Synergy in Action: Integrating Environmental Monitoring, Energy Efficiency, and IoT for Safer Shared Buildings

Published: March 21, 2024

Shared public buildings have become centers of innovation, integrating advanced technologies to meet evolving societal needs. With a heightened emphasis on occupants’ health and well-being, these serve as hubs for technological convergence, facilitating seamless connectivity intelligent data analysis management. Within this context, environmental monitoring emerges foundational element, pivotal all aspects building This article provides findings from the nationally funded RE-START project, which focuses shared buildings, with special regard educational medical facilities. The project explores enhanced indoor air quality monitoring, focusing in particular CO2 concentration that is directly correlated occupancy, fundamental element developing safety protocols, energy efficiency strategies, integration smart technologies, data-driven intersection efficiency, security, IoT spaces are relevant. outcomes study reveal delicate nature involved components, need be carefully developed an integrated manner.

Language: Английский

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AI-driven optimization of indoor environmental quality and energy consumption in smart buildings: a bio-inspired algorithmic approach

Journal of Asian Architecture and Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 25

Published: Feb. 28, 2025

Language: Английский

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Integrating Artificial Intelligence and the Internet of Things in Cultural Heritage Preservation: A Systematic Review of Risk Management and Environmental Monitoring Strategies

Buildings, Journal Year: 2024, Volume and Issue: 14(12), P. 3979 - 3979

Published: Dec. 15, 2024

Heritage buildings are increasingly vulnerable to environmental challenges like air pollution and climate change. Traditional preservation methods primarily rely on periodic inspections manual interventions struggle address these evolving dynamic threats. This systematic review analyzes how integrating Artificial Intelligence (AI) Internet of Things (IoT) technologies can transform cultural heritage preservation. Using the PRISMA guidelines, 92 articles from SCOPUS were reviewed, highlighting key risk management monitoring methodologies. The study found that while IoT enables real-time quality structural health monitoring, AI enhances data analysis, providing predictive insights. combination facilitates proactive management, ensuring more resilient conservation strategies. Despite growing use technologies, adoption remains uneven, particularly in regions most impacted by identifies significant research gaps proposes an innovative framework leverages Building Information Modeling (H-BIM) Digital Twin (DT) for continuous maintenance through a multi-step process, beginning with digitalization assets using H-BIM, followed creation digital replicas via DT. By advanced offers adaptive sustainable approach preserving heritage, addressing both immediate threats long-term vulnerabilities. underscores need global, technology-driven response safeguard future generations.

Language: Английский

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Automatic Design and Monitoring of Mass Concrete Based on Information Technology

Buildings, Journal Year: 2024, Volume and Issue: 14(10), P. 3248 - 3248

Published: Oct. 14, 2024

Mass concrete construction has the characteristics of large scale, complex technology, high professional requirements, and management. In this paper, information technology is introduced into process mass concrete, aiming to develop a system that integrates automatic design visual management monitoring schemes improve its efficiency. scheme designed, data acquisition terminal sensor extended, model created based on IFC framework. Finally, paper verifies feasibility practicability through actual case-commercial raft foundation. The results show method provides digital platform for construction, highlighting advantages proposed traditional method.

Language: Английский

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Raspberry Pi-Based IoT System for Grouting Void Detection in Tunnel Construction

Buildings, Journal Year: 2024, Volume and Issue: 14(11), P. 3349 - 3349

Published: Oct. 23, 2024

This paper presents an IoT-based solution for detecting grouting voids in tunnel construction using the Raspberry Pi microcomputer. Voids between primary and secondary linings can compromise structural integrity, traditional methods like GPR lack continuous feedback. The proposed system uses embedded electrical wires lining to measure conductivity, with disruptions indicating unfilled voids. monitors this real time, uploading data a cloud platform engineer access via smartphone. Field tests were conducted full-scale, 600 m long evaluate system’s effectiveness. demonstrated accuracy various geometries, including straight sections, curves, intersections. Using only void detection system, largest detected post-grouting was 1.8 cm, which is within acceptable limits does not tunnel’s integrity or safety. proved be cost-effective scalable real-time monitoring during process, eliminating need manual inspections. study highlights potential of solutions smart construction, providing reliable practical method improving safety operational efficiency operations.

Language: Английский

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