Research on Construction Method of Digital Twin Workshop Based on Digital Twin Engine

Xia, Luyao; Lu, Jianfeng; Zhang, Hao

doi:10.1109/aeeca49918.2020.9213649

Cited by 18 publications

(3 citation statements)

References 5 publications

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“…DT is a virtual and dynamic model enabled through a data flow that creates highly reliable models with interconnection and fusion between the physical system and the created digital representation. These models contain all the information of the physical system and are fully integrated to exchange information in both directions [41,42]. The integration between IoT and data analytics simulates the physical counterpart's characteristics, behavior, and performance by prediction, optimization, monitoring, control, and decision-making in real-time [43,44].…”

Section: Digital Twinmentioning

confidence: 99%

Digital Twin to Control and Monitor an Industrial Cyber-Physical Environment Supported by Augmented Reality

Caiza

Sanz

2023

Applied Sciences

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Increasing industrial development and digital transformations have given rise to a technology called Digital Twin (DT) that has the potential to break the barrier between physical and cyberspace. DT is a virtual and dynamic model enabled through a bidirectional data flow that creates high-reliability models with interconnection and fusion between the physical and digital systems for full integration. In smart manufacturing, this technology is increasingly used in research and industry. However, the studies conducted do not provide a definition or a single integrally connected model. To develop the Digital Twin shown in this research, the literature was reviewed to learn about the enabling technologies and architectures used at the industrial level. Then, a methodology was used to obtain the physical process information, create the digital environment, communicate the physical environment, apply simulation models in the digital environment, and parameterize the simulation environment with the physical process in real-time to obtain the digital twin supported with augmented reality. The system was implemented in the MPS-500 modular production station that has industrial sensors and actuators. The virtual environment was designed with Blender and Vuforia to create the augmented reality environment. In the proposed methodology, robust devices (field and control level) and low-cost embedded systems were used for the creation and communication of the virtual environment (monitoring and control); for the joint work of these technologies, they were carried out through the use of the following protocols: Open Platform Communications United Architecture (OPC UA), Ethernet, and machine to machine (M2M), with which a communication was achieved between the different levels of the automation pyramid. The results show that the proposed methodology for the implementation of the DT allows bidirectional communication between the physical and virtual environment and can also be visualized with the support of AR, thus providing its characteristics to the proposed DT. Digital Twin is an essential factor in creating virtual environments and improving applications between the real and digital world, establishing a bidirectional communication through the Ethernet protocol, with a communication time of approximately 100 ms. This technology interacts with the virtual environment and performs mappings, thus achieving timely and dynamic adjustment. This improves data management and production and incorporates process simulation and physical control in real-time, allowing to execute and trigger actions in the physical equipment simultaneously.

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Section: Digital Twinmentioning

confidence: 99%

Digital Twin to Control and Monitor an Industrial Cyber-Physical Environment Supported by Augmented Reality

Caiza

Sanz

2023

Applied Sciences

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“…After hyper-realistic modeling and statistical analysis, the virtual factory can simultaneously simulate and monitor the operating state of the physical factory. In the product manufacturing stage, the product status data and real-time production data are collected through sensors, and transmitted to the digital twin engine [29] in the digital twin system through the network of the production system for data processing, data storage and data analysis, so as to realize the realtime mapping between the production process in the physical factory and SFDTS. The operation analysis results of production data operation feedback to the production site in the way of information transparency, and actively guide the production activities of physical factory to change in the direction of the target.…”

Section: Physical Factorymentioning

confidence: 99%

A DTMEs-Based Digital Twin System Construction Method For Smart Factory

Xia

Zhang

et al. 2021

Preprint

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Many enterprises have built their own digital twin factory model for physical factory planning, simulation optimization and real-time monitoring. However, the digital twin system, which has a single field, a short time cycle and unsinkable service, cannot fully reflect the interaction and integration of the physical and information world required by intelligent manufacturing. Therefore, the research on the construction method of the smart factory digital twin system with cross-domain and multi-model has an important influence on the application of smart manufacturing. In view of the above problems, this paper proposes the concept and composition of digital twin manufacturing ecosystem (DTMEs) based on the requirements and characteristics of product lifecycle, and analyzes the construction requirements of DTMEs for factory digital twin system, product digital twin system and supply chain digital twin system from the perspective of lifecycle. Finally, the smart factory digital twin system architecture is applied to the digital and intelligent upgrading of the hydraulic cylinder factory. The experimental results show that the intelligent improvement of the hydraulic factory, the reduction of Work-in-process inventory and the advance of delivery time, and prove the feasibility and effectiveness of the smart factory digital twin system.

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“…Through the continuous discussion of the concept and definition of the digital twin, it is clear that the objects it applies to different fields are different, among which digital twins refers to whole physical entities and their digital drives [ 36 ]. At present, the applications of digital twin technology in supply-chain systems are mostly focused on product design [ 37 ], shop floor monitoring and forecasting [ 38 ], and product line management [ 39 ]. However, the applicability to multi-cascade supply-chain systems has not been thoroughly studied, which is the final research objective for this article.…”

Section: Introductionmentioning

confidence: 99%

Research on Real-Time Robust Optimization of Perishable Supply-Chain Systems Based on Digital Twins

Zhang

et al. 2023

Sensors

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Aiming at the real-time robust optimization problem of perishable supply-chain systems in complex environments, a real-time robust optimization scheme based on supply-chain digital twins is proposed. Firstly, based on the quantitative logical relationship between production and sales of single-chain series supply-chain system products, the state space equation of the supply-chain system with logical characteristics, structural characteristics, and quantitative characteristics was constructed, and twin data were introduced to construct the digital twins of supply chains based on the state-space equation. Secondly, the perishable supply-chain system in complex environments was regarded as an uncertain closed-loop system from the perspective of the state space equation, and then a robust H∞ controller design strategy was proposed, and the supply-chain digital twins was used to update and correct the relevant parameters of the supply-chain system in real-time, to implement the real-time robust optimization based on the supply-chain digital twins. Finally, the simulation experiment was carried out with a cake supply-chain production as an example. The experimental results show that the real-time updating of relevant parameters through the digital twins can help enterprise managers to formulate reasonable management plans, effectively avoid the shortage problem of enterprises in the cake supply-chain system, and reduce the maximum inventory movement standard deviation of each link by 12.65%, 6.50%, and 14.87%, and the maximum production movement standard deviation by 70.21%, 56.84%, and 45.19%.

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Research on Construction Method of Digital Twin Workshop Based on Digital Twin Engine

Cited by 18 publications

References 5 publications

Digital Twin to Control and Monitor an Industrial Cyber-Physical Environment Supported by Augmented Reality

Digital Twin to Control and Monitor an Industrial Cyber-Physical Environment Supported by Augmented Reality

A DTMEs-Based Digital Twin System Construction Method For Smart Factory

Research on Real-Time Robust Optimization of Perishable Supply-Chain Systems Based on Digital Twins

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