: The teaching monitoring unit also includes: The teaching monitoring unit collects the learning data of the trainees during the vehicle maintenance teaching simulation learning process. The learning data during the vehicle maintenance teaching simulation learning process includes the trainees' operation records, task completion time, and number of errors; The learning data collected during the vehicle maintenance teaching simulation learning process is cleaned and preprocessed, and the deep learning algorithm is used to conduct an in-depth comparative analysis of the students' actual learning data and the preset teaching progress. Evaluation indicators are set according to the teaching progress information to obtain the trained model. The evaluation indicators include task completion rate, learning time compliance, and error rate. Extract teaching progress information from learning data in the vehicle maintenance teaching simulation learning process, set the features corresponding to the evaluation indicators as the input of the algorithm, use the trained model to evaluate the students' learning progress, and predict whether the students' learning progress lags behind the teaching progress; If the model prediction results show that the student's learning progress lags behind, the server generates a warning message through the teaching monitoring unit.

8. A vehicle maintenance teaching simulation method, applied to the vehicle maintenance teaching simulation system as claimed in any one of claims 1 to 7, characterized in that: include, Step S101, obtaining vehicle maintenance teaching data, the vehicle maintenance teaching data including maintenance vehicle digital twin data, maintenance vehicle course digital twin data, maintenance vehicle course learning process data and vehicle maintenance teaching history data; Step S102, receiving vehicle information to be learned, the vehicle information to be learned includes vehicle model, vehicle type, and vehicle fault information, collecting data according to the vehicle information to be learned, obtaining a vehicle data set to be learned, and building a knowledge base according to the vehicle data set to be learned; Step S103, matching the vehicle maintenance teaching data in the knowledge base to obtain the vehicle model, vehicle type, and vehicle fault information corresponding to the vehicle maintenance teaching data, substituting the vehicle model and vehicle type corresponding to the vehicle maintenance teaching data into a pre-set digital twin image model to generate a vehicle maintenance teaching image; Step S104, obtaining the data format and configuration of the virtual device worn by the trainee, converting the vehicle maintenance teaching image into a data format and configuration matching the virtual device worn by the trainee, obtaining the vehicle maintenance teaching image after the conversion, and substituting the vehicle maintenance teaching image after the conversion into the virtual device worn by the trainee for vehicle maintenance teaching simulation learning; Step S105, collecting the learning data of the students in the vehicle maintenance teaching simulation, receiving the vehicle maintenance learning teaching progress information, comparing the learning data of the students in the vehicle maintenance teaching simulation with the vehicle maintenance learning teaching progress information, if the learning data of the students in the vehicle maintenance teaching simulation is lower than the vehicle maintenance learning teaching progress information, then generating the student learning progress lagging warning information.

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