Using big data analytics and IoT principles to keep an eye on underground infrastructure

Lieberman, Joshua; Leidner, Alan C.; Percivall, George; Rönsdorf, Carsten

doi:10.1109/bigdata.2017.8258503

Cited by 15 publications

(5 citation statements)

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“…The major citing article in this cluster is authored by Lieberman, J (2017.0-JAN) [60]. The most cited topics within this cluster include "data analytics" (18), "infrastructure" (14), and "costs" (7).…”

Section: Keyword Analysis Of Digital Twin For Construction and Infras...mentioning

confidence: 99%

Scientometric Insights of Digital Twins in Industry 4.0

Kaur,

Bhatia

2024

Preprint

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Industry 4.0 is a new era of digitization that integrates digital technologies to create smart, interconnected production systems, marking a paradigm shift in different domains. One of the key technologies in this era is 'Digital Twin', which offers virtual representations of physical assets and processes. It is crucial to analyze the role of digital twin technology in the context of Industry 4.0 using scientometric analysis with citeSpace, a powerful tool for visualizing and analyzing citation networks. This research focuses on the growth trajectory of digital twin literature, identifies influential authors, institutions, and journals, and analyzes the geographical distribution of research contributions from the Scopus database for 2018-2024. The findings reveal insights into the current state of digital twin research, its impact on Industry 4.0, and opportunities for future exploration and collaboration in this rapidly evolving field.

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Section: Keyword Analysis Of Digital Twin For Construction and Infras...mentioning

confidence: 99%

Scientometric Insights of Digital Twins in Industry 4.0

Kaur,

Bhatia

2024

Preprint

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“…Developing multi-layered system architecture for the city's digital models was also proposed to manage and integrate various data types in the digital twin model [34,45]. In addition, although the underground infrastructure data lack appropriate levels of accessibility and quality, it was suggested that they are candidates for better interoperability due to the ability to integrate several data models [44]. Nevertheless, the large amount of data generated from city operations constitutes an issue in handling and operating digital twins, especially on the city scale.…”

Section: Data Managementmentioning

confidence: 99%

“…Furthermore, the size and complexity of the city data shed a light on the necessity of developing widely accepted standards for the data models and design schemas [27,37] to facilitate the development of the city models, in addition to gaining its benefits in reducing time, cost, and errors. Furthermore, data accessibility can be challenging due to ownership and expensiveness [44,68].…”

Section: Challenges To the Full Utilization Of City Digital Twin Potementioning

confidence: 99%

City Digital Twin Potentials: A Review and Research Agenda

2021

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The city digital twin is anticipated to accurately reflect and affect the city’s functions and processes to enhance its realization, operability, and management. Although research on the city digital twin is still in its infancy, the advancement of the digital twin technology is growing fast and providing viable contributions to augmenting smart city developments. This study reviews the literature to identify the current and prospective potentials and challenges of digital twin cities. A research agenda is also proposed to guide future research on the city digital twincity digital twin to reach the utmost level of a comprehensive and complete city digital twin. Enhancing the efficiency of data processing, promoting the inclusion of socio-economic components of the city, and developing mutual integration between the two counterparts of the digital twin are proposed to be the future research directions to achieve and utilize a completely mirrored city digital twin.

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“…This section will statistically explore the selected literature and the trend of research on the highlighted disruptive technologies in the building industry through a thorough bibliometric analysis. Research on the integration of technologies in the retrieved literature started in 2017 by working towards functional DTs in combination with IoT, offering cost-effective and scalable solutions for the underground built environment [25], followed by the integration of blockchain and AI in 2018, focusing on trust issues in the real-estate economy [26]. Figure 4 shows the number of annual publications integrating these technologies into the building industry.…”

Section: Descriptive Bibliometricsmentioning

confidence: 99%

Integration of Blockchain and Digital Twins in the Smart Built Environment Adopting Disruptive Technologies—A Systematic Review

et al. 2023

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The integration of blockchain and digital twins (DT) for better building-lifecycle data management has recently received much attention from researchers in the field. In this respect, the adoption of enabling technologies such as artificial intelligence (AI) and machine learning (ML), the Internet of Things (IoT), cloud and edge computing, Big Data analytics, etc., has also been investigated in an abundance of studies. The present review inspects the recent studies to shed light on the foremost among those enabling technologies and their scope, challenges, and integration potential. To this end, 86 scientific papers, recognized and retrieved from the Scopus and Web of Science databases, were reviewed and a thorough bibliometric analysis was performed on them. The obtained results demonstrate the nascency of the research in this field and the necessity of further implementation of practical methods to discover and prove the real potential of these technologies and their fusion. It was also found that the integration of these technologies can be beneficial for addressing the implementation challenges they face individually. In the end, an abstract descriptive model is presented to provide a better understanding of how the technologies can become integrated into a unified system for smartening the built environment.

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Using big data analytics and IoT principles to keep an eye on underground infrastructure

Cited by 15 publications

References 0 publications

Scientometric Insights of Digital Twins in Industry 4.0

Scientometric Insights of Digital Twins in Industry 4.0

City Digital Twin Potentials: A Review and Research Agenda

Integration of Blockchain and Digital Twins in the Smart Built Environment Adopting Disruptive Technologies—A Systematic Review

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