Conceptual digital twin modeling based on an integrated five-dimensional framework and TRIZ function model

Wu, Chunlong; Zhou, Youcheng; Pessôa, Marcus Vinicius Pereira; Peng, Qingjin; Tan, Runhua

doi:10.1016/j.jmsy.2020.07.006

Cited by 101 publications

(27 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Based on the physical entity, virtual digital model and three-dimensional architecture of interactive connection, Tao Fei et al [29] introduced the twin database and service platform to establish the five-dimensional DTm. Wu et al [30] proposed a conceptual modeling method of DT based on the five-dimension DT framework to represent the complex relationship between DT and their attributes and conducted class verification through the concept level modeling of DT for intelligent vehicles. Pei Wang et al [31] proposed a big data virtual and real fusion framework for intelligent manufacturing based on DT and designed the framework comprehensively from three perspectives, such as the overall framework supported by the industrial Internet.…”

Section: Digital Twinmentioning

confidence: 99%

A Framework for Prefabricated Component Hoisting Management Systems Based on Digital Twin Technology

2022

View full text Add to dashboard Cite

The hoisting of prefabricated components (PCs) is a key step during the construction of prefabricated buildings. Aiming at the problems existing in the control of PC hoisting, an innovative hoisting management system framework based on the digital twin (DT) is established in this paper. The system framework comprehensively utilizes the building information model (BIM) and Internet of Things (IoT) to establish a digital twin model (DTm) for PC hoisting control and uses Dijkstra’s algorithm to conduct hoisting route planning according to the BIM data in the model. Meanwhile, long-range radio (LoRa) technology was used for data acquisition and transmission to monitor the movement state of the PCs in the hoisting process. By testing it in a prefabricated building project, the DT control method was conducted to realize the functions of real-time information collection, hoisting path planning and PC positioning, which proved the feasibility and effectiveness of the method. As a key technology to realize intelligent manufacturing, DT has been widely studied in academia. The DTm of the hoisting process of PCs is established in this study; it improves the level of intelligent management of prefabricated building construction and provides a new idea for intelligent building construction.

show abstract

Section: Digital Twinmentioning

confidence: 99%

A Framework for Prefabricated Component Hoisting Management Systems Based on Digital Twin Technology

2022

View full text Add to dashboard Cite

show abstract

“…In the three-dimensional model, DT has three core components: physical space, virtual space, and connection. In addition to the core components of the three-dimensional model, the five-dimensional model has two extra components: data and service [15,16,17]. Further, enabling technologies of DTs have been classified into five categories based on the core components of the five-dimensional framework [11] and [17], i.e., physical entity, virtual model, service, connection, and data management.…”

Section: Digital Twinsmentioning

confidence: 99%

Applying Digital Twin Technology in Higher Education: An Automation Line Case Study

Eriksson

Alsaleh

Far

et al. 2022

Advances in Transdisciplinary Engineering

View full text Add to dashboard Cite

Production systems are being expanded to include Digital Twins (DTs) as part of increased industrial digitalization. DTs can bring benefits e.g., increase visibility, safety, and accessibility of the system. Further, digital experimentation can reduce time and cost. Though, application of DT technologies involves challenges i.e., model accuracy or errors in transferring data or codes between the DT and the physical twin. Many studies on DTs focus on industrial applications. However, DT technology has potential for implementation of digital labs in education. This aspect of DTs is of rising importance as distance education has increased over the last decade and access to physical laboratories can be restricted due to factors such as the Covid-19 pandemic. Thus, there is a need to study the use of DT technology in higher education. To address this, we investigate possibilities and challenges of applying DT technology in education to conduct industrial-like labs virtually. A case of an automation line, with full scale industrial equipment, based at a research center, is focused. Results emphasize that the application of DT technologies require multi-domain expertise to understand the consequences of every single decision in the design process on every piece of equipment involved, making the modelling process complex and time consuming. Thus, when applied in education, test procedures need to be designed to focus on students’ motivation, improved learning and understanding of production systems. DTs are considered enabling technologies supporting the concept of Industry 5.0, thus stressing the human-centric aspects of advancing Industry 4.0. The predicted application of DTs emphasizes the need for educational curricula that include laboratory applications and theoretic understanding of DT technologies. This study focusses the application of DT technologies in higher education curricula, but the result of the study can contribute to other areas such as automation and virtual commissioning towards smarter manufacturing.

show abstract

“…In addition to this, there have been different approaches and methods used by other researchers for the implementation of a digital twin. In a recent paper, a research group conceptualized a digital twin with a five-dimensional framework [28] that represents the complex relationship between digital twin objects and their attributes. In another work, a reference model for a digital twin was introduced, where it is provided as a service, Digital Twin as a Service (DTaaS) in Industry 4.0 [29].…”

Section: Related Workmentioning

confidence: 99%

Digital Twin for FANUC Robots: Industrial Robot Programming and Simulation Using Virtual Reality

2021

View full text Add to dashboard Cite

A Digital Twin is the concept of creating a digital replica of physical models (such as a robot). This is similar to establishing a simulation using a robot operating system (ROS) or other industrial-owned platforms to simulate robot operations and sending the details to the robot controller. In this paper, we propose a Digital Twin model that assists in the online/remote programming of a robotic cell by creating a 3D digital environment of a real-world configuration. Our Digital Twin model consists of two components, (1) a physical model: FANUC robot (M-10iA/12), and (2) a digital model: Unity (a gaming platform) that comes with specialized plugins for virtual and augmented reality devices. One of the main challenges in the existing approach of robot programming is writing and modifying code for a robot trajectory that is eased in our framework using a Digital Twin. Using a Digital Twin setup along with Virtual Reality, we observe the trajectory replication between digital and physical robots. The simulation analysis provided a latency of approximately 40 ms with an error range of −0.28 to 0.28∘ across the robot joint movements in a simulation environment and −0.3 to 0.3∘ across the actual robot joint movements. Therefore, we can conclude that our developed model is suitable for industrial applications.

show abstract

Conceptual digital twin modeling based on an integrated five-dimensional framework and TRIZ function model

Cited by 101 publications

References 31 publications

A Framework for Prefabricated Component Hoisting Management Systems Based on Digital Twin Technology

A Framework for Prefabricated Component Hoisting Management Systems Based on Digital Twin Technology

Applying Digital Twin Technology in Higher Education: An Automation Line Case Study

Digital Twin for FANUC Robots: Industrial Robot Programming and Simulation Using Virtual Reality

Contact Info

Product

Resources

About