适合人群
适合年级 (Grade): 高中生/大学生
适合专业 (Major): 国际航运及物流管理、海事管理、港口与海运管理、交通运输管理、物流工程、航运经济与管理、工业工程等专业，或希望修读相关专业的学生；
学生需要具备数学、Python基础知识（无须精通，但须了解，具体可见先修课）
建议选修: Python数据处理及其数学原理
导师介绍
Ioannis
剑桥大学 University of Cambridge
讲席终身正教授&建筑信息技术实验室主任
Ioannis教授是信息工程和智能建筑领域的杰出人物。他是剑桥大学工程系讲席终身正教授，并在这里创立了建筑信息技术实验室，现如今担任首届实验室负责人。作为美国土木工程师协会(ASCE)建筑研究委员会的成员，他为推进该领域做出了重大贡献。此外，他还是欧洲建筑计算理事会的创始成员和首任主席。 在剑桥大学，Ioannis教授作为首席学术研究员领导了“未来数字之道路计划”，积极推动和扩展基础设施创新的边界。与此同时，他还担任国际建筑自动化和机器人协会（IAARC）出版物的副主编，以及爱思唯尔Elsevier的建筑自动化和高级工程信息学期刊的副主编。他的学术影响是巨大的，在谷歌学术上有超过12800次引用，i10指数为137，其在2016年发表在《IEEE计算机视觉和模式识别会议论文集》中的著作《大型室内空间的三维语义解析》如今已获得超过1800余次引用，这充分证明了他在计算机辅助工程设计领域中的影响力。
Professor Ioannis is a distinguished figure in the field of engineering and architecture. He holds the prestigious position of Chair and Full Professor at the Department of Engineering, University of Cambridge, where he also directs the Laboratory for Building Information Technology. As a member of the American Society of Civil Engineers (ASCE) Construction Research Council, he contributes significantly to advancing the field. Furthermore, he is the founding member and inaugural president of the European Council for Computing in Construction.At Cambridge, Professor Ioannis leads the Digital Roads of the Future initiative as the Chief Academic Researcher, pushing the boundaries of innovation in infrastructure. His editorial roles include serving as the Associate Editor for the International Association for Automation and Robotics in Construction (IAARC) publications, and for Elsevier's Automation in Construction and Advanced Engineering Informatics journals. His scholarly impact is substantial, with over 12,800 citations on Google Scholar and an i10-index of 137, underscoring his influence and expertise in his domain.
项目背景
在数字时代的大背景下，「数实融合」发展不断深入，数字孪生作为产业数字化核心技术之一，其大规模应用还处于起步阶段。但面对着诸多领域的转型升级需求其发展势头十分强劲，成为政产学研用等各界的重点关注领域，数字孪生俨然已走到了新时代的聚光灯下。建筑业中的数字孪生技术是创新与技术融合在建筑和施工领域出现的突破性理念。这一突破使建筑业进入了效率、协作和数据驱动决策的新时代，它经常被称为“物理世界和数字世界之间的桥梁”。建筑业数字孪生技术有着广泛的应用范围，它为建筑行业开创了创造力和效率的新时代，彻底改变了项目的规划、实施和维护方式。
项目介绍
身处信息时代，数据已成为构建的基础设施交付和生命周期管理的一个基本且决定性指标。数字孪生是它的核心。但什么是数字孪生？它是如何产生的？其应用和对未来的影响是什么？在本项目中，学生将探索数字孪生系统的关键概念和应用，这些概念和应用目前处于建筑领域研究和开发的前沿。他们将对物理和数字相融合的系统本质、数字指导下的建筑产品和建造过程有更深入，更细致的理解。本项目中，学生学习的目标包括深入了解建筑环境中数字孪生的起源、性质、方法和含义。在课程结束时，学生将对数字双胞胎在塑造我们的现代建筑世界中所扮演的角色有更细致的理解，并能够批判性地评估信息管理系统并识别知识差距。学生将培养他们的批判性思维能力，增强他们构建合理论点的能力，并参与有关复杂科学和技术问题的讨论和辩论。
Information Management has become a defining feature of built infrastructure delivery and lifecycle management in the information age. Digital Twins are at the core of it. But what is a Digital Twin? How did it arise? What are the fundamentals and implications? In this course, students will explore key concepts and applications of Digital Twin Systems that currently sit at the forefront of research and development in the construction sector. They will emerge with a deeper, more nuanced understanding of the nature of physical and digital twins and systems and how built environment products and processes interact in the digital and physical space and across time, as well as be positioned to form considered views concerning the future of information management as an emerging sector and possibly their role in it. The student aims for this course include gaining a deeper understanding of the origins, nature, methods, and implications of digital twins in the built environment. By the end of the course, students will have developed a more nuanced understanding of the role that digital twins play in shaping our modern built world and will be able to critically evaluate information management systems and identify knowledge gaps. Students will develop their critical thinking skills, enhance their ability to construct well-reasoned arguments, and engage in discussions and debates about complex scientific and technical issues.
个性化参考研究课题：大型综合交通枢纽数字孪生智治应用、数字孪生重大体育赛事智慧场馆、智慧农业稻米加工厂、低碳冬奥监测与供电保障等
Suggested research topic: Application of digital twin intelligent governance in large-scale integrated transportation hubs, smart venues for major sports events, smart agricultural rice processing plants, low-carbon Winter Olympics monitoring and power supply assurance
项目大纲
建筑信息模型BIM和数字孪生Digital Twin的定义与基本概念 The definition and basic concepts of building information model BIM and Digital Twin
数字孪生技术基础设施：物联网，人工智能、大数据模型、建筑信息模型BIM，Digital twin technology infrastructure: Internet of Things, artificial intelligence, big data models, building information models BIM
数字孪生建筑起源与演变：数字孪生的五维模型、数字孪生技术在建筑生命周期中的应用 The origin and evolution of digital twin architecture: the five-dimensional model of digital twin and the application of digital twin technology in the life cycle of architecture
数字孪生商业生态与数字经济 Digital twin business ecology and digital economy
项目回顾与成果展示 Program review and presentation
论文辅导 Project deliverable tutoring
项目收获
7周在线小组科研学习+5周不限时论文指导学习 共125课时
项目报告
优秀学员获主导师Reference Letter
EI/CPCI/Scopus/ProQuest/Crossref/EBSCO或同等级别索引国际会议全文投递与发表指导（可用于申请）
结业证书
成绩单
LASER Award in Research Skills for Academic Study官方证书并转换8 UCAS Tariff Points（可选）