数字孪生赋能的矿业实践教育自适应模式研究  

Research on the Adaptive Mode of Mining Engineering Practice Education Driven by Digital Twin Technology

作　　者：高如高 张雪丽 谭心悦 袁超[1] 高开欣 GAO Rugao;ZHANG Xueli;TAN Xinyue;YUAN Chao;GAO Kaixin(Hunan University of Science and Technology,Xiangtan 411201,China;Second Xiangya Hospital of Central South University,Changsha 410011,China)

机构地区：[1]湖南科技大学,湘潭411201 [2]中南大学湘雅二医院,长沙410011

出　　处：《煤矿现代化》2025年第2期29-36,共8页Coal Mine Modernization

基　　金：国家自然科学基金项目(52404120);湖南省学位与研究生教学改革研究项目(2024JGYB194);湖南省普通本科高校教学改革研究项目(202401000883);湖南省社会科学成果课题(XSP2023JYC206)。

摘　　要：行业数字化、信息化建设是当前我国矿业高质量发展的焦点。但长期以来,信息化、智能化专业人才的培养存在缺失。因此,研究数字孪生技术驱动下的矿业工程实践教育自适应模式对于推进国家矿业工程智能化与产教融合具有重要意义。本研究完成了以下工作:首先,解析矿业工程实践、数字孪生和自适应模式的内在关联,提出基于工业物联网的大数据管理框架(BDM)的信息集成与五维模型运作机制。其次,通过矿业工程实践教育体系要素的数据融合,结合Unity开发平台构建动态交互孪生系统的UI可视化,构建数字孪生仿真培训系统。最后,基于自适应模式开展人机交互与协同试验。结果表明,学员可以通过数字孪生显示的模型、动作、数据等信息获取矿山生产环节的实时状态,通过室内设备仿真操作与现场远程操控的误差在10%以下,且与井下工序重合度较高。在数字孪生技术驱动和交互共享机制支持下,有望通过信息有序管理和决策实现系统、精准的矿业工程专业人才智慧化培养模式。Industry digitization and information construction are regarded as the core of the high-quality development of Chinese mining industry.However,there is a long-term lack of training for information and intelligent professionals.Therefore,it is of great significance to study the adaptive mode of mining engineering practice education driven by digital twin technology to promote the intellectualization of national mining engineering and industry-education integration.The following work has been completed in this research:Firstly,the internal relationship between mining engineering practice,digital twin and adaptive mode was analyzed,and the information integration and five-dimensional model operation mechanism of big data management framework(BDM)based on industrial Internet of things was proposed.Secondly,based on the data fusion of the elements of the mining engineering practice education system,combined with the Unity development platform,the UI visualization of the dynamic interactive twin system was constructed,so as the digital twin simulation training system.Finally,human-computer interaction and collaborative experiments were carried out based on adaptive mode.The results show that students can obtain the real-time state of the mine production process through the model,action,data and other information displayed by the digital twin technology.The error between the indoor equipment simulation operation and the on-site remote control is less than 10%,and it is highly consistent with the underground process.Driven by digital twin technology and interactive sharing mechanism,it is expected to realize a systematic and accurate intelligent training mode of mining engineering professionals through orderly information management and decision-making.

关 键 词：数字孪生技术 矿业研究 五维模型 教育改革 协同工作 

分 类 号：TD67[矿业工程—矿山机电]