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Internet of Things (IoT) and Building Information Modeling (BIM) in the Construction Industry

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: 20 November 2024 | Viewed by 3403

Special Issue Editors

Prof. Dr. Haijiang Li

E-Mail Website
Guest Editor
BIM for Smart Engineering Center, Cardiff University, Queen’s Buildings, Cardiff CF24 3AA, UK
Interests: BIM; digital twins; design automation; knowledge processing; automated code compliance checking
Special Issues, Collections and Topics in MDPI journals
Dr. Li Sun

E-Mail Website
Guest Editor
Department of Civil, Environmental, and Geomatic Engineering, University College London, London WC1E 6BT, UK
Interests: resilient cities; sustainability; artificial intelligence

Special Issue Information

Dear Colleagues,

The ever-growing collection of techniques in the fields of the Internet of Things (IoT) and Building Information Modelling (BIM) is reshaping the construction industry worldwide. Meanwhile, it has also posed new challenges with respect to the development of the corresponding computational models and software solutions. Against this backdrop, this Special Issue will bring together transdisciplinary researchers, practitioners, and stakeholders pioneering state-of-the-art studies on these fronts. Accordingly, it will cover a wide range of engineering and interdisciplinary topics in the IoT and BIM, including computation and data-intensive applications, artificial intelligence-informed planning, deep-learning-based remote sensing, and green building techniques. Moreover, cutting-edge research into the optimal resource management of construction projects and sustainable construction is also of interest. 

Prof. Dr. Haijiang Li
Dr. Li Sun
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Internet of Things
  • building information modelling
  • artificial intelligence
  • green building
  • sustainable construction

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Published Papers (3 papers)

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Editorial

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4 pages, 183 KiB  
Editorial
Digital Twin of Interwoven Urban Systems: A New Approach to Future Resilient and Sustainable Cities
by Li Sun and Haijiang Li
Appl. Sci. 2023, 13(17), 9696; https://doi.org/10.3390/app13179696 - 28 Aug 2023
Viewed by 1454
Abstract
As an organically interwoven system of people, government organizations and businesses, modern cities have become the engine that drives economic growth and technological revolution for each nation [...] Full article
(This article belongs to the Special Issue Internet of Things (IoT) and Building Information Modeling (BIM) in the Construction Industry)

Research

Jump to: Editorial

16 pages, 8376 KiB  
Article
Virtual Tours as Effective Complement to Building Information Models in Computer-Aided Facility Management Using Internet of Things
by Sergi Aguacil Moreno, Matthias Loup, Morgane Lebre, Laurent Deschamps, Jean-Philippe Bacher and Sebastian Duque Mahecha
Appl. Sci. 2024, 14(17), 7998; https://doi.org/10.3390/app14177998 - 7 Sep 2024
Abstract
This study investigates the integration of Building Information Models (BIMs) and Virtual Tour (VT) environments in the Architecture, Engineering and Construction (AEC) industry, focusing on Computer-Aided Facility Management (CAFM), Computerized Maintenance Management Systems (CMMSs), and data Life-Cycle Assessment (LCA). The interconnected nature of [...] Read more.
This study investigates the integration of Building Information Models (BIMs) and Virtual Tour (VT) environments in the Architecture, Engineering and Construction (AEC) industry, focusing on Computer-Aided Facility Management (CAFM), Computerized Maintenance Management Systems (CMMSs), and data Life-Cycle Assessment (LCA). The interconnected nature of tasks throughout a building’s life cycle increasingly demands a seamless integration of real-time monitoring, 3D models, and building data technologies. While there are numerous examples of effective links between IoT and BIMs, as well as IoT and VTs, a research gap exists concerning VT-BIM integration. This article presents a technical solution that connects BIMs and IoT data using VTs to enhance workflow efficiency and information transfer. The VT is developed upon a pilot based on the Controlled Environments for Living Lab Studies (CELLS), a unique facility designed for flexible monitoring and remote-control processes that incorporate BIMs and IoT technologies. The findings offer valuable insights into the potential of VTs to complement and connect to BIMs from a life-cycle perspective, improving the usability of digital twins for beginner users and contributing to the advancement of the AEC and CAFM industries. Our technical solution helps complete the connectivity of BIMs-VT-IoT, providing an intuitive interface (VT) for rapid data visualisation and access to dashboards, models and building databases. The practical field of application is facility management, enhancing monitoring and asset management tasks. This includes (a) sensor data monitoring, (b) remote control of connected equipment, and (c) centralised access to asset-space information bridging BIM and visual (photographic/video) data. Full article
(This article belongs to the Special Issue Internet of Things (IoT) and Building Information Modeling (BIM) in the Construction Industry)
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20 pages, 1708 KiB  
Article
Convergence of AI and Urban Emergency Responses: Emerging Pathway toward Resilient and Equitable Communities
by Li Sun, Haijiang Li, Joseph Nagel and Siyao Yang
Appl. Sci. 2024, 14(17), 7949; https://doi.org/10.3390/app14177949 - 6 Sep 2024
Abstract
Urban communities have long been pivotal in wealth creation and technological innovation. In the contemporary context, their modus operandi is intricately tied to a diverse array of critical infrastructure systems (CISs). These systems—encompassing utilities, transportation, communication, and more—are indispensable for daily life; however, [...] Read more.
Urban communities have long been pivotal in wealth creation and technological innovation. In the contemporary context, their modus operandi is intricately tied to a diverse array of critical infrastructure systems (CISs). These systems—encompassing utilities, transportation, communication, and more—are indispensable for daily life; however, historical lessons underscore that the ever-growing interdependence among modern CISs has sapped their robustness. Furthermore, this vulnerability is compounded by the intensifying natural hazards catalysed by climate change, leaving urban communities with eroded resilience. Against this backdrop, pilot studies have harnessed breakthroughs in artificial intelligence (AI) to chart a new course toward resilient urban communities. This paper illuminates AI-driven resilience by reviewing the latest research in key aspects including (1) the limitation of state-of-the-art resilience assessment frameworks; (2) emergency response as a novel blueprint featuring swift response following catastrophes; (3) efficient loss assessment of CISs using AI algorithms; and (4) machine-learning-enabled autonomous emergency response planning. The remaining challenges and hardships faced on the journey toward resilient urban communities are also discussed. The findings could contribute to the ongoing discourse on enhancing urban resilience in the face of increasingly frequent and destructive climate hazards. Full article
(This article belongs to the Special Issue Internet of Things (IoT) and Building Information Modeling (BIM) in the Construction Industry)
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