ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2024, Volume and Issue: 220, P. 100 - 124
Published: Dec. 13, 2024
Language: Английский
Construction Materials and Products, Journal Year: 2024, Volume and Issue: 7(4), P. 7 - 7
Published: Aug. 9, 2024
The object of research is the potential application digital twins and neural network modeling for optimizing construction processes. Method. Adopting a perspective approach, conducts an extensive review existing literature delineates theoretical framework integrating technologies. Insights from inform development methodologies, while case studies practical applications are explored to deepen understanding these integrated approaches system optimization. Results. yields following key findings: Digital Twins: Offer capability create high-fidelity virtual representations physical systems, enabling real-time data collection, analysis, visualization throughout project lifecycle. This allows proactive decision-making, improved constructability enhanced coordination between design field operations. Neural Network Modeling: Possesses power learn complex relationships vast datasets, predictive optimization behavior. networks can be employed forecast timelines, identify risks, optimize scheduling resource allocation. Integration Twins Networks: Presents transformative avenue processes by facilitating data-driven design, maintenance equipment infrastructure, performance monitoring. synergistic approach lead significant improvements in efficiency, reduced costs, overall quality.
Language: Английский
Citations
4
Computational Urban Science, Journal Year: 2025, Volume and Issue: 5(1)
Published: April 16, 2025
Abstract Urban Digital Twin (UDT) technology is increasingly recognised as a promising tool for designing and developing sustainable, resilient urban environments. Nonetheless, the current literature lacks comprehensive understanding of UDTs’ applications in built environment. Therefore, this study addresses identified gap by analysing scholarly industry reports connected to UDT implementations. The results scientometric analysis revealed five key research fields including: (i) monitoring controlling, (ii) smart planning, (iii) environmental management, (iv) decision-making, (v) sustainable cities. Further, analysed 10 on identify practical insights evaluate industry-driven approaches implementing solutions Despite progress, findings indicate absence clear, structured process facilitate consistent implementation, scalability, interoperability technology. This further highlights need globally guidelines well-defined KPIs fully realise its potential also presents new classification model developed from flow elaborate main outcomes clusters towards pathways. proposed reintroduces structure with interpret correlate content previous studies. Based these insights, offers recommendations support advancement building resilient,
Language: Английский
Citations
0
Energies, Journal Year: 2024, Volume and Issue: 17(21), P. 5342 - 5342
Published: Oct. 27, 2024
As outlined by the International Energy Agency, 44% of carbon emissions in 2021 were attributed to electricity and heat generation. Under this critical scenario, power industry has adopted technologies promoting sustainability form smart grids, microgrids, renewable energy. To overcome technical challenges associated with these emerging approaches preserve stability reliability system, integrating advanced digital such as Digital Twins (DTs) Artificial Intelligence (AI) is crucial. While existing research explored DTs AI systems separately, an overarching review their combined, synergetic application sustainable lacking. Hence, work, a comprehensive scoping conducted under Preferred Reporting Items for Systematic Reviews Meta-Analyses extension Scoping (PRISMA-ScR). The main results analysed breadth relationships among systems, DTs, dynamics presented evolutionary timeline three distinct periods maturity. prominent utilisation deep learning, supervised reinforcement swarm intelligence techniques was identified mainly constrained system operations maintenance functions, along potential more sophisticated computer vision, natural language processing, robotics. This also discovered sustainability-related objectives addressed AI-powered encompassing energy integration efficiency, while encouraging investigation direct efforts on systems.
Language: Английский
Citations
3
Buildings, Journal Year: 2024, Volume and Issue: 14(11), P. 3475 - 3475
Published: Oct. 31, 2024
Digital Twin (DT) technologies have demonstrated a positive impact across various stages of the Architecture, Engineering, and Construction (AEC) industry. Nevertheless, industry has been slow to undergo digital transformation. The paper utilizes Systematic Literature Review (SLR) approach study total 842 papers on application DT in buildings, landscapes, urban environments (BLU) from 2018 2024. Based research results, suggestions made for future practical directions. Meanwhile, it provides assistance BLU’s designers, constructors, managers, policymakers establishing their understanding transformation AEC existing relevant can be mainly divided into three categories: case study, framework technology study. Compared with buildings environment industries, number depth landscape are relatively low. Through in-depth analysis BLU projects, trends determined: (1) design planning stage; (2) development tools basic theory based model; (3) exploration
Language: Английский
Citations
1
ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2024, Volume and Issue: 220, P. 100 - 124
Published: Dec. 13, 2024
Language: Английский
Citations
1