Situation-aware Cyber–Physical–Social System for Cultural Heritage

The safeguard of cultural heritage (CH) is one of the most of interest issues for all the countries, like Italy, known for their thousand-year history. Cultural properties have to be maintained regularly and effectively so that the condition of such properties remains good at all times. Human operators have always been the ones in charge of monitoring and maintaining these properties, with domain experts capable of understanding when and how the maintenance has to be done. In our paper, we define a CH asset as a Cyber-Physical-Social System. We designed and proposed a prototype of a Situation-aware Cyber-Physical-Social System (CPSS) for Cultural Heritage, capable of supporting the human operator situation awareness. The CPSS is a Machine Learning (ML) and expert based system equipped with modules for capturing information, which are then processed with ML techniques to identify asset maintenance issues, understanding how they will evolve, and what are the priorities in the maintenance activity to be performed. We propose three case studies relating respectively to: four structures in the archaeological site of Pompeii, three in the archaeological site of Paestum, and three related to the area the archaeological site of the Colosseum, in Rome, for the safeguarding of which the system uses vulnerability indexes, calculated using prior knowledge related to these structures, maintenance issues detected from aerial photos using a YoloV7 detection model, and context space theory with weather and anthropogenic flow data. We showed how it was possible to identify critical and dangerous situations for these zones, with vulnerability indexes capable of mitigating damaged and dangerous areas to be left in that state with the advent of adverse weather phenomena, which indeed from the photos appeared damaged and flooded. • Situational awareness is a cornerstone for supporting decisions and operations in cultural heritage management. • A cultural heritage site can be viewed as a Cyber-Physical-Social System Framework. • We define a novel Situation-aware Cyber-Physical-Social System for Cultural Heritage Monitoring and Preservation. • A case study on the archaeological site of Pompeii demonstrates the feasibility of the framework.

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Publication Details

Journal
Intelligent Systems with Applications
Published
2025-06-13
DOI
https://doi.org/10.1016/j.iswa.2025.200544
Citations
5
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
6.07
Controls
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article

Situation-aware Cyber–Physical–Social System for Cultural Heritage

Gabriel Zuchtriegel, Francesco Colace, Giuseppe D’Aniello, Rosario Gaeta et al.
5 citations
Intelligent Systems with Applications
Robotics and Automated Systems
6.07
article

Situation-aware Cyber–Physical–Social System for Cultural Heritage

Gabriel Zuchtriegel, Francesco Colace, Giuseppe D’Aniello, Rosario Gaeta, Massimo De Santo
article en
5 citations

Abstract

The safeguard of cultural heritage (CH) is one of the most of interest issues for all the countries, like Italy, known for their thousand-year history. Cultural properties have to be maintained regularly and effectively so that the condition of such properties remains good at all times. Human operators have always been the ones in charge of monitoring and maintaining these properties, with domain experts capable of understanding when and how the maintenance has to be done. In our paper, we define a CH asset as a Cyber-Physical-Social System. We designed and proposed a prototype of a Situation-aware Cyber-Physical-Social System (CPSS) for Cultural Heritage, capable of supporting the human operator situation awareness. The CPSS is a Machine Learning (ML) and expert based system equipped with modules for capturing information, which are then processed with ML techniques to identify asset maintenance issues, understanding how they will evolve, and what are the priorities in the maintenance activity to be performed. We propose three case studies relating respectively to: four structures in the archaeological site of Pompeii, three in the archaeological site of Paestum, and three related to the area the archaeological site of the Colosseum, in Rome, for the safeguarding of which the system uses vulnerability indexes, calculated using prior knowledge related to these structures, maintenance issues detected from aerial photos using a YoloV7 detection model, and context space theory with weather and anthropogenic flow data. We showed how it was possible to identify critical and dangerous situations for these zones, with vulnerability indexes capable of mitigating damaged and dangerous areas to be left in that state with the advent of adverse weather phenomena, which indeed from the photos appeared damaged and flooded. • Situational awareness is a cornerstone for supporting decisions and operations in cultural heritage management. • A cultural heritage site can be viewed as a Cyber-Physical-Social System Framework. • We define a novel Situation-aware Cyber-Physical-Social System for Cultural Heritage Monitoring and Preservation. • A case study on the archaeological site of Pompeii demonstrates the feasibility of the framework.

Intelligent Systems with ApplicationsVol. 27
Ministry of Culture (IN), University of Salerno (IT)
Sustainable cities and communities
Openalex Percentile: Top 4%
Robotics and Automated Systems
6.07
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