A Conceptual Model-based Systems Engineering (MBSE) approach to develop Digital Twins

Lopez, Viviana; Akundi, Aditya

doi:10.1109/syscon53536.2022.9773869

Cited by 9 publications

(4 citation statements)

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“…The creation of models can be carried out by applying existing engineering approaches. Lopez and Akundi [ 126 ] used model-based system engineering (MBSE) approaches, while Michael and Wortmann [ 127 ] followed model-driven software engineering (MDSE) techniques. In contrast to this, various authors presented the necessary steps to create appropriate models.…”

Section: Resultsmentioning

confidence: 99%

A Literature Review on the Development and Creation of Digital Twins, Cyber-Physical Systems, and Product-Service Systems

Fett,

Wilking,

Goetz

et al. 2023

Sensors

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Digital Twins offer vast potential, yet many companies, particularly small and medium-sized enterprises, hesitate to implement them. This hesitation stems partly from the challenges posed by the interdisciplinary nature of creating Digital Twins. To address these challenges, this paper explores systematic approaches for the development and creation of Digital Twins, drawing on relevant methods and approaches presented in the literature. Conducting a systematic literature review, we delve into the development of Digital Twins while also considering analogous concepts, such as Cyber-Physical Systems and Product-Service Systems. The compiled literature is categorised into three main sections: holistic approaches, architecture, and models. Each category encompasses various subcategories, all of which are detailed in this paper. Through this comprehensive review, we discuss the findings and identify research gaps, shedding light on the current state of knowledge in the field of Digital Twin development. This paper aims to provide valuable insights for practitioners and researchers alike, guiding them in navigating the complexities associated with the implementation of Digital Twins.

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Section: Resultsmentioning

confidence: 99%

A Literature Review on the Development and Creation of Digital Twins, Cyber-Physical Systems, and Product-Service Systems

Fett,

Wilking,

Goetz

et al. 2023

Sensors

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show abstract

“…The modelling spectrum. (Bucchiarone et al 2021) conclude that MBSE is a key area where a number of interesting modelling success stories can be found, particularly in "new" domains such as embedded systems (Liebel et al 2018), Internet of Things (Morin et al 2017), Digital Twins (Lopez & Akundi 2022) and avionics (Gregory et al 2020).…”

Section: Figurementioning

confidence: 99%

A Quantitative SWOT-TOWS Analysis for the Adoption of Model-Based Software Engineering.

Escalona¹,

Koch²,

Rossi³

2022

JOT

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Enterprises' trend to low-code development revives model-based software engineering (MBSE) since several low-code platforms are based on the principles of model-based design, automatic code generation, and visual programming.Changes in an enterprise's software development process, however, always require strategic planning. To find an appropriate strategy, we present an analytical tool for identifying and evaluating strengths, weaknesses, opportunities and threats factors for the adoption of MBSE. This tool provides a SWOT-TOWS analysis supplemented by a quantitative evaluation of strategies based on a multiple-criteria decision technique drawing on the knowledge of industry experts. Our analytical tool is general so it can be used in the industrial context for making other strategic decisions.

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“…This is because they can collect various types of data (e.g., images, videos, and point clouds) faster and with higher accuracy than traditional methods. DT is an interactive, real-time digital representation of building or infrastructure assets, employing sensors and cyber-physical systems to understand the physical world better [7]. Applying methods based on the DT concept has shown success, particularly in industries like manufacturing, where they have been effectively utilized for production planning and control.…”

Section: Introductionmentioning

confidence: 99%

Unmanned Aerial Systems (UAS)-derived 3D models for Digital Twin Construction applications

G. Martinez,

A. Alarcon,

Wandahl

2024

Point Cloud Generation and Its Applications [Working Title]

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The advent of Construction 4.0 has marked a paradigm shift in industrial development, integrating advanced technologies such as cyber-physical systems (CPS), sensors, unmanned aerial systems (UAS), building information modeling (BIM), and robotics. Notably, UASs have emerged as invaluable tools seamlessly embedded in construction processes, facilitating the comprehensive monitoring and digitization of construction projects from the early design phase through construction to the post-construction phases. Equipped with various sensors, such as imaging sensors, light detection and rangers (LiDAR), and thermal sensors, UASs play an important role in data collection processes, especially for 3D point cloud generation. Presently, UASs are recognized as one of the most effective means of generating a Digital Twin (DT) of construction projects, surpassing traditional methods in terms of speed and accuracy. This chapter provides a comprehensive overview of the applications of UAS-derived 3D models in DT, outlining their advantages and barriers and offering recommendations to augment their quality and accuracy.

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A Conceptual Model-based Systems Engineering (MBSE) approach to develop Digital Twins

Cited by 9 publications

References 0 publications

A Literature Review on the Development and Creation of Digital Twins, Cyber-Physical Systems, and Product-Service Systems

A Literature Review on the Development and Creation of Digital Twins, Cyber-Physical Systems, and Product-Service Systems

A Quantitative SWOT-TOWS Analysis for the Adoption of Model-Based Software Engineering.

Unmanned Aerial Systems (UAS)-derived 3D models for Digital Twin Construction applications

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