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Construction 4.0: Sensors and Process for Building Management

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

Deadline for manuscript submissions: closed (25 November 2022) | Viewed by 4292

Special Issue Editors


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Guest Editor
DICEAA-Department of Civil, Construction-Architectural and Environmental Engineering, University of L’Aquila, 67100 L’Aquila, Italy
Interests: sustainable rehabilitation; historical buildings; green infrastructures; construction site management
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
DICEAA-Department of Civil, Construction-Architectural and Environmental Engineering, University of L’Aquila, 67100 L’Aquila, Italy
Interests: IoT for construction; construction site management; Construction 4.0; passive cooling; chimney ventilation; comfort indoor; sustainable historical buildings; green infrastructures

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Guest Editor

Special Issue Information

Dear Colleagues,

the concept of Construction 4.0 is beginning to gradually establish itself as a great revolution in the construction sector. Building 4.0 is part of the concept of Industry 4.0 in construction and involves the use of connectivity technologies for decision-making in real time: it can be defined as a decentralized connection between physical space and cyberspace through ubiquitous connectivity. This type of connection can be referred to the technological approach that is involved in BIM; in fact, it is possible to establish a technological connection between construction sites and models. In these models, investigations of the effects of human presence and management is essential, but with the advent of building 4.0, certain technologies can gradually replace the roles of humans in situ. Building 4.0 is based on broader spectrum technologies that involve the use of sensors, the Internet of Things, cloud computing, and BIM models in order to automate the process. So-called smart construction sites start from the beginning of construction and continue throughout the construction process and throughout the life cycle of the building. In this way, sensors and systems allow real-time control through simulations of the building during all aspects of its construction. These models are the most useful in the construction phase and can be combined with sensors, drones, robotics, and monitoring systems to control all aspects of performance, even during the maintenance phase of the building.

This integration will allow a multilevel interconnection between human beings and technology in order to create a decentralized decision-making process. These models can be managed through decision-making platforms that connect the construction site with smart factories and with connected buildings and cities.

Topics of interest for this Special Issue include but are not limited to:

  • Efficient solutions for determining and integrating sensors/actuators for Construction 4.0;
  • Innovative sensing strategies for energy-efficient process monitoring;
  • Real-time manufacturing energy data analysis and diagnostics;
  • Internet of Things (IoTs);
  • Cyber–Physical Systems (CPS);
  • Solutions for a smart and efficient construction site;
  • BIM and sensors for construction sites;
  • Improving site safety;
  • Reducing risks;
  • Enviromental protection;
  • Sustainable production systems;
  • Digital twins.

Prof. Pierluigi De Berardinis
Prof. Dr. Marianna Rotilio
Dr. Eleonora Laurini
Prof. Dr. Vincenzo Stornelli
Guest Editors

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Keywords

  • construction site management
  • sensors
  • Internet of Things
  • ICT
  • BIM
  • sustainability
  • management
  • smart buildings
  • Construction 4.0
  • digital twins

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Published Papers (1 paper)

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Research

21 pages, 5524 KiB  
Article
A LoRaWAN Multi-Technological Architecture for Construction Site Monitoring
by Mattia Ragnoli, Davide Colaiuda, Alfiero Leoni, Giuseppe Ferri, Gianluca Barile, Marianna Rotilio, Eleonora Laurini, Pierluigi De Berardinis and Vincenzo Stornelli
Sensors 2022, 22(22), 8685; https://doi.org/10.3390/s22228685 - 10 Nov 2022
Cited by 18 | Viewed by 3577
Abstract
It is necessary to ensure safety in terms of health and accidents through the real-time monitoring of the construction site environment and workers. This problem has become of great importance due to the economic and social implications. Therefore, a sensor-based approach has been [...] Read more.
It is necessary to ensure safety in terms of health and accidents through the real-time monitoring of the construction site environment and workers. This problem has become of great importance due to the economic and social implications. Therefore, a sensor-based approach has been found to be beneficial in Building Information Modeling (BIM). Wireless Sensor Network (WSN) technologies are well-suited for the deployment of monitoring systems. A suitable technical solution for node communication in a WSN is Long Range (LoRa) modulation technology. In this study, an autonomous LoRa-based system for the monitoring of a construction site in Lungro, Calabria, Italy, is presented. The spatial monitoring of working personnel is achieved by employing a tracker device with an Inertial Measurement Unit (IMU) and a Global Positioning System (GPS) device. Accesses of personnel and gear to the site are registered using Radio Frequency Identification (RFID) tags equipped with protective gear. Fixed-position solar-powered sensor nodes are also employed for structural monitoring, i.e., movement sensors are used to monitor the variation of scaffolding, building structures, and under-work housing inclinations. Long Range Wide Area Network (LoRaWAN) gateways interface with the nodes and the internet for data exchange, enabling an Internet of Things (IoT) paradigm for the monitoring solution. A comprehensive overview of the workers and structural nodes, along with the RFID access management system and LoRaWAN gateway features, is provided in this article. A description of the web interface is also reported. Full article
(This article belongs to the Special Issue Construction 4.0: Sensors and Process for Building Management)
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