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A Hierarchical Integrated Modeling Method for the Digital Twin of Mechanical Products

Menglei Zheng, Ling Tian
2021 Machines  
In this context, we propose a native, full-element digital twin modeling method for mechanical products.  ...  a graph database efficiently.  ...  [50] further proposed a question-and-answer method for model-based systems engineering based on knowledge graph modeling.  ... 
doi:10.3390/machines10010002 fatcat:zkrsyavc3ff6bmczdeflykim5q

On event-driven knowledge graph completion in digital factories

Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kroger
2017 2017 IEEE International Conference on Big Data (Big Data)  
., in the form of knowledge graphs.  ...  We evaluate this on the knowledge graph from a real world-inspired smart factory with encouraging results.  ...  Challenges with Knowledge Graphs Creating and maintaining a KG of good quality is a challenging task and an important bottleneck for the adoption of digital twins in industry [RLLK17] : due to the Big  ... 
doi:10.1109/bigdata.2017.8258105 dblp:conf/bigdataconf/RingsquandlKSLL17 fatcat:zsujquk2gve7fc4ut3463kqdbu

A graph-based knowledge representation and pattern mining supporting the Digital Twin creation of existing manufacturing systems [article]

Dominik Braun, Timo Müller, Nada Sahlab, Nasser Jazdi, Wolfgang Schloegl, Michael Weyrich
2022 arXiv   pre-print
The creation of a Digital Twin for existing manufacturing systems, so-called brownfield systems, is a challenging task due to the needed expert knowledge about the structure of brownfield systems and the  ...  A Digital Twin requires linked information from multiple sources. This paper presents a graph-based approach to merge information from heterogeneous sources.  ...  The methodology (according to [6] ) for an automated creation of the Digital Twin (according to [8] ) of brownfield production systems In the overall methodology, the resulting knowledge base can finally  ... 
arXiv:2209.10258v1 fatcat:nuj5inw665hqvajfzatgifasla

Graph Learning for Cognitive Digital Twins in Manufacturing Systems [article]

Trier Mortlock, Deepan Muthirayan, Shih-Yuan Yu, Pramod P. Khargonekar, Mohammad A. Al Faruque
2021 arXiv   pre-print
This paper presents graph learning as one potential pathway towards enabling cognitive functionalities in manufacturing digital twins.  ...  A novel approach to realize cognitive digital twins in the product design stage of manufacturing that utilizes graph learning is presented.  ...  Thus, memory (both working memory and the remembered episodes and knowledge), are an essential ingredient for the algorithms complementing the digital twin to autonomously control the physical processes  ... 
arXiv:2109.08632v1 fatcat:63kqrdg2hzakpj3jplptuayyjy

Table of Contents

2022 IEEE Transactions on Industrial Informatics  
Jeon 1359 A Graph Neural Network-Based Digital Twin for Network Slicing Management . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Li 1345 SPECIAL SECTION ON DIGITAL TWINNING: INTEGRATING AI-ML AND BIG DATA ANALYTICS FOR VIRTUAL REPRESENTATION Guest Editorial: Digital Twinning: Integrating AI-ML and Big Data Analytics for Virtual  ... 
doi:10.1109/tii.2021.3119244 fatcat:uugmz2difrdhrjdz4zzs4ttsci

Generating Digital Twin Models using Knowledge Graphs for Industrial Production Lines

Agniva Banerjee, Raka Dalal, Sudip Mittal, Karuna Pande Joshi
2017 Proceedings of the 2017 ACM on Web Science Conference  
Digital Twin models are computerized clones of physical assets that can be used for in-depth analysis.  ...  In this paper we introduce a simple way of formalizing knowledge as digital twin models coming from sensors in industrial production lines.  ...  Digital Twin is quickly becoming the cornerstone for manufacturing process management. e concept of creating a virtual, digital equivalent to a physical product or a 'Digital Twin' was introduced in 2003  ... 
doi:10.1145/3091478.3162383 fatcat:m3ljl5nkzvbohjeyjsafdt5ifa

Numerical Analysis of Digital Twin System Modeling Methods Aided by Graph-Theoretic Combinatorial Optimization

Sujing Zhou, Gengxin Sun
2022 Discrete Dynamics in Nature and Society  
support for safe, stable, and economic operation of the system, proposes a solution for digital twin model based on big data platform, focuses on the nearest neighbor propagation (AP) and graph theory  ...  This paper provides new ideas and approaches for optimal numerical analysis work by studying the digital twin modeling method that integrates digital modeling and graph theory combination, provides theoretical  ...  twin model for graph theory combination based on big data platform is proposed [8] .  ... 
doi:10.1155/2022/8598041 fatcat:ndzpje7y35hgzd22najql3snju

Digital Twin-Assisted Simulation of Complex Assembly Models in Descending Process and Implementation of Key Link Characterization

Zhuqiao Ma, Yifei Tong, Linyan Liu, Lei Huang, Juntang Yuan, Gengxin Sun
2021 Journal of Sensors  
In this paper, the simulation and key link characterization of the complex assembly model step-down process are studied and analysed in depth using the digital twin approach, and the method is used in  ...  assembly of thin-walled parts, and optimization of low-stress assembly of bolted joint structure, which verifies the feasibility of the method and provides guidance for the actual product forming process  ...  Digital Twin-Assisted Simulation Analysis of Complex Assembly Models for Step-Down Processes 3.1. Simulation Design of Digital Twin Assembly Model.  ... 
doi:10.1155/2021/2166075 fatcat:noy6zsdyt5h5vdu7tdy52d5sq4

Towards Semantic Integration of Machine Vision Systems to Aid Manufacturing Event Understanding

Kaishu Xia, Clint Saidy, Max Kirkpatrick, Noble Anumbe, Amit Sheth, Ramy Harik
2021 Sensors  
Moreover, extracted signals are interpreted by Programmable Logical Controllers (PLCs) and field devices for cognitive automation towards fully autonomous industrial systems.  ...  Semantic integration of process indicators is fundamental to the success of such implementation.  ...  Acknowledgments: The authors are grateful for the software and hardware donations received from industrial partners Siemens USA, Yaskawa Motoman Robotics, and IBM.  ... 
doi:10.3390/s21134276 pmid:34206522 fatcat:qc757wsldbegvlvyh4zaug2nee

Framework approach for smart service development

Serdar Bulut, Reiner Anderl
2021 Procedia CIRP  
The aim is to cluster these products in new assembly oriented product families for the optimization of existing assembly lines and the creation of future reconfigurable assembly systems.  ...  This fact impedes an efficient comparison and choice of appropriate product family combinations for the production system.  ...  The refining layer describes all processes within the digital twin and maps its information flow for aggregating smart services.  ... 
doi:10.1016/j.procir.2021.05.030 fatcat:rnz5ab4zzva7rd6uoz3btgga4e

Digital Twin of Experimental Smart Manufacturing Assembly System for Industry 4.0 Concept

Kamil Židek, Ján Piteľ, Milan Adámek, Peter Lazorík, Alexander Hošovský
2020 Sustainability  
Virtual digital twins can be used for online optimization of an assembly process without the necessity to stop that is involved in a production line.  ...  Cloud platforms are used for data mining and knowledge representation in timeline graphs, with some alarms and automatized protocol generation.  ...  knowledge, which is specific to every production process.  ... 
doi:10.3390/su12093658 fatcat:nrbsv63bsfgghbzkjvir2ymdne

Automated data-driven creation of the Digital Twin of a brownfield plant [article]

Dominik Braun, Wolfgang Schloegl, Michael Weyrich
2022 arXiv   pre-print
However, digital models as the basis of a Digital Twin are usually missing for these plants.  ...  Finally, a proof of concept shows that process data and position data as data sources deliver the relations between the models of the Digital Twin.  ...  The resulting knowledge graph is independent from the architecture used for the implementation and can be mapped into manufacturer-specific software systems to build a Digital Twin.  ... 
arXiv:2209.08821v2 fatcat:woyn5vji2fhkpb7m3uj7splnue

Pipeline for ontology-based modeling and automated deployment of digital twins for planning and control of manufacturing systems

Mirko Robin Amon Göppert, Lea Grahn, Jonas Sebastian Rachner, Dennis Grunert, Simon Hort, Robert H. Schmitt
2021 Journal of intelligent manufacturing (2021). doi:10.1007/s10845-021-01860-6  
A digital model must follow a standardization for interoperable data exchange.  ...  The planning and control of a line-less assembly system with manual stations and a mobile robot as resources and an industrial dog as the product serve as exemplary digital twin applications.  ...  The authors are responsible for the content.  ... 
doi:10.18154/rwth-2021-11165 fatcat:pjpvlp32ubhmlfau4jwzs45koq

Distributed Manufacturing Systems with Digital Agent

Niko Herakovič, Hugo Zupan, Miha Pipan, Jernej Protner, Marko Šimic
2019 Strojniski vestnik  
The manufacturing node network is controlled globally using the global digital twin of logistics process and locally using the local nodes and local digital agents, digital twins and information shared  ...  This paper presents a novel approach to implement manufacturing nodes using the combined strength of digital twins, holons, and digital agents.  ...  by digital agents and local digital twins in coordination with a global digital twin of the process.  ... 
doi:10.5545/sv-jme.2019.6331 fatcat:yv3lmgrsejf65mm54xvmg22req

Digital twin: revealing potentials of real-time autonomous decisions at a manufacturing company

Julia Feldt, Thanos Kourouklis, Henning Kontny, Axel Wagenitz
2020 Procedia CIRP  
In order to resolve those issues for a manufacturing company, we created the assembly digital twin i.e.  ...  In order to resolve those issues for a manufacturing company, we created the assembly digital twin i.e.  ...  For more information about the ongoing research, refer to the following website: www.haw-hamburg.de/bil.html  ... 
doi:10.1016/j.procir.2020.05.033 fatcat:7ea3irgkabfavkwgdso2zwo5nu
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