Industrial robot professional virtual and real technology combined practical training method and practical training system

By combining virtual simulation modules with physical robot operation, the problems of high equipment costs and high operational risks in industrial robot training are solved, the training effect and students' practical ability are improved, and innovative thinking is cultivated.

CN121528078APending Publication Date: 2026-02-13GUANGDONG CHANGHONG ELECTRONICS
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Patent Information

Application Number
CN202511868697.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-11
Publication Date
2026-02-13

AI Technical Summary

Technical Problem

In existing industrial robot training, purely physical operation is costly, difficult to maintain, and poses safety risks, while purely virtual simulation teaching lacks practical experience, resulting in poor training effectiveness.

Method used

By combining virtual simulation modules and physical robot operation, a three-dimensional environment is built in the virtual simulation software, the robot's movement is controlled by a virtual teach pendant, and reports are generated through data analysis and safety monitoring to optimize training objectives.

Benefits of technology

It improved the effectiveness of practical training, cultivated students' innovative thinking and ability to solve complex engineering problems, reduced equipment costs and operational risks, and provided efficient support for practical teaching.

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Abstract

The invention provides an industrial robot professional virtual-real technology combined training method and training system, and the method comprises the steps: building a corresponding three-dimensional simulation environment in virtual simulation software according to the parameters of a physical robot operation platform; a student uses a virtual demonstrator to control the robot to move, and a training target is completed; through the practical training teaching system of the virtual simulation module and the control module, by integrating the double advantages of virtual simulation and physical robot operation, the problems of high equipment cost, large operation risk, single training content and the like in traditional practical training are effectively solved, students can carry out programming debugging and high-risk innovation experiments in a virtual environment, and the practical training teaching efficiency is improved. The optimization scheme can be verified on the physical robot through real-time data interaction; according to the method, the practical training effect and the practical ability of students are remarkably improved, the innovative thinking and the ability of solving complex engineering problems of the students are cultivated, and effective teaching practice support is provided for conveying high-quality professionals in the industrial robot industry.
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Description

Technical Field

[0001] This invention relates to the field of industrial robot teaching, and in particular to a training method and system that combines virtual and real technologies for industrial robot training. Background Technology

[0002] The practical training for industrial robots mainly adopts two methods: physical robot operation and pure virtual simulation teaching.

[0003] While hands-on robot operation training can provide students with a realistic operational experience, it suffers from high equipment costs, maintenance difficulties, limited training scenarios, and certain safety risks, resulting in training resources that cannot meet the needs of a large number of students. While hands-on virtual simulation training can reduce costs and risks, students lack practical experience and find it difficult to effectively apply the knowledge and skills acquired in the virtual environment to actual robot operation, thus significantly reducing the effectiveness of the training. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to overcome the defects of the existing technology. The present invention proposes a training method and training system that combines virtual and real technologies for industrial robots.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In the first aspect, the present invention provides a training method for industrial robots that combines virtual and real technologies, including: building a corresponding three-dimensional simulation environment in virtual simulation software based on the parameters of the physical robot operation platform; Students use virtual pendants to control the robot's movements and complete training objectives. The student's training objectives are modified based on the parameters of the training objectives achieved by the student.

[0006] Preferably, the physical robot operating platform is an ABB IRB120.

[0007] Preferably, the parameters include task completion time, program running efficiency, success rate, and error rate.

[0008] Preferably, the training method further includes analyzing various parameters, generating a visualization report, and changing the student's training objectives based on the visualization report.

[0009] Preferably, the training method further includes safety control, acquiring the number of times the emergency stop button is triggered, the number of times the safety light curtain is triggered, and the number of times speeding occurs in manual mode, and generating a safety report.

[0010] Preferably, the training method further includes a cloud platform to synchronize the training objectives completed by students, the operations performed to complete the training objectives, and the data.

[0011] Secondly, this invention provides a training system combining virtual and real technologies for industrial robots, based on the aforementioned training method combining virtual and real technologies for industrial robots. The virtual simulation module involves building a virtual simulation platform by referring to the practical training operation platform. The control module controls the virtual teach pendant via an existing mouse and keyboard. The virtual teach pendant then controls the robot's movement to achieve the training objectives. The data acquisition module acquires data on the task completion time, program execution efficiency, success rate, and error rate of the training target. The analysis module analyzes various parameters, generates visual reports, and adjusts students' training objectives based on these reports. The safety module acquires the number of times the emergency stop button is triggered, the number of times the safety light curtain is triggered, and the number of times the vehicle speeds in manual mode, and generates a safety report. The cloud module synchronizes the training objectives completed by students, as well as the operations and data performed to achieve those objectives.

[0012] Thirdly, the present invention provides an electronic device, comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the training method combining virtual and real technologies for industrial robots are implemented.

[0013] Fourthly, the present invention provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the training method combining virtual and real technologies for industrial robots.

[0014] Compared with existing technologies, the beneficial effects of this invention include: by integrating the advantages of virtual simulation and physical robot operation through a training system combining virtual simulation and control modules, it effectively solves the problems of high equipment costs, high operational risks, and limited training content in traditional training. This system not only allows students to perform programming debugging and high-risk innovative experiments in a virtual environment, but also enables them to verify and optimize solutions on physical robots through real-time data interaction. This method significantly improves students' training effectiveness and practical abilities, cultivates their innovative thinking and problem-solving skills for complex engineering issues, and provides effective teaching practice support for supplying high-quality professional talent to the industrial robot industry. Attached Figure Description

[0015] The disclosure of this invention is illustrated with reference to the accompanying drawings. It should be understood that the drawings are for illustrative purposes only and are not intended to limit the scope of protection of this invention. In the drawings, the same reference numerals are used to refer to the same parts. Wherein: Figure 1 The illustration shows a schematic diagram of a training method combining virtual and real technologies for industrial robots according to an embodiment of the present invention. Detailed Implementation

[0016] It is readily understood that, based on the technical solution of this invention, those skilled in the art can propose various interchangeable structural methods and implementations without altering the essential spirit of the invention. Therefore, the following detailed embodiments and accompanying drawings are merely illustrative examples of the technical solution of this invention and should not be considered as the entirety of the invention or as limitations or restrictions on the technical solution of this invention.

[0017] Example 1, referring to Figure 1 As one embodiment of the present invention, a training method combining virtual and real technologies for industrial robots is provided, comprising: S100: Based on the parameters of the physical robot operating platform, which is ABB IRB120, a corresponding three-dimensional simulation environment is built in the virtual simulation software. S200: Students use a virtual teach pendant to control the robot's movement and complete the training objectives; S300: Modify the student's training objectives based on the parameters of the training objectives the student has achieved.

[0018] It should be noted that while pure physical robot operation teaching can provide students with a realistic operating experience, it also has problems such as high equipment costs, difficult maintenance, limited training scenarios, and certain safety risks, resulting in training resources that cannot meet the needs of a large number of students. Pure virtual simulation teaching can reduce costs and risks, but students lack practical operating experience and find it difficult to effectively apply the knowledge and skills learned in the virtual environment to actual robot operation, thus greatly reducing the effectiveness of the training.

[0019] Therefore, addressing the aforementioned issues of high cost and maintenance difficulties of physical robot equipment, and the lack of practical experience among students due to purely virtual simulation teaching, this paper presents a training method combining virtual and real technologies for industrial robots, implemented through steps S100-S300. Relying on a training system with virtual simulation and control modules, this method effectively solves the problems of high equipment cost, high operational risks, and limited training content in traditional training by integrating the dual advantages of virtual simulation and physical robot operation. It allows students to conduct programming debugging and high-risk innovative experiments in a virtual environment, and also to verify and optimize solutions on physical robots through real-time data interaction. This method significantly improves students' training effectiveness and practical skills, cultivates their innovative thinking and ability to solve complex engineering problems, and provides effective teaching practice support for supplying high-quality professionals to the industrial robot industry.

[0020] Example 2, refer to Figure 1 As an embodiment of the present invention, based on the above embodiment, a training method combining virtual and real technologies for industrial robots is provided, including: In this embodiment of the application, step S300: scoring the student's performance based on the parameters of the training objectives completed by the student, including the following steps A1-A3: A1: Obtain data on task completion time, program efficiency, success rate, and error rate for the training target; analyze the parameters and generate a visual report. A2: Obtain the number of times the emergency stop button is triggered, the number of times the safety light curtain is triggered, and the number of times the speeding occurs in manual mode, and generate a safety report; A3: Modify students' training objectives based on visualization and safety reports.

[0021] Example 3 illustrates a training method combining virtual and real technologies for industrial robots. It should be noted that the technical solution of this training system combining virtual and real technologies for industrial robots is based on the same concept as the aforementioned training method. Details not described in detail in the training system of this example can be found in the description of the aforementioned training method.

[0022] This embodiment also provides a training system that combines virtual and real technologies in industrial robotics, based on a training method that combines virtual and real technologies in industrial robotics. The virtual simulation module involves building a virtual simulation platform by referring to the practical training operation platform. The control module controls the virtual teach pendant via an existing mouse and keyboard. The virtual teach pendant then controls the robot's movement to achieve the training objectives. The data acquisition module acquires data on the task completion time, program execution efficiency, success rate, and error rate of the training target. The analysis module analyzes various parameters, generates visual reports, and adjusts students' training objectives based on these reports. The safety module acquires the number of times the emergency stop button is triggered, the number of times the safety light curtain is triggered, and the number of times the vehicle speeds in manual mode, and generates a safety report. The cloud module synchronizes the training objectives completed by students, as well as the operations and data performed to achieve those objectives.

[0023] This embodiment also provides an electronic device, including: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the training method combining virtual and real technologies for industrial robots are realized.

[0024] This embodiment also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of a training method combining virtual and real technologies for industrial robots.

[0025] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0026] The technical scope of this invention is not limited to the content described above. Those skilled in the art can make various modifications and variations to the above embodiments without departing from the technical concept of this invention, and all such modifications and variations should fall within the protection scope of this invention.

Claims

1. A practical training method combining virtual and real technologies for industrial robots, characterized in that, include: Based on the parameters of the physical robot operating platform, a corresponding three-dimensional simulation environment is built in the virtual simulation software; Students use virtual teach pendants to control the robot's movement and complete training objectives; The student's training objectives are modified based on the parameters of the training objectives achieved by the student.

2. The training method for industrial robots combining virtual and real technologies according to claim 1, characterized in that, The physical robot operating platform is an ABB IRB120.

3. The training method for industrial robots combining virtual and real technologies according to claim 1, characterized in that, The parameters include task completion time, program execution efficiency, success rate, and error rate.

4. The training method for industrial robots combining virtual and real technologies according to claim 3, characterized in that, The training method also includes analyzing various parameters, generating visualization reports, and changing students' training objectives based on the visualization reports.

5. The training method for industrial robots combining virtual and real technologies according to claim 1, characterized in that, The training method also includes safety control, which involves obtaining the number of times the emergency stop button is triggered, the number of times the safety light curtain is triggered, and the number of times the speeding occurs in manual mode, and generating a safety report.

6. The training method for industrial robot professionals combining virtual and real technologies according to claim 1, characterized in that, The training method also includes a cloud platform to synchronize the training objectives completed by students, the operations performed to complete the training objectives, and the data.

7. A training system combining virtual and real technologies for industrial robots, as described in any one of claims 1-6, characterized in that, The virtual simulation module involves building a virtual simulation platform by referring to the practical training operation platform. The control module controls the virtual teach pendant via an existing mouse and keyboard. The virtual teach pendant then controls the robot's movement to achieve the training objectives. The data acquisition module acquires data on the task completion time, program execution efficiency, success rate, and error rate of the training target. The analysis module analyzes various parameters, generates visual reports, and adjusts students' training objectives based on these reports. The safety module acquires the number of times the emergency stop button is triggered, the number of times the safety light curtain is triggered, and the number of times the vehicle speeds in manual mode, and generates a safety report. The cloud module synchronizes the training objectives completed by students, as well as the operations and data performed to achieve those objectives.

8. An electronic device, comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, they implement the steps of the training method combining virtual and real technologies for industrial robots as described in any one of claims 1 to 6.

9. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the training method for combining virtual and real technologies for industrial robots as described in any one of claims 1 to 6.