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

Abstract 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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A Study on Intelligent Manufacturing Industrial Internet for Injection Molding Industry Based on Digital Twin

Complexity ◽

10.1155/2021/8838914 ◽

2021 ◽

Vol 2021 ◽

pp. 1-16

Author(s):

Zhiyong Wang ◽

Wei Feng ◽

Junlin Ye ◽

Jinbiao Yang ◽

Chun Liu

Keyword(s):

Injection Molding ◽

Production Management ◽

Production Efficiency ◽

Intelligent Manufacturing ◽

Management Control ◽

Smart Factory ◽

Digital Twin ◽

Intelligent Control System ◽

Twin System ◽

Industrial Internet

As one of the basic manufacturing industries in China, injection molding industry is faced with the problems of low degree of informatization and intelligence, resulting in low production efficiency and high costs. It is urgent to integrate deeply with new generation of information technology to achieve transformation and upgrade. In this paper, an integrative industrial Internet architecture of “integration of intelligent equipment, intelligent production lines, intelligent workshops, intelligent factories, and intelligent formats” was described. The injection molding intelligent control system, the production management, control platform based on the MES system, and other key technologies were researched. Also, the smart factory architecture based on digital twin was established, and the implementation method of the smart factory digital twin system was elaborated. The feasibility and effectiveness of the method had been verified through the industrial application, which provided the technical supports for the injection molding industrial Internet system. Finally, the intelligent manufacturing industrial Internet cloud platform for injection molding industry was prospected.

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A Wire Rod Rolling Mill Digital Twin for the Simulation of the Rolls Replacement Process

Proceedings ◽

10.3390/proceedings2020063013 ◽

2020 ◽

Vol 63 (1) ◽

pp. 13

Author(s):

Ana María Valdeón Junquera ◽

Javier García González ◽

Joaquín Manuel Villanueva Balsera ◽

Vicente Rodríguez Montequín

Keyword(s):

Rolling Mill ◽

Intelligent Manufacturing ◽

Smart Manufacturing ◽

Production Lines ◽

Human Decision Process ◽

Digital Twin ◽

Wire Rod ◽

Replacement Process ◽

Human Decision ◽

Rod Rolling

Smart Manufacturing is a goal to be achieved, and the most advanced manufacturing approaches are being used to pursue this objective. Within this context, industry development aims to attain an intelligent manufacturing using, for example, virtual models that simulate production lines. This paper presents the architecture of a Digital Twin for emulating the rolls replacement process within a wire rod rolling mill. The model is developed in Python, using a backtracking algorithm to select the suitable set of rolls as a first basic approach for the validation of the system. It may be used in the future to improve the production system automating the decision for the replacement of rolls as alternative to the current human-decision process.

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Design and Optimization of Smart Factory Control System Based on Digital Twin System Model

Mathematical Problems in Engineering ◽

10.1155/2021/2596946 ◽

2021 ◽

Vol 2021 ◽

pp. 1-16

Author(s):

Yan Bai ◽

Jeong-Bong You ◽

Il-Kyoo Lee

Keyword(s):

Production Line ◽

Manufacturing Industry ◽

Technical Support ◽

Smart Factory ◽

Optimal Control Strategy ◽

Actual System ◽

Processing Scheme ◽

Digital Twin ◽

Twin System ◽

Low Efficiency

Aiming at the problems of irrational allocation of resources, low efficiency caused by unbalanced production line layout, and slow production line upgrade of the smart factory, this paper builds a real physical smart factory platform through the optimal control strategy and uses the GRAFCET algorithm to optimize the logistics scheduling during the actual system operation. The genetic algorithm is used to optimize the layout effect of the production line; the digital twin technology is used to provide predictive analysis technical support for the upgrading and reengineering of the production line. Through the analysis and comparison of the production capacity and equipment utilization of the physical smart factory and the virtual smart factory processing scheme, practice shows that the design of the digital twin system can effectively improve the effect and accuracy of the lean production method in the production process reorganization. Quantitative analysis of manufacturing industry provides powerful theoretical and technical support.

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Data Construction Method for the Applications of Workshop Digital Twin System

Journal of Manufacturing Systems ◽

10.1016/j.jmsy.2020.02.003 ◽

2020 ◽

Cited By ~ 7

Author(s):

Tianxiang Kong ◽

Tianliang Hu ◽

Tingting Zhou ◽

Yingxin Ye

Keyword(s):

Construction Method ◽

Digital Twin ◽

Twin System

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Digital twin and blockchain enhanced smart manufacturing service collaboration and management

Journal of Manufacturing Systems ◽

10.1016/j.jmsy.2020.11.008 ◽

2020 ◽

Author(s):

Fei Tao ◽

Yongping Zhang ◽

Ying Cheng ◽

Jiawei Ren ◽

Dongxu Wang ◽

...

Keyword(s):

Smart Manufacturing ◽

Digital Twin ◽

Service Collaboration

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Implementation of MQTT protocol based network architecture for smart factory

Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture ◽

10.1177/09544054211014488 ◽

2021 ◽

pp. 095440542110144

Author(s):

Chia-Shin Yeh ◽

Shang-Liang Chen ◽

I-Ching Li

Keyword(s):

Machine Tool ◽

Gesture Recognition ◽

Manufacturing Process ◽

Network Architecture ◽

Information Management System ◽

Edge Computing ◽

Smart Factory ◽

Smart Manufacturing ◽

Industrial Iot ◽

Computing Module

The core concept of smart manufacturing is based on digitization to construct intelligent production and management in the manufacturing process. By digitizing the production process and connecting all levels from product design to service, the purpose of improving manufacturing efficiency, reducing production cost, enhancing product quality, and optimizing user experience can be achieved. To digitize the manufacturing process, IoT technology will have to be introduced into the manufacturing process to collect and analyze process information. However, one of the most important problems in building the industrial IoT (IIoT) environment is that different industrial network protocols are used for different equipment in factories. Therefore, the information in the manufacturing process may not be easily exchanged and obtained. To solve the above problem, a smart factory network architecture based on MQTT (MQ Telemetry Transport), IoT communication protocol, is proposed in this study, to construct a heterogeneous interface communication bridge between the machine tool, embedded device Raspberry Pi, and website. Finally, the system architecture is implemented and imported into the factory, and a smart manufacturing information management system is developed. The edge computing module is set up beside a three-axis machine tool, and a human-machine interface is built for the user controlling and monitoring. Users can also monitor the system through the dynamically updating website at any time and any place. The function of real-time gesture recognition based on image technology is developed and built on the edge computing module. The gesture recognition results can be transmitted to the machine controller through MQTT, and the machine will execute the corresponding action according to different gestures to achieve human-robot collaboration. The MQTT transmission architecture developed here is validated by the given edge computing application. It can serve as the basis for the construction of the IIoT environment, assist the traditional manufacturing industry to prepare for digitization, and accelerate the practice of smart manufacturing.

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Augmented reality and digital twin system for interaction with construction machinery

Journal of Asian Architecture and Building Engineering ◽

10.1080/13467581.2020.1869557 ◽

2021 ◽

pp. 1-12

Author(s):

Syed Mobeen Hasan ◽

Kyuhyup Lee ◽

Daeyoon Moon ◽

Soonwook Kwon ◽

Song Jinwoo ◽

...

Keyword(s):

Augmented Reality ◽

Construction Machinery ◽

Digital Twin ◽

Twin System

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Industrial internet of things for smart manufacturing applications using hierarchical trustful resource assignment

Work ◽

10.3233/wor-203429 ◽

2021 ◽

pp. 1-11

Author(s):

Duan Pingli ◽

Bala Anand Muthu ◽

Seifedine Nimer Kadry

Keyword(s):

Internet Of Things ◽

Manufacturing Industry ◽

Production Systems ◽

Intelligent Manufacturing ◽

Smart Manufacturing ◽

The Internet ◽

Resource Assignment ◽

Industrial Internet Of Things ◽

Assignment Method ◽

Industrial Internet

BACKGROUND: The manufacturing industry undergoes a new age, with significant changes taking place on several fronts. Companies devoted to digital transformation take their future plants inspired by the Internet of Things (IoT). The IoT is a worldwide network of interrelated physical devices, which is an essential component of the internet, including sensors, actuators, smart apps, computers, mechanical machines, and people. The effective allocation of the computing resources and the carrier is critical in the industrial internet of Things (IIoT) for smart production systems. Indeed, the existing assignment method in the smart production system cannot guarantee that resources meet the inherently complex and volatile requirements of the user are timely. Many research results on resource allocations in auction formats which have been implemented to consider the demand and real-time supply for smart development resources, but safety privacy and trust estimation issues related to these outcomes are not actively discussed. OBJECTIVES: The paper proposes a Hierarchical Trustful Resource Assignment (HTRA) and Trust Computing Algorithm (TCA) based on Vickrey Clarke-Groves (VGCs) in the computer carriers necessary resources to communicate wirelessly among IIoT devices and gateways, and the allocation of CPU resources for processing information at the CPC. RESULTS: Finally, experimental findings demonstrate that when the IIoT equipment and gateways are valid, the utilities of each participant are improved. CONCLUSION: This is an easy and powerful method to guarantee that intelligent manufacturing components genuinely work for their purposes, which want to integrate each element into a system without interactions with each other.

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Digital Twin for Smart Manufacturing: The Practitioner’s Perspective

Volume 2B: Advanced Manufacturing ◽

10.1115/imece2020-24037 ◽

2020 ◽

Author(s):

Maja Bärring ◽

Björn Johansson ◽

Goudong Shao

Keyword(s):

Conceptual Development ◽

Production Systems ◽

Manufacturing Sector ◽

Smart Manufacturing ◽

Digital Twin ◽

Adoption And Implementation ◽

New Information ◽

Digital Twins ◽

Discrete Manufacturing ◽

Design Production

Abstract The manufacturing sector is experiencing a technological paradigm shift, where new information technology (IT) concepts can help digitize product design, production systems, and manufacturing processes. One of such concepts is Digital Twin and researchers have made some advancement on both its conceptual development and technological implementations. However, in practice, there are many different definitions of the digital-twin concept. These different definitions have created a lot of confusion for practitioners, especially small- and medium-sized enterprises (SMEs). Therefore, the adoption and implementation of the digital-twin concept in manufacturing have been difficult and slow. In this paper, we report our findings from a survey of companies (both large and small) regarding their understanding and acceptance of the digital-twin concept. Five supply-chain companies from discrete manufacturing and one trade organization representing suppliers in the automotive business were interviewed. Their operations have been studied to understand their current digital maturity levels and articulate their needs for digital solutions to stay competitive. This paper presents the results of the research including the viewpoints of these companies in terms of opportunities and challenges for implementing digital twins.

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