Designing solutions with the product-service systems digital twin: What is now and what is next?

Bertoni, Marco; Bertoni, Alessandro

doi:10.1016/j.compind.2022.103629

Cited by 42 publications

(19 citation statements)

References 55 publications

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“…Designers of architecture and technological installations of buildings have been struggling with similar problems for many years. To facilitate the work, they use innovative Building Information Modeling (BIM) and Digital Twin (DT) technologies and tools [23][24][25][26][27][28]. Moreover, the advanced distributed control and monitoring networks with IoT nodes are considered as technological platform supporting these solutions.…”

Section: Buildings Smartness and Energy Efficiency Evaluationmentioning

confidence: 99%

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Building Information Modeling and Digital Twin Approaches in Building Automation and Distributed IoT Networks – Review and New Challenges Discussion

Walczyk,

Ożadowicz

2024

Preprint

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Modern building automation systems implement plenty of advanced control and monitoring functions considering various parameters like users’ activity, lighting, temperature changes etc. Moreover, new solutions based on Internet of Things and cloud services are also being developed for smart buildings to ensure comfort of use, user safety, energy efficiency improvements and integration with smart grids and smart city platforms. Such a wide spectrum of technologies and functions requires a new approach in building automation systems design to provide effective way of their implementation and flexibility during operation. At the same time, in the building design and operation industries, tools based on building information modeling and digital twins are being developed. In this paper, the authors discuss development directions and application areas of these solutions, identifying new trends and possibilities of their use in smart homes and buildings. In particular, the focus is on procedures for selecting automation functions, effective integration, and interoperability of building management systems with Internet of Things considering organization of prediction mechanisms and dynamic functional changes in buildings and smart networks. Chosen solutions and functions should consider the requirements from EN ISO 52120 standard and the guidelines defined for the Smart Readiness Indicator.

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Section: Buildings Smartness and Energy Efficiency Evaluationmentioning

confidence: 99%

“…Moreover, the implementation and maintenance of BIM and DT platforms, especially integrated ones, involves additional costs that companies as well as investors must consider. A careful costbenefit analysis is required before implementing BIM and DT to ensure that the investment pays off [26,60].…”

Section: Organization Challenges and Gapsmentioning

confidence: 99%

Building Information Modeling and Digital Twin Approaches in Building Automation and Distributed IoT Networks – Review and New Challenges Discussion

Walczyk,

Ożadowicz

2024

Preprint

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“…At the same time, literature has focused on several challenges when applying a digital twin notion in design (Vogt et al, 2021), especially in the context of disruptive and radical products (Bertoni and Bertoni, 2022) and in product-service systems (Machchhar, et al, 2022). One of the main concerns is design reconfigurability to rapidly modify and explore the design space.…”

Section: Digital-twin Based Design: Opportunities Challenges and The ...mentioning

confidence: 99%

Cost-efficient digital twins for design space exploration: A modular platform approach

Panarotto

Isaksson

Vial

2023

Computers in Industry

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“…The use of digital twins in healthcare is enhanced by improved computer capacity and the development of wearable and smart devices, which provide abundant data that require correct interpretation [ 37 , 38 ]. Nevertheless, implementing digital twins in medicine presents challenges due to the complexity and variability of biological processes, which are translated into noisy dynamic data [ 50 ].…”

Section: Applications Of Digital Twins In Healthcarementioning

confidence: 99%

Using Constrained-Disorder Principle-Based Systems to Improve the Performance of Digital Twins in Biological Systems

Sigawi

Ilan

2023

Biomimetics

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Digital twins are computer programs that use real-world data to create simulations that predict the performance of processes, products, and systems. Digital twins may integrate artificial intelligence to improve their outputs. Models for dealing with uncertainties and noise are used to improve the accuracy of digital twins. Most currently used systems aim to reduce noise to improve their outputs. Nevertheless, biological systems are characterized by inherent variability, which is necessary for their proper function. The constrained-disorder principle defines living systems as having a disorder as part of their existence and proper operation while kept within dynamic boundaries. In the present paper, we review the role of noise in complex systems and its use in bioengineering. We describe the use of digital twins for medical applications and current methods for dealing with noise and uncertainties in modeling. The paper presents methods to improve the accuracy and effectiveness of digital twin systems by continuously implementing variability signatures while simultaneously reducing unwanted noise in their inputs and outputs. Accounting for the noisy internal and external environments of complex biological systems is necessary for the future design of improved, more accurate digital twins.

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Designing solutions with the product-service systems digital twin: What is now and what is next?

Cited by 42 publications

References 55 publications

Building Information Modeling and Digital Twin Approaches in Building Automation and Distributed IoT Networks – Review and New Challenges Discussion

Building Information Modeling and Digital Twin Approaches in Building Automation and Distributed IoT Networks – Review and New Challenges Discussion

Cost-efficient digital twins for design space exploration: A modular platform approach

Using Constrained-Disorder Principle-Based Systems to Improve the Performance of Digital Twins in Biological Systems

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