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.

When environmental sustainability is a key feature of an intervention on a building, the design must guarantee minimal impact and damage to the environment. The last ten years have seen a steady increase in the installation of highly efficient systems for winter heating, but this trend has not been mirrored for summer cooling systems. Passive ventilation, however, is a means of summer air conditioning with a low financial and environmental impact. Natural ventilation methods such as “wind towers” have been used to achieve adequate levels of internal comfort in buildings. However, the application of these systems in old town centres, where buildings are often of great architectural value, is complex. This study started with the analysis of various ventilation chimneys in order to identify the most suitable system for temperate climes. Ventilation systems were then designed using static analysis of ventilation with specific software, and installed. The results were assessed and monitored using climatic sensors over the summer period, in order to establish the period of maximum functionality to optimize the system’s performance.

The main result of the research that we intend to illustrate is the connection between the contents of 4.0 Industry (Ciribini 2018), and the information sharing with BIM design (Lucarelli 2018), through the insertion into a single data container (black storage box), of all the sensors inherent to the entire building process, to monitor the building from the early construction phases and obtain a precise history about it. The goal is to create an "As Built" model flanked by the interactive digital building book, capable of an automatic upgrade depending on the variation of the monitored data during the useful life of the building.The aim of this project is to exploit the use of IoT (Gabriele 2015), for the data communication to the black box (Smart Monitoring Building Box – SMBBox) installed in the building from the beginning of the construction site, in order to initially monitor the status work progress and safety management on site, and subsequently, thanks to the combination with the BIM model for data management, it will be possible to digitize the physical and functional characteristics of the case study object.The methodological approach is based on the following steps: BIM modeling; sensor design and installation and data container; data collected updating; "As Built" model creation; Interactive building Drafting. This method is being carried out on a restricted building located in the historic center of L'Aquila, subject to seismic improvement as a result of the damage caused by the 2009 earthquake.

This article looks at a knowledge-based approach to emergency situations caused by earthquakes or other natural disasters, and illustrates how a multidisciplinary approach enables the integration of technical requirements with those of a historical and cultural nature. The case study presented is the recovery of the ex-city hospital of L’Aquila, in Italy, which was hit by an earthquake in 2009. The integrated use of varying investigation methodologies allowed us to establish the effectiveness of a knowledge-based approach, and generated new ideas for the development of the structure and its strategic role within the city.

Heritage rehabilitation can be a sustainable operation when it succeeds in conveying the intangible, historical, artistic, and symbolic value of the building and, at the same time, to ensure the preservation of soil and material resources. The sustainability of the operation must cover the entire life cycle of the building, starting with the management of materials on the construction site, which allows for an increase in its durability while safeguarding its residual performance. This paper, therefore, outlines a process for the sustainable management of materials at the building redevelopment site using the history of the building and the life cycles of related materials. In particular, the following are explored: residual performance of historical and coeval materials, their endogenous and exogenous reuse of materials in the redevelopment project, the traceability aimed at controlling the supply chain, and the material/component identity card. The latter evolves dynamically, providing useful information for carrying out environmental assessments and monitoring the building’s maintenance cycle. The process is applied to a case study involving the redevelopment of the historical built heritage following the 2009 earthquake that struck the city of L’Aquila and neighbouring territories. The case study demonstrated the validity of the method and at the same time made it possible to introduce an innovative process in the territory, raising awareness among those working in the sector of the value of choices that have environmental and economic advantages.

The increasing integration of digital technologies in the construction sector is transforming the processes of buildings design, management, and evaluation throughout their life cycle. Life Cycle Costing (LCC), Building Information Modeling (BIM), and openBIM standards play a key role in promoting economic and environmental sustainability. More recently, Artificial Intelligence (AI) has unlocked novel possibilities for data-driven decision-making and cost optimization. However, the integration of LCC, BIM, and AI is insufficiently explored in the current literature. This study presents a systematic literature review (SLR) aimed at analyzing two distinct lines of research, LCC–BIM and LCC–AI, and identifying underexplored opportunities for their future convergence. A dual-stream approach was adopted to analyze scientific contributions based on LCC–BIM and LCC–AI separately, using bibliometric analysis and the systematic screening of peer-reviewed articles from 2015 to 2025. The findings reveal that while LCC–BIM integration shows growing methodological maturity, AI-based applications are still in an early stage, with limited implementation in construction-specific contexts. The review identifies key challenges, including data fragmentation, a lack of interoperability, and limited standardization, as significant impediments to integrated digital workflows. By highlighting these gaps and proposing actionable future directions, the paper outlines future research directions focused on open data models, AI-enhanced cost estimation, and the development of interoperable frameworks to support sustainable and intelligent cost management in the Architecture, Engineering, and Construction (AEC) sector.