Design method of AI-guided hydraulic system design virtual experiment platform

Abstract

The invention discloses a design method of a virtual experiment platform for designing a hydraulic system based on AI guidance. The design method comprises the following steps: (1) designing an overall framework of the virtual experiment platform; (2) construction of an AI learning guiding database; (3) designing an experiment preparation module; (4) designing a load analysis module; (5) designing a hydraulic cylinder parameter calculation module; (6) designing a scheme design module; (7) designing a hydraulic element selection module; and (8) designing a simulation operation and system building module. According to the method, each step in the hydraulic system design steps can be completed according to the steps, and finally, the learning process and data of students are recorded by AI in combination with the whole experiment process, and a teaching quality report is generated to give experiment results; aI guiding learning automatically judges the correctness in the design calculation process, the comprehensiveness is high, the depth participation degree is high, and the system design process is complete.

Description

Technical Field

[0001] This invention relates to AI-guided learning and virtual simulation experiments for hydraulic system design. More specifically, it is a design method for an AI-guided virtual experimental platform for hydraulic system design. In this virtual experimental platform, AI-guided learning is used to complete the practical teaching component of hydraulic transmission course design, thereby cultivating students' ability to solve complex engineering problems. Background Technology

[0002] With the deep integration of hydraulic transmission technology with electronic, control, and computer technologies, modern industry's demand for mechatronics professionals has shifted from single skills to comprehensive abilities to "solve complex engineering problems." However, traditional hydraulic experimental teaching models are hampered by bottlenecks such as outdated equipment, high safety risks, and insufficient comprehensive training, making it difficult to adapt to the needs of industrial intelligent transformation.

[0003] The prior art CN103995478B discloses a modular hydraulic robotic arm experimental platform based on real-world virtual interaction, which can provide a software and hardware testing platform for the technical research of multi-degree-of-freedom hydraulic robotic arms.

[0004] The existing technology CN105298991B provides a virtual loading and control experimental platform for engineering machinery operating conditions and its experimental method to meet the needs of researchers for research on variable speed control technology of engineering machinery.

[0005] Existing technology CN112213958B provides an electro-hydraulic control integrated simulation test platform. By running test software on a host computer, the output simulation model data is imported into a data acquisition system. This provides data such as loading force for the hydraulic test system to simulate various working conditions of different tested components, thereby testing component performance. The hydraulic test system only includes basic circuits such as open pump test circuits, closed pump test circuits, valve test circuits, motor test circuits, and multi-way valve test circuits.

[0006] The existing technology CN109872595B describes a remote hydraulic experimental virtual simulation teaching system that combines virtual and real technologies. Students remotely access AutomationStudio software on the experimental platform to simulate hydraulic circuits, and can modify and optimize the hydraulic circuits according to their own ideas. Finally, they connect to the hydraulic experimental platform for actual operation. During the actual operation, a laboratory technician needs to be present to assist the student who is remotely accessing the experimental platform.

[0007] Extensive research into existing technologies has revealed that most existing technologies develop virtual experimental platforms or virtual-real combined experimental platforms for a specific experimental project or basic circuit.

[0008] The current experimental teaching of hydraulic courses faces three major contradictions: First, experimental content is limited to component disassembly and observation, and basic circuit construction, while there are few experimental projects that focus on cultivating higher-level abilities such as comprehensive experiments and engineering design. Second, due to limitations in the scale and safety of physical equipment, students cannot participate deeply in the entire process of dynamic assembly and debugging experiments. Third, traditional experimental evaluation relies on results-oriented approaches and lacks dynamic tracking of engineering design thinking and innovation capabilities. Taking the practical teaching link of hydraulic transmission course design as an example, the design process requires working condition analysis, hydraulic system design, and calculation of key hydraulic system parameters to select hydraulic components. Currently, this part of the learning is mainly achieved through theoretical lectures. Even when targeted assignments for hydraulic system design are given, some students' learning enthusiasm is not mobilized, and plagiarism is inevitable. Moreover, students cannot promptly identify and solve problems that arise during the design process of their hydraulic systems. Students themselves cannot visually observe the flow of oil in the designed hydraulic circuits, let alone determine their correctness, which seriously affects the smooth progress of practical teaching in course design. For this type of comprehensive practical learning component, existing physical experimental equipment, both domestically and internationally, cannot meet the requirements. Summary of the Invention

[0009] The technical problem this invention aims to solve is to provide a design method for an AI-guided virtual experimental platform for hydraulic system design in hydraulic transmission course design. Under AI guidance, students can sequentially complete each step of the complete hydraulic system design process on the virtual experimental platform, including load characteristic calculation and analysis, actuator parameter calculation and model selection, hydraulic circuit schematic design, hydraulic component model selection, simulation analysis to verify the correctness of the design scheme, and hydraulic system construction. Finally, AI records the student's learning process and data throughout the experiment, generating a teaching quality report and providing the experimental results. The AI-guided approach features automatic judgment of the correctness of the design calculation process, strong comprehensiveness, high depth of participation, and a complete system design process.

[0010] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: A design method for an AI-guided virtual experimental platform for hydraulic system design includes the following steps: (1) Design of the overall framework of the virtual experimental platform; (2) Construction of AI-guided learning database; (3) Design of the experimental preparation module; (4) Design of the load analysis module; (5) Design of the hydraulic cylinder parameter calculation module; (6) Design of the scheme design module; (7) Design of the hydraulic component selection module; (8) Design of simulation operation and system construction module.

[0011] The basic circuit in this invention refers to a combination of hydraulic components that can achieve a certain specified function, and is an abbreviation for hydraulic basic circuit.

[0012] A circuit diagram is drawn according to national standards using standard graphic symbols and connecting lines. It clearly represents the connection relationships and control principles of various components in a basic hydraulic circuit. It shows the various hydraulic components and their connections required to achieve a single, basic function.

[0013] A hydraulic system schematic diagram describes the complete hydraulic transmission and control system of an entire machine or equipment. It includes all the hydraulic components and circuits required to achieve all the actions of the equipment. It demonstrates a complete system capable of performing complex functional tasks, composed of multiple basic circuit schematic diagrams.

[0014] Compared with the prior art, the present invention using the above technical solution has the following prominent features: (1) In order to realize the virtual experimental teaching guided by AI, the following databases need to be constructed: a database of correct values ​​of each parameter in the experimental process corresponding to different design task data; a database of complete hydraulic system schematic diagrams composed of different basic circuits; a database of electromagnet action sequence tables corresponding to the hydraulic system schematic diagrams; a database of hydraulic component model details corresponding to the hydraulic system schematic diagrams; and a database of three-dimensional model system construction and simulation operation observation corresponding to the hydraulic system schematic diagrams. (2) A comprehensive design experiment for solving complex engineering problems was completed; (3) An optimal scheme for AI-guided virtual experiment technology was given; (4) The final experimental results are not fixed, because the initial experimental design data can be randomly selected, and the parameter calculations of students during the experiment are also different; (5) The invention breaks through the singleness of hydraulic system schematic diagram drawing in existing materials. For different basic circuits selected in the experiment, 16 different hydraulic system schematic diagrams and simulation diagrams can be drawn, and there are also 16 different model building methods; (6) AI-guided learning automatically calculates the number of errors in the experiment and automatically generates a quality report based on the experimental results.

[0015] Further preferred technical solutions are as follows: The design of the overall framework of the virtual experimental platform in step (1) involves developing a virtual simulation experimental platform specifically for the hydraulic transmission course design to design the hydraulic system of the power slide of the combined machine tool. The overall framework of this hydraulic system virtual simulation experimental platform consists of six first-level menus, corresponding to the six major components of the experiment: (1) Experiment preparation module, (2) Load analysis module, (3) Hydraulic cylinder parameter calculation module, (4) Scheme design module, (5) Hydraulic component selection module, and (6) Simulation operation and system construction module. According to the experimental process, each first-level menu includes multiple second-level menus, and each second-level menu includes multiple third-level menus, which are interconnected. Only after completing the previous experimental step can the next experimental step be unlocked.

[0016] The construction of the AI-guided learning database in step (2) includes the following: (1) a database of correct values ​​of each parameter in the experimental process corresponding to different design task data; (2) a database of complete hydraulic system schematic diagrams composed of different basic circuits; a database of electromagnet action sequence tables corresponding to the hydraulic system schematic diagrams; (3) a database of hydraulic component model details corresponding to the hydraulic system schematic diagrams; and (4) a database of three-dimensional model system construction and simulation operation observation corresponding to the hydraulic system schematic diagrams.

[0017] The design of the experimental preparation module in step (3) includes four parts: experimental background, experimental purpose, experimental requirements, and experimental tasks. The experimental background uses a short video—the rapid development and application of hydraulic technology—to inspire every university student's sense of responsibility and encourage them to design their own hydraulic systems to solve engineering problems, thus fully mobilizing their learning enthusiasm. The experimental purpose and experimental requirements are presented in text and animation, respectively. In the experimental tasks of this invention, the maximum cutting force, the weight of the moving parts, and the minimum feed rate are all selected by the students themselves within a certain range through the AI ​​virtual experiment human-computer interaction interface. This ensures that the students' design task data are different, preventing data plagiarism during the virtual experiment.

[0018] The design of the load analysis module in step (4) includes resistance calculation, load analysis during the fast traverse phase, load analysis during the working phase, load analysis during the fast retraction phase, and load speed. Figure 5Partial Content. This module's experiments primarily involve calculations. During the calculation process, the results of each parameter are sequentially determined by clicking the correct option on the AI ​​virtual experiment interface. The module's innovations are mainly reflected in the following aspects: First, before calculation, students watch an animation of "machine tool power slide reciprocating to drill a hole in a workpiece," helping them better understand the design purpose. Second, since each student's calculation data is different, the AI ​​virtual experiment platform automatically judges the correctness of the entered results based on different design task data. If incorrect, the AI ​​guidance on the virtual experiment platform will provide prompts, guiding students to use the correct calculation formula. If the second calculation result is still incorrect, the AI ​​guidance will automatically set the calculation result for this step to the correct value, guiding students to successfully complete the remaining content. Third, the AI ​​virtual experiment platform can automatically record the number of errors during the calculation of each parameter, providing a basis for determining each student's final experimental score.

[0019] The design of the hydraulic cylinder parameter calculation module in step (5) includes three parts: determining the hydraulic cylinder working pressure, determining the hydraulic cylinder structural dimensions, and calculating the hydraulic cylinder parameters under various working conditions. Among them, "determining the hydraulic cylinder structural dimensions" includes three parts: calculating the hydraulic cylinder dimensions, rounding the dimensions, and verifying the dimensions. "Calculating the hydraulic cylinder parameters under various working conditions" includes parameter calculations for three working conditions: rapid advance, working advance, and rapid retraction, as well as a table of hydraulic cylinder parameters under various working conditions. The innovations of this module are mainly reflected in the following aspects: First, when calculating parameters such as pressure, flow rate, and power of the hydraulic cylinder under various working conditions, the AI ​​virtual experiment platform continuously demonstrates and plays animated videos of the hydraulic cylinder's oil flow diagram under the corresponding working conditions, guiding students to perform calculations based on a correct understanding of the actual operating state of the hydraulic cylinder; Second, other known parameters used in the calculation process can be easily retrieved through the AI ​​virtual experiment human-computer interaction interface; Third, for each parameter, if the provided calculation result is incorrect, the AI ​​guidance of the virtual experiment platform will provide prompts to guide students to use the correct calculation formula. If the second calculation result is still incorrect, the AI ​​guidance will automatically set the calculation result of this step to the correct value to guide students to successfully and correctly complete the remaining content; Fourth, the AI ​​virtual experiment platform of this invention can automatically record the number of errors in the calculation process of each parameter, providing a basis for determining the final experimental score of each student.

[0020] The design of the scheme design module in step (6) includes five parts: oil source selection, speed regulation circuit selection, rapid motion and speed switching circuit selection, reversing circuit selection, and hydraulic system schematic diagram drawing. In order to effectively complete the design process of the hydraulic transmission course design within a limited time and experience the process of solving complex engineering problems, the scheme design module provides students with the right to choose the basic circuit independently. As a result, 16 different hydraulic system schematic diagrams that can realize the design function can be drawn, instead of being limited to only one circuit schematic diagram in existing reference books.

[0021] The innovation of this module is mainly reflected in the fact that different basic circuits are selected through the AI ​​virtual experiment platform during the design process, resulting in different hydraulic system schematic diagrams. Moreover, after the hydraulic system schematic diagram is completed, the working process of the hydraulic circuit and the hydraulic oil flow path under different working conditions can be viewed intuitively.

[0022] The step (7) hydraulic component selection module includes three parts: hydraulic pump specification determination, other hydraulic component model determination, and component recognition. In the "hydraulic pump specification determination" section, since the oil source in the scheme design has two options: dual-pump oil supply and pressure-limiting variable pump, the innovation of this invention in this module is mainly reflected in the fact that the AI ​​guidance of the virtual experiment platform can provide different experimental content in this module according to the different oil source options in the previous module. In addition, when determining the hydraulic component model, the AI ​​guidance automatically provides a hydraulic component list corresponding to the different hydraulic system schematic diagrams drawn by each student based on their previous different circuit selections. The list automatically provides the maximum flow rate and rated pressure of each hydraulic component. Students only need to select the appropriate hydraulic component model from the drop-down list at the corresponding position of each hydraulic component based on the given maximum flow rate. For students who do not know how to select the hydraulic component model, they can click on the "Guidance Prompt" on the human-computer interaction interface of the virtual experiment platform to be guided by the AI ​​guidance to learn and complete the model selection.

[0023] The aforementioned step (8), simulation operation and system construction module, includes two parts: hydraulic schematic simulation and hydraulic system construction and debugging. In the hydraulic schematic simulation stage, students can carefully observe the working process of the hydraulic system schematic of the designed combined machine tool power slide on the AI ​​virtual experimental platform. They can choose different working conditions to observe the hydraulic oil flow path or choose to observe the overall operation. After observation, the system construction and debugging stage begins. The innovation of this stage is that, in order to experience the complete process of course design within a limited time, students only need to drag the hydraulic components in the component library into the corresponding positions of the virtual equipment on the virtual experimental platform. In order to avoid incorrect pipeline connection and failure to correctly complete the construction of the hydraulic system, after dragging in the components, students only need to observe the AI ​​guide to automatically complete the pipeline connection. Finally, the AI ​​guide will give questions, and students will complete the debugging task on the virtual experimental platform. Attached Figure Description

[0024] Figure 1 The overall framework structure of the AI-guided virtual experimental platform for hydraulic system design.

[0025] Figure 2 Human-computer interaction interface of virtual experimental platform.

[0026] Figure 3 Import the experimental background video.

[0027] Figure 4 Select and define the design task.

[0028] Figure 5 Animation of drilling using the reciprocating motion of a machine tool's powered slide.

[0029] Figure 6 Determining the load and thrust during rapid propulsion.

[0030] Figure 7 Determining the selection of inlet and outlet oil pressures for the hydraulic cylinder during rapid advance operation.

[0031] Figure 8 The selection of the basic circuit is determined.

[0032] Figure 9 Hydraulic component model selection.

[0033] Figure 10 Help with human-computer interaction interface operation.

[0034] Figure 11 Understanding the structure of hydraulic components.

[0035] Figure 12 Hydraulic schematic simulation.

[0036] Figure 13 Hydraulic system setup.

[0037] Figure 14 Hydraulic system debugging.

[0038] Figure 15 Experimental report on the design of a virtual simulation hydraulic system. Detailed Implementation

[0039] This invention provides an AI-guided virtual experimental platform for hydraulic system design, using a horizontal multi-axis drilling combination machine tool as a preferred embodiment. A hydraulic system capable of driving its power slide is designed for this machine tool. Specific design requirements are as follows: the working cycle of the machine tool's power slide is rapid advance-working feed-rapid return-stop. The maximum cutting force is... F t = [12000-18000-24000-30000] N; the weight of the moving part is G = [5000-10000-15000-20000]N; Fast Process L 1 = 100mm, process L 2=50mm; rapid forward and backward speed v max All are 0.1 m / s; minimum working speed v min = [0.02-0.03-0.04-0.05] m / min; coefficient of friction f =0.1; The guide rail is a horizontally placed flat guide rail that can stop at any position. The hydraulic system is designed and calculated. This invention describes an AI-guided virtual experimental platform for hydraulic system design. The design process includes the following steps: 1. Design of the overall framework structure of the virtual experimental platform The overall framework structure of the AI-guided virtual experimental platform for hydraulic system design is as follows: Figure 1 As shown, it consists of six modules: (1) Experiment Preparation Module, (2) Load Analysis Module, (3) Hydraulic Cylinder Parameter Calculation Module, (4) Scheme Design Module, (5) Hydraulic Component Selection Module, and (6) Simulation Operation and System Construction Module. The above-mentioned module (1), Experiment Preparation Module, includes four parts: experimental background, experimental purpose, experimental requirements, and experimental tasks. The above-mentioned module (2), Load Analysis Module, includes resistance calculation, fast-forward stage load analysis, working-forward stage load analysis, fast-reverse stage load analysis, and load speed. Figure 5Partial content. The above-mentioned module (3) Hydraulic cylinder parameter calculation module includes three parts: hydraulic cylinder working pressure determination, hydraulic cylinder structural dimensions determination, and hydraulic cylinder working condition parameter calculation. Among them, "hydraulic cylinder structural dimensions determination" includes three parts: hydraulic cylinder dimensions calculation, rounding dimensions, and verification dimensions. "Hydraulic cylinder working condition parameter calculation" includes parameter calculation under three working conditions: fast advance, working advance, and fast retreat, and hydraulic cylinder working condition parameter table. The above-mentioned module (4) Scheme design module includes five parts: oil source form selection, speed regulation circuit selection, fast motion and speed switching circuit selection, reversing circuit selection, and hydraulic system schematic diagram drawing. The above-mentioned module (5) Hydraulic component selection module includes three parts: hydraulic pump specification determination, other hydraulic component model determination, and component recognition. The above-mentioned module (6) Simulation operation and system construction module includes two parts: hydraulic schematic diagram simulation and hydraulic system construction and debugging.

[0040] The human-computer interaction interface of the virtual experimental platform is as follows: Figure 2 As shown, the upper left corner displays the experimental results in real time. The left side of the interface shows the completed or ununlocked first-level menus, namely the six modules. The right side shows the second-level and third-level menus corresponding to each first-level menu. The middle area is for video playback, text display, or human-computer interaction. The lower right corner is for guidance prompts or hydraulic schematic diagrams.

[0041] 2. Design of the Experiment Preparation Module The experiment preparation module includes four parts: experiment background, experiment objective, experiment requirements, and experiment tasks. The experiment background is as follows: Figure 3 As shown, a short video on the rapid development and application of hydraulic technology, presented as part of ideological and political education, aims to inspire every university student's sense of responsibility and motivate them to design their own hydraulic systems to solve engineering problems, thus fully mobilizing their learning enthusiasm. The experimental objectives and requirements are presented in the human-computer interaction area through text and animation, respectively. In this invention's experimental task, the maximum cutting force, the weight of moving parts, and the minimum feed rate are all selected by students within a certain range through the AI ​​virtual experiment human-computer interaction interface, such as... Figure 4 As shown, the students' design task data are different, ensuring that data plagiarism is eliminated during the virtual experiment process.

[0042] 3. Design of the load analysis module The load analysis module includes resistance calculation, load analysis during the fast traverse phase, load analysis during the working phase, load analysis during the fast retraction phase, and load speed. Figure 5 Partial content. For example... Figure 5 As shown, before performing load analysis calculations, students should watch an animation of "the reciprocating motion of a machine tool's power slide drilling a hole in a workpiece" to better understand the concept of load analysis. The experiments in this module primarily involve calculations. During the calculation process, as... Figure 6The calculation results of each parameter are sequentially determined by clicking the correct option on the AI ​​virtual experiment interface. The AI ​​virtual experiment platform of this invention automatically judges the correctness of the entered results based on different design task data. If incorrect, the AI ​​guidance on the virtual experiment platform will provide prompts to guide students to use the correct calculation formula. If the second calculation result is still incorrect, the AI ​​guidance will automatically set the calculation result for this step to the correct value to guide students to successfully complete the remaining content. The AI ​​virtual experiment platform of this invention can automatically record the number of errors in the calculation process of each parameter, providing a basis for determining the final experimental score for each student.

[0043] 4. Design of the hydraulic cylinder parameter calculation module The hydraulic cylinder parameter calculation module includes three parts: determining the hydraulic cylinder working pressure, determining the hydraulic cylinder structural dimensions, and calculating the hydraulic cylinder parameters for various operating conditions. The "determining the hydraulic cylinder structural dimensions" part further includes calculating the hydraulic cylinder dimensions, rounding the dimensions, and verifying the dimensions. The "calculating the hydraulic cylinder parameters for various operating conditions" part includes parameter calculations for rapid advance, working advance, and rapid retraction, and provides a table of hydraulic cylinder parameters for each operating condition. Figure 7 As shown, when calculating parameters such as pressure, flow rate, and power of the hydraulic cylinder under various operating conditions, the AI ​​virtual experiment platform continuously plays animated videos of the hydraulic cylinder's oil flow diagram under the corresponding operating conditions, guiding students to perform calculations based on a correct understanding of the actual operating state of the hydraulic cylinder. Figure 7 As shown, all other known parameters used in the calculation process can be retrieved using the up and down arrows in the lower right area of ​​the human-computer interaction interface. If an error occurs during the calculation, this module also has the functions of the previous module; the AI-guided learning can provide prompts until the correct result is obtained and record the number of errors in real time.

[0044] 5. Creation of the scheme design module The scheme design module includes five parts: selection of oil source type, selection of speed control circuit, selection of rapid motion and speed switching circuit, selection of reversing circuit, and drawing of hydraulic system schematic diagram. To effectively complete the hydraulic transmission course design within a short time and experience the process of solving complex engineering problems, the scheme design module includes, for example... Figure 8 The diagram provides basic circuit options, allowing for the creation of 16 different hydraulic system schematics that achieve the same design functionality, rather than being limited to the single circuit schematic found in existing reference books. Furthermore, once the hydraulic system schematic is completed, the working process of the hydraulic circuit and the flow path of the hydraulic oil under different operating conditions can be clearly and thoroughly observed.

[0045] 6. Design of the hydraulic component selection module The hydraulic component selection module includes three parts: determining the hydraulic pump specifications, determining the models of other hydraulic components, and component recognition. In the "Determining Hydraulic Pump Specifications" section, since the design scheme offers two options for the oil source: dual-pump supply and pressure-limiting variable pump, the AI-guided learning platform in the virtual experiment platform can provide different experimental content in this module based on the different oil source options chosen in the previous module. Furthermore, when determining the hydraulic component models, the AI-guided learning platform automatically generates a detailed list of hydraulic components corresponding to the different hydraulic system schematics drawn by each student based on their previous choices of different circuits. Figure 9 As shown, the detailed list automatically provides the maximum flow rate and rated pressure for each hydraulic component. Students only need to select the appropriate hydraulic component model from the drop-down list at the corresponding location of each component based on the given maximum flow rate. For students unsure how to select a hydraulic component model, they can click on the "Guidance Prompt" on the virtual experimental platform's human-computer interaction interface for AI-guided learning and model selection. The component recognition section includes the hydraulic components used in the next stage of system construction, reviewing the function and structural composition of each component. It allows for arbitrary scaling, generating exploded views, and in-depth 3D multi-angle observation of its structural composition, such as... Figure 10 , Figure 11 As shown, this prepares for system modeling.

[0046] 7. Design of Simulation Execution and System Setup Module The simulation operation and system construction module includes two parts: hydraulic schematic simulation and hydraulic system construction and debugging. For example... Figure 12 As shown, in the hydraulic schematic simulation stage, students can carefully observe the working process of the hydraulic system schematic of the designed combined machine tool power slide on the AI ​​virtual experimental platform. They can select different working conditions to observe the hydraulic oil flow path or choose to observe the overall operation. After observation, they proceed to the system building and debugging stage, such as... Figure 13 As shown, to experience the complete course design process within a limited time, students only need to drag and drop hydraulic components from the component library into the corresponding positions of the virtual equipment on the virtual experimental platform. To avoid incorrect pipe connections that could prevent the proper construction of the hydraulic system, after dragging and dropping, students simply observe the AI ​​guide automatically completing the pipe connections. Finally, the AI ​​guide presents problems, and students complete the debugging tasks on the virtual experimental platform, such as... Figure 14 As shown. Finally, an experimental report containing all design content and automatically generated by AI is produced, such as... Figure 15 As shown.

[0047] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of the present invention. All equivalent structural changes made based on the description and drawings of the present invention are included within the scope of the present invention.

Claims

1. A design method for an AI-guided virtual experimental platform for hydraulic system design, characterized in that, Includes the following steps: (1) Design of the overall framework of the virtual experimental platform; (2) Construction of AI-guided learning database; (3) Design of the experimental preparation module; (4) Design of the load analysis module; (5) Design of the hydraulic cylinder parameter calculation module; (6) Design of the scheme design module; (7) Design of the hydraulic component selection module; (8) Design of simulation operation and system construction module.

2. The design method of an AI-guided virtual experimental platform for hydraulic system design according to claim 1, characterized in that: In the design of the overall framework of the virtual experimental platform in step (1), the overall framework consists of six first-level menus, which correspond to the six major components of the experiment. According to the experimental process, each first-level menu includes multiple second-level menus, and each second-level menu includes multiple third-level menus. They are linked together, and the next experimental stage can only be unlocked after the previous experimental stage is completed.

3. The design method of an AI-guided virtual experimental platform for hydraulic system design according to claim 1, characterized in that: The construction of the AI-guided learning database in step (2) includes the following: (1) a database of correct values ​​of each parameter corresponding to different design task data; (2) a database of complete hydraulic system schematic diagrams composed of different basic circuits; (3) a database of electromagnet action sequence tables corresponding to the hydraulic system schematic diagrams; (4) a database of hydraulic component model details tables corresponding to the hydraulic system schematic diagrams; and (5) a database of three-dimensional model system construction and simulation operation observation corresponding to the hydraulic system schematic diagrams.

4. The design method of an AI-guided virtual experimental platform for hydraulic system design according to claim 1, characterized in that: The design of the experimental preparation module in step (3) includes four parts: experimental background, experimental purpose, experimental requirements, and experimental tasks. The experimental background is presented in the form of a short video on the rapid development and application of hydraulic technology to fully motivate students' learning enthusiasm. The experimental purpose and experimental requirements are presented in the form of text and animation, respectively. The maximum cutting force, gravity of moving parts, and minimum feed speed in the experimental tasks are all selected by students through the AI ​​virtual experiment human-computer interaction interface within a certain range. That is, the students' design task data are different, ensuring that data plagiarism is eliminated in the virtual experiment process.

5. The design method of an AI-guided virtual experimental platform for hydraulic system design according to claim 1, characterized in that: The design of the load analysis module in step (4) includes five parts: resistance calculation, fast forward stage load analysis, working stage load analysis, fast return stage load analysis, and load speed diagram. The experimental content of this module is mainly calculation. During the calculation process, the results of each parameter calculation are determined sequentially by clicking the correct option on the AI ​​virtual experiment interface. Before the calculation of this module, students should watch the animation of "machine tool power slide reciprocating motion drilling the workpiece" to help them better understand the design purpose. Each student's calculation data is different. The AI ​​virtual experiment platform will automatically judge whether the filled result is correct according to the different design task data. If it is incorrect, the AI ​​guide of the virtual experiment platform will give a prompt to guide students to use the correct calculation formula. If the second calculation result is still incorrect, the AI ​​guide will automatically set the calculation result of this link to the correct value to guide students to complete the remaining content smoothly and correctly. Thirdly, the AI ​​virtual experiment platform of this invention can automatically record the number of errors in the calculation process of each parameter, providing a basis for the final experimental score of each student.

6. The design method of an AI-guided virtual experimental platform for hydraulic system design according to claim 1, characterized in that: The design of the hydraulic cylinder parameter calculation module in step (5) includes three parts: determining the hydraulic cylinder working pressure, determining the hydraulic cylinder structural dimensions, and calculating the hydraulic cylinder parameters under various working conditions. "Determining the hydraulic cylinder structural dimensions" further includes calculating the hydraulic cylinder dimensions, rounding the dimensions, and verifying the dimensions. "Calculating the hydraulic cylinder parameters under various working conditions" includes calculating parameters under three working conditions: rapid advance, working advance, and rapid retraction, as well as a parameter table for each working condition. When calculating the pressure, flow rate, power, and other parameters of the hydraulic cylinder under various working conditions, the AI ​​virtual experiment platform continuously demonstrates and plays animation videos of the hydraulic cylinder oil flow diagram under the corresponding working conditions, guiding students to correctly understand the hydraulic cylinder's operation. The calculations are performed under the premise of actual operation. All other known parameters used in the calculation process can be easily retrieved through the AI ​​virtual experiment human-computer interaction interface. For each parameter, if the provided calculation result is incorrect, the AI ​​guidance of the virtual experiment platform will provide prompts to guide students to use the correct calculation formula. If the second calculation result is still incorrect, the AI ​​guidance will automatically set the calculation result of this step to the correct value to guide students to complete the remaining content smoothly and correctly. The AI ​​virtual experiment platform can automatically record the number of errors in the calculation process of each parameter, providing a basis for determining the final experimental score of each student.

7. The design method of an AI-guided virtual experimental platform for hydraulic system design according to claim 1, characterized in that: The design of the scheme design module in step (6) includes providing different basic circuits, including five parts: oil source form selection, speed regulation circuit selection, rapid motion and speed switching circuit selection, reversing circuit selection, and hydraulic system schematic diagram drawing. This allows students to have the right to choose the basic circuits independently and draw 16 different hydraulic system schematic diagrams, instead of being limited to only one circuit schematic diagram in existing reference books. Furthermore, on the virtual experimental platform, the working process of the hydraulic system and the hydraulic oil flow path under different working conditions can be observed without time and space restrictions.

8. The design method of an AI-guided virtual experimental platform for hydraulic system design according to claim 1, characterized in that: The design of the hydraulic component selection module in step (7) includes three parts: hydraulic pump specification determination, other hydraulic component model determination, and component recognition. In the "hydraulic pump specification determination" section, since there are two choices for the oil source in the scheme design: dual pump oil supply and pressure-limiting variable pump, the AI ​​guidance of the virtual experiment platform provides different experimental content in this module according to the different choices of the oil source in the previous module. In addition, when determining the hydraulic component model, the AI ​​guidance automatically provides the hydraulic component list corresponding to the schematic diagram of the different hydraulic system drawn by each student based on the different circuit selections in the previous module. The list automatically provides the maximum flow rate and rated pressure of each hydraulic component. Students only need to select the appropriate hydraulic component model according to the given maximum flow rate in the drop-down list at the corresponding position of each hydraulic component. For students who do not know how to select the hydraulic component model, they can click on the "Guidance Prompt" on the human-computer interaction interface of the virtual experiment platform to be guided by the AI ​​guidance to learn and complete the model selection.

9. The design method of an AI-guided virtual experimental platform for hydraulic system design according to claim 1, characterized in that: The design of the simulation operation and system building module in step (8) includes: observing the hydraulic oil flow path by selecting different working conditions or observing the working process of the hydraulic circuit by selecting overall operation; in order to experience the complete process of course design within a limited time, the system building operation on the virtual experimental platform only requires dragging the hydraulic components in the component library into the corresponding positions of the virtual equipment one by one. In order to avoid the hydraulic system being unable to be built correctly due to incorrect pipeline connection, after dragging in, students only need to observe the AI ​​guide to automatically complete the pipeline connection. Finally, the AI ​​guide will give questions, and students will complete the debugging task on the virtual experimental platform.

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