Article
Computer Science, Information Systems
Zhaohui Wu, Ying Chang, Qing Li, Rongbin Cai
Summary: This paper proposes a new method for tunnel digital twin construction and virtual-real integration operation, which uses BIM technology to construct a static model of the tunnel scene, integrates surveillance video into a three-dimensional virtual scene in real time, and fuses multi-source sensing data to form a digital twin scene, thereby improving the efficiency of tunnel operations and management.
Article
Computer Science, Artificial Intelligence
Tangbin Xia, He Sun, Yutong Ding, Dongyang Han, Wei Qin, Joachim Seidelmann, Lifeng Xi
Summary: In this paper, a real-time energy optimization method based on digital twin technologies is proposed. It integrates geometry, physics, production behavior, simulation rules, and data interaction to construct a digital twin-based real-time simulation method. By considering energy consumption characteristics and production equipment behaviors, a real-time energy optimization model is constructed, with an effective solving algorithm based on genetic algorithm. The practical implementation in a shell production line shows that this method has practical value and guiding significance to improve the efficiency of production lines.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Automation & Control Systems
Wenjun Xu, Zhihao Li, Jiayi Liu, Jia Cui, Yang Hu
Summary: This paper presents a method for reconfiguring robotic mixed-model assembly lines using digital twin technology. By establishing digital twin models and interconnections between physical and cyber spaces, and utilizing the adaptive neighborhood search Bees algorithm to solve the virtual reconfiguration problem, better solutions are obtained.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Chemistry, Analytical
Arif Furkan Mendi
Summary: Digital twin technology has significant advantages in the manufacturing sector, particularly in product development and the commercial production phase of production lines. It allows for simulation, processing, and validation of each stage of the product, leading to the discovery of potential problems and increased production efficiency.
Article
Computer Science, Artificial Intelligence
Eric VanderHorn, Sankaran Mahadevan
Summary: Digital Twin is a promising digital technology for supporting digital transformation and decision making in multiple industries. However, the variety of definitions calls for a consolidated definition and established characteristics to distinguish Digital Twin from other technologies.
DECISION SUPPORT SYSTEMS
(2021)
Article
Computer Science, Interdisciplinary Applications
Zongmin Jiang, Yangming Guo, Zhuqing Wang
Summary: This research analyzes the concept of digital twin and influential framework models, emphasizing the importance of data, models, and services in the implementation of digital twin. By applying this framework to IIoT device acquisition layer and remote system layer, the IoT system focuses on device-DT-application, promoting integration of physical and digital worlds.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2021)
Article
Automation & Control Systems
Hanzhong Xu, Dianliang Wu, Yu Zheng, Qihang Yu, Yue Zhao
Summary: The study aims to address the challenges faced in production commissioning by leveraging the capabilities of augmented reality (AR) technology and digital twin technology in the context of Industry 4.0. A novel virtual-real fusion commissioning method utilizing AR is proposed, enabling real-time commissioning and fusion display of the production process. The method was applied to the operation and commissioning of a specific production unit, resulting in significant reduction in commissioning cycle and space cost savings.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Industrial
Jingyan Xia, Ruyi Huang, Zhuyun Chen, Guolin He, Weihua Li
Summary: This paper proposes a digital twin-driven approach based on physical-virtual data fusion for enhancing gearbox fault diagnosis. By establishing a digital twin model and designing a data fusion method, the quality of training data can be improved, leading to improved fault diagnosis results.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Computer Science, Artificial Intelligence
Quanyong Zhang, Shengnan Shen, Hui Li, Wan Cao, Wen Tang, Jing Jiang, Mingxing Deng, Yunfan Zhang, Beikang Gu, Kangkang Wu, Kun Zhang, Sheng Liu
Summary: In the electronics manufacturing industry, digital twin technology plays a significant role in driving intelligent and digital production lines. This study successfully developed an intelligent production line for automotive MEMS pressure sensors driven by digital twin, achieving 24/7 unattended operation with a product yield above 98% and a takt time of less than 16 seconds.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Engineering, Marine
Qingcai Wu, Yunsheng Mao, Jianxun Chen, Chong Wang
Summary: Digital twin has attracted extensive attention for its potential in future interactions with physical and virtual worlds. This paper reviews the applications of digital twins in intelligent manufacturing, focusing on a digital twin-driven ship intelligent manufacturing system. Five main parts of the application framework are discussed, along with key enabling techniques and a case study in pipe machining production line to validate the proposed approach.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Industrial
Pei Wang, Ming Luo
Summary: Digital twin, as a key element in the Industrial Internet, bridges virtual and physical spaces effectively to enhance the development of smart factories. With the support of digital twin-based big data learning and analysis, the fusion of virtual and real spaces is deepened, promoting interaction and closed-loop optimization in smart manufacturing processes. The proposed reference framework, DT-BDVRL, guides the integration of digital and physical realms through Industrial Internet technology, providing a comprehensive solution for smart manufacturing development.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Chemistry, Analytical
Michal Balla, Oto Haffner, Erik Kucera, Jan Ciganek
Summary: This paper discusses the importance and application cases of digital twin technology in the Fourth Industrial Revolution, with a focus on its potential in discrete manufacturing events.
Article
Computer Science, Artificial Intelligence
Jinfeng Liu, Qiukai Ji, Xiaohu Zhang, Yu Chen, Yiming Zhang, Xiaojun Liu, Mingming Tang
Summary: This study proposes a solution for the problematic control of production tempo and process optimization in the welding process, by combining the characteristics of the digital twin for dynamic simulation and optimization. The proposed capacity evaluation and scheduling optimization system based on the digital twin model improves production efficiency by 7.27% for ship components.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Chemistry, Analytical
Krzysztof Lalik, Stanislaw Flaga
Summary: This paper introduces a new system architecture for controlling industrial devices using Mixed Reality applications and a new method for measuring the distance between real and virtual points. The research utilized a physical robot and its Digital Twin (DT), demonstrating the possibility of controlling them with gestures recognized by Mixed Reality goggles.
Article
Computer Science, Interdisciplinary Applications
Jielin Chen, Shuang Li, Xiaolong Leng, Changping Li, Rendi Kurniawan, Yein Kwak, Tae Jo Ko
Summary: A digital twin is an effective means of integrating physical and information aspects, and it has the potential to revolutionize the intelligence of cutting processes. This study introduces a bionic digital brain as the intelligent core of a digital twin-cutting process framework, which consists of digital neurons as the basic functional units. The digital neurons react and stimulate intelligent real-time computation, with the left brain receiving theoretical information and the right brain receiving actual perceptual information. By fusing the information from both brains, the digital neurons output optimal control solutions in real time. A case study demonstrates the powerful information processing capability and real-time precision machining effects of the bionic digital brain. The developed digital twin-cutting process system confirms the feasibility and effectiveness of the proposed framework, providing theoretical and technical references for the application and promotion of digital twin technology in cutting processes.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2023)