scholarly journals Digital Twins from Smart Manufacturing to Smart Cities: A Survey

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Georgios Mylonas ◽  
Athanasios Kalogeras ◽  
Georgios Kalogeras ◽  
Christos Anagnostopoulos ◽  
Christos Alexakos ◽  
...  
Keyword(s):  
Smart Cities ◽  
Smart Manufacturing ◽  
Digital Twins

Digital Twins Concepts, Challenges, and Future Trends

2021 ◽  
pp. 48-60
Author(s):  
Amged Sayed A. Mahmoud ◽  
Ezz El-Din Hemdan
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Smart Cities ◽  
Sensor Technology ◽  
Smart Manufacturing ◽  
Future Trends ◽  
Functional Description ◽  
Digital Twin ◽  
Research Areas ◽  
Digital Twins

Digital twin has gained a great interest during the last few years from academia and industry because of the development in IT technology, communication field, and sensor technology. The general vision of the DT is to provide a detailed physical and functional description of a component, product, and systems. Nevertheless, the digital twin is a highly dynamic concept growing in complexity during the product life cycle, which leads to an enormous amount of data and information. Motivated by these, this chapter investigates the concepts and architecture of DT to cover its challenges and explore its applications in various fields such as smart cities, smart manufacturing and factories, and healthcare sectors. In the end, the challenges and research areas will be presented.

scholarly journals Digital Twins Collaboration for Automatic Erratic Operational Data Detection in Industry 4.0

2021 ◽  
Vol 11 (7) ◽  
pp. 3186
Author(s):  
Radhya Sahal ◽  
Saeed H. Alsamhi ◽  
John G. Breslin ◽  
Kenneth N. Brown ◽  
Muhammad Intizar Ali
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Interaction Mechanism ◽  
Semantic Knowledge ◽  
Smart Manufacturing ◽  
Data Detection ◽  
Workflow Model ◽  
Digital Twins ◽  
Potential Failure ◽  
Operational Data

Digital twin (DT) plays a pivotal role in the vision of Industry 4.0. The idea is that the real product and its virtual counterpart are twins that travel a parallel journey from design and development to production and service life. The intelligence that comes from DTs’ operational data supports the interactions between the DTs to pave the way for the cyber-physical integration of smart manufacturing. This paper presents a conceptual framework for digital twins collaboration to provide an auto-detection of erratic operational data by utilizing operational data intelligence in the manufacturing systems. The proposed framework provide an interaction mechanism to understand the DT status, interact with other DTs, learn from each other DTs, and share common semantic knowledge. In addition, it can detect the anomalies and understand the overall picture and conditions of the operational environments. Furthermore, the proposed framework is described in the workflow model, which breaks down into four phases: information extraction, change detection, synchronization, and notification. A use case of Energy 4.0 fault diagnosis for wind turbines is described to present the use of the proposed framework and DTs collaboration to identify and diagnose the potential failure, e.g., malfunctioning nodes within the energy industry.

scholarly journals Towards Effective BIM/GIS Data Integration for Smart City by Integrating Computer Graphics Technique

2021 ◽  
Vol 13 (10) ◽  
pp. 1889
Author(s):  
Junxiang Zhu ◽  
Peng Wu
Keyword(s):  
Computer Graphics ◽  
Smart City ◽  
Smart Cities ◽  
Information Modeling ◽  
Data Conversion ◽  
Geography Markup Language ◽  
Building Models ◽  
Digital Twins ◽  
Gis Data ◽  
Building Information

The development of a smart city and digital twin requires the integration of Building Information Modeling (BIM) and Geographic Information Systems (GIS), where BIM models are to be integrated into GIS for visualization and/or analysis. However, the intrinsic differences between BIM and GIS have led to enormous problems in BIM-to-GIS data conversion, and the use of City Geography Markup Language (CityGML) has further escalated this issue. This study aims to facilitate the use of BIM models in GIS by proposing using the shapefile format, and a creative approach for converting Industry Foundation Classes (IFC) to shapefile was developed by integrating a computer graphics technique. Thirteen building models were used to validate the proposed method. The result shows that: (1) the IFC-to-shapefile conversion is easier and more flexible to realize than the IFC-to-CityGML conversion, and (2) the computer graphics technique can improve the efficiency and reliability of BIM-to-GIS data conversion. This study can facilitate the use of BIM information in GIS and benefit studies working on digital twins and smart cities where building models are to be processed and integrated in GIS, or any other studies that need to manipulate IFC geometry in depth.

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.

scholarly journals MODELLING CHANGES, STAKEHOLDERS AND THEIR RELATIONS IN SEMANTIC 3D CITY MODELS

2021 ◽  
Vol VIII-4/W2-2021 ◽  
pp. 137-144
Author(s):  
S. H. Nguyen ◽  
T. H. Kolbe
Keyword(s):  
Change Detection ◽  
Smart Cities ◽  
Deep Understanding ◽  
Structural Level ◽  
Mathematical Methods ◽  
Conceptual Approach ◽  
3D City Models ◽  
Digital Twins ◽  
Virtual City ◽  
City Models

Abstract. Urban digital twins have been increasingly adopted by cities worldwide. Digital twins, especially semantic 3D city models as key components, have quickly become a crucial platform for urban monitoring, planning, analyses and visualization. However, as the massive influx of data collected from cities accumulates quickly over time, one major problem arises as how to handle different temporal versions of a virtual city model. Many current city modelling deployments lack the capability for automatic and efficient change detection and often replace older city models completely with newer ones. Another crucial task is then to make sense of the detected changes to provide a deep understanding of the progresses made in the cities. Therefore, this research aims to provide a conceptual framework to better assist change detection and interpretation in virtual city models. Firstly, a detailed hierarchical model of all potential changes in semantic 3D city models is proposed. This includes appearance, semantic, geometric, topological, structural, Level of Detail (LoD), auxiliary and scoped changes. In addition, a conceptual approach to modelling most relevant stakeholders in smart cities is presented. Then, a model - reality graph is used to represent both the different groups of stakeholders and types of changes based on their relative interest and relevance. Finally, the study introduces two mathematical methods to represent the relevance relations between stakeholders and changes, namely the relevance graph and the relevance matrix.

From Sketches and Installations to Bioinspired 5D Printing Models

2021 ◽  
pp. 365-387
Author(s):  
Silvia Titotto
Keyword(s):  
Decision Making ◽  
Additive Manufacturing ◽  
Future Development ◽  
Smart Cities ◽  
Virtual Prototyping ◽  
Interdisciplinary Approach ◽  
Biologically Inspired ◽  
Digital Twins ◽  
Cad Cam ◽  
The Impact

This chapter opens up discussions upon the relevance of interaction of representations and data visualization modes for smart cities design, planning, and development that occur beyond paper and computer drawing. Although many practitioners usually relate smart cities and digital twins design exclusively to CAD/CAM/CAE and BIM methods, processes, and tools, a wider pool of techniques and forms of expression might be the key to a more accurate and comprehensive way of simulating the several kinds of alterations that happen in the planned built environment. The chapter deals with the study of concepts that relate to both physical and virtual prototyping, which underlines an interdisciplinary approach to design and the impact of integrating biologically inspired principles from different backgrounds to the field of smart cities design. In this regard, biomimetics and additive manufacturing may play key roles in smart city's modeling design and the frontier technology of 5D printing reveals real-time decision-making programmable 4D printing process as a potential future development.

scholarly journals A Framework for an Indoor Safety Management System Based on Digital Twin

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5771
Author(s):  
Zhansheng Liu ◽  
Anshan Zhang ◽  
Wensi Wang
Keyword(s):  
Management System ◽  
Safety Management ◽  
Smart Cities ◽  
Safety Data ◽  
Support Vector ◽  
The Internet ◽  
Safety Management System ◽  
Winter Olympics ◽  
Digital Twins ◽  
Building Information

With the development of the next generation of information technology, an increasing amount of attention is being paid to smart residential spaces, including smart cities, smart buildings, and smart homes. Building indoor safety intelligence is an important research topic. However, current indoor safety management methods cannot comprehensively analyse safety data, owing to a poor combination of safety management and building information. Additionally, the judgement of danger depends significantly on the experience of the safety management staff. In this study, digital twins (DTs) are introduced to building indoor safety management. A framework for an indoor safety management system based on DT is proposed which exploits the Internet of Things (IoT), building information modelling (BIM), the Internet, and support vector machines (SVMs) to improve the level of intelligence for building indoor safety management. A DT model (DTM) is developed using BIM integrated with operation information collected by IoT sensors. The trained SVM model is used to automatically obtain the types and levels of danger by processing the data in the DTM. The Internet is a medium for interactions between people and systems. A building in the bobsleigh and sled stadium for the Beijing Winter Olympics is considered as an example; the proposed system realises the functions of the scene display of the operation status, danger warning and positioning, danger classification and level assessment, and danger handling suggestions.

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