Modeling of Cloud-Based Digital Twins for Smart Manufacturing with MT Connect

Hu, Liwen; Nguyen, Ngoc‐Tu; Tao, Wenjin; Leu, Ming C.; Liu, Xiaoqing Frank; Shahriar, Rakib; Sunny, S M Nahian Al

doi:10.1016/j.promfg.2018.07.155

Cited by 186 publications

(81 citation statements)

References 17 publications

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“…outside real production process (even before the production starts). Material scans are saved on cloud since it is commonly used method to process the data (Hu et al, 2018;Thames and Schaefer, 2016;Wan and Xia, 2017;Zhang, Zhang and Yan, 2018;Zhong et al, 2017), while the material is physically placed in warehouse. After the customer order is known, the software explores the scans on the cloud and determines a suitable strategy of further use of the material, with the aim to select material samples which achieve the highest efficiency if used for that specific order.…”

Section: Methodsmentioning

confidence: 99%

“…The benefits of automated data acquisition, such as automated derivation of optimisation measures and capturing of motion data are presented in Uhlemann et al (2017). The concept of digital twin can be used e. g. in CNC programs designed for punching machines (Moreno et al, 2017) in order to make the process of cutting more efficient (Botkina et al, 2018), into cyber-physical cloud manufacturing (CPCM) systems (Hu et al, 2018;Kunath and Winkler, 2018), into manufacturing cyber-physical system (MCPS) (Leng et al, 2018), in the cloud assisted cyber-physical systems (CPPS) (Nagy et al, 2018;Wan and Xia, 2017;Zhang, Zhang and Yan, 2018) in the smart process planning of the construction of the diesel engine parts (Liu et al, 2018), or could be helpful to support job scheduling in cyber-physical production systems. Many other applications of digital twins are mentioned in Kritzinger et al (2018), Negri, Fumagalli and Macchi (2017), Padovano et al (2018).…”

Section: Introductionmentioning

confidence: 99%

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Using Industry 4.0 Concept – Digital Twin – to Improve the Efficiency of Leather Cutting in Automotive Industry

2019

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Purpose: The aim of this study is to propose alternatives of increasing the efficiency of material selection and processing in the selected company and reduce costs and leather sustainability as a result.Methodology/Approach: In this case study, an automotive company processing a natural leather material that enters the process of a large-scale production was explored. For this purpose, the internal documents of the firm selected including its internal database and know-how of its employees were used. The ways of improving the efficiency of the material processing were proposed and tested in a digital environment. In the proposed solutions, Industry 4.0 principles were implemented.Findings: By the use of Digital twin and other Industry 4.0 principles and solutions in the process of material selection and processing in the company selected, the increased efficiency and cost savings were achieved.Research Limitation/implication: The solutions proposed in this paper were based on exploration of the chosen data set of the selected company. For the future research, testing of the given proposals in other companies should be conducted.Originality/Value of paper: Although there is an increasing number of publications describing the concept Industry 4.0, the research providing evidence of its benefits for business entities is still scarce. This paper offers such a research in the enterprise selected.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Using Industry 4.0 Concept – Digital Twin – to Improve the Efficiency of Leather Cutting in Automotive Industry

2019

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“…Прикладами можуть слугувати системи моніторингу технологічних процесів у фармацевтичній, автомобільній, нафтопереробній та інших галузях виробництва, зокрема й системи моніторингу у складі «розумного підприємства» [1]. Іншим важливим прикладом можуть слугувати моделі об'єктів за технологією цифрових двійників, яка наразі активно розвивається [2]- [5]. Технологія цифрових двійників розроблена, в першу чергу, для поведінкового та візуального моделювання критичних станів фізичного двійникаоб'єкта, для якого створено цифровий двійник [2], [4].…”

Section: вступunclassified

Multimodal Data Representation Model for Complex Description of Observation Objects

Dychka¹,

Sulema²

2020

VVPI

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“…Hu et al [4] propose a method for reduction of computing resources in the information processing center for efficient interactions between human users and physical machines.…”

Section: Analysis Of Recent Researches and Publicationsmentioning

confidence: 99%

Digital twin information technology for biomedical data complex representation and processing

Dychka¹,

Sulema²,

Bukhtiiarov³

2019

Вісник Херсонського національного технічного університету

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The paper presents an information technology of digital twin for implementation in healthcare, in particular in e-health and m-health applications. The primary objective of this research is to develop a concept of digital twin information technology for medical decision support systems. The second objective is to analyse various medical data formats and to develop an approach to synchronization of multimodal medical data. The approach proposed in the paper will enable aggregation of multimodal data sequences obtained from a wide range of medical diagnostic equipment with the purpose of a patient's digital twin creation. The paper presents an analysis of data synchronization possibility and data representation formats for both single-channel and multi-channel biological signals, results of such investigations as blood tests, ultrasound research, magnetic resonance imaging etc. Digital twin technology will enable development of a new generation of medical decision support systems. A digital twin of a patient is a synchronized and aggregated multimodal data set obtained from a wide range of diagnostic medical equipment which is continuously updated and based on a personalized semantic modal of a patient. Since data are obtained from different medical devices and tools in various formats which directly do not fit for data synchronization and aggregation, the format of a file-wrapper that enables storing time characteristics of medical investigations (time stamps) in an evident form. It allows us to simplify a procedure of multimodal data aggregation while creating and continuous updating the digital twin of a patient. The process of digital twin forming includes the following stages: receiving of original data files in a device format (sonographic device, MRI scanner, electrocardiograph etc.), analysis of data and their time stamps, transformation of the original file to the format of a file-wrapper, data synchronization and aggregation, representation of multimodal data in a digital twin format for further storing and processing.

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Modeling of Cloud-Based Digital Twins for Smart Manufacturing with MT Connect

Cited by 186 publications

References 17 publications

Using Industry 4.0 Concept – Digital Twin – to Improve the Efficiency of Leather Cutting in Automotive Industry

Using Industry 4.0 Concept – Digital Twin – to Improve the Efficiency of Leather Cutting in Automotive Industry

Multimodal Data Representation Model for Complex Description of Observation Objects

Digital twin information technology for biomedical data complex representation and processing

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