转载丨【2号通知】DigiTwin 2024 第四届数字孪生国际会议分会预告—数字孪生智能建造(SC)

文摘   2024-10-15 17:42   北京  

DigiTwin2024

2024

DigiTwin

第四届

数字孪生国际会议

10/14-10/18
























The 4th Digital Twin International Conference (DigiTwin 2024) will be held on 14th-18th Oct, 2024 in Politecnico di Milano (Bovisa Campus), Milan, Italy. The DigiTwin 2024 is organized under the guidance of Digital Twin International Advisory Committee (DTIAC), devoted to the communication and publicity of new ideas, research and works in progress within the fields of digital twin.


第四届数字孪生国际会议(DigiTwin 2024)将于2024年10月14日-10月18日在意大利米兰理工大学(Bovisa校区)举行。DigiTwin 2024组织工作由数字孪生国际专家委员会(DTIAC)指导,致力于数字孪生领域的新思想、新研究和新工作的交流、宣传。


会议将以线上线下结合的方式进行。线上会议将通过ZOOM和腾讯会议直播。


DigiTwin数字孪生国际会议已在中国、澳大利亚、法国连续成功举办三届,第三届会议注册人数超过2100人。



专题分会介绍

Special Session on

Digital Twin Smart Construction (SC)

数字孪生智能建造(SC)

时间:10月15日,20:00 - 23:30(北京时间)

形式:线上

腾讯会议号: 258-954-982

会议链接: https://meeting.tencent.com/dm/pNV2X673DQCZ




一、专会主席 Session Chairs

Chair

Zhansheng Liu

Professor, Beijing University of Technology (China)

Lzs4216@163.com

Co-Chair

Zhe Sun

Assistant Professor, Beijing University of Technology (China)

zhesun@bjut.edu.cn

Co-Chair

Fengjuan Chen

Associate Professor, Beijing University of Technology (China)

fengjuanchen@bjut.edu.cn



二、专会目标Session Aim & Scope

As the biggest global industry sector, the construction industry has become digitally lagging compared to other industry sectors. Both academics and practitioners have recognized the demand for the digital transformation of the construction industry. Hence, smart construction is crucial to support the digital transformation of the construction industry. How to use emerging information technologies and concepts to enable smart construction is an important question to ensure the safety and efficiency of the construction industry. To share the latest advances in DT technologies for smart construction, the Digital Twin International Conference in 2024 (DigiTwin 2024), is extending a Special Session for Digital Twin Driven Smart Construction. The proposed Special Session particularly fits the following topics, but are not limited to:


  • Digital twin modeling and simulation for smart construction

  • Digital twin for smart construction quality control

  • Digital twin for smart construction safety control

  • Digital twin for smart civil infrastructure operation and maintenance

  • Digital twin for risk prediction and control

  • Development of AI-driven digital twin technologies in construction

  • Digital twin for smart equipment and robotics



三、专会报告Session Presentations

Digital Twin Smart Construction (SC-1)

Kefu Lv

Engineer,

China National Nuclear Corporation (China)

Title: Enhancing Nuclear Power Production with Digital Twin and Artificial Intelligence


Abstract:

Integrating artificial intelligence (AI) with digital twin technology offers transformative potential for enhancing nuclear power production. Digital twins create precise virtual models of physical assets, while AI enhances these models with real-time data analysis, predictive maintenance, and process optimization. This combination boosts operational efficiency, safety, and reliability in nuclear power plants. AI-driven insights, supported by digital twins, can streamline maintenance, optimize energy output, and improve overall plant management. As advancements continue, particularly in explainable AI, the synergy of these technologies is poised to revolutionize nuclear energy, driving innovation and regulatory developments in the industry.

Digital Twin Smart Construction (SC-2)

Yu Zhang

Senior Engineer,

China Institute of Atomic Energy (China)

Title: Digital Twins Supporting Decommissioning of Heavy Water Research Reactor


Abstract:

Heavy Water Research Reactor (HWRR) is the first reactor in China. According to the plan of China Institute of Atomic Energy (CIAE), immediate dismantling is selected as the strategy of HWRR decommissioning. Nuclear reactor decommissioning is a complex engineering. Digital Twins of nuclear facilities recreate a facility’s technology and structures and support effective design, operation, and maintenance. This research puts forward digital twins technology application in HWRR decommissioning, supporting the characterization, dismantling, and radioactive waste management.

Digital Twin Smart Construction (SC-3)

Shen Zhang

Chairman, Zhongda Digital Company

Digital Director, Central South Architectural Design Institute (China)

Title: Insights from Developing an Intelligent Construction Platform Empowered by Indistrial Software


Abstract:

An intelligent construction platform is built with industrial software as the core to revolutionize the traditional project management, break down data silos, realize the whole process collaboration, and "one model to the end, construction with no drawing, and full-process transparency". According to practices, the platform effectively improves the construction period, costs and project quality to lead the construction industry to digital transformation, and drive deep integration of the industrial chain.

Digital Twin Smart Construction (SC-4)

Yanyu Wang

Assistant Professor,

Louisiana State University (US)

Title: Leveraging Artificial Intelligence for Predictive Analysis of Pavement Condition and Maintenance Costs in the Context of Natural Hazards


Abstract:

Natural hazards significantly impact pavement integrity and maintenance costs, posing challenges to infrastructure management. This research integrates artificial intelligence (AI) to analyze a dataset of 100 records on natural hazards, pavement conditions, and maintenance costs. By utilizing machine learning models, the study aims to predict pavement deterioration and estimate future maintenance expenses, enabling proactive planning. The AI-driven models will consider factors like hazard type, pavement materials, traffic load, and maintenance history. The findings will provide infrastructure managers with insights to optimize maintenance strategies, reduce costs, and improve pavement resilience, advancing the role of AI in civil infrastructure management.

Digital Twin Smart Construction (SC-5)

Weiwei Chen

Assistant Professor

University College London (UK)

Title: The Application of Digital Twins in Infrastructure


Abstract:

The construction industry is currently grappling with issues such as low productivity, labour shortages, and frequent safety incidents. In this context, the applications of intelligent construction and digital twins have garnered widespread attention from both academia and industry. Digital twin technology, as one of the primary core technologies of intelligent construction, combined with sensing technology, AI and machine learning, holds promise in effectively addressing challenges such as 3D reconstruction, real-time monitoring, predictive maintenance and net zero carbon. This report primarily explores the application of digital twin technology in infrastructures, especially for construction and maintenance. Through real-world case studies, this report showcases the value and impact of digital twins in the realm of intelligent and sustainable construction.

Digital Twin Smart Construction (SC-6)

Fengjuan Chen

Associate Professor,

Beijing University of Technology (China)

Title: Building of A Digital Platform for Intelligent Construction of Civil Engineering Structures


Abstract:

Construction of a digital platform for intelligent construction of civil engineering structures relies on physical models and mathematical algorithms. Utilizing BIM modeling, multidimensional digital modeling, and advanced simulation technologies, the built digital platform integrates big data and intelligent decision support systems. Notable applications include the design and case analysis of the Beijing Daxing International Airport, the Beijing Winter Olympics venues, and digital simulations for nuclear reactor decommissioning projects, demonstrating comprehensive capabilities in enhancing construction efficiency and safety through advanced digitalization.

Digital Twin Smart Construction (SC-7)

Jiaqi Li

Product Manager

Huaru Technology (China)

MSc, University of Southampton(UK)

Title: Solution of Digital Twin Application in Supply Chain of Manufacturing Enterprises


Abstract:

The digital upgrading of the supply chain is a megatrend and direction for enterprise development. This talk will present the current status and pain points of manufacturing enterprise supply chains, and combine a digital twin construction method to introduce the solution and technical route of "simulation+intelligent decision-making" empowering the digital transformation of enterprise supply chain.


期刊简介


Smart Construction(《智能建造与智慧运维》), ISSN: 2960-2025 (Print),ISSN: 2960-2033 (Online),是一本国际性的学术期刊,正式创办于2023年12月。本刊目标影响因子为8,由北京工业大学与爱迩思出版社(ELSP)共同创办,旨在推动智能建造领域的发展与创新。


本刊拥有院士领衔的国际化编委团队,由中国工程院院士杜修力教授,中国工程院外籍院士Billie F. Spencer, Jr 教授,日本工程院外籍院士赵衍刚教授及澳大利亚工程院院士郝洪教授4位院士担任共同主编,副主编为智能建造与智慧运维相关领域的国际著名学者,编委团队汇聚了来自全球10个国家37所知名机构的43位卓越科学家,为期刊注入了无尽的学术活力。


Smart Construction接收综述、观点、原创研究、快报、短评等类型的文章,征稿范围涵盖智能建造与智慧运维的基础和应用研究,包括但不限于:智慧城市、数字孪生、智能建造、智能防灾与减灾、智能材料、智能交通系统、智能感知系统、智慧规划与设计、系统韧性、智能装备与机器人、城市更新、绿色施工与运维、智慧运维、民用基础设施系统。


Smart Construction期刊采用开放获取 (OA) 模式,直至 2026 年将免除文章处理费 (APC)。欢迎各位学者关注并投稿!



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特刊征稿合集
1. 超越建筑信息模型 (BIM) 和数字孪生集成的建筑业数字化转型
2. 基于数字孪生的建筑工地监测与优化
3. 面向韧性可持续路面结构的智能状态评估与性能预测

期刊征稿

网站:https://elspublishing.com/journals/smart-construction/home/
邮箱:smartcon@elspub.com
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