Zheng Pengfei, Yang Junkai, Lou Jingjing, Wang Bo
Xingzhi College, Zhejiang Normal University, Lanxi, 321100, China.
School of Mechanical Information, Yiwu Industrial & Commercial College, Yiwu, 322000, China.
Sci Rep. 2024 Jun 5;14(1):12895. doi: 10.1038/s41598-024-62072-5.
Aiming at the practical teaching of intelligent manufacturing majors faced with lack of equipment, tense teachers and other problems such as high equipment investment, high material loss, high teaching risk, difficult to implement internship, difficult to observe production, difficult to reproduce the results, and so on, we take the electrical automation technology, mechatronics technology and industrial robotics technology majors of intelligent manufacturing majors as an example, and design and establish a virtual simulation teaching platform for intelligent manufacturing majors by using the cloud computing platform, edge computing technology, and terminal equipment synergy. The platform includes six major virtual simulation modules, including virtual simulation of electrician electronics and PLC control, virtual and real combination of typical production lines of intelligent manufacturing, dual-axis collaborative robotics workstation, digital twin simulation, virtual disassembly of industrial robots, virtual simulation of magnetic yoke axis flexible production line. The platform covers the virtual simulation teaching content of basic principle experiments, advanced application experiments, and advanced integration experiments in intelligent manufacturing majors. In order to test the effectiveness of this virtual simulation platform for practical teaching in engineering, this paper organizes a teaching practice activity involving 246 students from two parallel classes of three different majors. Through a one-year teaching application, we analyzed the data on the grades of 7 core courses involved in three majors in one academic year, the proportion of participation in competitions and innovative activities, the number of awards and certificates of professional qualifications, and the subjective questionnaires of the testers. The analysis shows that the learners who adopt the virtual simulation teaching platform proposed in this paper for practical teaching are better than the learners under the traditional teaching method in terms of academic performance, proportion of participation in competitions and innovative activities, and proportion of awards and certificates by more than 13%, 37%, 36%, 27% and 22%, respectively. Therefore, the virtual simulation teaching platform of intelligent manufacturing established in this paper has obvious superiority in solving the problem of "three highs and three difficulties" existing in the practical teaching of engineering, and according to the questionnaire feedback from the testers, the platform can effectively alleviate the shortage of practical training equipment, stimulate the interest in learning, and help to broaden and improve the knowledge system of the learners.
针对智能制造专业实践教学面临的设备短缺、师资紧张、设备投入高、材料损耗大、教学风险高、实习难开展、生产过程难观摩、结果难重现等问题,本文以智能制造专业中的电气自动化技术、机电一体化技术和工业机器人技术专业为例,利用云计算平台、边缘计算技术和终端设备协同,设计并搭建了智能制造专业虚拟仿真教学平台。该平台包括电工电子与PLC控制虚拟仿真、智能制造典型生产线虚实结合、双轴协作机器人工作站、数字孪生仿真、工业机器人虚拟拆装、磁轭轴柔性生产线虚拟仿真6大虚拟仿真模块。该平台涵盖了智能制造专业基础原理实验、先进应用实验和先进综合实验的虚拟仿真教学内容。为检验该虚拟仿真平台用于工程实践教学的有效性,本文组织了一项涉及3个不同专业2个平行班246名学生的教学实践活动。通过一年的教学应用,分析了三个专业一学年7门核心课程成绩、竞赛与创新活动参与比例、获奖与职业资格证书数量以及测试者主观问卷等数据。分析表明,采用本文提出的虚拟仿真教学平台进行实践教学的学习者在学业成绩、竞赛与创新活动参与比例、获奖与证书比例方面分别比传统教学方式下的学习者高出13%、37%、36%、27%和22%以上。因此,本文构建的智能制造虚拟仿真教学平台在解决工程实践教学中存在的“三高、三难”问题方面具有明显优势,且根据测试者问卷反馈,该平台能有效缓解实训设备短缺问题,激发学习兴趣,有助于拓宽和完善学习者的知识体系。