主办：陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊：1976年
汽车实用技术

汽车实用技术 ›› 2025, Vol. 50 ›› Issue (22): 81-86,122.DOI: 10.16638/j.cnki.1671-7988.2025.022.015

• 汽车教育 • 上一篇    

产教融合视域下模具类专业虚拟实训体系的 构建与智能评价

张娜 1，宋思朋 2，史展帆 1，于振环 2*   

  1. 1.长春汽车职业技术大学 机械工程学院; 2.长春汽车职业技术大学 汽车工程学院
  • 发布日期:2025-11-21
  • 通讯作者: 于振环
  • 作者简介:作者简介：张娜（1981－），女，硕士，副教授，研究方向为机械设计与创新; 通信作者：于振环（1979－），男，博士，副教授，研究方向为汽车悬架系统动力学及仿真分析
  • 基金资助:
    吉林省教育科学“十四五”规划课题《数字赋能模具类专业岗课赛证一体化实践教学体系构建研究》（JS2341）

Construction and Intelligent Evaluation of a Virtual Training System for Mold-Related Majors from the Perspective of Industry-Education Integration

ZHANG Na1 , SONG Sipeng2 , SHI Zhanfan1 , YU Zhenhuan2*   

  1. 1.Department of Mechanical Engineering, Changchun Automobile Industry Institute, ; 2.Department of Automotive Engineering, Changchun Automobile Industry Institute
  • Published:2025-11-21
  • Contact: YU Zhenhuan

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摘要： 为响应“智改数转”战略，研究针对模具类专业实训教学中设备成本高、资源不足、 产教脱节等问题，构建了“岗课赛证”一体化的虚拟实训体系。基于产教融合理念，集成虚 拟现实（VR）与数字孪生（DT）技术，开发覆盖模具设计、数控加工、装配检测等全流程的 虚拟实训平台。通过 Unity 3D 引擎构建高精度仿真场景，利用过程控制的对象链接与嵌入统 一架构（OPC UA）和消息队列遥测传输（MQTT）协议实现虚实设备数据同步，形成双向联 动的数字孪生系统；结合人工智能（AI）算法实时分析学生操作行为，生成个性化技能评估 报告，并通过校企合作开发真实案例库。对比实验表明，虚拟实训组学生在实践技能与岗位 适应性方面显著优于传统组，85%的学生认可其效果，企业反馈学生培训成本降低、上岗周 期缩短。该体系通过沉浸式交互与智能反馈机制，推动教学内容与企业需求的动态匹配，提 升校企协同育人效能并提供了可复制的技术路径与实践范式

关键词: 产教融合；智改数转；虚拟实训；模具制造；职业教育；智能制造

Abstract: In response to China's "Smart Transformation and Digital Transition" strategy, this study addresses critical challenges in mold-related majors training, such as high equipment costs, limited teaching resources, and the misalignment between education and industry needs. A virtual training system integrating job roles, courses, competitions, and certifications has been proposed to improve the quality and efficiency of practical teaching. Based on the concept of industry-education integration, the system incorporates virtual reality (VR) and digital twin (DT) technologies to develop a virtual training platform that covers the entire process of mold design, numerical control machining machining, assembly, and inspection. The platform is built using the Unity 3D engine to create high-fidelity simulation environments and employs object linking and embedding for process control unified architecture (OPC UA) and message queuing telemetry transport (MQTT) protocols to synchronize data between virtual and real devices, forming a bidirectional digital twin system. Artificial intelligence (AI) algorithms are used to analyze student operational behavior in real time, generate personalized skill evaluation reports, and support a real-case library developed through school-enterprise collaboration.Comparative experiments indicate that students who participated in virtual training performed better in hands-on skills and job adaptability than those in traditional training groups. Moreover, 85% of students recognizes the training's effectiveness, and enterprises report reductions in training costs and onboarding time. Through immersive interaction and intelligent feedback mechanisms, this system helps align teaching content with industry demands, enhances the effectiveness of school-enterprise cooperative education, and provides a potentially replicable technical approach and educational model.

Key words: industry-education integration; Smart Transformation and Digital Transition; virtual training; mold manufacturing; vocational education; intelligent manufacturing