Navigating the transformation: a systematic analysis of Building Information Modelling, Artificial Intelligence and Internet of Things in smart construction logistics

In recent years, with the development of construction informatization, Building Information Modeling (BIM) and Internet of Things (IoT) technologies have been widely regarded by the construction industry. The integration of BIM and IoT involves the fusion and analysis of multiple data types in construction. This article analyzes and summarizes the application characteristics of BIM and IoT, combined with China's “Assessment standard for green building” (GB/T 50378-2019), examines the relevant clauses in the green construction specification that can be supported by the integration of BIM and IoT, and finally discusses the feasibility of applying BIM and IoT integration to intelligent construction. This paper proposes an ontology-based BIM and IoT integrated system framework.

Recently digitalization is reshaping the Architecture, Engineering, and Construction (AEC) industry, especially through the integration of Building Information Modeling (BIM) with emerging technologies, notably the Internet of Things (IoT), and Artificial Intelligence (AI). Previous research highlights the transformative benefits of these advancements, by enabling efficient data sharing, fostering effective collaboration, enhancing visualization, and improving productivity and safety. However, the fusion of BIM with IoT, and AI remains in its infancy. This research endeavors to take into account this gap by conducting a bibliometric analysis to map key themes, identify emerging trends, and pinpoint gaps among current scholarly findings, using VOSviewer and a dataset of 122 academic articles, spanning the years 2019 to 2024, sourced from the Scopus database. Findings reveal the increasing adoption of BIM as a backbone for data exchange, IoT to capture real-time data and AI for predictive analysis and automation. Technologies such as digital twins, blockchain, and machine learning are identified as significant yet underexplored areas, offering new opportunities for innovation. Challenges such as interoperability and the integration of sustainability principles persist, indicating directions for future research. This study lays a solid groundwork for both researchers and practitioners aiming to navigate and leverage the dynamic advancements in BIM, AI, and IoT within the AEC industry.

Aiming at the integrated application of Building Information Modeling (BIM) and other Information and Communication Technologies (ICTs) in the Architecture Engineering and Construction (ACE) industry, this paper presents an implementation case in airport infrastructure construction in China using BIM integration with Internet of Things (IoT). Firstly this paper reviews the BIM and other ICTs used in the ACE industry, then presents the application of BIM and IoT in airport infrastructure construction, lastly analyzes the implementation effect. The results from this case show that using BIM integration with IoT in airport infrastructure construction can effectively improve project delivery performance including cost, safety and so on.

PurposeThe development of prefabrication into full-scale offsite manufacturing processes in the construction industry is paradigm-shifting. Moreover, Building Information Modelling (BIM) is becoming the primary mode of communication and integration in construction projects to facilitate the flow of information. Although research has been performed on BIM and Offsite Construction (OSC), integrating these two concepts remains ambiguous and complex and lacks documentation and structure, especially in New Zealand. Therefore, this paper develops a robust framework for OSC and BIM integration. The study focusses on identifying integration challenges and proposes strategies for overcoming these challenges.Design/methodology/approachThis study applied scientometric analysis, a systematic literature review (SLR) and semi-structured expert interviews to investigate OSC and BIM integration challenges. Multiple themes were investigated and triangulation conducted in this research supports the creation of applicable knowledge in this field.FindingsMultiple gaps, research trends and the pioneer countries in the paper's scope have been identified through scientometric analysis. Then, a classified cluster of challenges for OSC and BIM implementation and integration strategies of OSC and BIM were demonstrated from the findings. The interviews provided comprehensive and complementary data sets and analyses. The findings from the Systematic Literature Review and interview structured the integration framework.Originality/valueThe contribution of this paper to existing knowledge is a developed framework that serves as a guideline for the OSC stakeholders. This framework can assess OSC's alignment with BIM and consolidate strategies for incorporating OSC into a BIM-based project delivery process. The framework consists of 23 strategies categorised into 8 clusters: a policy document, training and professional development, documentation, technology management, governmental development, contract development, accurate definition and detailing and communication. The proposed strategies will streamline integration by reducing potential challenges, thus enhancing project productivity.

Abstract: This research focuses on technology and integration tools for IoT environments, with an emphasis on three main aspects: the integration of Building Information Modeling (BIM) and IoT, the utilization of real-time data, and the urban IoT framework. The integration of BIM and IoT enables a smarter and more efficient building management system by utilizing IoT data to monitor real-time building conditions and improve maintenance and operational processes. This research seeks to identify challenges and solutions for technology integration in increasingly complex IoT environments, while also offering guidance for practical implementation in the urban and building sectors. In this research, we use a literature analysis approach, the main process is to identify relevant sources, including articles, journals, conferences, books, and industry reports published in the last five years. The results of this study are an implication that the application of IoT device integration with BIM can help improve operational and maintenance efficiency, optimize construction management, improve safety and mitigate risks in a company. Keywords: building informations modelling(BIM); environment; internet of things(IoT) Abstrak: Penelitian ini berfokus pada teknologi dan alat integrasi untuk lingkungan IoT, dengan penekanan pada tiga aspek utama: integrasi Building Information Modeling (BIM) dan IoT, pemanfaatan data real-time, dan kerangka kerja IoT perkotaan. Integrasi antara BIM dan IoT memungkinkan sistem manajemen bangunan yang lebih cerdas dan efisien dengan memanfaatkan data IoT untuk memantau kondisi real-time bangunan serta memperbaiki proses pemeliharaan dan operasional. Penelitian ini berupaya mengidentifikasi tantangan dan solusi integrasi teknologi dalam lingkungan IoT yang semakin kompleks, sekaligus menawarkan panduan untuk penerapan praktis di sektor perkotaan dan bangunan. Pada penelitian ini kami menggunakan metode pendekatan analisis literatur, proses utamanya adalah dengan mengidentifikasi sumber sumber relevan, meliputi artikel, jurnal, konferensi, buku, dan laporan industri yang dipublikasikan dalam lima tahun terakhir. Hasil dari penelitian ini yaitu didapatkan sebuah implikasi bahwa penerapan pengintegrasian perangkat IoT denan BIM dapat membantu meningkatkan efisiensi operasional dan pemeliharaan, optimasi manajemen kontruksi, peningkatan keselamatan dan mitigasi resiko pada sebuah perusahaan. Kata kunci: building informations modelling(BIM); environment; internet of things(IoT)

The adoption of the Internet of Things (IoT) in the construction industry has garnered significant academic interest, with a notable increase in research over the past decade. This study conducts a scientometric review of 428 papers published between 2010 and 2024, aiming to identify key trends, highlight emerging themes, and offer directions for future research to avoid redundancy. Through bibliographic coupling and scientific network analysis, the review uncovers prominent co-occurring keywords and themes, such as the integration of IoT with artificial intelligence, blockchain, cloud and edge computing, Building Information Modelling (BIM), and Digital Twins. A major finding is that improving safety, particularly in worker health and underground construction, is the most frequently addressed objective. Other focal areas include post-occupancy analysis, site management, infrastructure development, life cycle management, and prefabrication. However, the research highlights significant gaps. While IoT and BIM integration are well-explored, their application to worker safety and underground construction remains limited. The combination of Digital Twins and IoT is also underutilized in design evaluation, prefabrication, and life cycle management. This review underscores the complementary roles of various technologies and calls for interdisciplinary collaboration to fully realize the potential of IoT in advancing safety and efficiency in the construction industry.

The burgeoning evolution of smart cities, characterized by the integration of the Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML), heralds a transformative era in urban management and citizen engagement. These technological advancements promise enhanced efficiency in city operations, improved public services, and a sustainable urban environment. However, the complexity and interconnectedness inherent in these systems introduce significant cybersecurity challenges, necessitating innovative approaches to safeguard the digital infrastructure of smart cities. This paper aims to explore the cybersecurity landscape of smart cities from the perspective of integrating IoT, AI, and ML for the creation of digital twins, offering a comprehensive analysis of the opportunities and threats within this domain. Smart cities leverage IoT to connect various components of the urban infrastructure, including transportation systems, utilities, and public services, creating an integrated network of devices that communicate and share data. The incorporation of AI and ML into this framework facilitates intelligent decision-making, enabling the automation of services and the optimization of resources. This synergy enhances the quality of life for residents, promotes economic development, and supports sustainable environmental practices. However, the dependence on digital technologies also exposes smart cities to a range of cybersecurity risks, from data breaches and privacy violations to the disruption of critical infrastructure. The integration of IoT, AI, and ML in smart cities, while offering unprecedented opportunities for urban innovation, also amplifies the complexity of the cybersecurity landscape. IoT devices, often designed with minimal security features, become potential entry points for cyber attacks. The vast amount of data generated and processed by these devices, if compromised, could lead to significant privacy and security breaches. AI and ML models, for their part, are susceptible to manipulation and bias, which can undermine the integrity of decision-making processes. The interconnectivity of systems means that a breach in one sector could have cascading effects throughout the city's infrastructure. Against this backdrop, the paper investigates the role of digital twins in mitigating cybersecurity risks in smart cities. Digital twins, digital replicas of physical entities or systems, offer a powerful tool for simulating and analyzing smart city operations, including cybersecurity scenarios. By mirroring the city's infrastructure in a virtual environment, digital twins allow for the identification of vulnerabilities, the simulation of cyber attacks, and the evaluation of potential impacts. This proactive approach to cybersecurity enables city administrators to anticipate threats and implement protective measures before real-world systems are compromised. The research questions guiding this inquiry include: How can the integration of IoT, AI, and ML enhance the resilience of smart cities against cyber threats? What are the specific cybersecurity challenges presented by these technologies, and how can they be addressed? And, most crucially, what role can digital twins play in fortifying the cybersecurity defenses of smart cities? To address these questions, the paper begins with a review of the current state of smart city technology, focusing on the integration of IoT, AI, and ML. It then delves into the cybersecurity challenges unique to this technological landscape, drawing on recent examples of cyber incidents in smart cities. The analysis highlights the vulnerabilities introduced by the widespread use of IoT devices and the complexities of securing AI and ML systems. Following this, the discussion turns to the potential of digital twins as a cybersecurity tool, examining how they can be employed to detect vulnerabilities, simulate attacks, and plan responses. The paper argues that while the integration of IoT, AI, and ML in smart cities presents significant cybersecurity challenges, it also offers opportunities for innovative solutions. Digital twins emerge as a promising approach to enhancing the cybersecurity posture of smart cities, enabling a dynamic and proactive defense mechanism. By facilitating the simulation of cyber threats in a controlled environment, digital twins allow city administrators to identify weaknesses, test the efficacy of protective measures, and develop more resilient urban infrastructures. In conclusion, the integration of IoT, AI, and ML in smart cities represents a double-edged sword, offering both remarkable opportunities for urban innovation and formidable cybersecurity challenges. This paper underscores the critical importance of adopting a cybersecurity perspective in the development and management of smart cities, highlighting the potential of digital twins as a strategic tool in mitigating these risks. As smart cities continue to evolve, embracing these technologies in a secure and responsible manner will be paramount in realizing their full potential while safeguarding the digital and physical well-being of urban populations.

The intense association of the architecture, engineering, construction, operation, and facility management (AECO/FM) industry with cognitive and behavioral technologies leads to the increase in productivity of industry activities. In light of these thoughts, the building information modeling (BIM) platform is included in the AECO/FM industry to further increase efficiency and deliver construction projects economically, timely, and safely. While the BIM platform can work integrated with many programs and systems, concepts that offer innovative and fast solutions such as artificial intelligence (AI) benefit the AECO/FM industry. The main aim of this study is to understand the tendency of AI in BIM research carried out in different countries and by various scholars. This study adopts a bibliometric search, and a scientometric analysis and mapping approach with applying document-based citation analysis, country-based citation analysis, and country-based bibliographic coupling analysis of scientific research of AI and BIM integration. Data on the use of AI and BIM has been collected by reviewing and screening articles selected from the Scopus database. The results reveal that information management, decision support systems, genetic algorithms, neural networks, knowledge-based systems, machine learning, and deep learning effect AI in BIM research. This article contributes to the AECO/FM literature by analyzing and visualizing the current status and relationship between AI and BIM. Therefore, the findings highlight the gaps and trends in AI and BIM studies and provide new recommendations for future studies.

The convergence of BIM, AI and IoT: Reshaping the future of prefabricated construction

Building Information Modeling (BIM) has emerged as a prospective technology used to advance the practices of construction projects. Also, Internet of Things (IoT), as a technology that connects sensing devices to share information across platforms, has become essential in building and construction environment. The integration of BIM‐IoT in the construction industry, a high‐risk industry, might increase overall performance and reduce related hazards. However, there is a dearth of studies on the integration of BIM and IoT in the construction industry. Scoping review of literature was performed using various databases such as IEEE Xplore, Science Direct, ACM, Emerald Insight, and Taylors & Francis databases to explore the study demographics, research direction, category, adoption, and performance of the BIM‐IoT integration for the construction industry. Out of 2270 articles identified, a total of 81 key and vital articles were found and collected in scoping review to formulate the research questions. The study results revealed that the literature related to BIM‐IoT integration and adoption is moderately steady, with constant output in the last four years. Twelve of the contributions were identified, and five were identified to be proposed more and conducted by researchers: investigation, evaluation, model, framework, and system. Also, fifteen (18.51%) studies were identified from the selected works that were evaluated using performance measurement. The findings shed light on some of the most significant difficulties in research related to BIM‐IoT integration in the construction industries as well as potential future initiatives.

The advancement of digital technology in the construction industry has driven the integration of Building Information Modelling (BIM) and Augmented Reality (AR) as a new approach to improving project management efficiency. This article presents a Systematic Literature Review (SLR) aimed at evaluating the benefits and challenges of implementing BIM and AR integration in supporting construction project management performance, particularly in terms of cost, time, and quality management. The analysis reveals that the integration of BIM and AR significantly contributes to real-time project progress monitoring, enhanced team communication and coordination, accelerated decision-making, and improved schedule and quality control. However, the implementation of these technologies still faces challenges, such as visual overlay accuracy, loss of BIM metadata, hardware limitations, and human resource readiness. This study highlights the need for the development of technical guidelines and comprehensive adoption strategies, while also identifying opportunities for further research, particularly in the integration of 5D BIM and AR for more optimal project resource management.

Building information modelling (BIM) has become increasingly popular in construction projects in recent years. Simultaneously, project management has received more attention from academics and practitioners worldwide. Many studies have suggested that perceiving collaboration and risk are critical for successful construction project management. This study investigates the current status and future trends in building information modeling (BIM) literature from the Web of Science database. This review systematically uses bibliometric and systematic literature review (SLR) methods through co-occurrence and co-citation analysis. First, 650 academic documents were retrieved from the Web of Science database. Then, co-occurrence and co-citation analyses were performed along with network visualization to examine research interconnections’ patterns. As a result, relevant keywords, productive authors, and important journals have been highlighted. The prominent research topics within the literature on building information modelling focus on the following topics: collaborative in BIM, integration of BIM, GIS and Internet of Things (IoT), barriers to the integration of BIM, sustainability and BIM, and risk assessment and uncertainty. Finally, the potential research directions are developing towards digital twin technology, integration of BIM and AI, and Augmented Reality (AR) and BIM. The presented findings of only 88 articles discuss the collaboration and risk issue in BIM for the construction industry and thus confirms the need for more studies on this topic to enhance the chances of successfully building information modelling projects. The review focuses only on the academic documents retrieved from the Web of Science database, thus restricting the coverage of the reviewed literature relating to building information modelling collaboration and risk.

A review of building information modeling (BIM) and the internet of things (IoT) devices integration: Present status and future trends

The construction industry has witnessed significant technological advancements in recent years, with Building Information Modelling (BIM) emerging as a pivotal innovation. BIM's integration with Project Management (PM) is recognized as a transformative approach that can potentially enhance efficiency, accuracy, and collaboration within the Architecture, Engineering, and Construction (AEC) industry. This paper explores the integration of BIM and PM, focusing on identifying the challenges and benefits inherent in this convergence. The primary aim is to understand how the synergistic use of BIM and PM can be optimized to improve project outcomes in the construction sector. As the industry evolves, understanding these dynamics becomes crucial for stakeholders aiming to leverage technological advancements for optimal project delivery. The research problem central to this study stems from the observed gaps and challenges in effectively integrating BIM with PM practices. While BIM offers a multidimensional, collaborative framework for construction projects, its full potential is often unrealized due to various implementation challenges. These challenges include technical issues, lack of standardization, and resistance to change within organizational cultures. Recognizing the importance of this integration, the study sets out to answer key research questions revolving around the current state of BIM and PM integration, the main challenges faced, and the potential strategies for effective implementation. The objectives include a detailed analysis of the current practices in BIM implementation, identification of the barriers to effective integration, and proposing a framework that can enhance the synergy between BIM and PM. The methodology employed in this research involves a comprehensive literature review, followed by a survey-based approach to gather data from industry professionals. This data provides insights into the practical aspects of BIM and PM integration and helps in identifying the key factors that influence project success in the context of this integration. This paper contributes to the existing body of knowledge by providing a nuanced understanding of the complexities and potential of integrating BIM and PM. It aims to offer a strategic framework that can guide practitioners and stakeholders in effectively navigating the challenges and leveraging the benefits of this integration for enhanced project performance in the AEC industry.

The present study uses a bibliometric and systematic literature review (SLR) to examine the use of Building Information Modeling (BIM), the Internet of Things (IoT), and Digital Twins (DT) in the construction industry. The network visualization and other approaches based on the Web of Science (WOS) database and the patterns of research interactions were explored in 1879 academic publications using co-occurrence and co-citation investigations. Significant publications, conferences, influential authors, countries, organizations, and funding agencies have been recognized. Our study demonstrates that BIM, IoT, and DT in construction, Heritage BIM (HBIM), Smart Contracts, BIM, and Ontology, and VR and AR in BIM and DT are the main study themes. Finally, several prospective areas for future study are identified, including BIM and Metaverse technology, BIM and Artificial Intelligence (AI), Metaheuristic algorithms for optimization purposes in BIM, and the Circular Economy with BIM and IoT.