An AR-based comprehensive teaching and training system for intelligent manufacturing

Abstract

The present application discloses an AR-based comprehensive teaching and training system for intelligent manufacturing, which relates to the field of intelligent manufacturing technology, and includes: a user management unit, a simulation teaching unit, a training operation unit and an assessment unit; the simulation teaching unit is used to mark and associate the teaching model with its status data in each application scenario, and execute the business according to the preset business execution logic and user interaction instructions, and conduct AR interactive teaching; the training operation unit is used to flexibly organize different types of manufacturing system production lines, and conduct training simulation of the production line model according to the user's interaction data, and can also store and update different training projects; the assessment unit is used to make operation judgments and score statistics based on the feedback information of the trainees on the assessment question group, and evaluate the learning proficiency of the trainees. The present application can make teaching more vivid and three-dimensional, and realize the supervision of the training process of intelligent manufacturing talents, and the optimal allocation of training resources, so as to improve the efficiency and effect of training.

Description

Technical Field

[0001] The present application relates to the field of intelligent manufacturing technology, and specifically to an AR-based intelligent manufacturing comprehensive teaching and training system. Background Art

[0002] Traditional teaching methods place too much emphasis on "inculcation" of knowledge, resulting in insufficient students' ability to learn on their own initiative and the ability to solve complex engineering problems in real scenarios. In addition, practical teaching is affected by many factors such as venues and resources. The teaching model is single and resources are scarce. For large, complex and high-risk professional experiments, it is difficult to meet students' ability training needs due to limitations in time, cost, equipment, number of experiments and number of times. The existing intelligent manufacturing training platform for ordinary vocational colleges only uses mature software and hardware equipment on the market for simple integration, with relatively rigid functions, limited teaching effects, and lack of full-factor practical training. Summary of the invention

[0003] In view of this, the present application provides an AR-based comprehensive teaching and training system for intelligent manufacturing, through which intelligent manufacturing talents can be trained in a diversified, targeted and efficient manner, solving the problem that the traditional teaching model is single and resources are scarce. For large, complex and high-risk professional experiments, it is difficult to meet students' ability training needs due to limitations in time, cost, equipment, number of experiments and number of times. The existing intelligent manufacturing training platform for ordinary vocational colleges only uses mature software and hardware equipment on the market for simple integration, with relatively rigid functions, limited teaching effects, and lack of technical problems such as full-factor practical training.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] An AR-based intelligent manufacturing comprehensive teaching and training system, including: a user management unit, a simulation teaching unit, a training operation unit and an assessment unit;

[0006] The user management unit is used to obtain the role and teaching mode information selected by the user, and send a trigger signal to the simulation teaching unit, the practical training operation unit or the assessment unit according to the selected teaching mode information, and is also used to store the user's identity information and verify the user's login information;

[0007] The simulation teaching unit is used to mark and associate the teaching model and the state data of the teaching model in each application scenario, and execute the business according to the preset business execution logic and the received user interaction instructions, and visualize the execution results. It is also used for AR interactive teaching;

[0008] The training operation unit is used to flexibly build different types of manufacturing system production lines, and to simulate the production line model according to the user's interactive data and display the simulation control effect. It is also used to store and update different training projects.

[0009] The assessment unit is used to form assessment questions based on the assessment item information in the database, make operational judgments and score statistics based on the students' feedback on the assessment questions, and evaluate the students' learning proficiency based on the scoring results.

[0010] Furthermore, the simulation teaching unit includes a database module, a model calling module, a scene association module and a data fusion processing module; the database module includes a 3D component model database and a label database, the 3D component model database is used to store 3D teaching model data of intelligent manufacturing, and the label database is used to store model-related interpretation description label information; the model calling module is connected to the database module, the model calling module is used to import multiple models and label data corresponding to the teaching project, and mark each model according to a preset identifier, and send the marked model to the data fusion processing module; the scene association module is connected to the model calling module, the scene association module is used to obtain all model states of each model in several intelligent manufacturing application scenarios, and import the model data and model states corresponding to all model states related to each application scenario The data fusion processing module is used to receive all model states, model data and model-related interpretation description label information related to the model sent by the model calling module and several intelligent manufacturing application scenarios sent by the scenario association module, and group, encapsulate and store all model states, model data and model-related interpretation description label information related to the model and each application scenario according to a preset format.

[0011] Furthermore, the simulation teaching unit also includes a user interaction module, a business execution module and a visual display module; the user interaction module is used to receive user interaction instruction information and send the user interaction instruction information to the business execution module; the business execution module is connected to the user interaction module, and the business execution module is used to call the corresponding business execution logic according to the user interaction instruction information, and call the data to execute the business according to the business execution logic; the visual display module is connected to the business execution module, and the visual execution module is used to obtain the business execution results and visualize the execution results.

[0012] Furthermore, the simulation teaching unit also includes an AR conversion module, which is used to convert the model conversion and execution results into AR format, and the user can interact with AR data through an AR interactive device.

[0013] Furthermore, the training operation unit includes a training project management module, an interactive simulation module and a training mode selection module; the training project management module is used to store and update the data of multiple training projects;

[0014] The interactive simulation module includes a model storage module, an interactive data receiving module, a model driving module and an associated display module. The model storage module is used to mark the equipment three-dimensional model according to a preset identifier, and store the equipment three-dimensional model on the corresponding production line in the intelligent manufacturing training project according to the tag. The interactive data receiving module is used to obtain the user's operation instructions through the graphical user interface, analyze the user's operation instructions, and generate model driving parameters according to the preset execution control logic. The model driving module is connected to the interactive data receiving module. The model driving module is used to obtain the corresponding production line model data according to the training project number selected by the user, and drive the corresponding production line model to perform simulated production tasks according to the model driving parameters. The associated display module is connected to the interactive data receiving module and the model driving module. The associated display module is used to associate the control effect of the controlled equipment object, the interactive indication text data and the physical model of the controlled equipment object on the display interface for display; the training mode selection module is used to obtain the training control mode information selected by the user and send it to the interactive data receiving module. The training control mode includes automatic mode, semi-automatic module and fully automatic mode.

[0015] Furthermore, the training project management module includes a flexible assembly module, a coding storage module and an open management module; the flexible assembly module is used to reorganize and layout various equipment resources according to teaching needs, and to reorganize the process and logistics processes, to construct different types of manufacturing system production lines and to allocate virtual control nodes on the manufacturing system production lines. The virtual control nodes have the function of simulating the physical control station to execute the control program. The manufacturing system production line includes an intelligent production line module and a conveying module. The production line workstations of the intelligent production line module are connected through the conveying module; the coding storage module is connected to the flexible assembly module, and the coding storage module is used to encode and store the training data of the flexibly assembled manufacturing production line, and to update and manage the stored data according to the coding; the open management module is used to establish a docking service between the interactive simulation module and the selected virtual simulation project according to the practical operation request information.

[0016] Furthermore, the assessment unit includes an assessment management module, an automatic judgment module, and a statistical evaluation module; the assessment management module includes an identity management module, an operation assessment module, and an online assessment module. The identity management module is used to verify the identity of the visiting teacher, and can modify the teacher's information and password or add a teacher role according to the administrator's instructions. It is also used to add or edit test questions and answers, and view user scores. The operation assessment module is used to edit and filter the virtual control nodes set in the training project according to the assessment parameters input by the teacher, and obtain the operation assessment question group based on the training project after editing and filtering the virtual control nodes, and display the operation assessment question group on the graphical user interface. The online assessment module is used to obtain the knowledge point assessment question group based on the knowledge point assessment questions uploaded by the teacher, and display the knowledge point assessment question group on the graphical user interface for display; the automatic judgment module includes a data receiving module and a logic judgment module. The data receiving module is used to receive the user's interactive operation data. The logic judgment module is connected to the data receiving module. The logic judgment module is used to identify the specific steps corresponding to each user's operation according to the user's operation actions on each operation object, the sequence and input parameters, and judge and record whether the operation content and sequence corresponding to each step are correct. It is also used to compare the options or judgment data input by the user with the standard parameters in the question bank, and judge whether the answer is wrong according to the comparison result; the statistical evaluation module is connected to the logic judgment module. The statistical evaluation module is used to count the user's scores according to the scoring points set by the assessment and the automatic judgment results of the assessment, match the corresponding learning proficiency based on the score data, and display it in the graphical user interface.

[0017] Furthermore, the assessment unit also includes an assessment mode setting module, which is used by teachers to set the assessment time, assessment content, and preset assessment scoring points.

[0018] It can be seen from the above technical solution that the advantages of the present invention are:

[0019] In this application, the system uses a comprehensive application of simulation teaching units, practical training units and assessment units, so that students can fully master the knowledge and production processes of intelligent manufacturing equipment from the aspects of equipment process cognition, practical training and professional assessment, and make the teaching more vivid and three-dimensional, which can realize the comprehensive monitoring and management of the practical training process of intelligent manufacturing talents, and the optimal allocation of practical training resources to improve the efficiency and effect of practical training. 2. Multiple practical training projects in the practical training operation unit can be updated and managed, which is convenient for teachers to develop a series of practical training projects according to different professional directions in the field of intelligent manufacturing, and meet the practical training needs of students of different majors in this field and the scientific research needs of different directions. In practical teaching, students play the role of engineers in different links and cooperate to complete the entire training process. Support modular reorganization and build different types of manufacturing systems, so that student training is more targeted and teaching efficiency and quality are higher. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application.

[0021] Figure 1 This is a schematic diagram of the structure of this application.

[0022] Figure 2 This is a schematic diagram of the composition structure of the simulation teaching unit of this application.

[0023] Figure 3 This is a schematic diagram of the composition structure of the practical training operation unit of this application.

[0024] Figure 4 This is a schematic diagram of the composition structure of the assessment unit of this application.

[0025] Figure 5 This is a schematic diagram of the operation interface for selecting the teaching mode of this application.

[0026] Figure 6 This is a schematic diagram of the warehousing training operation interface for this application.

[0027] Figure 7 This is a schematic diagram of the assessment question interface for this application. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the implementation modes and the accompanying drawings. Here, the illustrative implementation modes and descriptions of the present application are used to explain the present application, but are not intended to limit the present application.

[0029] refer to Figures 1 to 7, this embodiment provides an AR-based intelligent manufacturing comprehensive teaching and training system, which combines the relevant professional knowledge and courses of intelligent manufacturing, establishes cognitive teaching, flexible customized open training and comprehensive assessment system, and specifically includes: user management unit, simulation teaching unit, training operation unit and assessment unit. The user management unit is used to obtain the role and teaching mode information selected by the user, and send a trigger signal to the simulation teaching unit, the training operation unit or the assessment unit according to the selected teaching mode information, and is also used to store the user's identity information and verify the user login information. The simulation teaching unit is used to mark and associate the teaching model and the state data of the teaching model in each application scenario, and execute the business according to the preset business execution logic and the received user interaction instructions, and visualize the execution results, and is also used for AR interactive teaching. The training operation unit is used to flexibly organize different types of manufacturing system production lines, and to simulate the production line model according to the user's interactive data, and to display the simulation control effect, and is also used to store and update different training projects. The assessment unit is used to form an assessment question group according to the assessment project information in the database, perform operation judgment and score statistics according to the trainee's feedback information on the assessment question group, and evaluate the trainee's learning proficiency according to the scoring results.

[0030] In this embodiment, after entering the system, Figure 5 As shown in the figure, the user selects the role and teaching mode information, for example, if the simulation teaching unit is selected, the construction manual model can be dragged to the character model to play the corresponding teaching scene animation. Figure 6 As shown, the simulation teaching unit allows students to accurately understand the machine tool equipment in the workshop.

[0031] Specifically, the simulation teaching unit includes a database module, a model calling module, a scene association module and a data fusion processing module; the database module includes a 3D component model database and a label database, the 3D component model database is used to store the 3D teaching model data of intelligent manufacturing, and the label database is used to store the interpretation description label information related to the model; the model calling module is connected to the database module, the model calling module is used to import multiple models and label data corresponding to the teaching project, and mark each model according to the preset identification, and send the marked model to the data fusion processing module; the scene association module is connected to the model calling module, the scene association module is used to obtain all model states of each model in several intelligent manufacturing application scenarios, and import the model data and model corresponding to all model states related to each application scenario The data fusion processing module is used to receive all model states, model data and model-related interpretation description label information related to the model sent by the model calling module and several intelligent manufacturing application scenarios sent by the scenario association module, and group, encapsulate and store all model states, model data and model-related interpretation description label information related to the model and each application scenario according to a preset format.

[0032] In this embodiment, the real-time design software is used to utilize its functions to establish a complete 3D component model library. By dragging and dropping models, the production line system can be quickly and easily built, which can realistically restore the appearance and function of a real processing workshop. The real-time design software supports computer operating systems such as Windows, macOS, and Linux, and provides automatic layout tools and prototyping functions to help users efficiently arrange design elements and create interactive prototypes. The model state of this embodiment includes the motion form, occlusion, and collision state of the hardware model. The model data includes corresponding control parameters, electrical parameters, model geometric features, and attributes. User interaction can be performed through a graphical user interface (GUI), and the execution results can be displayed, including displaying charts in the GUI, simulating the effects of production line operation, etc., or providing corresponding information through text output in the graphical user interface. At the same time, the application uses the feedback mechanism of the graphical user interface to the user's operation to ensure that the user can understand the results of his operation in a timely manner.

[0033] The simulation teaching unit integrates user interaction, business execution, visualization and AR (augmented reality) conversion functions, which can help students better understand and master the knowledge they have learned. The simulation teaching unit also includes a user interaction module, a business execution module and a visualization display module; the user interaction module is used to receive user interaction instruction information and send the user interaction instruction information to the business execution module. The user interaction module includes a user interaction interface, which is responsible for receiving the instruction information input by the user, such as clicking, dragging, inputting text, etc., and passing this information to the business execution module for processing; the business execution module is connected to the user interaction module, and the business execution module is used to call the corresponding business execution logic according to the user interaction instruction information, and call the data execution business according to the business execution logic; the visualization display module is connected to the business execution module, and the visualization execution module is used to obtain the business execution results and present the execution results to the user in a visual display. Including graphics, charts, animations and other forms of display. The simulation teaching unit also includes an AR conversion module, which is a special function of the simulation teaching unit. The AR conversion module is used to convert the model conversion and execution results into AR format, so that users can interact with AR data through AR interactive devices (such as AR glasses, mobile phones, etc.) to obtain a more immersive learning experience.

[0034] The training operation unit of the present application includes a training project management module, an interactive simulation module and a training mode selection module; the training project management module is used to store and update multiple training project data; the interactive simulation module includes a model storage module, an interactive data receiving module, a model driving module and an associated display module, the model storage module is used to mark the equipment three-dimensional model according to a preset identifier, and store the equipment three-dimensional model on the corresponding production line in the intelligent manufacturing training project according to the tag, the interactive data receiving module is used to obtain the user's operation instructions through a graphical user interface, and analyze the user's operation instructions, and generate model driving parameters according to the preset execution control logic, The model driving module is connected to the interactive data receiving module. The model driving module is used to obtain the corresponding production line model data according to the training project number selected by the user, and drive the corresponding production line model to perform simulated production tasks according to the model driving parameters. The associated display module is connected to the interactive data receiving module and the model driving module. The associated display module is used to associate the control effect of the controlled device object, the interactive indication text data and the physical model of the controlled device object on the display interface for display; the training mode selection module is used to obtain the training control mode information selected by the user and send it to the interactive data receiving module. The training control modes include automatic mode, semi-automatic module and fully automatic mode.

[0035] The interactive simulation module can restore the production process of the campus production workshop and production line, such as the stereoscopic warehouse, rack manipulator, Kuka manipulator, triangulation measuring instrument and CNC machining center. The stereoscopic warehouse includes warehousing and outbound operations. The corresponding operations for warehousing are: pallet warehousing to the preset position, stacker releasing goods, lower-level shutdown and AGV trolley shutdown. The corresponding operations for outbound are: AGV trolley startup, lower-level computer startup and pallet outbound. When performing the pallet outbound operation in the practical training, the DDJ automatic interface is displayed, the outbound layer and column are entered, the drop-down menu is clicked, unit 3 is selected, and the outbound production line model is triggered to move. After taking the pallet, it is placed at position 3, the stacker returns to the initial position, the pallet is transported from position 3 to position 2, and the AGV transports the pallet at position 2 to position 4 and stops, and the outbound is completed.

[0036] When performing pallet storage operations during practical training, Figure 6 As shown, the SSX manual interface is displayed. Click the Add / Delete Pallet button and select the row, column and layer for the pallet to be put into storage. Select unit 3 as the target position option. Click the Start button to trigger the movement of the pallet storage production model. The AGV transports the pallet from position 4 to position 2, and then the pallet is sent from position 2 to position 3. The fork picks up the pallet from position 3, and the stacker sends the pallet to the specified position on the shelf. The stacker returns to the initial position and stops, and the storage is completed.

[0037] The practical training project management module supports the equipment resource reorganization, data storage and update, and project docking services in the practical training teaching process. It can improve the flexibility and efficiency of practical training teaching and meet the teaching needs of different levels and types. The practical training project management module includes a flexible assembly module, a coding storage module, and an open management module; the flexible assembly module is used to reorganize and layout various equipment resources according to teaching needs, and reorganize the process and logistics process, build different types of manufacturing system production lines and allocate virtual control nodes on the manufacturing system production line. The virtual control node has the function of simulating the execution of the control program by the physical control station. The manufacturing system production line includes an intelligent production line module and a conveying module. The production line workstations of the intelligent production line module are connected through the conveying module; the coding storage module is connected to the flexible assembly module. The coding storage module is used to encode and store the training data of the flexible assembly manufacturing production line, and update and manage the stored data according to the coding. Through coding storage, the training data can be easily retrieved and queried, providing a basis for teaching evaluation and improvement; the open management module is used to establish a docking service between the interactive simulation module and the selected virtual simulation project according to the practical operation request information.

[0038] The assessment unit includes an assessment management module, an automatic judgment module, and a statistical evaluation module; the assessment management module includes an identity management module, an operation assessment module, and an online assessment module. The identity management module is used to verify the identity of the visiting teacher, and can modify the teacher's information and password or add a teacher role according to the administrator's instructions. It is also used to add or edit test questions and answers, and view user scores. The operation assessment module is used to edit and filter the virtual control nodes set in the training project according to the assessment parameters entered by the teacher, and obtain the operation assessment question group based on the training project after editing and filtering the virtual control nodes, and display the operation assessment question group on the graphical user interface. The online assessment module is used to obtain the knowledge point assessment question group based on the knowledge point assessment questions uploaded by the teacher, and display the knowledge point assessment question group on the graphical user interface. The automatic judgment module includes a data receiving module and a logic judgment module. The data receiving module is used to receive the user's interactive operation data. The logic judgment module is connected to the data receiving module. The logic judgment module is used to identify the specific steps corresponding to each user's operation according to the user's operation actions, sequence and input parameters of each operation object, judge and record whether the operation content and sequence corresponding to each step are correct, and compare the options or judgment data input by the user with the standard parameters in the question bank, and judge whether the answer is wrong according to the comparison result; the statistical evaluation module is connected to the logic judgment module. The statistical evaluation module is used to count the user's score according to the score points set by the assessment and the automatic judgment results of the assessment, match the corresponding learning proficiency based on the score data, and display it on the graphical user interface. Figure 7 The assessment unit also includes an assessment mode setting module, which is used by teachers to set the assessment time, assessment content, and preset the assessment score points.

[0039] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the embodiments of the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. An AR-based intelligent manufacturing comprehensive teaching and training system, characterized in that: include: User management unit, simulation teaching unit, practical training unit and assessment unit; The user management unit is used to obtain the role and teaching mode information selected by the user, and send a trigger signal to the simulation teaching unit, the practical training operation unit or the assessment unit according to the selected teaching mode information, and is also used to store the user's identity information and verify the user's login information; The simulation teaching unit is used to mark and associate the teaching model and the state data of the teaching model in each application scenario, and execute the business according to the preset business execution logic and the received user interaction instructions, and visualize the execution results, and is also used for AR interactive teaching; The training operation unit is used to flexibly build different types of manufacturing system production lines, and to simulate the production line model according to the user's interactive data, and to display the simulation control effect, and is also used to store and update different training projects. The assessment unit is used to form an assessment question set according to the assessment item information in the database, perform operation judgment and score statistics according to the feedback information of the students on the assessment question set, and evaluate the learning proficiency of the students according to the scoring results; The simulation teaching unit includes a database module, a model calling module, a scene association module and a data fusion processing module; the database module includes a 3D component model database and a label database, the 3D component model database is used to store 3D teaching model data of intelligent manufacturing, and the label database is used to store model-related interpretation description label information; the model calling module is connected to the database module, and the model calling module is used to import multiple models and label data corresponding to the teaching project, and mark each model according to a preset identifier, and send the marked model to the data fusion processing module; The scenario association module is connected to the model calling module, and the scenario association module is used to obtain all model states of the models in several intelligent manufacturing application scenarios, and import the model data and model-related interpretation description label information corresponding to all model states related to each application scenario, and associate the model state, the model data and the model-related interpretation description label information, mark all model states, model data and model-related interpretation description label information related to the application scenario according to a preset identifier, and send all model states, model data and model-related interpretation description label information related to several intelligent manufacturing application scenarios after marking to the data fusion processing module; the data fusion processing module is used to receive the model sent by the model calling module and all model states, model data and model-related interpretation description label information related to several intelligent manufacturing application scenarios sent by the scenario association module, and group, encapsulate and store the model and all model states, model data and model-related interpretation description label information related to each application scenario according to a preset format; The training operation unit includes a training project management module, an interactive simulation module and a training mode selection module; the training project management module is used to store and update multiple training project data; The interactive simulation module includes a model storage module, an interactive data receiving module, a model driving module and an associated display module. The model storage module is used to mark the equipment three-dimensional model according to a preset identifier, and store the equipment three-dimensional model on the corresponding production line in the intelligent manufacturing training project according to the tag. The interactive data receiving module is used to obtain the user's operation instructions through a graphical user interface, analyze the user's operation instructions, and generate model driving parameters according to a preset execution control logic. The model driving module is connected to the interactive data receiving module. The model driving module is used to obtain the corresponding production line model data according to the training project number selected by the user, and drive the corresponding production line model to perform simulated production tasks according to the model driving parameters. The associated display module is connected to the interactive data receiving module and the model driving module. The associated display module is used to associate the control effect of the controlled equipment object, the interactive indication text data and the physical model of the controlled equipment object on the display interface for display; the training mode selection module is used to obtain the training control mode information selected by the user and send it to the interactive data receiving module. The training control mode includes an automatic mode, a semi-automatic module and a fully automatic mode.

2. The AR-based intelligent manufacturing comprehensive teaching and training system according to claim 1 is characterized in that: The simulation teaching unit also includes a user interaction module, a business execution module and a visual display module; the user interaction module is used to receive user interaction instruction information and send the user interaction instruction information to the business execution module; the business execution module is connected to the user interaction module, and the business execution module is used to call the corresponding business execution logic according to the user interaction instruction information, and call the data execution business according to the business execution logic; the visual display module is connected to the business execution module, and the visual execution module is used to obtain the business execution results and visualize the execution results.

3. The AR-based intelligent manufacturing comprehensive teaching and training system according to claim 1 is characterized in that: The simulation teaching unit also includes an AR conversion module, which is used to convert the model conversion and execution results into an AR format, and the user can perform AR data interaction through an AR interactive device.

4. The AR-based intelligent manufacturing comprehensive teaching and training system according to claim 1 is characterized in that: The training project management module includes a flexible assembly module, a coding storage module and an open management module; the flexible assembly module is used to reorganize and layout various equipment resources according to teaching needs, and to reorganize the process and logistics processes, to construct different types of manufacturing system production lines and to allocate virtual control nodes on the manufacturing system production lines, and the virtual control nodes have the function of simulating the execution of the control program by the physical control station, and the manufacturing system production line includes an intelligent production line module and a conveying module, and each production line workstation of the intelligent production line module is connected through the conveying module; the coding storage module is connected to the flexible assembly module, and the coding storage module is used to encode and store the training data of the flexibly assembled manufacturing production line, and to update and manage the stored data according to the coding; The open management module is used to establish a docking service between the interactive simulation module and the selected virtual simulation project according to the actual operation request information.

5. The AR-based intelligent manufacturing comprehensive teaching and training system according to claim 1 is characterized in that: The assessment unit includes an assessment management module, an automatic judgment module and a statistical evaluation module; the assessment management module includes an identity management module, an operation assessment module and an online assessment module. The identity management module is used to verify the identity of the visiting teacher, and can modify the teacher's information and password or add a teacher role according to the administrator's instructions. It is also used to add or edit test questions and answers, and view user scores. The operation assessment module is used to edit and filter the virtual control nodes set in the training project according to the assessment parameters input by the teacher, and obtain the operation assessment question group based on the training project after editing and filtering the virtual control nodes, and display the operation assessment question group on the graphical user interface. The online assessment module is used to obtain the knowledge point assessment question group according to the knowledge point assessment questions uploaded by the teacher, and display the knowledge point assessment question group on the graphical user interface; The automatic judgment module includes a data receiving module and a logic judgment module. The data receiving module is used to receive the user's interactive operation data. The logic judgment module is connected to the data receiving module. The logic judgment module is used to identify the specific steps corresponding to each user's operation according to the user's operation actions, sequence and input parameters on each operation object, judge and record whether the operation content and sequence corresponding to each step are incorrect, and compare the options or judgment data input by the user with the standard parameters in the question bank, and judge whether the answer is incorrect according to the comparison result; the statistical evaluation module is connected to the logic judgment module, and the statistical evaluation module is used to count the user's score according to the scoring points set by the assessment and the automatic judgment results of the assessment, match the corresponding learning proficiency based on the score data, and display it on the graphical user interface.

6. The AR-based intelligent manufacturing comprehensive teaching and training system according to claim 5 is characterized in that: The assessment unit also includes an assessment mode setting module, which is used by teachers to set assessment time, assessment content, and preset assessment scoring points.

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