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

Complexity ◽  
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.

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

2021 ◽  
Author(s):  
Luyao Xia ◽  
Lu Jianfeng ◽  
Hao Zhang ◽  
Mengying Xu ◽  
Zhaojia Li ◽  
...  
Keyword(s):  
Hydraulic Cylinder ◽  
Intelligent Manufacturing ◽  
Construction Method ◽  
Smart Factory ◽  
Smart Manufacturing ◽  
Digital Twin ◽  
Twin System ◽  
Work In Process ◽  
Single Field ◽  
Short Time

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.

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

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.

scholarly journals Digital Technologies in the Smart Production Management System

2021 ◽  
Vol 93 ◽  
pp. 01024
Author(s):  
Evgeniy Starikov ◽  
Marina Evseeva ◽  
Irina Tkachenko
Keyword(s):  
Management System ◽  
Production Management ◽  
Manufacturing Sector ◽  
Digital Technologies ◽  
Digital Twin ◽  
Twin Model ◽  
Digital Twins ◽  
Industrial Internet ◽  
Production Management System ◽  
Twin Models

The article analyzes the possibility of using such digital technologies as the Industrial Internet of Things (IIoT), Big Data and the creation of models of digital twins in the formation of intelligent management systems for "smart" production within the framework of the concept of digital transformation of the manufacturing sector Industry 4.0. The essence and features of these technologies, problematic aspects of their implementation in real production enterprises are considered. The concept of the functional structure of the digital production management system of a "smart" enterprise based on the digital twin model is proposed. The conclusion is made about the integrating role of technologies for the development and application of digital twin models in the construction of intelligent control systems for "smart" production.

scholarly journals Augmented reality and digital twin system for interaction with construction machinery

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

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

Work ◽  
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.

ANALYSIS OF THE STRUCTURAL DYNAMICS OF THE DIGITAL ECONOMY IN TODAY'S REALITIES

2021 ◽  
Vol 14 (1) ◽  
pp. 40-47
Author(s):  
Tatуana Ivanovna LOMACHENKO ◽  
Keyword(s):  
Structural Dynamics ◽  
Digital Technology ◽  
Business Strategy ◽  
Production Management ◽  
Production Efficiency ◽  
Business Processes ◽  
Business Environment ◽  
Digital Economy ◽  
Digital Transformation ◽  
Evolutionary Stage

Nowadays, there is no consensus that digitalization is a threat to business security or an opportunity to comprehensively manage the entire chain of business processes in real time, taking into account incoming data from all assets. However, political and economic instability, demand volatility, and competition are all a set of global challenges that digital transformation has responded to. In industry, the competitive advantage has become not the ownership of the enterprise, the firm, but access to digital technology, on which the efficiency of work with specific resources depends. The processes of forming individual business segments related to production management based on modern digital technology have already been launched and most companies are focused on this direction. The article reveals the features of the evolutionary stage of digital economy development, presents the relationship of this process with the formation of the conceptual framework from the theoretical foundations, substantiated in the 1990s by foreign and domestic scientists to modern approaches in the interpretation of digital economy definitions. The article proposes the structural dynamics of the digital economy in today's realities, revealing internal problems, opportunities for economic growth, maturity and readiness of the state to new ways of doing business in the digital economy and digital transformation, to form the country's national strategy. In addition, the conditions under which digital transformation opens up new opportunities for the business environment, the public sector and society as a whole are presented. Changes in business strategy, organizational forms, business process capabilities, new approaches in working with clients, competitive advantages, increase in profit sources are analyzed. As a result, the efficiency of the whole system increases, which allows to reach a fundamentally new level of production efficiency in a short time.

scholarly journals 3D Digital Twin of Intelligent Transportation System based on Road-Side Sensing

2021 ◽  
Vol 2083 (3) ◽  
pp. 032022
Author(s):  
Yunpeng Guo ◽  
Kai Zou ◽  
Shengdong Chen ◽  
Feng Yuan ◽  
Fang Yu
Keyword(s):  
Virtual World ◽  
Intelligent Transportation System ◽  
Road Traffic ◽  
Intelligent Transportation ◽  
Physical World ◽  
Transportation System ◽  
Traffic Information ◽  
Digital Twin ◽  
Twin System ◽  
Infrastructure System

Abstract Cooperative vehicle-infrastructure is one of the most import developing direction of future intelligent transportation system, while digital twin system can record, reproduce, and even deduce the physical system, which could be helpful for the development of cooperative vehicle-infrastructure. In this study, we proposed a 3D digital twin platform of intelligent transportation system based on road-side sensing, a core component of cooperative vehicle-infrastructure system. This platform consists of real road-side sensing unit,3D virtual environment, and the ROS bridge between them, by receiving the sensing results of physical world in real-time, the virtual world can reproduce the compatible road traffic information, such as the type,3D position and orientation of traffic participants.

scholarly journals Dynamic safety measurement-control technology for intelligent connected vehicles based on digital twin system

2021 ◽  
Vol 37 ◽  
pp. 78-85
Author(s):  
Xingbin Chen ◽  
Peng Zhang ◽  
Xinhe Min ◽  
Nini Li ◽  
Wei Cao ◽  
...  
Keyword(s):  
Connected Vehicles ◽  
Control Technology ◽  
Digital Twin ◽  
Twin System ◽  
Measurement Control
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