Integration of Building Information Modeling and Artificial Intelligence Systems to Create a Digital Twin of the Construction Site

Chernyshеv, Denys; Dolhopolov, Serhii; Honcharenko, Tetyana; Haman, Halyna; Ivanova, T.; Zinchenko, Myroslava

doi:10.1109/csit56902.2022.10000717

Cited by 5 publications

(5 citation statements)

References 10 publications

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“…This observation extends beyond theoretical speculation; the substantial volume of papers emphasizing AI highlights its pragmatic applications and maturity in the discipline. In addition, several studies have emphasized that the intersection of AI with other groundbreaking technologies, such as blockchain and IoT, has immense potential [26][27][28][29]. They highlight that blockchain can provide secure data storage, while IoT offers real-time data collection, and when combined with AI's analytics capabilities, the trio promises to revolutionize digital twin applications.…”

Section: Convergence Of Core Technologies In Digital Twin Applicationsmentioning

confidence: 99%

Unlocking the Potential of Digital Twins in Construction: A Systematic and Quantitative Review Using Text Mining

Park,

Lee,

Son

et al. 2024

Buildings

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The construction industry has been trying to enhance the level of digitalization and autonomy by adopting various communication and information technologies (ICT), e.g., augmented reality (AR), virtual reality (VR), robotics, drones, or building information modeling (BIM). However, improvement of the safety and productivity in their domains is still a struggle. One of the main reasons for failing to accelerate their digital transformation is ignoring the deep understanding of the concept of digital twin, its usage, and the potential benefits of digital twins in the construction industry. Therefore, this paper investigated the impacts and potentials of digital twins on the construction industry through a quantitative systematic review assisted by the text mining method. The study presented the potential usability of digital twins, leading and core technologies, and applications, revealing their benefits and potential for optimizing project planning, execution, and management process. Through this comprehensive literature review, this study elucidated the distinctive features, advantages, and immense potential that digital twins bring to the construction field. The findings highlight the transformative impact of digital twins, providing critical insights for their broader adoption and groundbreaking applications in the industry. By addressing the challenges of adopting this technology, the article provided valuable insights for advancing research and the broad implementation of digital twins in the sector.

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Section: Convergence Of Core Technologies In Digital Twin Applicationsmentioning

confidence: 99%

Unlocking the Potential of Digital Twins in Construction: A Systematic and Quantitative Review Using Text Mining

Park,

Lee,

Son

et al. 2024

Buildings

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“…The third aspect focuses on the integration Fig. 2 Development of Digital Twin model (Chernyshev et al, 2022) Fig. 2.…”

Section: Digital Twin Modelmentioning

confidence: 99%

“…2. Development of Digital Twin model (Chernyshev et al, 2022) This data is further enriched with Big Data, forming a valuable source of information. Simultaneously, specialists from various fields asynchronously contribute to creating the project`s BIM "Reference Model".…”

Section: Digital Twin Modelmentioning

confidence: 99%

“…Simultaneously, specialists from various fields asynchronously contribute to creating the project`s BIM "Reference Model". First, the actual data is collected on the construction site, then the algorithm classifies the data, and the model's attributes are entered explicitly or implicitly into the BIM Data Storage (Chernyshev et al, 2022). By multi-label classification, ready parts are connected using the FFNN (Feedforward neural network) model.…”

Section: Digital Twin Modelmentioning

confidence: 99%

“…the algorithm classifies the data, and the model's attributes are entered explicitly or implicitly into the BIM Data Storage (Chernyshev et al, 2022). By multi-label classification, ready parts are connected using the FFNN (Feedforward neural network) model.…”

Section: The Stages Of Digital Twin Model Developmentmentioning

confidence: 99%

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Integration of Building Information Modeling and Artificial Intelligence of Things in the Post-War Reconstruction and Renovation of Buildings

CHASHYN,

KHURUDZHI,

DAUKŠYS

2024

sace

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The construction industry of Ukraine shall not only recover but also upgrade, enhance and reevaluate existing building projects. Further research raises two pertinent issues for Ukraine - retrofitting and reconstructing destroyed infrastructure. The study's priority objective is to restore damaged and ruined buildings rapidly. It may be achieved using the creation of recovery methods in Ukraine and countries in the post-conflict stage of development. The research involves creating technical specifications for the product of a new version of the automated construction management system, which provides working with the software complexes based on the BIM model. The system implies using Building Information Modeling (BIM) and Artificial Intelligence of Things (AIoT) to make organization of reconstruction faster, better and less costly. The research has been held to demonstrate the viability of the approach. In addition, we acquire a reduction of energy consumption and an increase in the lifespan of the building by choosing retrofitting methods. The efficacy of BIM and IoT technologies enables the integration of contemporary demands to diminish design time and costs. These technologies also optimise design solutions by assimilating knowledge from previous building and structure designs. Additionally, they offer essential information support for the entire investment project life cycle.

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Software Design and Implementation of Intelligent Security System Based on LoRa

Du,

Peng,

Chu

et al. 2023

2023 15th International Conference on Communication Software and Networks (ICCSN)

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Integration of Building Information Modeling and Artificial Intelligence Systems to Create a Digital Twin of the Construction Site

Cited by 5 publications

References 10 publications

Unlocking the Potential of Digital Twins in Construction: A Systematic and Quantitative Review Using Text Mining

Unlocking the Potential of Digital Twins in Construction: A Systematic and Quantitative Review Using Text Mining

Integration of Building Information Modeling and Artificial Intelligence of Things in the Post-War Reconstruction and Renovation of Buildings

Software Design and Implementation of Intelligent Security System Based on LoRa

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