scholarly journals Archetypes of Digital Twins

2021 ◽  
Author(s):  
Hendrik van der Valk ◽  
Hendrik Haße ◽  
Frederik Möller ◽  
Boris Otto
Keyword(s):  
Mechanical Engineering ◽  
Data Linkage ◽  
Use Cases ◽  
Use Case ◽  
Literature Analysis ◽  
Virtual Objects ◽  
Digital Twin ◽  
Digital Twins ◽  
Individual Use

AbstractCurrently, Digital Twins receive considerable attention from practitioners and in research. A Digital Twin describes a concept that connects physical and virtual objects through a data linkage. However, Digital Twins are highly dependent on their individual use case, which leads to a plethora of Digital Twin configurations. Based on a thorough literature analysis and two interview series with experts from various electrical and mechanical engineering companies, this paper proposes a set of archetypes of Digital Twins for individual use cases. It delimits the Digital Twins from related concepts, e.g., Digital Threads. The paper delivers profound insights into the domain of Digital Twins and, thus, helps the reader to identify the different archetypical patterns.

Exploring applicability, interoperability and integrability of Blockchain-based digital twins for asset life cycle management

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christopher Santi Götz ◽  
Patrik Karlsson ◽  
Ibrahim Yitmen
Keyword(s):  
Life Cycle ◽  
Management Practice ◽  
Life Cycle Management ◽  
Use Cases ◽  
Content Type ◽  
Digital Twin ◽  
Digital Twins ◽  
Current Asset ◽  
User Expectations ◽  
Technological Platform

PurposeThe blockchain-based digital twin has been recognized as a prominent technological ecosystem featuring synergies with both established and emergent information management practice. The purpose of this research is to explore the applicability, interoperability and integrability of a blockchain-based digital twin for asset life cycle management and develop a model of framework which positions the digital twin within a broader context of current management practice and technological availability.Design/methodology/approachA systematic literature review was performed to map use cases of digital twin, IoT, blockchain and smart contract technologies. Surveys of industry professionals and analyses were conducted focussing on the mapped use cases' life cycle–centric applicability, interoperability and integrability with current asset life cycle management practice, exploring decision support capabilities and industry insights. Lastly, a model of framework was developed based on the use case, interoperability and integrability findings.FindingsThe results support approaching digitization initiatives with blockchain-based digital twins and the positioning of the concept as both a strategic tool and a multifunctional on-field support application. Integrability enablers include progression towards BIM level 3, decentralized program hubs, modular cross-technological platform interfaces, as well as mergeable and scalable blockchains.Practical implicationsKnowledge of use cases help highlight the functionality of an integrated technological ecosystem and its connection to comprehensive sets of asset life cycle management aspects. Exploring integrability enablers contribute to the development of management practice and solution development as user expectations and technological prerequisites are interlinked.Originality/valueThe research explores asset life cycle management use cases, interoperability and integrability enablers of blockchain-based digital twins and positions the technological ecosystem within current practice and technological availability.

scholarly journals An architecture of an Intelligent Digital Twin in a Cyber-Physical Production System

2019 ◽  
Vol 67 (9) ◽  
pp. 762-782 ◽  
Author(s):  
Behrang Ashtari Talkhestani ◽  
Tobias Jung ◽  
Benjamin Lindemann ◽  
Nada Sahlab ◽  
Nasser Jazdi ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Production Systems ◽  
Heterogeneous Data ◽  
Use Cases ◽  
Added Value ◽  
Automation System ◽  
The Real ◽  
Digital Twin ◽  
Digital Twins ◽  
Cyber Physical Production Systems

Abstract The role of a Digital Twin is increasingly discussed within the context of Cyber-Physical Production Systems. Accordingly, various architectures for the realization of Digital Twin use cases are conceptualized. There lacks, however, a clear, encompassing architecture covering necessary components of a Digital Twin to realize various use cases in an intelligent automation system. In this contribution, the added value of a Digital Twin in an intelligent automation system is highlighted and various existing definitions and architectures of the Digital Twin are discussed. Flowingly, an architecture for a Digital Twin and an architecture for an Intelligent Digital Twin and their required components are proposed, with which use cases such as plug and produce, self-x and predictive maintenance are enabled. In the opinion of the authors, a Digital Twin requires three main characteristics: synchronization with the real asset, active data acquisition from the real environment and the ability of simulation. In addition to all the characteristics of a Digital Twin, an Intelligent Digital Twin must also include the characteristics of Artificial Intelligence. The Intelligent Digital Twin can be used for the realization of the autonomous Cyber-Physical Production Systems. In order to realize the proposed architecture for a Digital Twin, several methods, namely the Anchor-Point-Method, a method for heterogeneous data acquisition and data integration as well as an agent-based method for the development of a co-simulation between Digital Twins were implemented and evaluated.

scholarly journals Developing a Framework for Scoping Digital Twins in the Process Manufacturing Industry

2020 ◽  
Author(s):  
Matteo Perno ◽  
Lars Hvam
Keyword(s):  
Current Literature ◽  
Manufacturing Industry ◽  
Building Blocks ◽  
Use Cases ◽  
Manufacturing Companies ◽  
Digital Twin ◽  
Key Stakeholders ◽  
Digital Twins ◽  
Process Manufacturing ◽  
Selection Of

The process of scoping Digital Twin projects can prove to be daunting for process manufacturing companies, given the novelty of the concept and the broad range of technologies upon which it is built. The current literature lacks research on the process of scoping Digital Twins in a process manufacturing context. The present paper addresses this gap by introducing a framework for scoping Digital Twins in the process manufacturing industry. The framework is based on the existing literature and on the experience gained at an international process manufacturing company. The proposed framework is designed to address the key challenges that companies in the process manufacturing industry need to face when scoping Digital Twin projects. Therefore, the framework is structured into four points: (1) Identification of key stakeholders and their requirements, (2) Building blocks definition, (3) Selection of asset to twin, and (4) Use cases development. By addressing these points, the time and resources required to develop a Digital Twin can be significantly reduced.

scholarly journals Maritime Digital Twin architecture

2021 ◽  
Vol 69 (12) ◽  
pp. 1081-1095
Author(s):  
Jan-Erik Giering ◽  
Alexander Dyck
Keyword(s):  
Use Cases ◽  
Maritime Industry ◽  
Product Lifecycle ◽  
Political Pressure ◽  
Digital Twin ◽  
Current State ◽  
Delivery Costs ◽  
Digital Twins ◽  
Insight Into

Abstract Digital Twins (DTs) play an important role in current digitalization trends across industries. As maritime markets are particularly affected by recent global tendencies such as increasing delivery costs or political pressure for decarbonization, DT solutions could provide important support for shipbuilding and shipping companies to master recent and upcoming challenges. This paper provides a brief insight into the current state of the maritime industry and shows possible use-cases for DT Ship applications throughout the entire product lifecycle. To further advance the general understanding of DTs and their implementation, the concept of a Maritime Digital Twin Architecture (MDTA) is proposed to structure practical DT features.

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

2021 ◽  
Author(s):  
Amon Göppert ◽  
Lea Grahn ◽  
Jonas Rachner ◽  
Dennis Grunert ◽  
Simon Hort ◽  
...  
Keyword(s):  
Data Exchange ◽  
Manufacturing Systems ◽  
Digital Model ◽  
Use Case ◽  
Digital Twin ◽  
Planning And Control ◽  
Digital Twins ◽  
Definition Of ◽  
Fully Connected ◽  
And Control

AbstractThe demand for individualized products drives modern manufacturing systems towards greater adaptability and flexibility. This increases the focus on data-driven digital twins enabling swift adaptations. Within the framework of cyber-physical systems, the digital twin is a digital model that is fully connected to the physical and digital assets. A digital model must follow a standardization for interoperable data exchange. Established ontologies and meta-models offer a basis in the definition of a schema, which is the first phase of creating a digital twin. The next phase is the standardized and structured modeling with static use-case specific data. The final phase is the deployment of digital twins into operation with a full connection of the digital model with the remaining cyber-physical system. In this deployment phase communication standards and protocols provide a standardized data exchange. A survey on the state-of-the-art of these three digital twin phases reveals the lack of a consistent workflow from ontology-driven definition to standardized modeling. Therefore, one goal of this paper is the design of an end-to-end digital twin pipeline to lower the threshold of creating and deploying digital twins. As the task of establishing a communication connection is highly repetitive, an automation concept by providing structured protocol data is the second goal. 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. Along this use-case the digital twin pipeline is transparently explained.

scholarly journals Using Actors and Use Cases for Software Size Estimation

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 592
Author(s):  
Radek Silhavy ◽  
Petr Silhavy ◽  
Zdenka Prokopova
Keyword(s):  
Project Planning ◽  
Use Cases ◽  
New Method ◽  
Software Systems ◽  
Software Project ◽  
Use Case ◽  
Size Estimation ◽  
Software Size Estimation ◽  
Use Case Points

Software size estimation represents a complex task, which is based on data analysis or on an algorithmic estimation approach. Software size estimation is a nontrivial task, which is important for software project planning and management. In this paper, a new method called Actors and Use Cases Size Estimation is proposed. The new method is based on the number of actors and use cases only. The method is based on stepwise regression and led to a very significant reduction in errors when estimating the size of software systems compared to Use Case Points-based methods. The proposed method is independent of Use Case Points, which allows the elimination of the effect of the inaccurate determination of Use Case Points components, because such components are not used in the proposed method.

scholarly journals Platform Patterns—Using Proven Principles to Develop Digital Platforms

2021 ◽  
Author(s):  
Marvin Drewel ◽  
Leon Özcan ◽  
Jürgen Gausemeier ◽  
Roman Dumitrescu
Keyword(s):  
Mechanical Engineering ◽  
Early Stage ◽  
Use Case ◽  
Digital Platforms ◽  
Hands On ◽  
The Future ◽  
Platform Development ◽  
Strategic Options ◽  
Generic Design ◽  
Platform Economy

AbstractHardly any other area has as much disruptive potential as digital platforms in the course of digitalization. After serious changes have already taken place in the B2C sector with platforms such as Amazon and Airbnb, the B2B sector is on the threshold to the so-called platform economy. In mechanical engineering, pioneers like GE (PREDIX) and Claas (365FarmNet) are trying to get their hands on the act. This is hardly a promising option for small and medium-sized companies, as only a few large companies will survive. Small and medium-sized enterprises (SMEs) are already facing the threat of losing direct consumer contact and becoming exchangeable executers. In order to prevent this, it is important to anticipate at an early stage which strategic options exist for the future platform economy and which adjustments to the product program should already be initiated today. Basically, medium-sized companies in particular lack a strategy for an advantageous entry into the future platform economy.The paper presents different approaches to master the challenges of participating in the platform economy by using platform patterns. Platform patterns represent proven principles of already existing platforms. We show how we derived a catalogue with 37 identified platform patterns. The catalogue has a generic design and can be customized for a specific use case. The versatility of the catalogue is underlined by three possible applications: (1) platform ideation, (2) platform development, and (3) platform characterization.

Architecture and use cases of digital twins towards smart manufacturing

2021 ◽  
Vol 8 (3) ◽  
pp. 264
Author(s):  
Nibhrita Tiwari ◽  
Maninder Jeet Kaur ◽  
Ved Prakash Mishra
Keyword(s):  
Use Cases ◽  
Smart Manufacturing ◽  
Digital Twins

Digital Twin for Smart Manufacturing: The Practitioner’s Perspective

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.

Machine learning-based digital twins reduce seasonal remapping in aeroderivative gas turbines

2021 ◽  
pp. 1-7
Author(s):  
Nick Petro ◽  
Felipe Lopez
Keyword(s):  
Machine Learning ◽  
Ambient Temperature ◽  
Gas Turbines ◽  
Operating Conditions ◽  
Pilot Site ◽  
Digital Twin ◽  
Digital Twins ◽  
Machine Learning Model ◽  
Unacceptable Behavior ◽  
External Conditions

Abstract Aeroderivative gas turbines have their combustion set points adjusted periodically in a process known as remapping. Even turbines that perform well after remapping may produce unacceptable behavior when external conditions change. This article introduces a digital twin that uses real-time measurements of combustor acoustics and emissions in a machine learning model that tracks recent operating conditions. The digital twin is leveraged by an optimizer that select adjustments that allow the unit to maintain combustor dynamics and emissions in compliance without seasonal remapping. Results from a pilot site demonstrate that the proposed approach can allow a GE LM6000PD unit to operate for ten months without seasonal remapping while adjusting to changes in ambient temperature (4 - 38 °C) and to different fuel compositions.

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