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Advanced Intelligent Sensing for Building Monitoring

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (1 April 2025) | Viewed by 1015

Special Issue Editors


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Guest Editor
Department of Civil Engineering, University of Salerno, Via Giovanni Paolo II, 132 Universita degli studi di Salerno, 84084 Salerno, Italy
Interests: structural health monitoring; artificial intelligence; remote sensing; intelligent sensing
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Guest Editor
Department of Civil and Environment Engineering, Universitat Politècnica de Catalunya, BarcelonaTech, C/Jordi Girona 1-3, 08034 Barcelona, Spain
Interests: low-cost sensor; structural health monitoring applications; bridge structure; operational modal analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The increasing demand for smart, energy-efficient buildings has led to the development of advanced monitoring systems that can ensure structural integrity, optimize energy consumption, and maintain environmental comfort. Intelligent sensing technologies have emerged as a viable solution, offering a cost-effective real-time data collection and analysis method. However, the challenge lies in ensuring the reliability of the vast amounts of data these sensors generate, particularly when dealing with the uncertainties and noise inherent in real-world environments.

This Special Issue titled "Advanced Intelligent Sensing for Building Monitoring" focuses on the latest advancements in sensor technology and intelligent systems designed to enhance the monitoring and management of building environments. As buildings become increasingly complex and connected, the need for sophisticated sensing solutions has grown.

We invite submissions that delve into various aspects of this field, including cutting-edge developments in sensor networks, data analytics, machine learning, and IoT technologies that drive building monitoring innovations. Topics may include smart sensors for structural health monitoring, energy management, indoor air quality assessment, and security. The goal is to showcase research that contributes to creating safer, more efficient, and sustainable buildings.

Dr. Seyyedbehrad Emadi
Dr. Komarizadehasl Seyedmilad
Guest Editors

Manuscript Submission Information

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Keywords

  • low-cost sensor
  • intelligent sensing
  • building monitoring
  • artificial intelligence
  • smart buildings
  • energy efficiency
  • structural health monitoring
  • intelligent systems
  • environmental control

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Published Papers (1 paper)

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Research

29 pages, 8379 KiB  
Article
Vertex-Oriented Method for Polyhedral Reconstruction of 3D Buildings Using OpenStreetMap
by Hanli Liu, Carlos J. Hellín, Abdelhamid Tayebi, Francisco Calles and Josefa Gómez
Sensors 2024, 24(24), 7992; https://doi.org/10.3390/s24247992 - 14 Dec 2024
Cited by 1 | Viewed by 719
Abstract
This work presents the mathematical definition and programming considerations of an efficient geometric algorithm used to add roofs to polyhedral 3D building models obtained from OpenStreetMap. The algorithm covers numerous roof shapes, including some well-defined shapes that lack an explicit reconstruction theory. These [...] Read more.
This work presents the mathematical definition and programming considerations of an efficient geometric algorithm used to add roofs to polyhedral 3D building models obtained from OpenStreetMap. The algorithm covers numerous roof shapes, including some well-defined shapes that lack an explicit reconstruction theory. These shapes include gabled, hipped, pyramidal, skillion, half-hipped, gambrel, and mansard. The input data for the developed code consist of latitude and longitude coordinates defining the target area. Geospatial data necessary for the algorithm are obtained through a request to the overpass-turbo service. The findings showcase outstanding performance for buildings with straightforward footprints, but they have limitations for the ones with intricate footprints. In future work, further refinement is necessary to solve the mentioned limitation. Full article
(This article belongs to the Special Issue Advanced Intelligent Sensing for Building Monitoring)
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