Article
Engineering, Industrial
Huitaek Yun, Martin B. G. Jun
Summary: Smart manufacturing drives the need for new interfaces to facilitate communication between autonomies such as big data analysis, digital twin, and self-decisive control. This study proposes a human interface framework based on virtual reality (VR) for cyber-physical systems, enabling collaboration between humans and autonomies, and its effectiveness has been demonstrated.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Chemistry, Analytical
Sangsu Choi, Jungyub Woo, Jun Kim, Ju Yeon Lee
Summary: A digital twin is a key technology in the fourth industry that allows analysis of data and monitoring of systems by combining virtual and physical models. This paper presents a digital twin system based on an interoperable data model, explaining how to build it using edge devices, data analytics, and 3D visualization. The system enables continuous collaboration between field engineers, designers, and layout engineers, and can be used by both large companies and small and medium-sized enterprises.
Article
Computer Science, Artificial Intelligence
Shimin Liu, Pai Zheng, Jinsong Bao
Summary: This paper analyzes the definition, characteristics and operational mechanism of Digital Twin-based manufacturing system (DTMS), and proposes a reference model for DTMS. Furthermore, potential research directions of DTMS in terms of reusability, interpretability and adaptability are highlighted.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Automation & Control Systems
Xiaokang Zhou, Xuesong Xu, Wei Liang, Zhi Zeng, Shohei Shimizu, Laurence T. Yang, Qun Jin
Summary: This article focuses on the development of a small object detection model for digital twins, aiming to achieve dynamic synchronization and real-time estimation of environmental parameters. By constructing a hybrid deep neural network model and learning algorithm, efficient multi-type small object detection is achieved to facilitate process modeling, monitoring, and optimization in smart manufacturing.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Architecture
Syed Mobeen Hasan, Kyuhyup Lee, Daeyoon Moon, Soonwook Kwon, Song Jinwoo, Seojoon Lee
Summary: Smart construction utilizes IoT smart technologies, particularly Cyber-Physical Systems, to assist in construction processes. This paper focuses on using Augmented Reality and Digital Twin technologies for construction machinery operation and work tracking. CPS features real-time state knowledge and control, allowing for bi-directional communication between virtual models and physical objects through sensors and micro-controllers.
JOURNAL OF ASIAN ARCHITECTURE AND BUILDING ENGINEERING
(2022)
Article
Automation & Control Systems
Charles Ming Zheng, Lu Zhang, Yaw-Hong Kang, Youji Zhan, Yongchao Xu
Summary: This paper proposes a digital twin-driven intelligent algorithm for monitoring in-process milling parameters. The algorithm extracts milling parameters using force sensor and achieves a balance between identification accuracy and calculation efficiency. The proposed algorithm is validated through milling experiments.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Industrial
Qiang Liu, Jiewu Leng, Douxi Yan, Ding Zhang, Lijun Wei, Ailin Yu, Rongli Zhao, Hao Zhang, Xin Chen
Summary: Digital twin technology can be used for designing flow-type smart manufacturing systems, with a four-in-one design architecture called CMCO that includes configuration design, motion planning, control development, and optimization decoupling. A digital twin-based design platform, named Digital Twin System, was created using digital twin technology and the CMCO model, verifying the feasibility and efficiency of this design approach.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Automation & Control Systems
Moon Gi Seok, Wen Jun Tan, Wentong Cai, Daejin Park
Summary: Smart factories use digital twins to evaluate different production scenarios. This article presents a consistency-checking approach to maintain high-fidelity digital twins by comparing sensed timed events from the physical manufacturing plant with DT-based estimations. The approach targets DTs developed using time colored Petri net (TCPN) and includes methods for building virtual estimates and accelerating SCG evolution.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Review
Engineering, Manufacturing
Till Bottjer, Daniella Tola, Fatemeh Kakavandi, Christian R. Wewer, Devarajan Ramanujan, Claudio Gomes, Peter G. Larsen, Alexandros Iosifidis
Summary: In recent years, there has been a growing hype around Digital Twins (DTs) in both industry and academia. DTs have the potential to increase automation and advance towards Smart Manufacturing. This literature review focuses on DTs at the unit level in manufacturing, specifically in terms of real-time control. The review summarizes the current implementation and operation of DTs, and highlights their potential benefits in four categories: generic reference models, services, DT content (models and data), and DT deployment (hardware and software).
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Manufacturing
Ankur Aggarwal, Sumit Gupta, Anbesh Jamwal, Rajeev Agrawal, Monica Sharma, Govind S. Dangayach
Summary: This study examines the current status of the adoption of smart and sustainable manufacturing practices in the Indian manufacturing industry, as well as the relationship between manufacturing competitiveness and top management commitment with these practices.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2022)
Review
Automation & Control Systems
Jiangfeng Cheng, Yi Yang, Xiaofu Zou, Ying Zuo
Summary: Manufacturing industry, as a vital part of the real economy, plays a significant role in societies worldwide. Smart manufacturing has gained strategic importance to many countries, in which 5G technology plays a crucial role. This paper examines the communication requirements of machine-to-machine, manufacturing Internet of Things, cyber-physical system-based manufacturing, logistics and supply chain, industrial Internet platform, and digital twin-driven manufacturing. It investigates the research and application progress of 5G in manufacturing, and proposes future research hotspots for the further integration of 5G and smart manufacturing.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Cunbo Zhuang, Tian Miao, Jianhua Liu, Hui Xiong
Summary: Digital twin (DT) technology provides a novel, feasible, and clear implementation path for smart manufacturing and cyber-physical systems (CPS). DT is applied to various stages of the product lifecycle, including design, production, and service, with shop-floor digital twin (SDT) serving as a digital mapping model of the physical shop-floor. Challenges exist in building and applying SDT, particularly in the production phase.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
Article
Computer Science, Information Systems
Yiwen Wu, Ke Zhang, Yan Zhang
Summary: Digital twin network (DTN) utilizes digital twin (DT) technology to create virtual twins of physical objects, enabling co-evolution between physical and virtual spaces. Key applications include manufacturing, aviation, healthcare, and intelligent transportation systems, with current technical challenges and future trends identified.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Interdisciplinary Applications
Donghai Liu, Chenyang Sun, Junjie Chen, Lei Liu
Summary: Urban excavation is a crucial process for various construction activities, but the complexity of underground utilities in urban areas poses safety risks. Digital twin (DT) has the potential to enhance urban excavation safety (UES) by providing real-time excavation information and high-fidelity simulation. This research develops a DT for urban excavation, integrating a multisensory solution for precise estimation of excavator poses, a dynamic virtual model using building information and 3D excavator models, and a real-time safety control method for proactive monitoring and risk assessment. A system prototype was successfully applied in a case study, demonstrating improved excavation accuracy and collision avoidance.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
(2023)
Article
Automation & Control Systems
Tian Wang, Jiaxiang Cheng, Yi Yang, Christian Esposito, Hichem Snoussi, Fei Tao
Summary: This article proposes a control optimization framework for conveyor-based manufacturing systems under the digital twin (DT) framework, aiming to integrate physical and virtual systems. The use of profit-sharing-based deep Q-networks (PDQNs) is introduced to address the RIC optimization problem for the automated conveyor system.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)
