Enhancing Space Management through Digital Twin: A Case Study of the Lazio Region Headquarters

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(17), P. 7463 - 7463

Published: Aug. 23, 2024

Digital Twin is becoming an increasingly powerful resource in the field of building production, replacing traditional processes Architecture, Engineering, Construction and Operations sector. This study concerned with development a DT, enabled by Building Information Modeling, artificial intelligence, machine learning, Internet Things to implement space management strategies. It proposes application case for Lazio Region headquarters, which has partly adopted smart working typology post-COVID-19. The aim create accurate digital replica based on BIM, integrated real-time data. will help improve use space, resources, quality services provided community. also improves energy efficiency, reducing consumption 530.40 MWh per year greenhouse gas emissions 641.32 tons CO2 year. research holistic framework implementation innovative solutions context public infrastructure through technology, facilitating promotion efficiency sustainability decision-making operational methodology.

Language: Английский

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Digital twin (DT) and extended reality (XR) for building energy management

Energy and Buildings, Journal Year: 2024, Volume and Issue: 323, P. 114746 - 114746

Published: Aug. 31, 2024

Language: Английский

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Developing an openBIM Information Delivery Specifications Framework for Operational Carbon Impact Assessment of Building Projects

Sustainability, Journal Year: 2025, Volume and Issue: 17(2), P. 673 - 673

Published: Jan. 16, 2025

BIM (building information modeling) is widely recognized for enhancing the efficiency and precision of building energy modeling (BEM), primarily by reducing model development time improving accuracy. This paper presents a novel framework leveraging “openBIM” to standardize harmonize BIM-driven solutions simulations, facilitating comprehensive operational carbon impact assessments. Unlike existing approaches, our uniquely integrates delivery specifications (IDS) with openBIM standards define minimum data requirements within IFC schema, tailored various levels (LOD). innovation ensures consistent exchange interoperability across diverse simulation tools, addressing common challenges fragmentation inaccuracy in By advancing current state art, proposed empowers modelers, LCA analysts, asset managers streamline IDS implementation, fostering more efficient reliable construction industry practices. research thus marks significant step towards achieving sustainable projects through enhanced data-driven insights.

Language: Английский

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Industry 4.0: digital twins characteristics, applications, and challenges in-built environments

Production & Manufacturing Research, Journal Year: 2025, Volume and Issue: 13(1)

Published: Feb. 1, 2025

The emergence of Digital Twins (DT) represents a significant technological innovation aimed at enhancing the design, construction, and operation built assets. DT are virtual representations physical objects, allowing an effective management across various stages within construction infrastructure sectors. While technology offers considerable potential, it remains in its infancy faces challenges such as integration with other Industry 4.0 technologies uncertainties about their actual uses applications still exist. This paper seeks to define explore key characteristics environment, examine relationship Building Information Modeling (BIM), evaluate interactions maintenance Despite these potential benefits, several prevent widespread adoption data security ownership concerns, lack common standards interoperability, difficulties managing diverse source systems.

Language: Английский

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Transforming Hospital HVAC Design with BIM and Digital Twins: Addressing Real-Time Use Changes

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3312 - 3312

Published: April 8, 2025

Traditional HVAC designs often struggle to respond promptly and accurately dynamic changes in complex environments like hospital usage. This paper introduces a novel framework that integrates Building Information Modeling (BIM), digital twin technology, practical medical processes transform design for construction. The ensured smarter (with reduction of 90% calculation time an improvement 38.20–53.24% respondence speed) cleaner environment after identifying calculating the rational layout functional areas optimizing intersecting flow lines. A key innovation this research was application Support Vector Machine (SVM) deep learning algorithm (Long Short-Term Memory) networks real-time pedestrian traffic prediction. implementation validated through multiple simulations applications including horizontal vertical negative pressure analyses three distinct departments. findings underline potential BIM twins optimize systems design, providing adaptive, data-driven solutions both routine operations emergency scenarios. offers scalable approach modernizing healthcare infrastructure, ensuring resilience efficiency diverse operational contexts.

Language: Английский

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Integration of BIM and ontologies for pumped storage hydropower design change management in EPC projects

Automation in Construction, Journal Year: 2025, Volume and Issue: 175, P. 106189 - 106189

Published: April 21, 2025

Language: Английский

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Symmetry-Aware Hybrid Verification for Complex Building Information Systems

Symmetry, Journal Year: 2025, Volume and Issue: 17(5), P. 726 - 726

Published: May 9, 2025

As building information model technologies become more complex and interconnected, the validation of models remains critical to ensure their reliability effectiveness in practical applications. However, most existing research focuses on application modeling a single domain lacks collaborative overall behavior dynamic systems. Therefore, how correctness systems has challenging issue. To solve this problem, paper proposes symmetry-aware hybrid framework that combines Timed Automata (TA), Unified Modeling Language (UML), AnyLogic simulation enhance logical systems; inherently preserves structural temporal symmetry between formal simulations, ensuring consistent across virtual–physical interactions. Taking Building Information Physical Model (BIPM) as an example, method first solves defects traditional methods consistency by firstly behavioral logic BIPM through UML normalization, transforming into network TA, realizing its interaction mechanism system. Secondly, is used map visual model, which supports real-time display system performance analysis, enhances interpretability provides intuitive decision-making platform for stakeholders. Finally, empirical study air conditioning case shows can effectively integrate verification visualization techniques, providing scalable solution

Language: Английский

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An ontology for automated fault detection & diagnostics of HVAC using BIM and machine learning concepts

Science and Technology for the Built Environment, Journal Year: 2024, Volume and Issue: 30(8), P. 972 - 988

Published: July 1, 2024

Language: Английский

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A synthetic data generation system based on the variational-autoencoder technique and the linked data paradigm

Progress in Artificial Intelligence, Journal Year: 2024, Volume and Issue: 13(2), P. 149 - 163

Published: June 1, 2024

Language: Английский

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Research on Partial Model Extraction of Railway Infrastructure Based on the Industry Foundation Classes Files

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 94690 - 94701

Published: Jan. 1, 2024

To effectively cope with the ever-growing intricacy of railway Industry Foundation Classes (IFC) file sizes, adoption a partial model approach has consistently been recommended as highly effective strategy. This facilitates efficient handling increasing data volumes, enhancing management capabilities IFC files for purposes such storage, exchange, and transmission. paper proposes an algorithm that adopts iterative extraction methodology, grounded on hierarchical model's tree structure to produce desired models. Its primary objective is minimize size large by selectively extracting indispensable By leveraging solely files, this circumvents necessity format conversion or reliance Model View Definitions (MVD). During required models, two types related attributes are simultaneously extracted, relationship entity properties optimized enhance efficiency. assess effectiveness our algorithmic approach, we conducted in-depth case study centered around contemporary high-speed project located in southwestern region China. The extracted models' integrity was verified using BIMvision, while semantic syntax verification performed Express Engine IfcObjectCounter. results demonstrate not only accurately extracts segments from file, but also significantly improves loading efficiency, minimizes memory usage, achieves miniaturization, shows promising performance application prospects.

Language: Английский

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